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1. An input circuit for an electronic translator wherein a first input word represented in a first language is entered to obtain a second word represented in a second language equivalent to the first word, said input circuit comprising: an alphabetical keyboard means comprising a plurality of letter keys, each letter key comprising means for entering key code information representative of a sole letter; a sole symbol additive key switch for adding any one of a plurality of different specific symbols to at least two of the letters entered by the alphabetical keyboard means, and changing means responsive to actuation of the alphabetical keyboard means and the symbol additive key switch for changing the key code of any one of the at least two letters entered by the alphabetical keyboard means to a key code representing a letter including one of said specified different symbols and said one letter, wherein said changing means comprises key strobe signal generator means for providing key strobe signals to the alphabetical keyboard means, said keyboard means acting upon said key strobe signals to provide said key code information; memory means for storing data corresponding to key code information representing said at least two letters; first means for determining when key code information input by said alphabetical keyboard means is the same as said data in said memory corresponding to said key code information representing one of said at least two letters; second means for generating information representative of any one of said plurality of different specific symbols in response to actuation of said sole symbol additive key switch; and third means responsive to said first and second means for combining said information representative of any one of said plurality of different specific symbols with the key code information representing said one of said at least two letters for forming a new type of code information representative of said one letter including one of said specific symbols. | 1. An input circuit for an electronic translator wherein a first input word represented in a first language is entered to obtain a second word represented in a second language equivalent to the first word, said input circuit comprising: an alphabetical keyboard means comprising a plurality of letter keys, each letter key comprising means for entering key code information representative of a sole letter; a sole symbol additive key switch for adding any one of a plurality of different specific symbols to at least two of the letters entered by the alphabetical keyboard means, and changing means responsive to actuation of the alphabetical keyboard means and the symbol additive key switch for changing the key code of any one of the at least two letters entered by the alphabetical keyboard means to a key code representing a letter including one of said specified different symbols and said one letter, wherein said changing means comprises key strobe signal generator means for providing key strobe signals to the alphabetical keyboard means, said keyboard means acting upon said key strobe signals to provide said key code information; memory means for storing data corresponding to key code information representing said at least two letters; first means for determining when key code information input by said alphabetical keyboard means is the same as said data in said memory corresponding to said key code information representing one of said at least two letters; second means for generating information representative of any one of said plurality of different specific symbols in response to actuation of said sole symbol additive key switch; and third means responsive to said first and second means for combining said information representative of any one of said plurality of different specific symbols with the key code information representing said one of said at least two letters for forming a new type of code information representative of said one letter including one of said specific symbols. 4. The circuit according to claim 1, further comprising additional memory means coupled to an address counter means which is responsive to actuation of said alphabetical keyboard means for providing address information to said additional memory means, whereby said additional memory means stores each letter input by said alphabetical keyboard means in order. | 0.5 |
1. A method implemented at least in part by a computer, the method comprising: by a computing system comprising the computer: receiving an observed business metric value for a business metric observed within a group and one or more supporting values further quantifying the business metric; determining a metric case associated with a metric case identifier based on comparing a comparable value and the observed business metric value for the business metric, wherein determining the metric case comprises identifying the metric case with a metric case identifier supporting metric cases comprising above target, above target plus tolerance, below target, and below target minus tolerance; transforming the metric case identifier, one or more supporting values, and observed business metric value into an alert, wherein the transforming comprises (a)-(d): (a) determining an identity for a receiving user and a location of the receiving user in an organizational structure comprising the group; (b) determining a desired perspective based on whether the organizational structure indicates that the receiving user manages the group for which the metric was observed, wherein the desired perspective is determined to be second person when the receiving user manages the group, and the desired perspective is determined to be third person when the receiving user does not manage the group; (c) based at least on the metric case identified by the metric case identifier, looking up a text template in a natural language dictionary organized for look up by metric case identifier and desired perspective, wherein the text template comprises natural language describing the metric case and one or more fields for completion, wherein the looking up switches between text template entries phrased in a second person perspective that describe the metric case and text template entries phrased in a third person perspective that describe the same metric case based on the desired perspective; and (d) completing the text template via the one or more supporting values, wherein completing the text template transforms the text template and comprises substituting the one or more supporting values into the text template; and outputting the alert, wherein the alert comprises a natural language description of a condition of the business metric, wherein the natural language description comprises the completed text template, which comprises the natural language describing the metric case and the one more supporting values. | 1. A method implemented at least in part by a computer, the method comprising: by a computing system comprising the computer: receiving an observed business metric value for a business metric observed within a group and one or more supporting values further quantifying the business metric; determining a metric case associated with a metric case identifier based on comparing a comparable value and the observed business metric value for the business metric, wherein determining the metric case comprises identifying the metric case with a metric case identifier supporting metric cases comprising above target, above target plus tolerance, below target, and below target minus tolerance; transforming the metric case identifier, one or more supporting values, and observed business metric value into an alert, wherein the transforming comprises (a)-(d): (a) determining an identity for a receiving user and a location of the receiving user in an organizational structure comprising the group; (b) determining a desired perspective based on whether the organizational structure indicates that the receiving user manages the group for which the metric was observed, wherein the desired perspective is determined to be second person when the receiving user manages the group, and the desired perspective is determined to be third person when the receiving user does not manage the group; (c) based at least on the metric case identified by the metric case identifier, looking up a text template in a natural language dictionary organized for look up by metric case identifier and desired perspective, wherein the text template comprises natural language describing the metric case and one or more fields for completion, wherein the looking up switches between text template entries phrased in a second person perspective that describe the metric case and text template entries phrased in a third person perspective that describe the same metric case based on the desired perspective; and (d) completing the text template via the one or more supporting values, wherein completing the text template transforms the text template and comprises substituting the one or more supporting values into the text template; and outputting the alert, wherein the alert comprises a natural language description of a condition of the business metric, wherein the natural language description comprises the completed text template, which comprises the natural language describing the metric case and the one more supporting values. 12. The method of claim 1 further comprising: switching between formal and casual language based on a tone parameter. | 0.545205 |
1. A method for translating natural language text, comprising: receiving at least one multimedia element including a first natural language text; generating metadata representing the first natural language text; generating at least one signature for the at least one multimedia element; determining the context of the at least one multimedia element respective of the signature; and searching for a multimedia content element (MMCE) corresponding to the received at least one multimedia element that includes a second natural language text, wherein the search is performed using the at least one signature, the context and metadata generated for the at least input text in a first natural language respective of the context, wherein the second natural language text is a translated text of the first natural language text. | 1. A method for translating natural language text, comprising: receiving at least one multimedia element including a first natural language text; generating metadata representing the first natural language text; generating at least one signature for the at least one multimedia element; determining the context of the at least one multimedia element respective of the signature; and searching for a multimedia content element (MMCE) corresponding to the received at least one multimedia element that includes a second natural language text, wherein the search is performed using the at least one signature, the context and metadata generated for the at least input text in a first natural language respective of the context, wherein the second natural language text is a translated text of the first natural language text. 2. The method of claim 1 , further comprising: identifying the first natural language text in the received at least one multimedia element. | 0.654355 |
15. A computer program product in a non-transitory computer readable storage medium for use in a data processing system, the computer program product holding computer program instructions which, when executed by the data processing system, perform a method of placing virtual machines, the method comprising: representing physical entities upon which the virtual machines are to be placed as a hierarchical tree of bins; receiving one or more virtual machine-to-physical entity constraints on a placement scheme for the virtual machines; and using information derived from the hierarchical tree and the virtual machine-to-physical entity constraints to define, for each level of the hierarchical tree, a placement solution that associates given virtual machines to given physical entities by solving a bin packing problem, wherein the bin packing problem is solved at a given level of the hierarchical tree using a placement algorithm, together with a placement solution from a prior level. | 15. A computer program product in a non-transitory computer readable storage medium for use in a data processing system, the computer program product holding computer program instructions which, when executed by the data processing system, perform a method of placing virtual machines, the method comprising: representing physical entities upon which the virtual machines are to be placed as a hierarchical tree of bins; receiving one or more virtual machine-to-physical entity constraints on a placement scheme for the virtual machines; and using information derived from the hierarchical tree and the virtual machine-to-physical entity constraints to define, for each level of the hierarchical tree, a placement solution that associates given virtual machines to given physical entities by solving a bin packing problem, wherein the bin packing problem is solved at a given level of the hierarchical tree using a placement algorithm, together with a placement solution from a prior level. 19. The computer program product as described in claim 15 wherein the virtual machine-to-physical entity constraints are defined in one or more user-defined rules. | 0.661873 |
1. A method for improving an implementation of a search engine, comprising: identifying a level of search expertise of a searcher that is using the search engine based on a query behavior of the searcher; identifying the search expertise level based on a post-query browsing behavior of the searcher in relation to a search trail, the post-query browsing behavior defined as browsing behavior of the searcher after a query has been submitted to the search engine and the search results have been returned to the searcher and the search trail defined as a consecutive series of Web pages that lay on a hyperlink trail originating with a click on a search engine result and ending with the searcher performing an activity unrelated to a current search; statistically correlating at least one of a plurality of query behavior features with the search expertise level of the searcher; identifying if and how the searcher uses advanced query syntax and advanced query operators as a query behavior feature such that searchers that use advanced query syntax and advanced query operators are more likely to be identified as expert searchers; and classifying the searcher as either a skilled searcher or a novice searcher based whether the search expertise level of the searcher falls on a continuum of search expertise closer to a skilled searcher or a novice searcher, where the search expertise continuum has at one extreme the skilled searcher and at another extreme the novice searcher; using the search expertise level classification to improve the experience that the searcher has with the search engine when performing a search. | 1. A method for improving an implementation of a search engine, comprising: identifying a level of search expertise of a searcher that is using the search engine based on a query behavior of the searcher; identifying the search expertise level based on a post-query browsing behavior of the searcher in relation to a search trail, the post-query browsing behavior defined as browsing behavior of the searcher after a query has been submitted to the search engine and the search results have been returned to the searcher and the search trail defined as a consecutive series of Web pages that lay on a hyperlink trail originating with a click on a search engine result and ending with the searcher performing an activity unrelated to a current search; statistically correlating at least one of a plurality of query behavior features with the search expertise level of the searcher; identifying if and how the searcher uses advanced query syntax and advanced query operators as a query behavior feature such that searchers that use advanced query syntax and advanced query operators are more likely to be identified as expert searchers; and classifying the searcher as either a skilled searcher or a novice searcher based whether the search expertise level of the searcher falls on a continuum of search expertise closer to a skilled searcher or a novice searcher, where the search expertise continuum has at one extreme the skilled searcher and at another extreme the novice searcher; using the search expertise level classification to improve the experience that the searcher has with the search engine when performing a search. 2. The method of claim 1 , further comprising: identifying a number of queries that are constructed by the searcher during a search session as a query behavior feature; and identifying a number of queries submitted during a time period by the searcher as a query behavior feature. | 0.603402 |
14. The method of claim 10 , wherein the search request comprises metadata from the content item. | 14. The method of claim 10 , wherein the search request comprises metadata from the content item. 15. The method of claim 14 , wherein the identifying comprises retrieving the at least one textual identification string from the knowledge database based on the content item identified from the metadata. | 0.934755 |
14. A method of segmenting an image comprising the steps of: (a) performing a preliminary segmentation; (b) providing initial input segmentation parameters; (c) using a fuzzy logic inference system using the initial input segmentation parameters and object features to evaluate new segmentation parameters; and (d) performing segmentation of the image using the new parameters. | 14. A method of segmenting an image comprising the steps of: (a) performing a preliminary segmentation; (b) providing initial input segmentation parameters; (c) using a fuzzy logic inference system using the initial input segmentation parameters and object features to evaluate new segmentation parameters; and (d) performing segmentation of the image using the new parameters. 17. A non-transitory computer readable memory having recorded thereon statements and instructions for execution by a computer to carry out the method of claim 14 . | 0.722833 |
5. A method comprising: receiving, at an ecommerce service, text from a first user, the text in a first language and pertaining to a first listing on the ecommerce service; retrieving contextual information about the first listing; translating the text to a second language; locating, in a database, a plurality of text objects, in the second language, similar to the translated text, each text object comprising textual information pertaining to at least one listing; ranking the plurality of text objects similar to the translated text based on a comparison of the contextual information about the first listing and contextual information stored in the database for the listings corresponding to the plurality of text objects similar to the translated text; translating at least one of the ranked plurality of text objects to the first language; presenting a subset of the ranked plurality of text objects to the first user; receiving feedback from the first user; selecting one of the subset of the ranked plurality of text objects based on the feedback; and using the selected text object in the ecommerce service. | 5. A method comprising: receiving, at an ecommerce service, text from a first user, the text in a first language and pertaining to a first listing on the ecommerce service; retrieving contextual information about the first listing; translating the text to a second language; locating, in a database, a plurality of text objects, in the second language, similar to the translated text, each text object comprising textual information pertaining to at least one listing; ranking the plurality of text objects similar to the translated text based on a comparison of the contextual information about the first listing and contextual information stored in the database for the listings corresponding to the plurality of text objects similar to the translated text; translating at least one of the ranked plurality of text objects to the first language; presenting a subset of the ranked plurality of text objects to the first user; receiving feedback from the first user; selecting one of the subset of the ranked plurality of text objects based on the feedback; and using the selected text object in the ecommerce service. 9. The method of claim 5 , wherein the contextual information stored in the database for the listings includes item description information. | 0.604625 |
1. A processor-based method of determining whether a keyword made up of characters is present in a bitmap input image containing words, the words being considered to extend horizontally, the method comprising the steps of: providing a set of previously trained single-character hidden Markov models (HMMs), each single-character HMM having a number of possible contexts, depending on whether the character has an ascender or a descender; concatenating those single-character HMMs that correspond to the characters in the keyword so as to create a keyword HMM, the context of a given single-character HMM used to create the keyword HMM being determined on the basis of whether the keyword contains characters having ascenders or a descenders; constructing an HMM network that includes a path passing through the keyword HMM; locating a portion of the input image potentially containing a word; providing an array of pixel values, referred to as a potential keyword, representing the portion of the input image; horizontally sampling the potential keyword to provide a plurality of segments wherein each segment extends the entire height of the potential keyword and the sampling to provide segments is performed in a manner that is independent of the values of the pixels in the potential keyword; for each segment, generating at least one feature that depends on the values of the pixels in the segment, thereby providing a set of features based on the potential keyword, the set of features providing shape information regarding the word potentially contained in the portion of the input image; applying the set of features to the HMM network; determining a probability for the potential keyword as applied to the path passing through the keyword HMM; and comparing the probability, so determined, relative to an additional probability value so as to provide an indication whether the potential keyword is the keyword. | 1. A processor-based method of determining whether a keyword made up of characters is present in a bitmap input image containing words, the words being considered to extend horizontally, the method comprising the steps of: providing a set of previously trained single-character hidden Markov models (HMMs), each single-character HMM having a number of possible contexts, depending on whether the character has an ascender or a descender; concatenating those single-character HMMs that correspond to the characters in the keyword so as to create a keyword HMM, the context of a given single-character HMM used to create the keyword HMM being determined on the basis of whether the keyword contains characters having ascenders or a descenders; constructing an HMM network that includes a path passing through the keyword HMM; locating a portion of the input image potentially containing a word; providing an array of pixel values, referred to as a potential keyword, representing the portion of the input image; horizontally sampling the potential keyword to provide a plurality of segments wherein each segment extends the entire height of the potential keyword and the sampling to provide segments is performed in a manner that is independent of the values of the pixels in the potential keyword; for each segment, generating at least one feature that depends on the values of the pixels in the segment, thereby providing a set of features based on the potential keyword, the set of features providing shape information regarding the word potentially contained in the portion of the input image; applying the set of features to the HMM network; determining a probability for the potential keyword as applied to the path passing through the keyword HMM; and comparing the probability, so determined, relative to an additional probability value so as to provide an indication whether the potential keyword is the keyword. 3. The method of claim 1 wherein the step of locating includes performing at least one reduction operation on the input image. | 0.697125 |
11. A non-transitory computer readable medium including computer executable instructions, wherein the instructions, when executed by a processor, cause the processor to perform a method comprising: translating an original sentence which is a character string of a first language into a forward-translated sentence which is a character string of a second language; acquiring, by translating an original word in the original sentence corresponding to a first forward-translated word in the forward-translated sentence, at least one second forward-translated word different from the first forward-translated word, to obtain candidate words including the first forward-translated word and the at least one second forward-translated word; calculating a fluency for each of the candidate words, the fluency indicating naturalness of the forward-translated sentence if each of the candidate words is replaced with the first forward-translated word; obtaining at least one reverse-translated word for each of the candidate words by reverse-translating each candidate word into the first language; calculating a semantic similarity between the original word and each reverse-translated word; and selecting a corrected forward-translated word to be replaced with the first forward-translated word from among the candidate words based on the semantic similarity and fluency. | 11. A non-transitory computer readable medium including computer executable instructions, wherein the instructions, when executed by a processor, cause the processor to perform a method comprising: translating an original sentence which is a character string of a first language into a forward-translated sentence which is a character string of a second language; acquiring, by translating an original word in the original sentence corresponding to a first forward-translated word in the forward-translated sentence, at least one second forward-translated word different from the first forward-translated word, to obtain candidate words including the first forward-translated word and the at least one second forward-translated word; calculating a fluency for each of the candidate words, the fluency indicating naturalness of the forward-translated sentence if each of the candidate words is replaced with the first forward-translated word; obtaining at least one reverse-translated word for each of the candidate words by reverse-translating each candidate word into the first language; calculating a semantic similarity between the original word and each reverse-translated word; and selecting a corrected forward-translated word to be replaced with the first forward-translated word from among the candidate words based on the semantic similarity and fluency. 14. The medium according to claim 11 , wherein the obtaining the at least one reverse-translated word extracts at least one word of the first language obtained by translating each candidate words as the at least one reverse-translated word. | 0.594456 |
1. A computer-implemented method comprising: automatically generating, by computer, a digital representation of a first person based on one or more of an appearance, a voice, or a behavior of the first person; automatically, by computer, engaging with a second person to render a song on behalf of the first person using the computer-generated digital representation of the first person, the rendering of the song being based on an automated analysis of one or more of a musical style, a musical ability, and a musical behavior of the first person; and on behalf of the first person and using the computer-generated digital representation of the first person, while rendering the song with the second person, providing, by computer, a natural language response to a question or statement from the second person based on information received from or about the first person. | 1. A computer-implemented method comprising: automatically generating, by computer, a digital representation of a first person based on one or more of an appearance, a voice, or a behavior of the first person; automatically, by computer, engaging with a second person to render a song on behalf of the first person using the computer-generated digital representation of the first person, the rendering of the song being based on an automated analysis of one or more of a musical style, a musical ability, and a musical behavior of the first person; and on behalf of the first person and using the computer-generated digital representation of the first person, while rendering the song with the second person, providing, by computer, a natural language response to a question or statement from the second person based on information received from or about the first person. 17. The method of claim 1 , comprising receiving a request from the second person to render the song. | 0.558911 |
1. A computer-implemented system that facilitates model enhancement, comprising: at least one processor configured to provide a modeling component that builds and runs a model based on data associated with a user, the model indicating interruptability of the user; and a sampling component that determines a time at which to obtain additional data associated with the user for building the model, the data being obtained by probing the user, and the time being determined based on: failure analysis of the model; and a state of the user. | 1. A computer-implemented system that facilitates model enhancement, comprising: at least one processor configured to provide a modeling component that builds and runs a model based on data associated with a user, the model indicating interruptability of the user; and a sampling component that determines a time at which to obtain additional data associated with the user for building the model, the data being obtained by probing the user, and the time being determined based on: failure analysis of the model; and a state of the user. 6. The system of claim 1 , wherein the sampling component initiates sampling of a new set of data when the model performs below a predetermined criterion. | 0.55997 |
13. A method executed in a computer system, the method comprises: using by one or more computer systems a search engine to search a database of models to find a model; querying by one or more computer systems the model to develop an inference of the likelihood of a future event; and allowing by the one or more computers a user to discard variables in the model below a certain threshold of relevancy for at least one of calculation time and predictive accuracy. | 13. A method executed in a computer system, the method comprises: using by one or more computer systems a search engine to search a database of models to find a model; querying by one or more computer systems the model to develop an inference of the likelihood of a future event; and allowing by the one or more computers a user to discard variables in the model below a certain threshold of relevancy for at least one of calculation time and predictive accuracy. 18. The method of claim 13 wherein the building of predictive models relates to health risk factors prediction. | 0.829521 |
40. A method implemented by an apparatus for processing a response to a request for updating a previously supplied electronic document providing programming information about a plurality of television broadcast programs scheduled for broadcast in a program broadcasting system, wherein the previously supplied electronic document has a hierarchical structure based on a prescribed syntax, the hierarchical structure including an upper fragment and a plurality of lower fragments located below the upper fragment in the hierarchical structure to describe, for each of the scheduled television broadcast programs, a program identifier, a title, broadcast information and corresponding program content information, wherein the response to the request provides an update document having a structure based on the prescribed syntax and including the upper fragment and an invalid element which indicates that one of the lower fragments of the previously supplied electronic document is invalid, wherein said invalid fragment is related to one of the scheduled television broadcast programs, the method comprising: identifying said invalid fragment in the previously supplied electronic document by using the invalid element of the update document at said client; and controlling to delete said identified invalid fragment from the previously supplied electronic document at said client. | 40. A method implemented by an apparatus for processing a response to a request for updating a previously supplied electronic document providing programming information about a plurality of television broadcast programs scheduled for broadcast in a program broadcasting system, wherein the previously supplied electronic document has a hierarchical structure based on a prescribed syntax, the hierarchical structure including an upper fragment and a plurality of lower fragments located below the upper fragment in the hierarchical structure to describe, for each of the scheduled television broadcast programs, a program identifier, a title, broadcast information and corresponding program content information, wherein the response to the request provides an update document having a structure based on the prescribed syntax and including the upper fragment and an invalid element which indicates that one of the lower fragments of the previously supplied electronic document is invalid, wherein said invalid fragment is related to one of the scheduled television broadcast programs, the method comprising: identifying said invalid fragment in the previously supplied electronic document by using the invalid element of the update document at said client; and controlling to delete said identified invalid fragment from the previously supplied electronic document at said client. 41. The method of claim 40 , wherein said invalid element is defined in said prescribed syntax. | 0.607832 |
1. A method, implemented on a server having at least one processor, storage, and a communication platform connected to a network, the method comprising: receiving, at the server, a search query issued by a user using a client device, wherein the server includes a general search engine and a plurality of vertical search engines; associating the user with the search query; determining information for the user, wherein the information for the user includes information about a location; searching, by the general search engine, a general subdomain to identify general content based on the search query; selecting a vertical subdomain based on the information for the user; searching, by a vertical search engine of the plurality of vertical search engines, the vertical subdomain to identify specialized content based on the search query, wherein the vertical search engine is controlled by an owner of the general search engine; and providing both the specialized content and the general content as a response to the search query. | 1. A method, implemented on a server having at least one processor, storage, and a communication platform connected to a network, the method comprising: receiving, at the server, a search query issued by a user using a client device, wherein the server includes a general search engine and a plurality of vertical search engines; associating the user with the search query; determining information for the user, wherein the information for the user includes information about a location; searching, by the general search engine, a general subdomain to identify general content based on the search query; selecting a vertical subdomain based on the information for the user; searching, by a vertical search engine of the plurality of vertical search engines, the vertical subdomain to identify specialized content based on the search query, wherein the vertical search engine is controlled by an owner of the general search engine; and providing both the specialized content and the general content as a response to the search query. 4. The method of claim 1 , wherein the information for the user comprises a specification of the vertical subdomain. | 0.668609 |
19. An apparatus comprising: a speech encoder, which processes an input speech signal, resulting in a compressed encoder representation of the input speech signal; a speech recognizer, which processes the input speech signal; and a difference encoder, which determines a compressed recognizer representation of a corresponding dictionary speech element that approximates the input speech signal when the speech recognizer identifies the corresponding dictionary speech element, calculates one or more differences between the compressed encoder representation and the compressed recognizer representation, and compiles compressed speech information that includes representations of the one or more differences; and a transmitter, which transmits the compressed speech information that includes representations of the one or more differences when the speech recognizer identifies the corresponding dictionary speech element and transmits the compressed encoder representation of the input speech signal when the speech recognizer does not identify a dictionary speech element that approximates the input speech signal. | 19. An apparatus comprising: a speech encoder, which processes an input speech signal, resulting in a compressed encoder representation of the input speech signal; a speech recognizer, which processes the input speech signal; and a difference encoder, which determines a compressed recognizer representation of a corresponding dictionary speech element that approximates the input speech signal when the speech recognizer identifies the corresponding dictionary speech element, calculates one or more differences between the compressed encoder representation and the compressed recognizer representation, and compiles compressed speech information that includes representations of the one or more differences; and a transmitter, which transmits the compressed speech information that includes representations of the one or more differences when the speech recognizer identifies the corresponding dictionary speech element and transmits the compressed encoder representation of the input speech signal when the speech recognizer does not identify a dictionary speech element that approximates the input speech signal. 23. The apparatus of claim 19 , wherein: the speech encoder includes an analysis-by-synthesis encoder, which determines an encoder version of speech excitation for the input speech signal; the speech recognizer determines a recognizer version of speech excitation for the corresponding dictionary speech element; and the difference encoder calculates excitation differences between the encoder version of the speech excitation and the recognizer version of the speech excitation. | 0.564537 |
6. A method for automatically registering frequently used phrases according to claim 1, wherein said registering step is carried out each time the total number of phrases generated in said first or second conversion reaches a predetermined value. | 6. A method for automatically registering frequently used phrases according to claim 1, wherein said registering step is carried out each time the total number of phrases generated in said first or second conversion reaches a predetermined value. 7. A method for automatically registering frequently used phrases according to claim 6, wherein said registering step includes a step of selecting a phrase from among the phrases already stored in the phrase table which is not yet registered in the macro table and having the highest frequency of occurrence among the phrases registered in the phrase table as the phrase to be additionally registered in the macro table. | 0.93184 |
1. A non-transitory computer readable medium carrying instructions for a sentiment classifier for sentiment classification of content comprising: an aspect classifier configured to classify content as being related to a particular aspect of a plurality of aspects of information, the aspect classifier incorporating at least a portion of a domain specific sentiment lexicon to assist in classifying the content, wherein the domain specific sentiment lexicon is configured by: (i) domain specific words and/or phrases from an annotated corpus which has been filtered, (ii) domain specific words and/or phrases obtained via a search of the world wide web using a predetermined linguistic pattern and filtering the returned search results, and (iii) domain specific words and/or phrases obtained via a dictionary expansion technique performed on the domain specific words and/or phrases obtained by at least one of (i) or (ii); a polarity classifier configured to classify the content classified by the aspect classifier as having one of a positive sentiment of the particular aspect of information, a negative sentiment of the particular aspect of information or as having no sentiment of the particular aspect of information, the polarity classifier incorporating at least a portion of the domain specific sentiment lexicon to assist in classifying the content; and an aggregator configured to receive and aggregate results of predictions generated by the aspect classifier and results of predictions generated by the polarity classifier. | 1. A non-transitory computer readable medium carrying instructions for a sentiment classifier for sentiment classification of content comprising: an aspect classifier configured to classify content as being related to a particular aspect of a plurality of aspects of information, the aspect classifier incorporating at least a portion of a domain specific sentiment lexicon to assist in classifying the content, wherein the domain specific sentiment lexicon is configured by: (i) domain specific words and/or phrases from an annotated corpus which has been filtered, (ii) domain specific words and/or phrases obtained via a search of the world wide web using a predetermined linguistic pattern and filtering the returned search results, and (iii) domain specific words and/or phrases obtained via a dictionary expansion technique performed on the domain specific words and/or phrases obtained by at least one of (i) or (ii); a polarity classifier configured to classify the content classified by the aspect classifier as having one of a positive sentiment of the particular aspect of information, a negative sentiment of the particular aspect of information or as having no sentiment of the particular aspect of information, the polarity classifier incorporating at least a portion of the domain specific sentiment lexicon to assist in classifying the content; and an aggregator configured to receive and aggregate results of predictions generated by the aspect classifier and results of predictions generated by the polarity classifier. 5. The sentiment classifier of claim 1 wherein the content is text configured in the form of sentences having words and/or phrases. | 0.674696 |
1. A computer implemented method for constructing a strong classifier, comprising a computer processor for performing steps of the method, comprising the steps of: selecting a plurality of weak classifiers; representing an output of each weak classifier by a posterior probability; associating each weak classifier with a confidence matrix; combining the weak classifiers to form a set of combinations of the weak classifiers, in which the combining is an approximate Bayesian combination, and in which an output λ of each weak classifier is a random variable {tilde over (ω)} taking integer values from 1 to K, the number of classes, and a probability distribution over values of a true class label ω is P λ (ω|{tilde over (ω)}), and the approximate Bayesian combination is P a ( ω i | x ) = ∑ k = 1 K w k ∑ j = 1 J P k ( ω i | ω ~ j ) P k ( ω ~ j | x ) ︸ P k ( ω i | x ) , where P k ({tilde over (ω)}|x) is a prediction probability of the weak classifier, and w k is a weight of the classifier; boosting each combination of the weak classifiers to determine a weighted score for each combination of the weak classifiers; and selecting combinations of the weak classifiers having a weighted score greater than a predetermined threshold to form the strong classifier. | 1. A computer implemented method for constructing a strong classifier, comprising a computer processor for performing steps of the method, comprising the steps of: selecting a plurality of weak classifiers; representing an output of each weak classifier by a posterior probability; associating each weak classifier with a confidence matrix; combining the weak classifiers to form a set of combinations of the weak classifiers, in which the combining is an approximate Bayesian combination, and in which an output λ of each weak classifier is a random variable {tilde over (ω)} taking integer values from 1 to K, the number of classes, and a probability distribution over values of a true class label ω is P λ (ω|{tilde over (ω)}), and the approximate Bayesian combination is P a ( ω i | x ) = ∑ k = 1 K w k ∑ j = 1 J P k ( ω i | ω ~ j ) P k ( ω ~ j | x ) ︸ P k ( ω i | x ) , where P k ({tilde over (ω)}|x) is a prediction probability of the weak classifier, and w k is a weight of the classifier; boosting each combination of the weak classifiers to determine a weighted score for each combination of the weak classifiers; and selecting combinations of the weak classifiers having a weighted score greater than a predetermined threshold to form the strong classifier. 4. The method of claim 1 , in which the weight is according to the confidence matrix of the class. | 0.853982 |
5. A multitasking circuit layout diagram silkscreen text handling system for use with a computer platform for providing a silkscreen text handling function to a circuit layout diagram, which comprises: a circuit shape creating module, which provides a user-operated circuit shape creating function for creating a circuit shape with a set of user-defined silkscreen layout attributes by a computer; a silkscreen text defining module, which provides a user-operated silkscreen text defining function for defining a silkscreen text file for the associated silkscreen of each circuit shape created by the circuit shape creating module by said computer; a circuit shape importing module, which provides a user-operated circuit shape importing function for importing each circuit shape created by the circuit shape creating module into the circuit layout diagram by said computer; and a silkscreen text importing module, which provides a user-operated silkscreen text importing function for importing the silkscreen text file defined by the silkscreen text defining module into the circuit layout diagram, and which finds the circuit shape that is associated with the imported silkscreen text file and pasting the imported silkscreen text on the circuit layout diagram in a manner according to the predefined silkscreen layout attributes of the circuit shape by said computer. | 5. A multitasking circuit layout diagram silkscreen text handling system for use with a computer platform for providing a silkscreen text handling function to a circuit layout diagram, which comprises: a circuit shape creating module, which provides a user-operated circuit shape creating function for creating a circuit shape with a set of user-defined silkscreen layout attributes by a computer; a silkscreen text defining module, which provides a user-operated silkscreen text defining function for defining a silkscreen text file for the associated silkscreen of each circuit shape created by the circuit shape creating module by said computer; a circuit shape importing module, which provides a user-operated circuit shape importing function for importing each circuit shape created by the circuit shape creating module into the circuit layout diagram by said computer; and a silkscreen text importing module, which provides a user-operated silkscreen text importing function for importing the silkscreen text file defined by the silkscreen text defining module into the circuit layout diagram, and which finds the circuit shape that is associated with the imported silkscreen text file and pasting the imported silkscreen text on the circuit layout diagram in a manner according to the predefined silkscreen layout attributes of the circuit shape by said computer. 7. The multitasking circuit layout diagram silkscreen text handling system of claim 5 , wherein the circuit layout diagram is created by a CAD (Computer-Aided Design) circuit layout design system. | 0.5 |
31. The article of manufacture of claim 23 , wherein the recorded reference speech utterances of the reference speaker are in a reference language and the colloquial speech utterances of all the respective colloquial speakers are all in a colloquial language, and wherein the colloquial language is lexically related to the reference language. | 31. The article of manufacture of claim 23 , wherein the recorded reference speech utterances of the reference speaker are in a reference language and the colloquial speech utterances of all the respective colloquial speakers are all in a colloquial language, and wherein the colloquial language is lexically related to the reference language. 33. The article of manufacture of claim 31 , wherein training the TTS system using the provided aggregate set of conditioned speaker vectors comprises training the TTS system to synthesize speech in the colloquial language and in a voice of the reference speaker. | 0.942729 |
1. A method for assisting a user with a search, the method comprising: providing one or more concept networks, each concept network including a plurality of units and relationships among the units, wherein the relationships among the units are selected from a group consisting of extensions, associations and alternatives; receiving a baseline query; executing, using a processing device, a baseline search using the baseline query; transmitting, using the processing device, a result of the baseline search to the user; and in response to a user request: modifying, using the processing device, the baseline query to generate a modified query based at least in part on relationship information from at least one of the concept networks, the relationship information pertaining to at least one baseline unit extracted from the baseline query; executing a modified search using the modified query; transmitting, using the processing device, to the user a result of the modified search; and prompting, via the processing device, the user to provide feedback on the result of the modified search, wherein the user feedback is usable to perform a further modification to at least one of the baseline query and the modified query. | 1. A method for assisting a user with a search, the method comprising: providing one or more concept networks, each concept network including a plurality of units and relationships among the units, wherein the relationships among the units are selected from a group consisting of extensions, associations and alternatives; receiving a baseline query; executing, using a processing device, a baseline search using the baseline query; transmitting, using the processing device, a result of the baseline search to the user; and in response to a user request: modifying, using the processing device, the baseline query to generate a modified query based at least in part on relationship information from at least one of the concept networks, the relationship information pertaining to at least one baseline unit extracted from the baseline query; executing a modified search using the modified query; transmitting, using the processing device, to the user a result of the modified search; and prompting, via the processing device, the user to provide feedback on the result of the modified search, wherein the user feedback is usable to perform a further modification to at least one of the baseline query and the modified query. 4. The method of claim 1 , wherein modifying the baseline query comprises: identifying a superunit of which the baseline unit is a member; identifying a second unit that is also a member of the superunit; and replacing the baseline unit with the second unit. | 0.553448 |
1. A program storage device readable by machine, tangibly embodying a program of instructions executable by the machine to perform a method for processing natural language text, comprising: receiving as input a natural language text sentence comprising a sequence of white-space delimited words including inflicted words that are formed of morphemes including a stem and one or more affixes; automatically parsing the inflicted words into their constituent morphemes; grouping the parsed morphemes of the inflicted words with the same syntactic role into constituents; identifying a plurality of verb-constituent pairs in the text sentence; predicting potential arguments for each constituent of the grouped morphemes, wherein the constituents are associated with a verb by the verb-constituent pairs and each prediction is weighted for a respective argument and grouped morpheme being considered; assigning a probability to each of the potential arguments, wherein the probability indicates a probability that the potential argument applies to a respective constituent; and outputting a plurality of semantic roles for a given verb/constituent pair as the potential arguments with corresponding probabilities, wherein predicting potential arguments for each constituent of the grouped morphemes and assigning the probability to each of the potential arguments includes: performing lexical/surface analysis; performing morphological analysis; performing semantic analysis; performing syntactic analysis; and integrating results of the lexical/surface analysis, the morphological analysis, the semantic analysis, and the syntactic analysis into a statistical model based on Maximum Entropy to produce a probability model for predicting potential arguments for each constituent of the grouped morphemes and assigning the probability to each of the potential arguments. | 1. A program storage device readable by machine, tangibly embodying a program of instructions executable by the machine to perform a method for processing natural language text, comprising: receiving as input a natural language text sentence comprising a sequence of white-space delimited words including inflicted words that are formed of morphemes including a stem and one or more affixes; automatically parsing the inflicted words into their constituent morphemes; grouping the parsed morphemes of the inflicted words with the same syntactic role into constituents; identifying a plurality of verb-constituent pairs in the text sentence; predicting potential arguments for each constituent of the grouped morphemes, wherein the constituents are associated with a verb by the verb-constituent pairs and each prediction is weighted for a respective argument and grouped morpheme being considered; assigning a probability to each of the potential arguments, wherein the probability indicates a probability that the potential argument applies to a respective constituent; and outputting a plurality of semantic roles for a given verb/constituent pair as the potential arguments with corresponding probabilities, wherein predicting potential arguments for each constituent of the grouped morphemes and assigning the probability to each of the potential arguments includes: performing lexical/surface analysis; performing morphological analysis; performing semantic analysis; performing syntactic analysis; and integrating results of the lexical/surface analysis, the morphological analysis, the semantic analysis, and the syntactic analysis into a statistical model based on Maximum Entropy to produce a probability model for predicting potential arguments for each constituent of the grouped morphemes and assigning the probability to each of the potential arguments. 6. The program storage device of claim 1 , wherein the input text sentence is Arabic text. | 0.585096 |
8. The method of claim 4 , wherein locating pages comprises: determining matching document pages from a database; modifying a feature extraction score of each matching page; sorting the matching document pages from highest score to lowest score; calculating a percentage of the image patch found in the matching page; and outputting the matching document pages sorted by percentage. | 8. The method of claim 4 , wherein locating pages comprises: determining matching document pages from a database; modifying a feature extraction score of each matching page; sorting the matching document pages from highest score to lowest score; calculating a percentage of the image patch found in the matching page; and outputting the matching document pages sorted by percentage. 11. The method of claim 8 , further comprising estimating the column width from which the image patch was extracted. | 0.772254 |
1. A method to query multilingual data, the method comprising: receiving a request for a query using a computer, the query comprising a base word in a source language used for a search of a database in a target language; applying, using the computer, the request to factors, the factors comprising: an interface factor to indicate a speed of a connection between a set of components, the components comprising: multilingual service components; and core enterprise services components; a component availability factor to indicate the availability of the components; a language identification factor to indicate the source language, a required speed factor indicating an amount of time required by a user for the query to return a result, a required quality factor, and a user language fluency factor, selecting a subset of the components based on the factors using the computer; and performing the query using the computer based on the subset of the components, wherein performing the query comprises determining a word ontology of the base word in the source language, and wherein determining the word ontology of the base word comprises determining synonyms, homonyms, hypernyms and hyponyms of the base word. | 1. A method to query multilingual data, the method comprising: receiving a request for a query using a computer, the query comprising a base word in a source language used for a search of a database in a target language; applying, using the computer, the request to factors, the factors comprising: an interface factor to indicate a speed of a connection between a set of components, the components comprising: multilingual service components; and core enterprise services components; a component availability factor to indicate the availability of the components; a language identification factor to indicate the source language, a required speed factor indicating an amount of time required by a user for the query to return a result, a required quality factor, and a user language fluency factor, selecting a subset of the components based on the factors using the computer; and performing the query using the computer based on the subset of the components, wherein performing the query comprises determining a word ontology of the base word in the source language, and wherein determining the word ontology of the base word comprises determining synonyms, homonyms, hypernyms and hyponyms of the base word. 4. The method of claim 1 wherein selecting the subset of the components comprises selecting at least one of: an enterprise service management (ESM) component, a discovery services component, a messaging services component, a collaboration services component, a mediation services component, a storage services component, a security services component, an application services component, and a user assistant services component. | 0.541695 |
19. At least one article of manufacture for use in processing acoustic data to reduce one or more truncation errors associated with operation of a speech recognition system, comprising at least one machine readable medium having encoded thereon one or more programs which when executed implement acts of: continuously recording acoustic data in a circular buffer; when an indication that the speech recognition system is being addressed is detected, starting recording of acoustic data in a second buffer that is separate from the circular buffer; obtaining combined acoustic data at least in part by prepending first acoustic data recorded in the circular buffer to a beginning of second acoustic data recorded in the second buffer; and analyzing the combined acoustic data, which comprises data from the circular buffer and data from the second buffer, to identify a likely speech endpoint in the combined acoustic data, wherein the act of analyzing comprises using a boundary between the first and second acoustic data as a reference location wherein the act of analyzing the combined acoustic data comprises an act of identifying, among one or more regions in the combined acoustic data likely to correspond to silence, a region of silence closest to the reference location. | 19. At least one article of manufacture for use in processing acoustic data to reduce one or more truncation errors associated with operation of a speech recognition system, comprising at least one machine readable medium having encoded thereon one or more programs which when executed implement acts of: continuously recording acoustic data in a circular buffer; when an indication that the speech recognition system is being addressed is detected, starting recording of acoustic data in a second buffer that is separate from the circular buffer; obtaining combined acoustic data at least in part by prepending first acoustic data recorded in the circular buffer to a beginning of second acoustic data recorded in the second buffer; and analyzing the combined acoustic data, which comprises data from the circular buffer and data from the second buffer, to identify a likely speech endpoint in the combined acoustic data, wherein the act of analyzing comprises using a boundary between the first and second acoustic data as a reference location wherein the act of analyzing the combined acoustic data comprises an act of identifying, among one or more regions in the combined acoustic data likely to correspond to silence, a region of silence closest to the reference location. 21. The at least one article of manufacture of claim 19 , wherein the one or more programs further implement: stopping recording of acoustic data in the circular buffer when recording of acoustic data is started in the second buffer; and stopping recording of acoustic data in the second buffer and restarting recording of acoustic data in the circular buffer, when an indication that the speech recognition system is no longer being addressed is detected and a feature indicating silence is detected in the acoustic data recorded in the second buffer. | 0.51398 |
18. The computer readable storage medium of claim 16 , including instructions, which when executed by the electronic device with the display, cause the device to, in response to detecting the first input, enter a document-editing mode. | 18. The computer readable storage medium of claim 16 , including instructions, which when executed by the electronic device with the display, cause the device to, in response to detecting the first input, enter a document-editing mode. 20. The computer readable storage medium of claim 18 , wherein the document is one of a plurality of documents, and the computer readable storage medium includes instructions, which when executed by the electronic device with the display, cause the device to: prior to entering the document-editing mode, display a navigation affordance for navigating between different documents in a set of documents; and after entering the document-editing mode, replace the navigation affordance with an exit affordance for exiting the document-editing mode. | 0.778846 |
11. A non-transitory computer-readable storage medium having stored thereon executable instructions that, when executed by one or more processors of a computer system, cause the computer system to at least: obtain a first representation of a bit value associated with a binary representation of a value that is based at least in part on a first symbol from a first set of symbols included in a symbol table, the first symbol including two or more morphemes including a first morpheme from a first set of morphemes and a second morpheme from a second set of morphemes; determine a set of second symbols corresponding to the first symbol; and provide a second representation of the bit value including the set of second symbols. | 11. A non-transitory computer-readable storage medium having stored thereon executable instructions that, when executed by one or more processors of a computer system, cause the computer system to at least: obtain a first representation of a bit value associated with a binary representation of a value that is based at least in part on a first symbol from a first set of symbols included in a symbol table, the first symbol including two or more morphemes including a first morpheme from a first set of morphemes and a second morpheme from a second set of morphemes; determine a set of second symbols corresponding to the first symbol; and provide a second representation of the bit value including the set of second symbols. 18. The non-transitory computer-readable storage medium of claim 11 , wherein the instructions further comprise instructions that, when executed by the one or more processors, cause the computer system to: obtain information specifying a dictionary used to generate the first set of symbols; and determine the set of second symbols corresponding to the first symbol based at least in part on the dictionary used to generate the first set of symbols. | 0.572391 |
39. A non-transitory computer-readable storage medium comprising computer-executable instructions for: receiving an audio input comprising user speech; converting the user speech of the audio input into a textual representation of the user speech; determining a primary user intent for the textual representation; identifying a first type of concept referred to by the primary user intent; identifying a first substring from the textual representation corresponding to the first type of concept; determining a secondary user intent for the first substring; and performing a task flow comprising one or more tasks based at least in part on the primary user intent for the textual representation and the secondary user intent for the first substring. | 39. A non-transitory computer-readable storage medium comprising computer-executable instructions for: receiving an audio input comprising user speech; converting the user speech of the audio input into a textual representation of the user speech; determining a primary user intent for the textual representation; identifying a first type of concept referred to by the primary user intent; identifying a first substring from the textual representation corresponding to the first type of concept; determining a secondary user intent for the first substring; and performing a task flow comprising one or more tasks based at least in part on the primary user intent for the textual representation and the secondary user intent for the first substring. 45. The computer-readable storage medium of claim 39 , further comprising instructions for: identifying a second type of concept referred to by the primary user intent; identifying a second substring from the textual representation corresponding to the second type of concept; and determining a secondary user intent for the second substring, wherein performing the task flow is further based on the secondary user intent for the second substring. | 0.606796 |
8. A method for providing web-based personalization, that allows for personalization of the functioning of a web-based application, comprising the steps of: configuring a server to allow a user to access a web application running on the server, and to log in and initiate a session within the web application; accessing a plurality of stored rules that are independent of a particular user and that define business functioning of the web application, wherein each rule defines actions to be taken by the web application in response to a particular event; listening at an event service located at the server, for notification of events from the web application during a current session or after the user has logged in, including events performed interactively by the user, and associating those events with a user profile, to create a snapshot of the user; accessing a plurality of stored scenarios, each of which describe a possible series of events that characterize a users' session interactions and can cause one or more of the rules to be triggered; matching the snapshot of the user and the events to determine a particular scenario from the plurality of scenarios for use with the current session, and changing, for the current session and current user only, the business functioning of the web-based application, including the actions to be taken by the web application, according to the particular scenario. | 8. A method for providing web-based personalization, that allows for personalization of the functioning of a web-based application, comprising the steps of: configuring a server to allow a user to access a web application running on the server, and to log in and initiate a session within the web application; accessing a plurality of stored rules that are independent of a particular user and that define business functioning of the web application, wherein each rule defines actions to be taken by the web application in response to a particular event; listening at an event service located at the server, for notification of events from the web application during a current session or after the user has logged in, including events performed interactively by the user, and associating those events with a user profile, to create a snapshot of the user; accessing a plurality of stored scenarios, each of which describe a possible series of events that characterize a users' session interactions and can cause one or more of the rules to be triggered; matching the snapshot of the user and the events to determine a particular scenario from the plurality of scenarios for use with the current session, and changing, for the current session and current user only, the business functioning of the web-based application, including the actions to be taken by the web application, according to the particular scenario. 9. The method of claim 8 , further comprising the step of: storing the rules as XML documents within a rules repository. | 0.685273 |
1. A non-transitory computer-readable storage medium, for allowing an end-user to create and share annotated comments on an image published on a digital content platform, comprising: instruction, executable by at least one processing device, that when executed cause the processing device to (1) provide an annotation interface to allow a first end-user to create an annotation on an image published on a digital content platform, (2) provide a comment entry interface to receive a comment from the first end-user, (3) receive, link, and store the annotation and the comment in a database, (4) identify when a second end-user accesses the comment on the digital content platform, (5) display the annotation to the second end-user, wherein the display of the annotation to the second end-user is triggered when the second end-user accesses the comment, (6) match the image, annotation, or comment to an advertisement, and (7) display the advertisement to the second end-user proximate to the annotation, wherein the advertisement is contextually relevant to the image, annotation, or comment. | 1. A non-transitory computer-readable storage medium, for allowing an end-user to create and share annotated comments on an image published on a digital content platform, comprising: instruction, executable by at least one processing device, that when executed cause the processing device to (1) provide an annotation interface to allow a first end-user to create an annotation on an image published on a digital content platform, (2) provide a comment entry interface to receive a comment from the first end-user, (3) receive, link, and store the annotation and the comment in a database, (4) identify when a second end-user accesses the comment on the digital content platform, (5) display the annotation to the second end-user, wherein the display of the annotation to the second end-user is triggered when the second end-user accesses the comment, (6) match the image, annotation, or comment to an advertisement, and (7) display the advertisement to the second end-user proximate to the annotation, wherein the advertisement is contextually relevant to the image, annotation, or comment. 9. The non-transitory computer-readable storage medium of claim 1 , wherein the annotation includes a link to a third-party website. | 0.583128 |
25. A method of operation in a content delivery platform including at least one processor-based component having at least one nontransitory processor-readable medium communicatively coupled to the processor and which stores at least one of processor-executable instructions or data, the method comprising: for each of a plurality of media content consumers: providing access, via at least one processor-based component, to one or more narrative segments of a narrative presentation while limiting access by the respective media content consumer to at least one of a number of controlled access narrative segments of the narrative presentation or a piece of bonus media content until an access condition is met; and determining, via at least one processor-based component, whether the access condition is met; and providing access, via the at least one processor-based component, by the respective media content consumer to the at least one of the controlled narrative segment of the narrative presentation or the piece of bonus media content in response to the access condition being met. | 25. A method of operation in a content delivery platform including at least one processor-based component having at least one nontransitory processor-readable medium communicatively coupled to the processor and which stores at least one of processor-executable instructions or data, the method comprising: for each of a plurality of media content consumers: providing access, via at least one processor-based component, to one or more narrative segments of a narrative presentation while limiting access by the respective media content consumer to at least one of a number of controlled access narrative segments of the narrative presentation or a piece of bonus media content until an access condition is met; and determining, via at least one processor-based component, whether the access condition is met; and providing access, via the at least one processor-based component, by the respective media content consumer to the at least one of the controlled narrative segment of the narrative presentation or the piece of bonus media content in response to the access condition being met. 35. The method of claim 25 wherein determining whether the access condition is met includes determining a level of completion of a path taken by the respective media content consumer which includes narrative segments shared with the respective media content consumer by other media content consumers. | 0.677594 |
1. A hardware computer-readable storage media having instructions stored thereon that when executed by a computing device cause the computing device to perform acts, the acts comprising: accessing a plurality of face images associated with a photo gallery comprising a plurality of photos, wherein a first photo from the plurality of photos comprises a first face image and a second face image from the plurality of face images; performing context-driven face recognition to identify individual face images at specified probabilities, the specified probabilities including a first specified probability that the first face image in the first photo is a specific person and a second specified probability that the second face image in the first photo is the specific person; receiving, from a user, an indication that the first face image in the first photo is the specific person; and responsive to receiving the indication from the user, decreasing the second specified probability that the second face image in the first photo is the specific person. | 1. A hardware computer-readable storage media having instructions stored thereon that when executed by a computing device cause the computing device to perform acts, the acts comprising: accessing a plurality of face images associated with a photo gallery comprising a plurality of photos, wherein a first photo from the plurality of photos comprises a first face image and a second face image from the plurality of face images; performing context-driven face recognition to identify individual face images at specified probabilities, the specified probabilities including a first specified probability that the first face image in the first photo is a specific person and a second specified probability that the second face image in the first photo is the specific person; receiving, from a user, an indication that the first face image in the first photo is the specific person; and responsive to receiving the indication from the user, decreasing the second specified probability that the second face image in the first photo is the specific person. 5. The hardware computer-readable storage media of claim 1 , the acts further comprising: responsive to receiving the indication from the user, changing a third specified probability that a third face image in a second photo is the specific person. | 0.642518 |
7. A method comprising: determining text subgroups within an electronic text; determining a relevance score for each word of one or more words within the determined text subgroups, the relevance score based on one of a frequency of occurrence of the word within one of the determined text subgroups and a type of the word within one of the determined text subgroups; selecting, by an electronic device, a text subgroup from the determined text subgroups that corresponds to a current user position within the electronic text; selecting, by the electronic device, a text seed within the selected text subgroup based on the relevance scores of the words within the selected text subgroup; determining a first similarity relationship between the selected text seed and one or more of the determined text subgroups adjacent to the selected text subgroup that do not include the selected text seed; creating a text cluster by associating the text seed with the one or more adjacent determined text subgroups based on the first similarity relationship; and for each of the determined text subgroups outside of the text cluster: determining an activity indication of time when a user has read the determined text subgroup; determining a second similarity relationship between content of the determined text subgroup and the text cluster; and linking the determined text subgroup to the text cluster based on the second similarity relationship and on the determined time the user read the text subgroup. | 7. A method comprising: determining text subgroups within an electronic text; determining a relevance score for each word of one or more words within the determined text subgroups, the relevance score based on one of a frequency of occurrence of the word within one of the determined text subgroups and a type of the word within one of the determined text subgroups; selecting, by an electronic device, a text subgroup from the determined text subgroups that corresponds to a current user position within the electronic text; selecting, by the electronic device, a text seed within the selected text subgroup based on the relevance scores of the words within the selected text subgroup; determining a first similarity relationship between the selected text seed and one or more of the determined text subgroups adjacent to the selected text subgroup that do not include the selected text seed; creating a text cluster by associating the text seed with the one or more adjacent determined text subgroups based on the first similarity relationship; and for each of the determined text subgroups outside of the text cluster: determining an activity indication of time when a user has read the determined text subgroup; determining a second similarity relationship between content of the determined text subgroup and the text cluster; and linking the determined text subgroup to the text cluster based on the second similarity relationship and on the determined time the user read the text subgroup. 9. The method of claim 7 , wherein determining the first similarity relationship comprises determining the first similarity relationship between one of the determined text subgroups and one or more adjacent determined text subgroups based on one of chapters, paragraphs, and sentences of the electronic text. | 0.635129 |
51. A method of authoring an information processing system which enables a non-computer literate expert having knowledge (the developer) to develop a computer assisted expert system for a user, said method comprising: (a) generating a plurality of knowledge records; (b) displaying a blank record with a Graphical User Interface to enable the developers to interactively enter knowledge as segments of alphanumeric text and user options in each of said plurality of knowledge records; (c) linking a plurality of knowledge records to at least two other records to form a plurality of disjoin logic nodes such that the arrangement of knowledge segments and said user options form a decision network of disjoin logic nodes representative of the developer's knowledge; (d) sequentially displaying said interconnected knowledge records with a Graphical User Interface to form a plurality of simplified screen displays to enable the user to selectively choose an option at each disjoin logic node. | 51. A method of authoring an information processing system which enables a non-computer literate expert having knowledge (the developer) to develop a computer assisted expert system for a user, said method comprising: (a) generating a plurality of knowledge records; (b) displaying a blank record with a Graphical User Interface to enable the developers to interactively enter knowledge as segments of alphanumeric text and user options in each of said plurality of knowledge records; (c) linking a plurality of knowledge records to at least two other records to form a plurality of disjoin logic nodes such that the arrangement of knowledge segments and said user options form a decision network of disjoin logic nodes representative of the developer's knowledge; (d) sequentially displaying said interconnected knowledge records with a Graphical User Interface to form a plurality of simplified screen displays to enable the user to selectively choose an option at each disjoin logic node. 65. A method of authoring an information processing system as claimed in claim 51, which further includes the step of dividing each simplified screen display into at least two areas, with a first area displaying alphanumeric text statements or questions and a second area having a plurality of decision boxes to be selected by said user. | 0.668682 |
1. A computer-readable storage medium having stored thereon a data structure for use with a host user interface associated with a host application, said data structure defining a representation of a secondary user interface of a secondary application within a sidebar area of the host user interface, said data structure comprising: a plurality of part object parameters, each of said part object parameters representing a property of the secondary user interface, said property being selected from the group consisting of: Activewindow; Docked; IslnOverflow; ProcessGroup; Settings; View; Id; WidgetMenuButtonOffsetTop; WidgetMenuButtonOffsetRiqht; Hotkey; LogEvents; Shown; and Visibility; a part settings object parameter representing a configuration of the secondary user interface; a display object parameter representing at least one of an event and a property associated with the secondary user interface; a display screen object parameter representing at least one of a property and method of the secondary user interface; and an element object parameter representing at least one of an event, method or property of the secondary user interface. | 1. A computer-readable storage medium having stored thereon a data structure for use with a host user interface associated with a host application, said data structure defining a representation of a secondary user interface of a secondary application within a sidebar area of the host user interface, said data structure comprising: a plurality of part object parameters, each of said part object parameters representing a property of the secondary user interface, said property being selected from the group consisting of: Activewindow; Docked; IslnOverflow; ProcessGroup; Settings; View; Id; WidgetMenuButtonOffsetTop; WidgetMenuButtonOffsetRiqht; Hotkey; LogEvents; Shown; and Visibility; a part settings object parameter representing a configuration of the secondary user interface; a display object parameter representing at least one of an event and a property associated with the secondary user interface; a display screen object parameter representing at least one of a property and method of the secondary user interface; and an element object parameter representing at least one of an event, method or property of the secondary user interface. 7. The computer-readable storage medium of claim 1 , wherein the element object parameter represents an event of the secondary user interface and is selected from the group consisting of Drag Enter, Drag Leave, Drop, GotFocus, KeyDown, keyup, LostFocus, MouseEnter, MouseLeave, MouseLeRButtonDown, MouseLeftButtonUp, MouseMove, MouseRightButtonDown, MouseRightButtonUp, and Mousewheel. | 0.77867 |
1. A method comprising: identifying search session logs of a user; segmenting the search session logs into search sessions based at least on a predetermined session time interval; analyzing each of the search sessions to determine a first keyword set and a second keyword set; combining the first keyword set and the second keyword set to form a pair of keyword sets, wherein the pair is represented as at least one of any combination of the first keyword set and the second keyword set; determining a minimum frequency as a smaller of a frequency at which the first keyword set occurs and a frequency at which the second keyword set occurs; comparing a value proportional to the minimum frequency with a frequency at which the pair of keyword sets occur; calculating semantic relevance between the first and the second keyword sets based at least in part on the comparing, wherein the calculating comprises: computing a similarity value between the first and second keyword sets based in part on a mutual information analysis or a cosine similarity analysis; and comparing the similarity value with a similarity threshold, wherein the similarity threshold is determined by: generating a training set which includes a predetermined number of queries obtained from one or more training search sessions; identifying a predetermined number of suggested queries based on an associated relevance of the suggested queries to each query in the training set; categorizing the suggested queries into one or more groups based on the associated relevance; and ascertaining the similarity threshold based on the associated relevance corresponding to at least one of the one or more groups; and displaying one or more semantically relevant keyword sets based on the calculation. | 1. A method comprising: identifying search session logs of a user; segmenting the search session logs into search sessions based at least on a predetermined session time interval; analyzing each of the search sessions to determine a first keyword set and a second keyword set; combining the first keyword set and the second keyword set to form a pair of keyword sets, wherein the pair is represented as at least one of any combination of the first keyword set and the second keyword set; determining a minimum frequency as a smaller of a frequency at which the first keyword set occurs and a frequency at which the second keyword set occurs; comparing a value proportional to the minimum frequency with a frequency at which the pair of keyword sets occur; calculating semantic relevance between the first and the second keyword sets based at least in part on the comparing, wherein the calculating comprises: computing a similarity value between the first and second keyword sets based in part on a mutual information analysis or a cosine similarity analysis; and comparing the similarity value with a similarity threshold, wherein the similarity threshold is determined by: generating a training set which includes a predetermined number of queries obtained from one or more training search sessions; identifying a predetermined number of suggested queries based on an associated relevance of the suggested queries to each query in the training set; categorizing the suggested queries into one or more groups based on the associated relevance; and ascertaining the similarity threshold based on the associated relevance corresponding to at least one of the one or more groups; and displaying one or more semantically relevant keyword sets based on the calculation. 4. The method of claim 1 , wherein the semantic relevance is determined by a relationship:
f uv >√f min ( f u ,f v ) where f u is the frequency of the first keyword set, f v is the frequency of the second keyword set, f uv is the frequency of the pair, and f min is the minimum frequency. | 0.614634 |
1. A method comprising: receiving data indicative of a location; receiving a search term; identifying a first geographical coordinate and a second geographical coordinate corresponding to the location; combining, using a processor, the first geographical coordinate and the second geographical coordinate into a single dimensional location value; and combining, using the processor, the single dimensional location value and the search term into a vector. | 1. A method comprising: receiving data indicative of a location; receiving a search term; identifying a first geographical coordinate and a second geographical coordinate corresponding to the location; combining, using a processor, the first geographical coordinate and the second geographical coordinate into a single dimensional location value; and combining, using the processor, the single dimensional location value and the search term into a vector. 8. The method of claim 1 , further comprising: converting the first geographical coordinate to a numbering system; converting the second geographical coordinate to the numbering system; or converting the search term to the number system. | 0.687043 |
1. A method of operating a multimodal application, the method comprising: selecting, using a processor, a demeanor for presentation of content of a content provider via the multimodal application, wherein selecting the demeanor comprises considering, by the processor, at least one characteristic of a user of the multimodal application to whom the content is to be provided, the user differing from the content provider, wherein the at least one characteristic of the user comprises whether the user is a repeat user of the multimodal application; and presenting the content to the user using the demeanor; wherein selecting the demeanor comprises selecting a visual demeanor and/or selecting a vocal demeanor; wherein selecting the visual demeanor comprises selecting from the group consisting of background colors, text colors, text fonts, and selection and placement of graphic elements; and wherein selecting the vocal demeanor comprises selecting from the group consisting of speech rate, voice family, pitch, pith range, stress and richness. | 1. A method of operating a multimodal application, the method comprising: selecting, using a processor, a demeanor for presentation of content of a content provider via the multimodal application, wherein selecting the demeanor comprises considering, by the processor, at least one characteristic of a user of the multimodal application to whom the content is to be provided, the user differing from the content provider, wherein the at least one characteristic of the user comprises whether the user is a repeat user of the multimodal application; and presenting the content to the user using the demeanor; wherein selecting the demeanor comprises selecting a visual demeanor and/or selecting a vocal demeanor; wherein selecting the visual demeanor comprises selecting from the group consisting of background colors, text colors, text fonts, and selection and placement of graphic elements; and wherein selecting the vocal demeanor comprises selecting from the group consisting of speech rate, voice family, pitch, pith range, stress and richness. 6. The method of claim 1 , further comprising directly determining the user characteristic. | 0.849673 |
15. The method of claim 1 , further comprising: producing a plurality of instances of the stimulus information; and adapting one or more instances of the plurality of instances based on the plurality of received linguistic descriptions. | 15. The method of claim 1 , further comprising: producing a plurality of instances of the stimulus information; and adapting one or more instances of the plurality of instances based on the plurality of received linguistic descriptions. 16. The method of claim 15 , wherein said performing comprises narrating an event that is detected by said detecting. | 0.913103 |
12. A computer-implemented method for controlling a program by natural language commands, the method comprising: providing a list of natural language commands, each natural language command being associated with one or more commands of the program; generating a graphic user interface to receive inputs from a user, the graphic user interface comprising a filter field for entering characters and a list field for displaying natural language commands; receiving a plurality of n inputs from the user, entered in succession, wherein each of the number of n inputs corresponds to a character entered in the filter field; creating a subset of natural language commands comprising only those entries from the list of natural language commands having n or more words, wherein the respective first character of the first n words match the n inputs from the user; displaying the subset of natural language commands in the list field; enabling the user to select one of the natural language commands from the subset of natural language commands displayed in the list field; and causing the program to execute a command in response to the user's selection of a natural language command. | 12. A computer-implemented method for controlling a program by natural language commands, the method comprising: providing a list of natural language commands, each natural language command being associated with one or more commands of the program; generating a graphic user interface to receive inputs from a user, the graphic user interface comprising a filter field for entering characters and a list field for displaying natural language commands; receiving a plurality of n inputs from the user, entered in succession, wherein each of the number of n inputs corresponds to a character entered in the filter field; creating a subset of natural language commands comprising only those entries from the list of natural language commands having n or more words, wherein the respective first character of the first n words match the n inputs from the user; displaying the subset of natural language commands in the list field; enabling the user to select one of the natural language commands from the subset of natural language commands displayed in the list field; and causing the program to execute a command in response to the user's selection of a natural language command. 28. The method as in claim 12 , wherein the step of executing an entry from the subset of natural language commands is performed automatically when the subset of natural language commands consists of one entry. | 0.731312 |
1. A method for building a language model configuration comprising the steps of: categorizing a natural language understanding (NLU) application to produce an application categorization having a plurality of categories; classifying a corpus of example expressions to produce a classified corpus by identifying at least one of the categories for each example expression of the example expressions; and operating at least one computer configured with a plurality of instructions that, when executed, cause the at least one computer to train at least one statistical language model using said classified corpus by: building from the classified corpus a first language model configuration comprising a first statistical language model; evaluating an interpretation accuracy of the first language model configuration using test data; determining whether the evaluated interpretation accuracy of the first language model configuration is less than a desired accuracy; when it is determined that the evaluated interpretation accuracy of the first language model configuration is at least the desired accuracy, then adopting the first language model configuration; and when it is determined that the evaluated interpretation accuracy of the first language model configuration is less than the desired accuracy, then: sub-dividing the application categorization into a plurality of sub-categories; and building a second language model configuration comprising a plurality of statistical language models corresponding to the plurality of sub-categories. | 1. A method for building a language model configuration comprising the steps of: categorizing a natural language understanding (NLU) application to produce an application categorization having a plurality of categories; classifying a corpus of example expressions to produce a classified corpus by identifying at least one of the categories for each example expression of the example expressions; and operating at least one computer configured with a plurality of instructions that, when executed, cause the at least one computer to train at least one statistical language model using said classified corpus by: building from the classified corpus a first language model configuration comprising a first statistical language model; evaluating an interpretation accuracy of the first language model configuration using test data; determining whether the evaluated interpretation accuracy of the first language model configuration is less than a desired accuracy; when it is determined that the evaluated interpretation accuracy of the first language model configuration is at least the desired accuracy, then adopting the first language model configuration; and when it is determined that the evaluated interpretation accuracy of the first language model configuration is less than the desired accuracy, then: sub-dividing the application categorization into a plurality of sub-categories; and building a second language model configuration comprising a plurality of statistical language models corresponding to the plurality of sub-categories. 8. The method of claim 1 , wherein: said classifying further comprises associating an example expression with multiple targets corresponding to one or more features; and the method further comprises providing to a user of said natural language understanding application who has entered a language input request multiple pieces of information from said language model representation. | 0.676248 |
1. A method in a computing device for exchanging context attributes through an application programming interface of a facility, the method comprising: with at least one processor: receiving an enumeration request through the application programming interface for an enumeration of context attribute types; in response to receiving the enumeration request, providing to a requesting attribute consumer a list of context attribute types available from the facility, each of the context attributes being identified by a respective name; receiving an invocation request to provide an attribute value, the invocation request being generated by the requesting attribute consumer, the invocation request identifying the type of the context attribute whose value is to be provided, the context attribute type being in the list and being identified in the invocation request by the respective name in the list; and in response to receiving the invocation request, providing a value for the identified attribute to the requesting attribute consumer. | 1. A method in a computing device for exchanging context attributes through an application programming interface of a facility, the method comprising: with at least one processor: receiving an enumeration request through the application programming interface for an enumeration of context attribute types; in response to receiving the enumeration request, providing to a requesting attribute consumer a list of context attribute types available from the facility, each of the context attributes being identified by a respective name; receiving an invocation request to provide an attribute value, the invocation request being generated by the requesting attribute consumer, the invocation request identifying the type of the context attribute whose value is to be provided, the context attribute type being in the list and being identified in the invocation request by the respective name in the list; and in response to receiving the invocation request, providing a value for the identified attribute to the requesting attribute consumer. 2. The method of claim 1 wherein the invocation request is a function call or a procedure or an invocation message. | 0.616883 |
14. A frequency sensing circuit for sensing the presence of a frequency component F.sub.O in an applied analog signal comprising: means for limiting the applied analog signal to produce an amplitude limited signal; means for sampling the amplitude limited signal; means coupled to said means for sampling, for encoding each sample as a digital signal at an output thereof; an adder having a first input coupled to the output of said means for encoding and having a second input and an output; delay means having an input coupled to the output of said adder for delaying signals applied thereto by an amount that is an integral multiple of one-half the time period of the frequency to be sensed said delayed signals being provided at an output; a multiplier having an input coupled to the output of said delay means and having an output coupled to said second input of said adder; means for clocking said multiplier at a rate of two or more times the desired frequency to be sensed; and means coupled to said frequency sensing circuit for deriving an output signal therefrom having a magnitude indicative of the presence of the frequency to be sensed in said input signal. | 14. A frequency sensing circuit for sensing the presence of a frequency component F.sub.O in an applied analog signal comprising: means for limiting the applied analog signal to produce an amplitude limited signal; means for sampling the amplitude limited signal; means coupled to said means for sampling, for encoding each sample as a digital signal at an output thereof; an adder having a first input coupled to the output of said means for encoding and having a second input and an output; delay means having an input coupled to the output of said adder for delaying signals applied thereto by an amount that is an integral multiple of one-half the time period of the frequency to be sensed said delayed signals being provided at an output; a multiplier having an input coupled to the output of said delay means and having an output coupled to said second input of said adder; means for clocking said multiplier at a rate of two or more times the desired frequency to be sensed; and means coupled to said frequency sensing circuit for deriving an output signal therefrom having a magnitude indicative of the presence of the frequency to be sensed in said input signal. 20. A frequency sensing circuit according to claim 14 wherein the means for clocking comprises means for clocking said multiplier at a rate of N times the desired frequency to be sensed where N is any integer greater than 1. | 0.5 |
8. The computer-readable storage medium of claim 7 , wherein the selected data object is an instance value of a field specified in an entity definition associated with the entity. | 8. The computer-readable storage medium of claim 7 , wherein the selected data object is an instance value of a field specified in an entity definition associated with the entity. 11. The computer-readable storage medium of claim 8 , wherein the interface further allows the user to specify whether a reference to the selected data object should be stored with the annotation. | 0.911718 |
10. A data processing apparatus according to claim 1 , wherein the definition file stores the information for identifying the component parts of the second data file, and wherein the data is the data of the component parts of the second data file. | 10. A data processing apparatus according to claim 1 , wherein the definition file stores the information for identifying the component parts of the second data file, and wherein the data is the data of the component parts of the second data file. 13. A data processing apparatus according to claim 10 , further comprising: means for allowing the user to input an instruction to edit the data thus integrated and presented by said presenting means; and means for modifying the second data file that stores the data, according to the editing instruction. | 0.895007 |
1. A computer implemented method comprising: receiving a set of actions indicating interaction with web content, the set of actions including scored and unscored actions where a scored action is associated with a known score of at least one property of a user associated with the action; inferring initial scores for the web content based on the known scores of the scored actions; estimating initial scores for the unscored actions; inferring revised scores for the web content and inferring initial scores for the web content only associated with the unscored actions based on the known scores of the scored actions and the initial scores of the unscored actions; estimating, by one or more processors, revised scores for the unscored actions based on the revised scores for the web content associated with the scored actions and the initial scores for the web content only associated with the unscored actions; inferring, by the one or more processors, revised scores for at least a portion of the web content based on the known scores of the scored actions and the revised scores of the unscored actions; and performing a plurality of iterations of the estimating and inferring steps above. | 1. A computer implemented method comprising: receiving a set of actions indicating interaction with web content, the set of actions including scored and unscored actions where a scored action is associated with a known score of at least one property of a user associated with the action; inferring initial scores for the web content based on the known scores of the scored actions; estimating initial scores for the unscored actions; inferring revised scores for the web content and inferring initial scores for the web content only associated with the unscored actions based on the known scores of the scored actions and the initial scores of the unscored actions; estimating, by one or more processors, revised scores for the unscored actions based on the revised scores for the web content associated with the scored actions and the initial scores for the web content only associated with the unscored actions; inferring, by the one or more processors, revised scores for at least a portion of the web content based on the known scores of the scored actions and the revised scores of the unscored actions; and performing a plurality of iterations of the estimating and inferring steps above. 4. The method of claim 1 , wherein the at least one property comprises a demographic property. | 0.59006 |
1. A method for automatically identifying unique language independent keys comprising the steps of: extracting language independent keys and associated text strings from resource files; inserting said extracted language independent keys and associated text strings in a file; receiving a first value of a first locale; searching for language independent keys in said file associated with said received first value of said first locale; identifying a plurality of language independent keys associated with said received first value of said first locale; identifying a second locale to narrow a number of said plurality of language independent keys; receiving a second value of a second locale; searching for language independent keys out of said plurality of language independent keys that are associated with said received first value of said first locale and associated with said received second value of said second locale; and identifying one or more of said plurality of language independent keys that are associated with said first value of said first locale and associated with said second value of said second locale. | 1. A method for automatically identifying unique language independent keys comprising the steps of: extracting language independent keys and associated text strings from resource files; inserting said extracted language independent keys and associated text strings in a file; receiving a first value of a first locale; searching for language independent keys in said file associated with said received first value of said first locale; identifying a plurality of language independent keys associated with said received first value of said first locale; identifying a second locale to narrow a number of said plurality of language independent keys; receiving a second value of a second locale; searching for language independent keys out of said plurality of language independent keys that are associated with said received first value of said first locale and associated with said received second value of said second locale; and identifying one or more of said plurality of language independent keys that are associated with said first value of said first locale and associated with said second value of said second locale. 2. The method as recited in claim 1 , wherein if only one of said one or more of said plurality of language independent keys is identified, then said one of said one or more of said plurality of language independent keys is a unique language independent key. | 0.595848 |
7. A knowledge-based authentication (KBA) system constructed and arranged to generate a KBA question configured to be provided to a person requesting authentication as a user that is a member of an organization, the KBA question including a query, a correct answer corresponding to the query, and a set of incorrect answers corresponding to the query, the KBA system comprising: a network interface; memory; and a controller including controlling circuitry, the controlling circuitry being constructed and arranged to: produce personal information management (PIM) data from communications involving members of the organization, PIM data from communications involving a particular member of the organization including a reference to the particular member; obtain a set of user facts from the PIM data that includes a reference to the user; generate a set of confounders from user facts of the set of user facts; and select incorrect answers from the set of confounders to form the set of incorrect answers corresponding to the query of the KBA question; wherein the controlling circuitry is further constructed and arranged to: produce the query and the corresponding correct answer of the KBA question from a first subset of the user facts; wherein generating the set of confounders from the user facts includes: producing the set of confounders from a second subset of the user facts, the second subset of the user facts being distinct from the first subset of the user facts; wherein the PIM data includes a set of emails, each email of the set of emails including a header containing i) a user identifier that identifies the user, and ii) a context that identifies subject matter of the email; wherein producing the query and the corresponding correct answer of the KBA question includes: extracting the context from the header of an email of a first subset of emails of the set of emails, the first subset of user facts being derived from the first subset of emails; wherein producing the set of confounders includes: extracting a confounder of the set of confounders from the header of an email of a second subset of emails of the set of emails, the second subset of user facts being derived from the second subset of emails; and wherein the controlling circuitry is further constructed and arranged to: arrange the user identifier, the context, and the set of confounders in an entry in a confounder database. | 7. A knowledge-based authentication (KBA) system constructed and arranged to generate a KBA question configured to be provided to a person requesting authentication as a user that is a member of an organization, the KBA question including a query, a correct answer corresponding to the query, and a set of incorrect answers corresponding to the query, the KBA system comprising: a network interface; memory; and a controller including controlling circuitry, the controlling circuitry being constructed and arranged to: produce personal information management (PIM) data from communications involving members of the organization, PIM data from communications involving a particular member of the organization including a reference to the particular member; obtain a set of user facts from the PIM data that includes a reference to the user; generate a set of confounders from user facts of the set of user facts; and select incorrect answers from the set of confounders to form the set of incorrect answers corresponding to the query of the KBA question; wherein the controlling circuitry is further constructed and arranged to: produce the query and the corresponding correct answer of the KBA question from a first subset of the user facts; wherein generating the set of confounders from the user facts includes: producing the set of confounders from a second subset of the user facts, the second subset of the user facts being distinct from the first subset of the user facts; wherein the PIM data includes a set of emails, each email of the set of emails including a header containing i) a user identifier that identifies the user, and ii) a context that identifies subject matter of the email; wherein producing the query and the corresponding correct answer of the KBA question includes: extracting the context from the header of an email of a first subset of emails of the set of emails, the first subset of user facts being derived from the first subset of emails; wherein producing the set of confounders includes: extracting a confounder of the set of confounders from the header of an email of a second subset of emails of the set of emails, the second subset of user facts being derived from the second subset of emails; and wherein the controlling circuitry is further constructed and arranged to: arrange the user identifier, the context, and the set of confounders in an entry in a confounder database. 8. A system as in claim 7 , wherein arranging the user identifier, the context, and the set of confounders in an entry in a confounder database includes: in the confounder database, storing the set of confounders in an inverted list that is indexed by the user identifier and the context. | 0.562475 |
9. A system comprising: a computer processor; a connection to a computer display; a stateful search session system that: receives a first search query comprising a first set of keywords; causes a first search to be performed using said first search query on a first search engine; receives a first set of search results from said first search engine in response to said first search query; causes at least a portion of said first set of search results to be presented on a computer display; analyze content contained in said first set of search results to derive a first set of related keywords related to the first set of keywords, the first of set of related keywords for categorizing portions of the first set of search results into different categories; causes at least a portion of said first set of related keywords to be presented on said computer display, said related keywords being presented to indicate how the first search results are divided into different categories such that a user may select related keywords to refine a search within specified categories from among the different categories; receives at least one of said related keywords selected by said user, said at least one related keyword corresponding to one or more categories from among the different categories; refine the first search query based on said selected at least one of said related keyword to create a second search query; causes a second search to be performed using said second search query; receives a second set of search results in response to said second search query; causes at least a portion of said second set of search results to be presented on said computer display; determines a second set of related keywords; and causes at least a portion of said second set of related keywords to be presented on said computer display, said related keywords being presented such that a user may select at least one of said related keywords. | 9. A system comprising: a computer processor; a connection to a computer display; a stateful search session system that: receives a first search query comprising a first set of keywords; causes a first search to be performed using said first search query on a first search engine; receives a first set of search results from said first search engine in response to said first search query; causes at least a portion of said first set of search results to be presented on a computer display; analyze content contained in said first set of search results to derive a first set of related keywords related to the first set of keywords, the first of set of related keywords for categorizing portions of the first set of search results into different categories; causes at least a portion of said first set of related keywords to be presented on said computer display, said related keywords being presented to indicate how the first search results are divided into different categories such that a user may select related keywords to refine a search within specified categories from among the different categories; receives at least one of said related keywords selected by said user, said at least one related keyword corresponding to one or more categories from among the different categories; refine the first search query based on said selected at least one of said related keyword to create a second search query; causes a second search to be performed using said second search query; receives a second set of search results in response to said second search query; causes at least a portion of said second set of search results to be presented on said computer display; determines a second set of related keywords; and causes at least a portion of said second set of related keywords to be presented on said computer display, said related keywords being presented such that a user may select at least one of said related keywords. 10. The system of claim 9 , said computer display being on a client device connected to said system through a network connection. | 0.596138 |
10. A method of operating a circuit, comprising: manipulating data arriving at a first data interface with a first word width into data with a second word width, wherein the first and second word widths are each multi-bit and different; transferring the manipulated data to a second data interface having the second word width; and selecting one of a plurality of different word widths for one of the first or second word widths according to a configurable structure that is field programmable. | 10. A method of operating a circuit, comprising: manipulating data arriving at a first data interface with a first word width into data with a second word width, wherein the first and second word widths are each multi-bit and different; transferring the manipulated data to a second data interface having the second word width; and selecting one of a plurality of different word widths for one of the first or second word widths according to a configurable structure that is field programmable. 11. A method according to claim 10 , wherein the first word width is an integer multiple of the second word width; wherein the manipulating includes dividing a first data word with the first word width from the first data interface into a plurality of second data words that each have the second word width; wherein the transferring includes supplying the second data words successively to the second data interface; wherein the circuit includes a storage portion having a plurality of independently controlled storage elements; wherein the dividing includes grouping the second data words in a manner so that each group includes a respective positive integer number of the second data words, and storing each group of the second data words in a respective one of the storage elements; wherein the supplying includes supplying the second data words in succession from the storage portion to the second data interface; wherein each group includes the same number of the second data words; including maintaining a first value that is representative of the number of the second data words in each group, and maintaining a second value that is representative of the number of groups; and wherein the supplying includes, as a function of the first and second values, successively enabling in a mutually exclusive manner each of the storage elements having a group of the second data words therein, each of these storage elements, when enabled, transferring the second data words therein to the second interface. | 0.511194 |
12. A spoken word generation method for speech recognition, executed by a computer, comprising: receiving, by at least one input device, a plurality of input signals, and detecting, by a mode detection module, the plurality of input signals, wherein the plurality of input signals at least includes at least one sound signal; when a specific sound event being detected in the plurality of input signals or at least one control signal being included in the plurality of input signals, outputting a speech training mode and performing, by a speech training module, a training process on the at least one sound signal and outputting a training result; and when no specific sound event being detected in the plurality of input signals and no control signal being included in the plurality of input signals, outputting a speech recognition mode and performing, by a speech recognition module, a speech recognition process on the at least one sound signal and outputting a recognition result, training at least one word model synonymous to at least one preset word by marking left and right boundaries of the specific sound event or the at least one control signal as to indicate the at least one preset word and at least one new word to be added synonymous to the at least one preset word inputted by at least one user and establishing a connection between the at least one word model and the at least one preset word. | 12. A spoken word generation method for speech recognition, executed by a computer, comprising: receiving, by at least one input device, a plurality of input signals, and detecting, by a mode detection module, the plurality of input signals, wherein the plurality of input signals at least includes at least one sound signal; when a specific sound event being detected in the plurality of input signals or at least one control signal being included in the plurality of input signals, outputting a speech training mode and performing, by a speech training module, a training process on the at least one sound signal and outputting a training result; and when no specific sound event being detected in the plurality of input signals and no control signal being included in the plurality of input signals, outputting a speech recognition mode and performing, by a speech recognition module, a speech recognition process on the at least one sound signal and outputting a recognition result, training at least one word model synonymous to at least one preset word by marking left and right boundaries of the specific sound event or the at least one control signal as to indicate the at least one preset word and at least one new word to be added synonymous to the at least one preset word inputted by at least one user and establishing a connection between the at least one word model and the at least one preset word. 20. A non-transitory computer readable medium, comprising a plurality of instructions, wherein the plurality of instructions are executed by a computer to perform the spoken word generation method for speech recognition as claimed in claim 12 . | 0.633433 |
1. A method for annotation, comprising: running an initial build file; generating, based on one or more annotations predefined in a folder, an index file as the initial build the is run, wherein the index file includes first and second strings, wherein the first string defines a key specifying one of the one or more predefined annotations, wherein the second string defines a value specifying a name of a class that is mapped to the annotation, wherein the folder is added as an indexed annotation; archiving the index file with the one or more predefined mapped annotations and class; and looking up, based on a given annotation, the index file to seek one or more classes associated with the given annotation. | 1. A method for annotation, comprising: running an initial build file; generating, based on one or more annotations predefined in a folder, an index file as the initial build the is run, wherein the index file includes first and second strings, wherein the first string defines a key specifying one of the one or more predefined annotations, wherein the second string defines a value specifying a name of a class that is mapped to the annotation, wherein the folder is added as an indexed annotation; archiving the index file with the one or more predefined mapped annotations and class; and looking up, based on a given annotation, the index file to seek one or more classes associated with the given annotation. 5. The method of claim 1 , wherein the generating is implemented during packaging to a target module. | 0.590183 |
35. The computer readable medium of claim 29 , wherein the media object is a book, and the content comprises body text. | 35. The computer readable medium of claim 29 , wherein the media object is a book, and the content comprises body text. 36. The computer readable medium of claim 35 , wherein the content data comprises a score for a first word, the score determined by comparing a number of times the first word appears in the body text with a number of times the first word appears in a corpus of books. | 0.773174 |
22. An article of manufacture comprising a non-transitory machine-readable storage medium having machine executable instructions embedded thereon, which when executed by a machine, causes the machine to: group a plurality of Extensible Mark-up Language (XML) schema definition (XSD) types, each XSD type being defined in an individual XSD file according to a pre-defined rule; bundle the plurality of individual XSD types into a type library, the type library including a type information file to register the individual XSD types in the type library, the type library further including a type dependencies file to register dependencies between the individual XSD types in the same or different type library; import types from a different type library, when defining derived types or aggregated types; generate Java artifacts from the XSD types; and associate the Java artifacts with corresponding XSD types in the type information file of the type library. | 22. An article of manufacture comprising a non-transitory machine-readable storage medium having machine executable instructions embedded thereon, which when executed by a machine, causes the machine to: group a plurality of Extensible Mark-up Language (XML) schema definition (XSD) types, each XSD type being defined in an individual XSD file according to a pre-defined rule; bundle the plurality of individual XSD types into a type library, the type library including a type information file to register the individual XSD types in the type library, the type library further including a type dependencies file to register dependencies between the individual XSD types in the same or different type library; import types from a different type library, when defining derived types or aggregated types; generate Java artifacts from the XSD types; and associate the Java artifacts with corresponding XSD types in the type information file of the type library. 23. The article of manufacture as claimed in claim 22 being further configured to generate Java artifacts from the XSD types in a Java package associated with a namespace corresponding to the XSD types. | 0.508257 |
11. A method for navigating between document pages, selecting the document pages, and organizing the document pages, the method comprising: displaying page tabs adjacent to one another in one of: a horizontal column and a vertical column, colorized in an assigned color, and corresponding to each of said document pages, wherein at least one adjacent page tab is identified as a continuation page tab, and wherein the continuation page tab is displayed smaller than a non-continuation page tab, the continuation page tab corresponding to at least one continuation page of a plurality of continuation pages, the at least one continuation page comprising a sequence of notes; wherein the assigned color of each page tab is utilized to display a background portion of each page tab, the assigned color of each page tab being varied to indicate that at least one document page corresponding to each page tab contains at least one search term specified by a user upon a search for the at least one search term specified by the user; receiving a first selection of a first page tab; in response to receiving the first selection of the first page tab, colorizing each unselected page tab in an increasingly darkened gradient corresponding to a distance from the selected first page tab to each unselected page tab; receiving a second selection of a second page tab subsequent to the first selection of the first page tab, wherein receiving the first selection of the first page tab and receiving the second selection of the second page tab comprises receiving the first selection of the first page tab and receiving the second selection of the second page tab in response to a user initiated input being dragged from the first page tab, across at least one intervening page tab, and subsequently to the second page tab; scrolling, in response to the user initiated input being dragged from the first page tab, across the at least one intervening page tab, and subsequently to the second page tab, a currently viewable portion of the page tabs to show the second page tab in the currently viewable portion when the second page tab is not in the currently viewable portion prior to the user initiated input being dragged; displaying, in response to the user initiated input, content of a first document page corresponding to the first page tab, then content of at least one intervening document page corresponding to the at least one intervening page tab, and then content of a second document page corresponding to the second page tab, wherein the content of the first document page corresponding to the first page tab and the content of the at least one intervening document page corresponding to the at least one intervening page tab are each displayed for a period of time; receiving a third selection of a third page tab to be relocated; displaying, upon receiving the third selection of the third page tab to be relocated and the user inciting relocation, a highlighted outline page tab and an insertion point, the insertion point showing a new location for the third selected page tab to be relocated; displaying at least one next page tab at an end of one of: the horizontal column of the page tabs and the vertical column of the page tabs; receiving a fourth selection of the at least one next page tab, the at least one next page tab being operative to navigate one of forward and backward by a preset number of the page tabs; and in response to receiving the fourth selection: selecting, as a newly selected page tab, one of the following: an adjacent page tab adjacent to the currently selected page tab, or alternatively a first subsequent page tab following a group of the page tabs specified by the preset number of the page tabs, wherein the preset number of the page tabs comprises an amount of simultaneously displayed page tabs within the currently viewable portion of the page tabs, and displaying a corresponding document page of the newly selected page tab. | 11. A method for navigating between document pages, selecting the document pages, and organizing the document pages, the method comprising: displaying page tabs adjacent to one another in one of: a horizontal column and a vertical column, colorized in an assigned color, and corresponding to each of said document pages, wherein at least one adjacent page tab is identified as a continuation page tab, and wherein the continuation page tab is displayed smaller than a non-continuation page tab, the continuation page tab corresponding to at least one continuation page of a plurality of continuation pages, the at least one continuation page comprising a sequence of notes; wherein the assigned color of each page tab is utilized to display a background portion of each page tab, the assigned color of each page tab being varied to indicate that at least one document page corresponding to each page tab contains at least one search term specified by a user upon a search for the at least one search term specified by the user; receiving a first selection of a first page tab; in response to receiving the first selection of the first page tab, colorizing each unselected page tab in an increasingly darkened gradient corresponding to a distance from the selected first page tab to each unselected page tab; receiving a second selection of a second page tab subsequent to the first selection of the first page tab, wherein receiving the first selection of the first page tab and receiving the second selection of the second page tab comprises receiving the first selection of the first page tab and receiving the second selection of the second page tab in response to a user initiated input being dragged from the first page tab, across at least one intervening page tab, and subsequently to the second page tab; scrolling, in response to the user initiated input being dragged from the first page tab, across the at least one intervening page tab, and subsequently to the second page tab, a currently viewable portion of the page tabs to show the second page tab in the currently viewable portion when the second page tab is not in the currently viewable portion prior to the user initiated input being dragged; displaying, in response to the user initiated input, content of a first document page corresponding to the first page tab, then content of at least one intervening document page corresponding to the at least one intervening page tab, and then content of a second document page corresponding to the second page tab, wherein the content of the first document page corresponding to the first page tab and the content of the at least one intervening document page corresponding to the at least one intervening page tab are each displayed for a period of time; receiving a third selection of a third page tab to be relocated; displaying, upon receiving the third selection of the third page tab to be relocated and the user inciting relocation, a highlighted outline page tab and an insertion point, the insertion point showing a new location for the third selected page tab to be relocated; displaying at least one next page tab at an end of one of: the horizontal column of the page tabs and the vertical column of the page tabs; receiving a fourth selection of the at least one next page tab, the at least one next page tab being operative to navigate one of forward and backward by a preset number of the page tabs; and in response to receiving the fourth selection: selecting, as a newly selected page tab, one of the following: an adjacent page tab adjacent to the currently selected page tab, or alternatively a first subsequent page tab following a group of the page tabs specified by the preset number of the page tabs, wherein the preset number of the page tabs comprises an amount of simultaneously displayed page tabs within the currently viewable portion of the page tabs, and displaying a corresponding document page of the newly selected page tab. 12. The method of claim 11 , further comprising: displaying the at least one next page tab only if the number of page tabs exceeds the amount of the page tabs that are simultaneously displayed within the currently viewable portion of the page tabs. | 0.53088 |
1. Computerized apparatus useful for locating an organization or entity, the organization or entity being disposed within a building or structure, the apparatus comprising: a wireless interface; data processing apparatus; a touch-screen input and display device; a speech digitization apparatus in data communication with the data processing apparatus; and a storage apparatus in data communication with the data processing apparatus, said storage apparatus comprising at least one computer program, said at least one program being configured to: receive a digitized speech input via the speech digitization apparatus, the input relating to an organization or entity which a user wishes to locate; based at least in part on the input, causing recognition of at least one word therein relating to the organization or entity, and identification of a location associated with the organization or entity based at least in part on the at least one recognized word, the location being inside of the building or structure; and provide a graphical or visual representation of the location on the touch screen input and display device in order to aid a user in finding the organization or entity, the graphical or visual representation of the location also comprising a graphical or visual representation of at least the immediate surroundings of the organization or entity, the immediate surroundings being inside the building or structure. | 1. Computerized apparatus useful for locating an organization or entity, the organization or entity being disposed within a building or structure, the apparatus comprising: a wireless interface; data processing apparatus; a touch-screen input and display device; a speech digitization apparatus in data communication with the data processing apparatus; and a storage apparatus in data communication with the data processing apparatus, said storage apparatus comprising at least one computer program, said at least one program being configured to: receive a digitized speech input via the speech digitization apparatus, the input relating to an organization or entity which a user wishes to locate; based at least in part on the input, causing recognition of at least one word therein relating to the organization or entity, and identification of a location associated with the organization or entity based at least in part on the at least one recognized word, the location being inside of the building or structure; and provide a graphical or visual representation of the location on the touch screen input and display device in order to aid a user in finding the organization or entity, the graphical or visual representation of the location also comprising a graphical or visual representation of at least the immediate surroundings of the organization or entity, the immediate surroundings being inside the building or structure. 8. The apparatus of claim 1 , wherein the computerized apparatus is configured to be transportable from one location to another within a transport apparatus having a passenger compartment. | 0.682958 |
1. A computer system comprising: a computer processor; and a computer readable storage medium storing program instructions configured for execution by the computer processor in order to configure the computer processor to: generate a graphical user interface including at least a representation of a plurality of dimensions of a multidimensional data set; receive, via the graphical user interface, a selection of at least two dimensions of the multidimensional data set; determine a plurality of data objects each corresponding to different combinations of values of the selected dimensions; generate a plurality of two-dimensional graphs that are spatially positioned in a single graphical user interface view, wherein: each of the two-dimensional graphs is generated based on data associated with a respective one of the plurality of data objects, each of the two-dimensional graphs comprises a respective x-axis and a respective y-axis, the x-axes of the two-dimensional graphs each have a first common scale and a first common interval, the y-axes of the two-dimensional graphs each have a second common scale and a second common interval, and data represented in each respective two-dimensional graph is shown according to the first common scale and the first common interval of the x-axes and the second common scale and the second common interval of the y-axes; and update the graphical user interface to display the single graphical user interface view including the plurality of two-dimensional graphs, wherein: the plurality of two-dimensional graphs are displayed in a plurality of rows and columns, each combination of row and column corresponds to a different respective combination of values of the selected dimensions, and the plurality of two-dimensional graphs are spatially positioned in the single graphical user interface view in corresponding rows and columns to enable a user to directly compare data represented in the plurality of two-dimensional graphs to view differences in data across the selected dimensions. | 1. A computer system comprising: a computer processor; and a computer readable storage medium storing program instructions configured for execution by the computer processor in order to configure the computer processor to: generate a graphical user interface including at least a representation of a plurality of dimensions of a multidimensional data set; receive, via the graphical user interface, a selection of at least two dimensions of the multidimensional data set; determine a plurality of data objects each corresponding to different combinations of values of the selected dimensions; generate a plurality of two-dimensional graphs that are spatially positioned in a single graphical user interface view, wherein: each of the two-dimensional graphs is generated based on data associated with a respective one of the plurality of data objects, each of the two-dimensional graphs comprises a respective x-axis and a respective y-axis, the x-axes of the two-dimensional graphs each have a first common scale and a first common interval, the y-axes of the two-dimensional graphs each have a second common scale and a second common interval, and data represented in each respective two-dimensional graph is shown according to the first common scale and the first common interval of the x-axes and the second common scale and the second common interval of the y-axes; and update the graphical user interface to display the single graphical user interface view including the plurality of two-dimensional graphs, wherein: the plurality of two-dimensional graphs are displayed in a plurality of rows and columns, each combination of row and column corresponds to a different respective combination of values of the selected dimensions, and the plurality of two-dimensional graphs are spatially positioned in the single graphical user interface view in corresponding rows and columns to enable a user to directly compare data represented in the plurality of two-dimensional graphs to view differences in data across the selected dimensions. 3. The computer system of claim 1 , wherein the computer processor is further configured to: receive, via the graphical user interface, a mathematical operation; apply the mathematical operation to the determined data objects; re-generate the plurality of two-dimensional graphs such that at least one of the x-axis or the y-axis of each of the two-dimensional graphs represents an output of the applied mathematical operation; and update the graphical user interface to display the single graphical user interface view including the re-generated two-dimensional graphs. | 0.531263 |
1. A process control system comprising: a server; and a database system in data storage that is accessible to the server, the database system including a set of tables that contain process representations, a process representation indicating a current status of a process that is being controlled by the system; a set of tables that contain query representations, a query representation indicating a particular query over the set of process representations; a set of tables that contain administrative activity representations, a query representation further being related in the database system to an administrative activity representation indicating an activity performed on each process representation that belongs to a result set produced by the particular query indicated by the related query representation, and a set of tables that contain action representations, an action representation being related in the database system to an administrative activity representation and indicating an action executed when the related administrative activity representation's activity is performed, an action representation further being related to a trigger representation in a set of tables that contain the trigger representations, a trigger representation relating a query representation to an administrative activity representation, wherein the server utilizes the sets of tables in selecting one of the query representations for execution, executing a first particular query indicated by the selected query representation, performing the related administrative activity on each of the process representations in the first particular query's result set, determining that an action representation related to the associated administrative activity is a trigger representation, executing a second particular query indicated by the query representation related to the trigger representation, and performing the administrative activity represented by the administrative activity representation related to the trigger representation on a result set of the second particular query, wherein the result set of the second particular query includes process representations which are not included in the result set of the first particular query. | 1. A process control system comprising: a server; and a database system in data storage that is accessible to the server, the database system including a set of tables that contain process representations, a process representation indicating a current status of a process that is being controlled by the system; a set of tables that contain query representations, a query representation indicating a particular query over the set of process representations; a set of tables that contain administrative activity representations, a query representation further being related in the database system to an administrative activity representation indicating an activity performed on each process representation that belongs to a result set produced by the particular query indicated by the related query representation, and a set of tables that contain action representations, an action representation being related in the database system to an administrative activity representation and indicating an action executed when the related administrative activity representation's activity is performed, an action representation further being related to a trigger representation in a set of tables that contain the trigger representations, a trigger representation relating a query representation to an administrative activity representation, wherein the server utilizes the sets of tables in selecting one of the query representations for execution, executing a first particular query indicated by the selected query representation, performing the related administrative activity on each of the process representations in the first particular query's result set, determining that an action representation related to the associated administrative activity is a trigger representation, executing a second particular query indicated by the query representation related to the trigger representation, and performing the administrative activity represented by the administrative activity representation related to the trigger representation on a result set of the second particular query, wherein the result set of the second particular query includes process representations which are not included in the result set of the first particular query. 11. The process control system set forth in claim 1 wherein: a query representation specifies a set of process representations; and the result set of the particular query indicated by the query representation is selected from the set of process representations. | 0.514411 |
1. A computer-implemented method, comprising: receiving first developer inputs authoring markup language code in a user interface (UI) markup file; receiving second developer inputs authoring a compiled language code section in line with the markup language code in the UI markup file, the compiled language code section comprising compiled language code to be compiled by a compile system and being delineated from the markup language code by a set of compiled language code identifiers, the compiled language code identifiers identifying the compiled language code section; generating the UI markup file with the markup language code and the compiled language code section in line with the markup language code and delineated from the markup language code by the compiled language code identifiers, in response to the first and second developer inputs; and outputting the UI markup file for compiling of the compiled language code at the compile system. | 1. A computer-implemented method, comprising: receiving first developer inputs authoring markup language code in a user interface (UI) markup file; receiving second developer inputs authoring a compiled language code section in line with the markup language code in the UI markup file, the compiled language code section comprising compiled language code to be compiled by a compile system and being delineated from the markup language code by a set of compiled language code identifiers, the compiled language code identifiers identifying the compiled language code section; generating the UI markup file with the markup language code and the compiled language code section in line with the markup language code and delineated from the markup language code by the compiled language code identifiers, in response to the first and second developer inputs; and outputting the UI markup file for compiling of the compiled language code at the compile system. 7. The computer-implemented method of claim 1 and further comprising: parsing the UI markup file to identify the compiled language code section for a compiler; and compiling the compiled language code section to obtain compiled code. | 0.585796 |
1. A method for providing data based on object relevance, comprising: executing instructions stored in memory via a processor of a computing system for: receiving one or more query terms from a user; determining a preliminary relevance of one or more objects associated with an enterprise system based on the query terms; assigning at least one rating to the one or more objects based on the preliminary relevance; establishing an overall relevance of the one or more objects based on the at least one rating; ranking the one or more objects according to the overall relevance; providing data as search results comprising the one or more objects according to the ranking to the user; filtering the search results based on at least one selected, dynamically generated filter associated with the one or more objects; and modifying the search results, based on one or more query terms from the user and the overall relevance, by re-ranking the one or more objects. | 1. A method for providing data based on object relevance, comprising: executing instructions stored in memory via a processor of a computing system for: receiving one or more query terms from a user; determining a preliminary relevance of one or more objects associated with an enterprise system based on the query terms; assigning at least one rating to the one or more objects based on the preliminary relevance; establishing an overall relevance of the one or more objects based on the at least one rating; ranking the one or more objects according to the overall relevance; providing data as search results comprising the one or more objects according to the ranking to the user; filtering the search results based on at least one selected, dynamically generated filter associated with the one or more objects; and modifying the search results, based on one or more query terms from the user and the overall relevance, by re-ranking the one or more objects. 6. The method recited in claim 1 , further comprising receiving at least one further query term from the user for narrowing the search results. | 0.654351 |
10. A system comprising: a memory for storing data and computer-executable instructions; and at least one processor configured to access the memory, wherein the at least one processor is further configured to execute the computer-executable instructions to cause the system to perform a method comprising: associating external query data having one or more query field values with a record in a linked hierarchical database, the linked hierarchical database comprising a plurality of records, each record having a record identifier and representing an entity in a hierarchy, each record associated with a hierarchy level, each record comprising one or more fields, each field configured to contain a field value, the associating comprising: receiving the external query data, wherein the external query data comprises one or more search values; and identifying, from the plurality of records in the linked hierarchical database, one or more matched fields having field values that at least partially match the one or more search values; scoring, with zero or more match weights, each of the one or more matched fields; determining an aggregate weight for each matched field based at least in part on the scoring with the zero or more match weights; merging, based at least in part on determining the aggregate weights, the one or more matched fields to form a merged table having records with matched fields; scoring the merged table based at least in part on the aggregate weights; identifying, based at least in part on the scoring, a grouping comprising one or more of the plurality of entities within a same branch of the hierarchy and corresponding to different hierarchy levels; and outputting, based at least in part on the scoring and identifying, a record identifier corresponding to a matching entity in the hierarchy. | 10. A system comprising: a memory for storing data and computer-executable instructions; and at least one processor configured to access the memory, wherein the at least one processor is further configured to execute the computer-executable instructions to cause the system to perform a method comprising: associating external query data having one or more query field values with a record in a linked hierarchical database, the linked hierarchical database comprising a plurality of records, each record having a record identifier and representing an entity in a hierarchy, each record associated with a hierarchy level, each record comprising one or more fields, each field configured to contain a field value, the associating comprising: receiving the external query data, wherein the external query data comprises one or more search values; and identifying, from the plurality of records in the linked hierarchical database, one or more matched fields having field values that at least partially match the one or more search values; scoring, with zero or more match weights, each of the one or more matched fields; determining an aggregate weight for each matched field based at least in part on the scoring with the zero or more match weights; merging, based at least in part on determining the aggregate weights, the one or more matched fields to form a merged table having records with matched fields; scoring the merged table based at least in part on the aggregate weights; identifying, based at least in part on the scoring, a grouping comprising one or more of the plurality of entities within a same branch of the hierarchy and corresponding to different hierarchy levels; and outputting, based at least in part on the scoring and identifying, a record identifier corresponding to a matching entity in the hierarchy. 11. The system of claim 10 , wherein scoring, with the zero or more match weights, comprises scoring each of the one or more matched fields with a uniqueness weight, the uniqueness weight representing a specificity of the field value in relation to all field values in a corresponding field of the plurality of records in the linked hierarchical database. | 0.660999 |
1. A method, comprising: obtaining a set of clauses in a first set of content items comprising unstructured data; obtaining a set of stop words comprising high-frequency words that occur in a second set of content items; automatically extracting, by one or more computer systems, a set of topics from the set of clauses by: generating a set of n-grams from the set of clauses; excluding a first n-gram from the set of n-grams when the first n-gram contains a word in the set of stop words in a pre-specified position of the first n-gram; and applying a morphological filter to the set of n-grams to yield a subset of the set of n-grams, wherein: the set of topics comprises the subset of the set of n-grams; and the morphological filter is independent of words in the set of stop words; and displaying, by the one or more computer systems, the set of topics to a user to improve understanding of the first set of content items by the user without requiring the user to manually analyze the first set of content items; wherein extracting the set of topics from the set of clauses further comprises: excluding a second n-gram from the set of n-grams when the second n-gram contains a proportion of words in the set of stop words that exceeds a threshold. | 1. A method, comprising: obtaining a set of clauses in a first set of content items comprising unstructured data; obtaining a set of stop words comprising high-frequency words that occur in a second set of content items; automatically extracting, by one or more computer systems, a set of topics from the set of clauses by: generating a set of n-grams from the set of clauses; excluding a first n-gram from the set of n-grams when the first n-gram contains a word in the set of stop words in a pre-specified position of the first n-gram; and applying a morphological filter to the set of n-grams to yield a subset of the set of n-grams, wherein: the set of topics comprises the subset of the set of n-grams; and the morphological filter is independent of words in the set of stop words; and displaying, by the one or more computer systems, the set of topics to a user to improve understanding of the first set of content items by the user without requiring the user to manually analyze the first set of content items; wherein extracting the set of topics from the set of clauses further comprises: excluding a second n-gram from the set of n-grams when the second n-gram contains a proportion of words in the set of stop words that exceeds a threshold. 3. The method of claim 1 , further comprising: generating the set of clauses from the first set of content items by separating a content item into two or more clauses based on a presence of a connective word between the two or more clauses. | 0.617971 |
1. A method of communicating during an instant messaging (“IM”) session, comprising: creating, by a message author participating in the IM session, a first message to be sent to each of at least one other participants in the IM session; designating in the first message, by the message author, at least one portion of the first message for sending to a non-participant in the IM session; annotating the first message, by the message author, with at least one messaging identifier associated with the non-participant and, for each of the at least one messaging identifiers, a corresponding routing method; sending a query to each of the at least one other participants to determine if they approve sending the at least one designated portion to the non-participant, and if a response to each sent query indicates that the at least one other participants approve the sending, then: programmatically generating a second message that comprises each of the at least one designated portions of the first message and excludes other portions of the first message; and sending the second message to the non-participant using at least one of the messaging identifiers with which the first message is annotated and the corresponding routing method; and sending the first message to each of the at least one other participants in the IM session using the IM session, wherein at least one of the corresponding routing methods used for sending the second message to the non-participant is different from the IM session used for sending the first message to each of the at least one other participants. | 1. A method of communicating during an instant messaging (“IM”) session, comprising: creating, by a message author participating in the IM session, a first message to be sent to each of at least one other participants in the IM session; designating in the first message, by the message author, at least one portion of the first message for sending to a non-participant in the IM session; annotating the first message, by the message author, with at least one messaging identifier associated with the non-participant and, for each of the at least one messaging identifiers, a corresponding routing method; sending a query to each of the at least one other participants to determine if they approve sending the at least one designated portion to the non-participant, and if a response to each sent query indicates that the at least one other participants approve the sending, then: programmatically generating a second message that comprises each of the at least one designated portions of the first message and excludes other portions of the first message; and sending the second message to the non-participant using at least one of the messaging identifiers with which the first message is annotated and the corresponding routing method; and sending the first message to each of the at least one other participants in the IM session using the IM session, wherein at least one of the corresponding routing methods used for sending the second message to the non-participant is different from the IM session used for sending the first message to each of the at least one other participants. 15. The method according to claim 1 , wherein the response is created, for at least one of the at least one other participants, by programmatically evaluating rules to determine whether the at least one designated portion is approved for sending to the non-participant. | 0.544799 |
10. The integrated development environment of claim 8 wherein the build script engine comprises: a rules configuration block; a task scheduler; and wherein the rules configuration block and task scheduler determine scheduling of build actions of the processed build rules from the build rules parser, the scheduling of build actions are provided to the build script generator for generating the build scripts. | 10. The integrated development environment of claim 8 wherein the build script engine comprises: a rules configuration block; a task scheduler; and wherein the rules configuration block and task scheduler determine scheduling of build actions of the processed build rules from the build rules parser, the scheduling of build actions are provided to the build script generator for generating the build scripts. 11. The integrated development environment of claim 10 wherein: the build script engine comprises a delta detection block, the delta detection block compares the processed App metadata, processed build rules and source code of the hybrid App with App metadata, build rules and source code of a previous version of the hybrid App, and generates a delta list comprising build steps based on the differences; and the build script generator generates the build scripts based on the build rules, App metadata, delta list and scheduling of build actions. | 0.854021 |
1. A computer implemented language interpretation platform, for providing a language interpretation session between a user and a human staff language interpreter, comprising: a processor that determines available languages for which language interpretation resources are currently available based on at least one user criterion and language interpreter availability, wherein the processor also determines available modalities for the available languages, wherein the available modalities are selected from the group consisting of: voice, text, and video; and a routing engine that receives, via an Application Programming Interface, a request, from a computing device being used by the user, for the available languages and sends the available languages and the available modalities to the computing device such that the computing device displays the available languages and, after receiving a user selection of one of the available languages, displays the available modalities for the user selected language and receives a user selection of one of the available modalities for establishing a language interpretation session with a language interpreter for the user selected language, wherein the request includes the at least one user criterion, the routing engine further sending a real-time update of the available modalities to the computing device prior to a user selection of one of the available modalities such that the computing device changes the available modalities that are displayed based on the real-time update, the real-time update being based on a change in the modality availability. | 1. A computer implemented language interpretation platform, for providing a language interpretation session between a user and a human staff language interpreter, comprising: a processor that determines available languages for which language interpretation resources are currently available based on at least one user criterion and language interpreter availability, wherein the processor also determines available modalities for the available languages, wherein the available modalities are selected from the group consisting of: voice, text, and video; and a routing engine that receives, via an Application Programming Interface, a request, from a computing device being used by the user, for the available languages and sends the available languages and the available modalities to the computing device such that the computing device displays the available languages and, after receiving a user selection of one of the available languages, displays the available modalities for the user selected language and receives a user selection of one of the available modalities for establishing a language interpretation session with a language interpreter for the user selected language, wherein the request includes the at least one user criterion, the routing engine further sending a real-time update of the available modalities to the computing device prior to a user selection of one of the available modalities such that the computing device changes the available modalities that are displayed based on the real-time update, the real-time update being based on a change in the modality availability. 10. The computer implemented language interpretation platform of claim 1 , wherein the routing engine sends a wait time for a modality associated with a language from the available languages. | 0.774118 |
1. A computing system for identifying records, comprising: at least one hardware processor; and at least one storage device configured to store software instructions configured for execution by the at least one hardware processor to cause the computing system to: provide one alphanumeric key to any record of a plurality of records not including an alphanumeric key; provide one text description comprising at least one word to any record of the plurality of records not including a text description comprising at least one word; establish a multidimensional index comprising at least one four element index associated with each record, the four element index comprising: a pointer pointing from one alphanumeric key to one associated record; a text description pointer pointing from each text description to the one associated record; a first reverse word index pointer pointing from each word to one alphanumeric key; and a second reverse word index pointer pointing from each word to one text description; and search the plurality of records using the multidimensional index. | 1. A computing system for identifying records, comprising: at least one hardware processor; and at least one storage device configured to store software instructions configured for execution by the at least one hardware processor to cause the computing system to: provide one alphanumeric key to any record of a plurality of records not including an alphanumeric key; provide one text description comprising at least one word to any record of the plurality of records not including a text description comprising at least one word; establish a multidimensional index comprising at least one four element index associated with each record, the four element index comprising: a pointer pointing from one alphanumeric key to one associated record; a text description pointer pointing from each text description to the one associated record; a first reverse word index pointer pointing from each word to one alphanumeric key; and a second reverse word index pointer pointing from each word to one text description; and search the plurality of records using the multidimensional index. 6. The computing system of claim 1 , wherein words in the text description are separated from adjacent words by an alphanumeric separator. | 0.550439 |
15. A computer-readable storage device having instructions stored which, when executed by a computing device, cause the computing device to perform operations comprising: identifying an acoustic model, wherein the acoustic model is trained on native speech in a target dialect; identifying a class of a speaker; and replacing a phoneme in the acoustic model with a modified phoneme, wherein the modified phoneme is a weighted sum of plausible phonemes in a lattice of plausible phonemes associated with the class of the speaker. | 15. A computer-readable storage device having instructions stored which, when executed by a computing device, cause the computing device to perform operations comprising: identifying an acoustic model, wherein the acoustic model is trained on native speech in a target dialect; identifying a class of a speaker; and replacing a phoneme in the acoustic model with a modified phoneme, wherein the modified phoneme is a weighted sum of plausible phonemes in a lattice of plausible phonemes associated with the class of the speaker. 19. The computer-readable storage device of claim 15 , wherein the replacing of the phoneme in the acoustic model is based on evaluating an objective function. | 0.505329 |
12. The speech-based speaker recognition system of claim 8 , wherein the voice feature recognition module comprises a voice feature comparison engine to compare the pitch of the speaker of the test passphrase with the pitch of the speaker of the reference passphrase to determine whether the speaker of the test passphrase matches the speaker of the reference passphrase. | 12. The speech-based speaker recognition system of claim 8 , wherein the voice feature recognition module comprises a voice feature comparison engine to compare the pitch of the speaker of the test passphrase with the pitch of the speaker of the reference passphrase to determine whether the speaker of the test passphrase matches the speaker of the reference passphrase. 13. The speech-based speaker recognition system of claim 12 , wherein the voice feature comparison engine comprises a voice feature match scoring module to determine a matching score based on similarity between the pitch of the speaker of the test passphrase with the pitch of the speaker of the reference passphrase, and wherein the voice feature comparison engine determines whether the speaker of the test passphrase matches the speaker of the reference passphrase based on the matching score. | 0.910085 |
1. A computer system, comprising: a display interface; a user input device interface; and a processor cooperatively operable with the display interface and the user input device interface, and configured to facilitate: providing, via the display interface, a listing of pre-defined mashups and a canvas, the pre-defined mashups being stored in a repository, interacting with a user via the display interface and the user input device interface to define a visual configuration of the canvas and to drag and drop one of the pre-defined mashups from the listing onto the canvas, and storing, in the repository, the visual configuration of the canvas with the pre-defined mashup as a mashup dashboard, for later retrieval to recreate the visual configuration with the pre-defined mashup executing therein, wherein the visual configuration includes first and second pre-defined mashups executing therein to provide live data, the processor is configured to facilitate interacting with the user via the display interface and the user input device interface to specify how the second pre-defined mashup maps live data from the first pre-defined mashup into different live data and visuals of the second pre-defined mashup. | 1. A computer system, comprising: a display interface; a user input device interface; and a processor cooperatively operable with the display interface and the user input device interface, and configured to facilitate: providing, via the display interface, a listing of pre-defined mashups and a canvas, the pre-defined mashups being stored in a repository, interacting with a user via the display interface and the user input device interface to define a visual configuration of the canvas and to drag and drop one of the pre-defined mashups from the listing onto the canvas, and storing, in the repository, the visual configuration of the canvas with the pre-defined mashup as a mashup dashboard, for later retrieval to recreate the visual configuration with the pre-defined mashup executing therein, wherein the visual configuration includes first and second pre-defined mashups executing therein to provide live data, the processor is configured to facilitate interacting with the user via the display interface and the user input device interface to specify how the second pre-defined mashup maps live data from the first pre-defined mashup into different live data and visuals of the second pre-defined mashup. 8. The computer system of claim 1 , wherein the mashup dashboard is published as a mashup to share with plural users. | 0.818152 |
59. An apparatus, comprising: an integrated input and display device configured to provide polysemous symbols on an initial electronic screen overlay; a memory, configured to store a plurality of the polysemous symbols in association with a pointer identifying display of an electronic screen overlay which is different from the initial electronic screen overlay and store an interactive dictionary database including a plurality of single symbol and multi-symbol symbol sequences, each of the symbol sequences being stored in association with at least one word, sentence, phoneme, message, letter, number, morpheme, command and/or phrase and in association with information indicating at least one of an active and an inactive status, wherein only symbols, of the provided polysemous symbols of the initial electronic screen overlay, corresponding to at least one of the plurality of stored symbol sequences stored in association with information indicating an active status, are selectable; and a processor to control display of a second electronic screen overlay on the integrated input and display device, including second symbols in active multi-symbol sequences beginning with the selected polysemous symbol, in response to receiving an indication of selection of one of the provided selectable polysemous symbols beginning one of the active multi-symbol sequences. | 59. An apparatus, comprising: an integrated input and display device configured to provide polysemous symbols on an initial electronic screen overlay; a memory, configured to store a plurality of the polysemous symbols in association with a pointer identifying display of an electronic screen overlay which is different from the initial electronic screen overlay and store an interactive dictionary database including a plurality of single symbol and multi-symbol symbol sequences, each of the symbol sequences being stored in association with at least one word, sentence, phoneme, message, letter, number, morpheme, command and/or phrase and in association with information indicating at least one of an active and an inactive status, wherein only symbols, of the provided polysemous symbols of the initial electronic screen overlay, corresponding to at least one of the plurality of stored symbol sequences stored in association with information indicating an active status, are selectable; and a processor to control display of a second electronic screen overlay on the integrated input and display device, including second symbols in active multi-symbol sequences beginning with the selected polysemous symbol, in response to receiving an indication of selection of one of the provided selectable polysemous symbols beginning one of the active multi-symbol sequences. 64. The apparatus of claim 59 , wherein a status indicator of at least one single symbol sequence, including a symbol displayed on the initial electronic screen overlay, is automatically initially set by the processor to be inactive upon a status indicator of at least one multi-symbol sequence, including the displayed symbol beginning the at least one multi-symbol sequence, being set to an active status. | 0.649206 |
1. A method, comprising: determining, via at least one of one or more computing devices implementing a documentation system in response to obtaining a document for publishing in a node in the documentation system, whether the document corresponds to a topic identifier, the topic identifier uniquely identifying a node within the documentation system, the node corresponding to a plurality of documentation topics; assigning, via at least one of the one or more computing devices, the topic identifier to the document in response to determining that the document has not been assigned the topic identifier; converting, via at least one of the one or more computing devices, topic content associated with the document into a storage format, the storage format being a platform independent format; storing, via at least one of the one or more computing devices, the document in a data store in communication with the at least one computing device, the data store associated with the documentation system, the document being stored in the storage format; triggering, via at least one of the one or more computing devices, conversion of a plurality of documents associated with the node from the storage format to a plurality of publication formats in response to storage of the document, the plurality of publication formats configured for presentation on a client; identifying, via at least one of the one or more computing devices, a respective publication format associated with a respective client device; and transmitting, via at least one of the one or more computing devices, the respective publication format to the respective client device. | 1. A method, comprising: determining, via at least one of one or more computing devices implementing a documentation system in response to obtaining a document for publishing in a node in the documentation system, whether the document corresponds to a topic identifier, the topic identifier uniquely identifying a node within the documentation system, the node corresponding to a plurality of documentation topics; assigning, via at least one of the one or more computing devices, the topic identifier to the document in response to determining that the document has not been assigned the topic identifier; converting, via at least one of the one or more computing devices, topic content associated with the document into a storage format, the storage format being a platform independent format; storing, via at least one of the one or more computing devices, the document in a data store in communication with the at least one computing device, the data store associated with the documentation system, the document being stored in the storage format; triggering, via at least one of the one or more computing devices, conversion of a plurality of documents associated with the node from the storage format to a plurality of publication formats in response to storage of the document, the plurality of publication formats configured for presentation on a client; identifying, via at least one of the one or more computing devices, a respective publication format associated with a respective client device; and transmitting, via at least one of the one or more computing devices, the respective publication format to the respective client device. 4. The method of claim 1 , wherein converting the plurality of documentation topics associated with the node from the storage format to the plurality of publication formats further comprise translating individual ones of the plurality of documents into a plurality of foreign languages. | 0.570065 |
1. A method in a computing system, comprising: receiving a formula that, when evaluated with respect to a particular row of each of a plurality of database rows, produces a respective value for a distinguished database field of the particular row, the formula expressed as a method in a distinguished procedural programming language; transforming the formula method into a first syntax tree that defines, for the particular row of each of the plurality of database rows, the respective value for the distinguished database field of the particular row, wherein the transforming is based on the distinguished procedural programming language; traversing the first syntax tree that defines, for the particular row of each of the plurality of database rows, the respective value for the distinguished database field of the particular row, wherein the traversal identifies one or more prohibited language features of the distinguished procedural programming language; generating an error in relation to the identified one or more prohibited language features of the distinguished procedural programming language; receiving a modification to the formula method that excludes the prohibited language features of the distinguished procedural programming language; transforming the modified formula method into a second syntax tree that defines, for the particular row of each of the plurality of database rows, the respective value for the distinguished database field of the particular row; modifying the second syntax tree that defines, for the particular row of each of the plurality of database rows, the respective value for the distinguished database field of the particular row, to provide variable context, field projection, runtimetype dynamic property accessors, and/or field path mapping; and compiling the modified second syntax tree that defines, for the particular row of each of the plurality of database rows, the respective value for the distinguished database field of the particular row, into a second version of the formula method in the distinguished procedural programming language. | 1. A method in a computing system, comprising: receiving a formula that, when evaluated with respect to a particular row of each of a plurality of database rows, produces a respective value for a distinguished database field of the particular row, the formula expressed as a method in a distinguished procedural programming language; transforming the formula method into a first syntax tree that defines, for the particular row of each of the plurality of database rows, the respective value for the distinguished database field of the particular row, wherein the transforming is based on the distinguished procedural programming language; traversing the first syntax tree that defines, for the particular row of each of the plurality of database rows, the respective value for the distinguished database field of the particular row, wherein the traversal identifies one or more prohibited language features of the distinguished procedural programming language; generating an error in relation to the identified one or more prohibited language features of the distinguished procedural programming language; receiving a modification to the formula method that excludes the prohibited language features of the distinguished procedural programming language; transforming the modified formula method into a second syntax tree that defines, for the particular row of each of the plurality of database rows, the respective value for the distinguished database field of the particular row; modifying the second syntax tree that defines, for the particular row of each of the plurality of database rows, the respective value for the distinguished database field of the particular row, to provide variable context, field projection, runtimetype dynamic property accessors, and/or field path mapping; and compiling the modified second syntax tree that defines, for the particular row of each of the plurality of database rows, the respective value for the distinguished database field of the particular row, into a second version of the formula method in the distinguished procedural programming language. 9. The method of claim 1 , further comprising: before transforming the modified formula method into the second syntax tree that defines, for the particular row of each of the plurality of database rows, the respective value for the distinguished database field of the particular row, embedding the modified formula method in a validation template expressed in the distinguished procedural programming language. | 0.540094 |
17. The system of claim 16 , wherein the workflow map is operable to modify a third asset-modifying workflow associated with another asset associated with the contextual identifier. | 17. The system of claim 16 , wherein the workflow map is operable to modify a third asset-modifying workflow associated with another asset associated with the contextual identifier. 18. The system of claim 17 , wherein modifying the third asset-modifying workflow includes one of customizing a set of asset-modifying tools and/or a set of asset-modifying applications. | 0.944411 |
2. The system of claim 1 , wherein the operations comprise commutative operations and non-commutative operations, wherein the seed structure has inputs adapted to receive contributions and wherein the seed structure is adapted to apply commutative operations to the contributions received on each input and to apply commutative or non-commutative operations to the results of the commutative operations applied to said contributions. | 2. The system of claim 1 , wherein the operations comprise commutative operations and non-commutative operations, wherein the seed structure has inputs adapted to receive contributions and wherein the seed structure is adapted to apply commutative operations to the contributions received on each input and to apply commutative or non-commutative operations to the results of the commutative operations applied to said contributions. 15. The system of claim 2 , wherein the seed structure is represented in the context-free grammar as an acyclic oriented graph. | 0.872235 |
38. A computer readable storage medium having stored thereon programming instructions for filtering and securing from input data, one or more security sensitive words, characters or data objects with an adaptive filter in a computer system, said adaptive filter used in conjunction with a compilation of additional data, the instructions comprising: identifying said security sensitive words, characters or data objects in said compilation of additional data; retrieving related data from said compilation of additional data representative of at least one of: contextual characters or data objects related to said security sensitive words, characters or data objects; semiotic words, characters or data objects related to said security sensitive words, characters or data objects; taxonomic words, characters or data objects related to said security sensitive words, characters or data objects; compiling a filter with said security sensitive words, characters or data objects and the retrieved data related to said security sensitive words, characters or data objects; and extracting, from said input data, with said filter, said security sensitive words, characters or data objects and said retrieved data to obtain extracted data and remainder data therefrom; and storing either the extracted data separately from said remainder data or storing partial versions of said extracted data with said remainder data based upon multiple security levels unique to each partial version. | 38. A computer readable storage medium having stored thereon programming instructions for filtering and securing from input data, one or more security sensitive words, characters or data objects with an adaptive filter in a computer system, said adaptive filter used in conjunction with a compilation of additional data, the instructions comprising: identifying said security sensitive words, characters or data objects in said compilation of additional data; retrieving related data from said compilation of additional data representative of at least one of: contextual characters or data objects related to said security sensitive words, characters or data objects; semiotic words, characters or data objects related to said security sensitive words, characters or data objects; taxonomic words, characters or data objects related to said security sensitive words, characters or data objects; compiling a filter with said security sensitive words, characters or data objects and the retrieved data related to said security sensitive words, characters or data objects; and extracting, from said input data, with said filter, said security sensitive words, characters or data objects and said retrieved data to obtain extracted data and remainder data therefrom; and storing either the extracted data separately from said remainder data or storing partial versions of said extracted data with said remainder data based upon multiple security levels unique to each partial version. 39. A computer readable storage medium with programming instructions for filtering and securing data as claimed in claim 38 , including conducting a network search through said compilation of additional data during the retrieval of data. | 0.615461 |
11. A non-transitory processor readable storage medium having a plurality of instructions stored thereon that when executed by a processor, cause the processor to perform operations comprising: identifying, using one or more computing devices, a first set of visits to one or more webpages by a first participant of a social network; determining, using the one or more computing devices, for each of the first set of visits to the one or more webpages, whether the first participant received a social annotation during said each of the first set of the visits to the one or more webpages; identifying, using one or more computing devices, a second set of visits to at least one of the one or more webpages by a second participant of the social network; determining, using the one or more computing devices, whether the second participant received a social annotation during at least one of the second set of visits to the one or more webpages; calculating, using the one or more computing devices, a first total number of missed social annotations for each of the one or more webpages for the first participant of the social network based at least in part on the first set of visits to the one or more webpages and the determined social annotations received during said each of the first set of the visits to the one or more webpages; calculating, using the one or more computing devices, a second total number of missed social annotations for said each of the one or more webpages for the second participant of the social network; determining, using the one or more computing devices, a combined calculation of missed social annotations for said each of the one or more webpages based at least in part on the first total number of missed social annotations for said each of the one or more webpages for the first participant and the second total number of missed social annotations for said each of the one or more webpages for the second participant; generating, using the one or more computing devices, an indication for a third participant of one or more websites for which to provide a social annotation based at least in part on the combined calculation of missed social annotations for said each of the one or more webpages; and providing for display to the third participant, using the one or more computing devices, the indication of one or more websites for which to provide the social annotation. | 11. A non-transitory processor readable storage medium having a plurality of instructions stored thereon that when executed by a processor, cause the processor to perform operations comprising: identifying, using one or more computing devices, a first set of visits to one or more webpages by a first participant of a social network; determining, using the one or more computing devices, for each of the first set of visits to the one or more webpages, whether the first participant received a social annotation during said each of the first set of the visits to the one or more webpages; identifying, using one or more computing devices, a second set of visits to at least one of the one or more webpages by a second participant of the social network; determining, using the one or more computing devices, whether the second participant received a social annotation during at least one of the second set of visits to the one or more webpages; calculating, using the one or more computing devices, a first total number of missed social annotations for each of the one or more webpages for the first participant of the social network based at least in part on the first set of visits to the one or more webpages and the determined social annotations received during said each of the first set of the visits to the one or more webpages; calculating, using the one or more computing devices, a second total number of missed social annotations for said each of the one or more webpages for the second participant of the social network; determining, using the one or more computing devices, a combined calculation of missed social annotations for said each of the one or more webpages based at least in part on the first total number of missed social annotations for said each of the one or more webpages for the first participant and the second total number of missed social annotations for said each of the one or more webpages for the second participant; generating, using the one or more computing devices, an indication for a third participant of one or more websites for which to provide a social annotation based at least in part on the combined calculation of missed social annotations for said each of the one or more webpages; and providing for display to the third participant, using the one or more computing devices, the indication of one or more websites for which to provide the social annotation. 12. The non-transitory processor readable storage medium of claim 11 , further comprising: determining, using the one or more computing devices, a value coefficient for at least one of the one or more webpages. | 0.51354 |
1. A method of database querying, the method comprising: receiving at a computing device an input data query from a requesting source of a plurality of requesting sources, wherein the input data query has input data and an input data type and wherein a first input data query from a first requesting source has a form different from a second input data query from a second requesting source; querying by the computing device a reference database containing validated data, the reference database selected based on the input data type from among a plurality of reference databases, the querying comprising seeking a reference database record that matches the input data; wherein the querying the reference database further comprises seeking a reference database record by applying a set of reference-based mapping rules for matching input data queries from one of the plurality of requesting sources to an associated one of the plurality of reference databases; in response to finding a matching reference database record, applying at least one transformation rule to convert the matching reference database record to a plurality of forms, wherein individual ones of the plurality of forms correspond to individual target databases of a plurality of target databases, and querying by the computing device using at least one of the individual ones of the plurality of forms at least one of the plurality of target databases for one or more target database records that correspond to the reference database record; and retrieving corresponding records comprising target database records that correspond to the reference database record and transferring the corresponding records from the computing device to the requesting source. | 1. A method of database querying, the method comprising: receiving at a computing device an input data query from a requesting source of a plurality of requesting sources, wherein the input data query has input data and an input data type and wherein a first input data query from a first requesting source has a form different from a second input data query from a second requesting source; querying by the computing device a reference database containing validated data, the reference database selected based on the input data type from among a plurality of reference databases, the querying comprising seeking a reference database record that matches the input data; wherein the querying the reference database further comprises seeking a reference database record by applying a set of reference-based mapping rules for matching input data queries from one of the plurality of requesting sources to an associated one of the plurality of reference databases; in response to finding a matching reference database record, applying at least one transformation rule to convert the matching reference database record to a plurality of forms, wherein individual ones of the plurality of forms correspond to individual target databases of a plurality of target databases, and querying by the computing device using at least one of the individual ones of the plurality of forms at least one of the plurality of target databases for one or more target database records that correspond to the reference database record; and retrieving corresponding records comprising target database records that correspond to the reference database record and transferring the corresponding records from the computing device to the requesting source. 2. The method of claim 1 further comprising: in response to failing to find a matching reference database record but finding one or more possibly matching reference database records, determining whether a possibly matching record can be considered a near-matching record to the input data; and in response to identifying a near-matching record, applying at least one transformation rule to convert the near-matching reference database record to a plurality of forms, wherein individual ones of the plurality of forms correspond to individual target databases of a plurality of target databases, and querying using at least one of the individual ones of the plurality of forms at least one of the plurality of target databases for the one or more target database records that correspond to the near-matching record. | 0.561358 |
1. A method of presenting a customized menu item in a menu display of a media application, the method comprising: receiving one or more application packages from a communications network at a computer system, wherein each application package contains one or more resources for customized application pages of the media application; storing the one or more application packages on the computer system in a storage system external to the media application; accessing internal menu markup data of the media application for rendering a set of menu items for the menu display; determining that the internal menu markup data indicates that the set of menu items for the menu display includes one or more built-in menu items installed with the media application, wherein: the internal menu markup data specifies a reference to a built-in application page of the media application for each built-in menu item, and selection of at least one of the built-in menu items launches a built-in application page that provides functionality for browsing and selecting broadcast television content received by the computer system; determining that the internal menu markup data includes a placeholder for an offering tile for a customized menu item within the set of menu items for the menu display, wherein: the customized menu item provides access to online television content, the placeholder references an application package and a resource for a customized application page, and selection of the offering tile for the customized menu item launches the customized application page to provide functionality for browsing and selecting categories of the online television content; searching for the application package and the resource referenced by the placeholder in the storage system external to the media application; if the application package and the resource referenced by the placeholder are found in the storage system external to the media application: accessing the application package referenced by the placeholder from the storage system external to the media application, accessing the resource referenced by the placeholder from the accessed application package, rendering the one or more built-in menu items and the offering tile for the customized menu item in the menu display of the media application, and customizing display of the offering tile for the customized menu item using content from the resource of the accessed application package; and if the application package and the resource referenced by the placeholder are not found in the storage system external to the media application: rendering the one or more built-in menu items in the menu display of the media application, and setting the offering tile for the customized menu item to be hidden from view. | 1. A method of presenting a customized menu item in a menu display of a media application, the method comprising: receiving one or more application packages from a communications network at a computer system, wherein each application package contains one or more resources for customized application pages of the media application; storing the one or more application packages on the computer system in a storage system external to the media application; accessing internal menu markup data of the media application for rendering a set of menu items for the menu display; determining that the internal menu markup data indicates that the set of menu items for the menu display includes one or more built-in menu items installed with the media application, wherein: the internal menu markup data specifies a reference to a built-in application page of the media application for each built-in menu item, and selection of at least one of the built-in menu items launches a built-in application page that provides functionality for browsing and selecting broadcast television content received by the computer system; determining that the internal menu markup data includes a placeholder for an offering tile for a customized menu item within the set of menu items for the menu display, wherein: the customized menu item provides access to online television content, the placeholder references an application package and a resource for a customized application page, and selection of the offering tile for the customized menu item launches the customized application page to provide functionality for browsing and selecting categories of the online television content; searching for the application package and the resource referenced by the placeholder in the storage system external to the media application; if the application package and the resource referenced by the placeholder are found in the storage system external to the media application: accessing the application package referenced by the placeholder from the storage system external to the media application, accessing the resource referenced by the placeholder from the accessed application package, rendering the one or more built-in menu items and the offering tile for the customized menu item in the menu display of the media application, and customizing display of the offering tile for the customized menu item using content from the resource of the accessed application package; and if the application package and the resource referenced by the placeholder are not found in the storage system external to the media application: rendering the one or more built-in menu items in the menu display of the media application, and setting the offering tile for the customized menu item to be hidden from view. 5. The method of claim 1 wherein the resource is a string that labels the offering tile for the customized menu item. | 0.572716 |
1. A method comprising: determining whether a mobile computing device is receiving operating power from an external power source, wherein the mobile computing device has a trigger word detection subroutine that is activatable by a user input and automatically in response to determining that the mobile computing device is receiving external power; and in response to determining that the mobile computing device is receiving operating power from the external power source, activating a trigger word detection subroutine, wherein the trigger word detection subroutine includes: receiving spoken input via a microphone of the mobile computing device, based on speech recognition performed on the spoken input, obtaining text, determining whether the text includes one or more trigger words associated with a voice command prompt application, and in response to determining that the text includes the one or more trigger words associated with the voice command prompt application, launching the voice command prompt application, wherein the voice command prompt application is configured to receive via the microphone additional spoken input that causes the mobile computing device to launch one or more other applications, and wherein launching the voice command prompt application comprises displaying a voice command prompt on the mobile computing device. | 1. A method comprising: determining whether a mobile computing device is receiving operating power from an external power source, wherein the mobile computing device has a trigger word detection subroutine that is activatable by a user input and automatically in response to determining that the mobile computing device is receiving external power; and in response to determining that the mobile computing device is receiving operating power from the external power source, activating a trigger word detection subroutine, wherein the trigger word detection subroutine includes: receiving spoken input via a microphone of the mobile computing device, based on speech recognition performed on the spoken input, obtaining text, determining whether the text includes one or more trigger words associated with a voice command prompt application, and in response to determining that the text includes the one or more trigger words associated with the voice command prompt application, launching the voice command prompt application, wherein the voice command prompt application is configured to receive via the microphone additional spoken input that causes the mobile computing device to launch one or more other applications, and wherein launching the voice command prompt application comprises displaying a voice command prompt on the mobile computing device. 6. The method of claim 1 , wherein the external power source is one of a charger associated with the mobile computing device and a docking station for the mobile computing device. | 0.602505 |
1. A method for producing at least one application description, the method which comprises: reading-in at least one basic document into a computer; analyzing the at least one basic document and thereby constructing a knowledge base with knowledge elements, the knowledge elements thus recognized being at least one data field and/or at least one component, and flagging the knowledge elements at least partly as assumptions; determining at least one conflict-free knowledge partition having a respective set of conflict-free assumptions; producing the at least one application description with a plurality of application blocks from the at least one knowledge partition with the application blocks, and for the purpose of determining the finalized knowledge partitions, generating a graph having nodes and directional and nondirectional edges, wherein the nodes correspond to the assumptions and the directional edges correspond to the prerequisites for the respective assumptions and the nondirectional edges correspond to conflicts between the assumptions. | 1. A method for producing at least one application description, the method which comprises: reading-in at least one basic document into a computer; analyzing the at least one basic document and thereby constructing a knowledge base with knowledge elements, the knowledge elements thus recognized being at least one data field and/or at least one component, and flagging the knowledge elements at least partly as assumptions; determining at least one conflict-free knowledge partition having a respective set of conflict-free assumptions; producing the at least one application description with a plurality of application blocks from the at least one knowledge partition with the application blocks, and for the purpose of determining the finalized knowledge partitions, generating a graph having nodes and directional and nondirectional edges, wherein the nodes correspond to the assumptions and the directional edges correspond to the prerequisites for the respective assumptions and the nondirectional edges correspond to conflicts between the assumptions. 34. The method according to claim 1 , wherein the basic documents are charts and/or presentation files, and the method comprises producing for each chart a tuple of data fields and a component which encompasses all data fields. | 0.605694 |
1. A computer-implemented method, comprising: accessing a plurality of computer-implemented directionally distinct relationships among a plurality of computer-implemented objects, wherein the plurality of computer-implemented objects do not represent users of a computer-implemented system; inferring automatically a first expertise level of a first person who is a first user of a computer-implemented system from one or more usage behaviors; selecting one or more computer-implemented objects of the plurality of computer-implemented objects, wherein the selecting is performed by a computer-implemented function executed on a processor-based device in accordance with the first expertise level and at least one of the plurality of the computer-implemented directionally distinct relationships; and delivering the one or more computer-implemented objects to the first person. | 1. A computer-implemented method, comprising: accessing a plurality of computer-implemented directionally distinct relationships among a plurality of computer-implemented objects, wherein the plurality of computer-implemented objects do not represent users of a computer-implemented system; inferring automatically a first expertise level of a first person who is a first user of a computer-implemented system from one or more usage behaviors; selecting one or more computer-implemented objects of the plurality of computer-implemented objects, wherein the selecting is performed by a computer-implemented function executed on a processor-based device in accordance with the first expertise level and at least one of the plurality of the computer-implemented directionally distinct relationships; and delivering the one or more computer-implemented objects to the first person. 2. The method of claim 1 , further comprising: accessing the plurality of computer-implemented directionally distinct relationships among the plurality of computer-implemented objects in accordance with a first computer-implemented object of the plurality of computer-implemented objects being identified as a context for the accessing. | 0.561243 |
1. A voice processing method, comprising: receiving an utterance; comparing the utterance with a corresponding utterance in teaching materials according to at least one matching algorithm to obtain a plurality of matching values corresponding to a plurality of voice units of the utterance; scoring the respective voice units in at least one first scoring item according to the matching values corresponding to the respective voice units; scoring the utterance in at least one second scoring item according to the scores of the respective voice units in the first scoring item; and scoring the utterance in the second scoring item according to the scores of the respective voice units in the first scoring item and at least one personified voice scoring algorithm for the second scoring item, wherein the method for generating the personified voice scoring algorithm for the second scoring item comprises the steps of: receiving training utterances corresponding to at least one training sentence in a phonetic-balanced sentence set produced by a plurality of learners and at least one real teacher; comparing the training utterances of the learners and that of the real teacher according to at least one matching algorithm to obtain a plurality of matching values corresponding to a plurality of voice units of the training utterances; receiving scores corresponding to the respective voice units of the training utterances of the learners in the first scoring item provided by the real teacher; receiving scores corresponding to the training utterances of the learners in the second scoring item provided by the real teacher; and determining the personified voice scoring algorithm for the second scoring item according to the scores corresponding to the respective voice units of the training utterances in the first scoring item and the scores corresponding to the training utterances in the second scoring item. | 1. A voice processing method, comprising: receiving an utterance; comparing the utterance with a corresponding utterance in teaching materials according to at least one matching algorithm to obtain a plurality of matching values corresponding to a plurality of voice units of the utterance; scoring the respective voice units in at least one first scoring item according to the matching values corresponding to the respective voice units; scoring the utterance in at least one second scoring item according to the scores of the respective voice units in the first scoring item; and scoring the utterance in the second scoring item according to the scores of the respective voice units in the first scoring item and at least one personified voice scoring algorithm for the second scoring item, wherein the method for generating the personified voice scoring algorithm for the second scoring item comprises the steps of: receiving training utterances corresponding to at least one training sentence in a phonetic-balanced sentence set produced by a plurality of learners and at least one real teacher; comparing the training utterances of the learners and that of the real teacher according to at least one matching algorithm to obtain a plurality of matching values corresponding to a plurality of voice units of the training utterances; receiving scores corresponding to the respective voice units of the training utterances of the learners in the first scoring item provided by the real teacher; receiving scores corresponding to the training utterances of the learners in the second scoring item provided by the real teacher; and determining the personified voice scoring algorithm for the second scoring item according to the scores corresponding to the respective voice units of the training utterances in the first scoring item and the scores corresponding to the training utterances in the second scoring item. 5. The method of claim 1 , wherein the second scoring item comprises the phoneme correctness, the pitch correctness, or the phone-speed correctness for the voice. | 0.663408 |
2. The method of claim 1 , further comprising extracting a preset number of search results from the plurality of search results. | 2. The method of claim 1 , further comprising extracting a preset number of search results from the plurality of search results. 3. The method of claim 2 , wherein the preset number of search results comprises at least one search result from each classification of the plurality of classifications. | 0.88178 |
11. A system for accessing an out-space user interface for a program, comprising: a processor; a display; and a memory having computer-executable instructions stored thereon, wherein the computer-executable instructions are configured to: display a document editor including an in-space actuator and an out-space actuator; in response to receiving a selection of the in-space actuator, display the in-space user interface comprising an in-space user interface area comprising in-space user interface elements and a document display area to display a document, wherein the in-space user interface area comprises a ribbon comprising ribbon tabs and authoring features for authoring the content of the document; and in response to receiving a selection of the out-space actuator, remove at least a portion of the in-space user interface elements displayed in the in-space user interface area, and display the out-space user interface within the document display area, the out-space user interface comprising out-space user interface elements that when selected do not affect the content of the document, and wherein the out-space user interface elements include non-authoring features associated with the document in the document display area. | 11. A system for accessing an out-space user interface for a program, comprising: a processor; a display; and a memory having computer-executable instructions stored thereon, wherein the computer-executable instructions are configured to: display a document editor including an in-space actuator and an out-space actuator; in response to receiving a selection of the in-space actuator, display the in-space user interface comprising an in-space user interface area comprising in-space user interface elements and a document display area to display a document, wherein the in-space user interface area comprises a ribbon comprising ribbon tabs and authoring features for authoring the content of the document; and in response to receiving a selection of the out-space actuator, remove at least a portion of the in-space user interface elements displayed in the in-space user interface area, and display the out-space user interface within the document display area, the out-space user interface comprising out-space user interface elements that when selected do not affect the content of the document, and wherein the out-space user interface elements include non-authoring features associated with the document in the document display area. 18. The system of claim 11 , wherein displaying the out-space user interface comprises converting the document to a document image and displaying the document image within the out-space user interface. | 0.591175 |
13. The system of claim 12 wherein said unique expandable container image includes the phrase and a decoration. | 13. The system of claim 12 wherein said unique expandable container image includes the phrase and a decoration. 18. The system of claim 13 wherein the decoration comprises a color through which the phrase is readable. | 0.978468 |
1. A method for querying a durably stored collection of XML documents, the method comprising: storing said collection of XML documents in one or more base database structures managed by a database system for storing said collection of XML documents; wherein each XML document of said collection of XML documents is stored, within the one or more base database structures, in an unshredded form; based on pattern data that indicates elements defined for a particular XML document type, creating a table for the particular XML document type separate from said one or more base database structures in which said collection of XML documents are stored; wherein said table includes a plurality of columns; wherein each column of said plurality of columns corresponds to a different element indicated in the pattern data; wherein each column contains only values of the element of the XML document type to which the column corresponds; wherein each row of said table corresponds to a corresponding XML document in said collection; wherein each row of said table stores values for elements from the corresponding XML document; wherein said pattern data indicates, for each column of said plurality of columns, the different element, of the particular XML document type, that corresponds to the column; using said table to answer a first query requesting data from said collection of XML documents; responding to said first query without accessing said one or more base database structures; and responding to a second query requesting data from said collection of XML documents by providing one or more unshredded XML documents from said one or more base database structures; wherein said method is performed by one or more computing devices. | 1. A method for querying a durably stored collection of XML documents, the method comprising: storing said collection of XML documents in one or more base database structures managed by a database system for storing said collection of XML documents; wherein each XML document of said collection of XML documents is stored, within the one or more base database structures, in an unshredded form; based on pattern data that indicates elements defined for a particular XML document type, creating a table for the particular XML document type separate from said one or more base database structures in which said collection of XML documents are stored; wherein said table includes a plurality of columns; wherein each column of said plurality of columns corresponds to a different element indicated in the pattern data; wherein each column contains only values of the element of the XML document type to which the column corresponds; wherein each row of said table corresponds to a corresponding XML document in said collection; wherein each row of said table stores values for elements from the corresponding XML document; wherein said pattern data indicates, for each column of said plurality of columns, the different element, of the particular XML document type, that corresponds to the column; using said table to answer a first query requesting data from said collection of XML documents; responding to said first query without accessing said one or more base database structures; and responding to a second query requesting data from said collection of XML documents by providing one or more unshredded XML documents from said one or more base database structures; wherein said method is performed by one or more computing devices. 2. The method of claim 1 , further comprising: receiving a new XML document to store in said collection of XML documents; extracting a new set of values from the new XML document, wherein each value in said set of new values corresponds to a different element indicated in the pattern data; populating each column of said plurality of columns from said table with the new set of values extracted from the new XML document. | 0.521173 |
5. An electronic translator according to claim 4, wherein said input means includes means for designating translation of the first language to the second language. | 5. An electronic translator according to claim 4, wherein said input means includes means for designating translation of the first language to the second language. 6. An electronic translator according to claim 5, wherein said arranging means is operative in response to said designating means. | 0.912809 |
11. The word boundary probability estimating method according to claim 7 , further comprising the step of calculating the probability that a word boundary exists on the basis of a decision tree in which relations between a plurality of characters constituting a word n-gram are described or on the basis of Prediction by Partial Match (PPM), the probability being a word n-gram probability, thereby constituting a probabilistic language model building method. | 11. The word boundary probability estimating method according to claim 7 , further comprising the step of calculating the probability that a word boundary exists on the basis of a decision tree in which relations between a plurality of characters constituting a word n-gram are described or on the basis of Prediction by Partial Match (PPM), the probability being a word n-gram probability, thereby constituting a probabilistic language model building method. 13. The word boundary probability estimating method according to claim 11 , further comprising the steps of: referring to the character string which is segmented into at least two words each word including at least one character, and storing an occurrence probability indicating the likelihood of occurrence of each of the segmented words in association with the segmented word; referring to the second corpus further storing a word n-gram probability calculated by a probabilistic language model building device according to the probabilistic language model building method; referring to a vocabulary dictionary storing, correspondingly to the first corpus, pronunciations associated with each of words segmented as known words; referring to a character dictionary storing, correspondingly to the first corpus, pronunciations and spelling of each character in a plurality of conversion candidates that can be converted from an unknown word in association with each other so that that the plurality of conversion candidates can be listed for the unknown word and storing the occurrence probability of a pronunciation of each character; and converting a input spelling into a conversion candidate by referring to the occurrence probabilities associated with each word stored in the first corpus and the occurrence probabilities of pronunciations of each character stored in the character dictionary, and the word n-gram probability stored in the second corpus for an input pronunciation, thereby forming a kana-kanji conversion method. | 0.574321 |
30. A system to estimate performance of a model to filter documents according to quality comprising: A) a storage device; B) at least one processor to implement the following steps: C) obtaining from the storage device a set of documents labeled according to content quality; D) extracting and representing features from the set of documents; E) modifying the extracted represented features; F) constructing models to estimate performance for labeling documents based on content quality using pattern recognition algorithms stored in the storage device consisting of the following steps; 1) dividing the set of documents into N subsets such that the union of all the subsets is the set of documents; 2) processing each of the N subsets comprising the following steps: a) defining a first set of documents, a second set of documents, and a third set of documents in the subset; b) choosing at least one pattern recognition algorithm; i) instantiating a set of parameters for the pattern recognition algorithm; a′) training the pattern recognition algorithm to build a model using the first set of documents and the parameter set; b′) applying the model to the second set of documents to obtain labels and scores for each document; c′) evaluating the labels and scores; d′) storing the evaluation measure, set of parameters, and current pattern recognition algorithm; and e′) repeating step i) until all appropriate sets of parameters for the pattern recognition algorithm have been applied; and c) repeating step 2b) until all pattern recognition algorithm have been applied; d) aggregating the evaluation measures, the pattern recognition algorithms with the set of parameters; e) selecting the parameter set and pattern recognition algorithm with an aggregate evaluation measure that meets a selection criteria; f) applying the parameter set and the pattern recognition algorithm identified from step e) to the union of the first and second subset to form an intermediate final model; g) applying the intermediate final model to the third set of documents to obtain labels and scores for each document; h) evaluating the labels and scores; i) storing the intermediate evaluation measure; j) repeating step 2 until all subsets have been applied; and 3) aggregating the intermediate evaluation measures to form an aggregate evaluation measure; and 4) displaying the aggregate evaluation measure as the estimated performance. | 30. A system to estimate performance of a model to filter documents according to quality comprising: A) a storage device; B) at least one processor to implement the following steps: C) obtaining from the storage device a set of documents labeled according to content quality; D) extracting and representing features from the set of documents; E) modifying the extracted represented features; F) constructing models to estimate performance for labeling documents based on content quality using pattern recognition algorithms stored in the storage device consisting of the following steps; 1) dividing the set of documents into N subsets such that the union of all the subsets is the set of documents; 2) processing each of the N subsets comprising the following steps: a) defining a first set of documents, a second set of documents, and a third set of documents in the subset; b) choosing at least one pattern recognition algorithm; i) instantiating a set of parameters for the pattern recognition algorithm; a′) training the pattern recognition algorithm to build a model using the first set of documents and the parameter set; b′) applying the model to the second set of documents to obtain labels and scores for each document; c′) evaluating the labels and scores; d′) storing the evaluation measure, set of parameters, and current pattern recognition algorithm; and e′) repeating step i) until all appropriate sets of parameters for the pattern recognition algorithm have been applied; and c) repeating step 2b) until all pattern recognition algorithm have been applied; d) aggregating the evaluation measures, the pattern recognition algorithms with the set of parameters; e) selecting the parameter set and pattern recognition algorithm with an aggregate evaluation measure that meets a selection criteria; f) applying the parameter set and the pattern recognition algorithm identified from step e) to the union of the first and second subset to form an intermediate final model; g) applying the intermediate final model to the third set of documents to obtain labels and scores for each document; h) evaluating the labels and scores; i) storing the intermediate evaluation measure; j) repeating step 2 until all subsets have been applied; and 3) aggregating the intermediate evaluation measures to form an aggregate evaluation measure; and 4) displaying the aggregate evaluation measure as the estimated performance. 37. A process according to claim 30 in step C wherein the selected set of documents is comprised of web pages. | 0.538141 |
1. A method for enabling at least one transactional application to search, the method comprising: creating a first canonical object associated with a first transactional application; creating a second canonical object associated with a second transactional application; indexing first and second data associated with the first transactional application to enable the first transactional application to be searched, wherein the first and second data is received via the first transactional application, and the first data is different from the second data; indexing third data associated with the second transactional application to enable the second transactional application to be searched, wherein the third data is received via the second transactional application, the first and second data is not accessible to the second transactional application, and the third data is not accessible to the first transactional application; creating an index store using information associated with the first and second canonical objects, wherein the index store is associated with the indexed first, second, and third data; interfacing a semantic engine with the index store; providing a query to the semantic engine, the query having a first format, wherein the semantic engine is arranged to translate the query from the first format into a second format, the second format being associated with a search engine; accessing the index store using the search engine; determining if a result associated with the query having the second format is indicated in the index store; and displaying a result associated with the query. | 1. A method for enabling at least one transactional application to search, the method comprising: creating a first canonical object associated with a first transactional application; creating a second canonical object associated with a second transactional application; indexing first and second data associated with the first transactional application to enable the first transactional application to be searched, wherein the first and second data is received via the first transactional application, and the first data is different from the second data; indexing third data associated with the second transactional application to enable the second transactional application to be searched, wherein the third data is received via the second transactional application, the first and second data is not accessible to the second transactional application, and the third data is not accessible to the first transactional application; creating an index store using information associated with the first and second canonical objects, wherein the index store is associated with the indexed first, second, and third data; interfacing a semantic engine with the index store; providing a query to the semantic engine, the query having a first format, wherein the semantic engine is arranged to translate the query from the first format into a second format, the second format being associated with a search engine; accessing the index store using the search engine; determining if a result associated with the query having the second format is indicated in the index store; and displaying a result associated with the query. 3. The method of claim 1 wherein indexing the data comprises using crawlers to crawl the first and second transactional applications to obtain the first and third data. | 0.695046 |
10. A non-transitory computer-readable medium that includes a computer program, which, when executed by a processing system at a client causes the processing system to: receive a user query for selecting data from a database that is accessible via a plurality of database servers; parse the user query to identify a skeletal query form corresponding to the user query and one or more arguments associated with the user query, and to identify a target database server among the plurality of database servers based on the skeletal query form and the one or more arguments; determine whether a compiled skeletal query corresponding to the identified skeletal query form is available at the target database server, the compiled skeletal query including machine code that is executable directly by the processing system, and, if the compiled skeletal query is available at the target database server: communicate the user query and one or more arguments associated with the user query to the target database server; receiving results of executing machine code corresponding to the compiled skeletal query at the database server using the one or more arguments associated with the user query; and providing the results in response to the user query; and if the compiled skeletal query is not available at the target database server: provide the compiled skeletal query to the target database server. | 10. A non-transitory computer-readable medium that includes a computer program, which, when executed by a processing system at a client causes the processing system to: receive a user query for selecting data from a database that is accessible via a plurality of database servers; parse the user query to identify a skeletal query form corresponding to the user query and one or more arguments associated with the user query, and to identify a target database server among the plurality of database servers based on the skeletal query form and the one or more arguments; determine whether a compiled skeletal query corresponding to the identified skeletal query form is available at the target database server, the compiled skeletal query including machine code that is executable directly by the processing system, and, if the compiled skeletal query is available at the target database server: communicate the user query and one or more arguments associated with the user query to the target database server; receiving results of executing machine code corresponding to the compiled skeletal query at the database server using the one or more arguments associated with the user query; and providing the results in response to the user query; and if the compiled skeletal query is not available at the target database server: provide the compiled skeletal query to the target database server. 16. The medium of claim 10 , wherein the user query includes a search of the database for records having a parameter value equal to one or more user identified values, and the one or more arguments of the user query include the one or more user identified values. | 0.570517 |
2. The method of claim 1 , wherein at least one of the plurality of resources comprises a data storage, wherein the set of property descriptions of the JSON file comprises a description of the data storage that enables the JS object to retrieve data from the data storage. | 2. The method of claim 1 , wherein at least one of the plurality of resources comprises a data storage, wherein the set of property descriptions of the JSON file comprises a description of the data storage that enables the JS object to retrieve data from the data storage. 4. The method of claim 2 , wherein the description of the data storage includes a set of attributes that identify the data storage in terms of at least two of the following: data storage location, name, fields, and field attributes. | 0.875981 |
1. A process to describe vertical sequences of rocks using gestures, comprising: using a device with touchscreen, gesture recognition and multi-touch support to open a system that provides standardized vocabulary and icons, digital keyboard and the following columns: Context ( 1 ), Visible ( 2 ), Box ( 3 ), Particle Size ( 4 ), Color ( 5 ), Facies ( 6 ), Lithology ( 7 ), Structure ( 8 ), Fossil ( 9 ), Sorting ( 10 ), Roundness ( 11 ), Sphericity ( 12 ), Notes ( 13 ), Bioturbated Index ( 14 ), Organic Matter Content ( 15 ) and Hydrocarbon Level ( 16 ): selecting new description; entering a total length of a sample of vertical sequences of rocks; inserting initial and final depths of the sample of vertical sequences of rocks; inserting a new interval in a Visible column ( 2 ); choosing a type of rock in a Lithology column ( 7 ); inserting a particle size in a Particle Size column ( 4 ); inserting a type of rock structure in a Structure column ( 8 ); inserting a rock color in a Color column ( 5 ); inserting types of fossil in a Fossil column ( 9 ); inserting data in a Sorting column ( 10 ); inserting interval roundness in a Roundness column ( 11 ); inserting interval sphericity in a Sphericity column ( 12 ); inserting contents of organic matter present in a sample in an Organic Matter Content column ( 15 ); inserting bioturbation index in an interval in a Bioturbated Index column ( 14 ); inserting a hydrocarbon level in an interval in a Hydrocarbon Level column ( 16 ); inserting notes in a Notes column ( 13 ); inserting a code for an interval in a Facies column ( 6 ); changing a box size and a code where a sample is in a Box column ( 3 ); inserting a contact between intervals; optionally, inserting a new interval and repeating the whole process; and generating a report for data analysis. | 1. A process to describe vertical sequences of rocks using gestures, comprising: using a device with touchscreen, gesture recognition and multi-touch support to open a system that provides standardized vocabulary and icons, digital keyboard and the following columns: Context ( 1 ), Visible ( 2 ), Box ( 3 ), Particle Size ( 4 ), Color ( 5 ), Facies ( 6 ), Lithology ( 7 ), Structure ( 8 ), Fossil ( 9 ), Sorting ( 10 ), Roundness ( 11 ), Sphericity ( 12 ), Notes ( 13 ), Bioturbated Index ( 14 ), Organic Matter Content ( 15 ) and Hydrocarbon Level ( 16 ): selecting new description; entering a total length of a sample of vertical sequences of rocks; inserting initial and final depths of the sample of vertical sequences of rocks; inserting a new interval in a Visible column ( 2 ); choosing a type of rock in a Lithology column ( 7 ); inserting a particle size in a Particle Size column ( 4 ); inserting a type of rock structure in a Structure column ( 8 ); inserting a rock color in a Color column ( 5 ); inserting types of fossil in a Fossil column ( 9 ); inserting data in a Sorting column ( 10 ); inserting interval roundness in a Roundness column ( 11 ); inserting interval sphericity in a Sphericity column ( 12 ); inserting contents of organic matter present in a sample in an Organic Matter Content column ( 15 ); inserting bioturbation index in an interval in a Bioturbated Index column ( 14 ); inserting a hydrocarbon level in an interval in a Hydrocarbon Level column ( 16 ); inserting notes in a Notes column ( 13 ); inserting a code for an interval in a Facies column ( 6 ); changing a box size and a code where a sample is in a Box column ( 3 ); inserting a contact between intervals; optionally, inserting a new interval and repeating the whole process; and generating a report for data analysis. 6. The process to describe vertical sequences of rocks using gestures according to claim 1 , wherein the choosing step includes choosing lithology with a touch on an area in the Lithology column ( 7 ), followed by a touch on a desired option from a list of available attributes. | 0.517812 |
25. A non-transitory computer readable storage medium storing at least one program configured for execution by at least one processor of a computer system, the at least one program comprising instructions to: conditionally confirm entity authorship of a first document hosted on a first website of a first domain, the first document including an authorship identifier associated with the domain and unique to the entity but not the first document when: (i) a profile for the entity is associated with the first domain and with the authorship identifier, and (ii) the profile for the entity includes a confirmation status indicates that the entity has confirmed that the authorship identifier is included in documents authored by the entity that are hosted on the first website of the first domain; responsive to confirming authorship of the first document by the entity, permit application of a confirmed authorship process to the first document; and responsive to failing to confirm authorship of the first document by the entity, bar application of the confirmed authorship process to the first document. | 25. A non-transitory computer readable storage medium storing at least one program configured for execution by at least one processor of a computer system, the at least one program comprising instructions to: conditionally confirm entity authorship of a first document hosted on a first website of a first domain, the first document including an authorship identifier associated with the domain and unique to the entity but not the first document when: (i) a profile for the entity is associated with the first domain and with the authorship identifier, and (ii) the profile for the entity includes a confirmation status indicates that the entity has confirmed that the authorship identifier is included in documents authored by the entity that are hosted on the first website of the first domain; responsive to confirming authorship of the first document by the entity, permit application of a confirmed authorship process to the first document; and responsive to failing to confirm authorship of the first document by the entity, bar application of the confirmed authorship process to the first document. 33. The non-transitory computer readable storage medium of claim 25 , wherein the profile is a profile web-page hosted at the first domain wherein the authorship of the first document is confirmed and the confirmed authorship process comprises adding the first document to the profile web-page for the entity. | 0.520982 |
11. A computer-implemented system for providing default hierarchical training for social indexing, comprising: an electronic database, comprising: articles of digital information maintained for social indexing; and a hierarchically-structured tree of topics, which each comprise a label comprising one or more words; a processor and memory within which code for execution by the processor is stored, further comprising: an electronically-stored rules set identifying hard constraints based on the labels comprised in the topic tree and the topic tree's hierarchical structure, wherein the hard constraints are defined to include required immutable rules comprising at least one of: that a topic model comprises a single term comprised from a label that is duplicated within the topic tree; that a topic model includes no term from the label for the topic to which the topic model belongs; and when the label is duplicated within the topic tree, that a topic model includes no term from the label of a parent topic for the topic to which the topic model belongs; a topic builder module that, for each topic in the topic tree, creates a topic model subject to the hard constraints, the topic model comprising a finite state pattern that comprises a pattern evaluable against the articles; and an evaluator module evaluating the topic models for the topic tree against the hard constraints, and disfavoring those topic models that violate one or more of the immutable rules; and a user interface visually identifying for each topic, the topic model, which best satisfies the constraints. | 11. A computer-implemented system for providing default hierarchical training for social indexing, comprising: an electronic database, comprising: articles of digital information maintained for social indexing; and a hierarchically-structured tree of topics, which each comprise a label comprising one or more words; a processor and memory within which code for execution by the processor is stored, further comprising: an electronically-stored rules set identifying hard constraints based on the labels comprised in the topic tree and the topic tree's hierarchical structure, wherein the hard constraints are defined to include required immutable rules comprising at least one of: that a topic model comprises a single term comprised from a label that is duplicated within the topic tree; that a topic model includes no term from the label for the topic to which the topic model belongs; and when the label is duplicated within the topic tree, that a topic model includes no term from the label of a parent topic for the topic to which the topic model belongs; a topic builder module that, for each topic in the topic tree, creates a topic model subject to the hard constraints, the topic model comprising a finite state pattern that comprises a pattern evaluable against the articles; and an evaluator module evaluating the topic models for the topic tree against the hard constraints, and disfavoring those topic models that violate one or more of the immutable rules; and a user interface visually identifying for each topic, the topic model, which best satisfies the constraints. 19. A system according to claim 11 , wherein each topic model comprises one of a conjunction and an n-gram, which are both comprised of the same terms as in the label for the topic to which the topic model belongs. | 0.581159 |
4. A distributed system operating in a plurality of computer systems providing message-based services defined in a service registry, the system comprising: at least one processor operable to execute computer readable instructions embodied on non-transitory media; a graphical user interface executable by the at least one processor and comprising computer readable instructions, embedded on non-transitory media, for a request for processing an export declaration using a request; a first memory storing a user interface controller executable by the at least one processor for processing the request and involving a message including a message package derived from a common business object model, where the common business object model includes business objects having relationships that enable derivation of message-based service interfaces and message packages, the message package hierarchically organized as: an export declaration processing request message header entity; and an export declaration package, where the export declaration package includes an export declaration entity, a custom authorization package, and a customs office package, where the export declaration entity includes an export message subtype code, an export message identification (ID), a customs authority country code, and a major version customs authority ID, where the custom authorization package includes at least one customs authorization entity, each customs authorization entity including a customer authorization type code and a customs authorization ID, and where the customs office package includes at least one customs office entity; and a second memory, remote from the graphical user interface, storing a plurality of message-based service interfaces executable by the at least one processor and derived from the common business object model to provide consistent semantics with messages derived from the common business object model, where one of the message-based service interfaces processes the message according to the hierarchical organization of the message package, where processing the message includes unpacking the first message package based on the common business object model. | 4. A distributed system operating in a plurality of computer systems providing message-based services defined in a service registry, the system comprising: at least one processor operable to execute computer readable instructions embodied on non-transitory media; a graphical user interface executable by the at least one processor and comprising computer readable instructions, embedded on non-transitory media, for a request for processing an export declaration using a request; a first memory storing a user interface controller executable by the at least one processor for processing the request and involving a message including a message package derived from a common business object model, where the common business object model includes business objects having relationships that enable derivation of message-based service interfaces and message packages, the message package hierarchically organized as: an export declaration processing request message header entity; and an export declaration package, where the export declaration package includes an export declaration entity, a custom authorization package, and a customs office package, where the export declaration entity includes an export message subtype code, an export message identification (ID), a customs authority country code, and a major version customs authority ID, where the custom authorization package includes at least one customs authorization entity, each customs authorization entity including a customer authorization type code and a customs authorization ID, and where the customs office package includes at least one customs office entity; and a second memory, remote from the graphical user interface, storing a plurality of message-based service interfaces executable by the at least one processor and derived from the common business object model to provide consistent semantics with messages derived from the common business object model, where one of the message-based service interfaces processes the message according to the hierarchical organization of the message package, where processing the message includes unpacking the first message package based on the common business object model. 5. The distributed system of claim 4 , wherein the first memory is remote from the graphical user interface. | 0.868659 |
1. A computer-implemented method of automatically selecting and typing a subset of available family members for DNA profiling to a missing person to identify or exclude a typed unknown biological specimen for implementation on computer apparatus comprising a processor, an input device coupled to the processor, an output device coupled to the processor and a memory for storing profile data obtained from said typed unknown biological specimen coupled to the processor, the method comprising: (a) storing relationships in said memory between said missing person and said available family members in a pedigree via said input device; (b) using the relative discriminating power of the pedigree with at least two combinations of said available family members to automatically select a combination of available family members for DNA typing; (c) using a selected DNA typing technology for typing the automatically selected combination of available family members to obtain DNA profile data and storing said DNA profile data for said automatically selected combination in said memory; (d) using the pedigree and said stored DNA profile data of said automatically selected combination to calculate a likelihood function value using an adaptation of an Elston Stewart algorithm between the stored profile data obtained from said typed unknown biological specimen and said stored profile data for said automatically selected combination of available family members via said processor; and (e) outputting a decision whether said typed unknown biological specimen originates from said missing person and said pedigree or to exclude said typed unknown biological specimen as unrelated to the pedigree. | 1. A computer-implemented method of automatically selecting and typing a subset of available family members for DNA profiling to a missing person to identify or exclude a typed unknown biological specimen for implementation on computer apparatus comprising a processor, an input device coupled to the processor, an output device coupled to the processor and a memory for storing profile data obtained from said typed unknown biological specimen coupled to the processor, the method comprising: (a) storing relationships in said memory between said missing person and said available family members in a pedigree via said input device; (b) using the relative discriminating power of the pedigree with at least two combinations of said available family members to automatically select a combination of available family members for DNA typing; (c) using a selected DNA typing technology for typing the automatically selected combination of available family members to obtain DNA profile data and storing said DNA profile data for said automatically selected combination in said memory; (d) using the pedigree and said stored DNA profile data of said automatically selected combination to calculate a likelihood function value using an adaptation of an Elston Stewart algorithm between the stored profile data obtained from said typed unknown biological specimen and said stored profile data for said automatically selected combination of available family members via said processor; and (e) outputting a decision whether said typed unknown biological specimen originates from said missing person and said pedigree or to exclude said typed unknown biological specimen as unrelated to the pedigree. 4. The method of claim 1 wherein said adaptation of the Elston Stewart algorithm comprises a penetrance term representing a probability of a mutation of an allele. | 0.597163 |
1. A data unification device for unifying unstructured data objects and structured data objects into unified semantic objects, the device comprising: a retrieving entity configured to retrieve unstructured data objects from a number of unstructured knowledge bases and structured data objects from a number of structured knowledge bases; a first providing entity configured to provide a number of syntactic frames for each retrieved data object, wherein each syntactic frame of the first providing entity comprises a syntactic concept, a syntactic concept-instance, and a syntactic concept-instance relationship; a second providing entity configured to provide a number of semantic frames for each retrieved data object, wherein each semantic frame of the second providing entity comprises a semantic concept, a semantic concept-instance, and a semantic concept-instance relationship; and an assembling entity configured to assemble, for each retrieved data object, the provided syntactic frames of the first providing entity and the provided semantic frames of the second providing entity into a single unified semantic object, wherein the assembling entity is configured to store each unified semantic object, therein providing unified data access for the retrieved data objects. | 1. A data unification device for unifying unstructured data objects and structured data objects into unified semantic objects, the device comprising: a retrieving entity configured to retrieve unstructured data objects from a number of unstructured knowledge bases and structured data objects from a number of structured knowledge bases; a first providing entity configured to provide a number of syntactic frames for each retrieved data object, wherein each syntactic frame of the first providing entity comprises a syntactic concept, a syntactic concept-instance, and a syntactic concept-instance relationship; a second providing entity configured to provide a number of semantic frames for each retrieved data object, wherein each semantic frame of the second providing entity comprises a semantic concept, a semantic concept-instance, and a semantic concept-instance relationship; and an assembling entity configured to assemble, for each retrieved data object, the provided syntactic frames of the first providing entity and the provided semantic frames of the second providing entity into a single unified semantic object, wherein the assembling entity is configured to store each unified semantic object, therein providing unified data access for the retrieved data objects. 8. The device of claim 1 , wherein the second providing entity is configured to identify semantic information from each retrieved data object of the retrieved data objects by applying at least one of the following algorithms: knowledge base concept references, semantic concept references, syntax relationship references, or degree of probability. | 0.522121 |
21. A machine-implemented method for retrieving multimedia information, comprising: providing separate and independently accessible retrieval paths, at least one of said paths including: a textual search entry path configured to enable entry of one or more terms to search for in at least a portion of textual information stored on a computer-readable storage medium, wherein the textual search entry path is operable to access a stem index including a plurality of stems that are each associated with textual information and one or more related stems, the stems being concatenated in order to map each stem to other stems and to textual information that express a similar idea; and searching the textual information using the stem index for textual information that closely resembles a search inquiry comprising one or more terms entered in the textual search entry path. | 21. A machine-implemented method for retrieving multimedia information, comprising: providing separate and independently accessible retrieval paths, at least one of said paths including: a textual search entry path configured to enable entry of one or more terms to search for in at least a portion of textual information stored on a computer-readable storage medium, wherein the textual search entry path is operable to access a stem index including a plurality of stems that are each associated with textual information and one or more related stems, the stems being concatenated in order to map each stem to other stems and to textual information that express a similar idea; and searching the textual information using the stem index for textual information that closely resembles a search inquiry comprising one or more terms entered in the textual search entry path. 29. The method of claim 21 , further comprising highlighting one or more terms from the search inquiry in the results to set them off from terms not in the search inquiry. | 0.596746 |
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