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7. The method of claim 6 , wherein identifying one or more candidate clusters of observations responsive to the generated query comprises: identifying one or more candidate clusters of observations responsive to the generated query using the cluster index. | 7. The method of claim 6 , wherein identifying one or more candidate clusters of observations responsive to the generated query comprises: identifying one or more candidate clusters of observations responsive to the generated query using the cluster index. 9. The method of claim 7 , wherein generating a respective score for one or more of the candidate clusters comprises: generating a respective score for one or more of the candidate clusters using the cluster index. | 0.901007 |
2. The method of claim 1 , further comprising: detecting a user selection of the display element; and identifying a set of messages between the first message and the second message in the branch of the relevant conversation, wherein the client device expands a portion of the stream comprising the display element to display the set of messages. | 2. The method of claim 1 , further comprising: detecting a user selection of the display element; and identifying a set of messages between the first message and the second message in the branch of the relevant conversation, wherein the client device expands a portion of the stream comprising the display element to display the set of messages. 3. The method of claim 2 , wherein the client device displays an animation of the stream expanding to display the set of messages. | 0.94785 |
1. A method of electronically providing a text reduction with annotation and commentary, the method comprising: selecting a reviewer from a predefined group; providing an annotation template to the reviewer and where the annotation template comprises template tasks comprising one or more text highlighting tasks, one or more text commenting tasks, and one or more hyperlink editing tasks for the reviewer to complete; wherein each text highlighting task comprises highlighting a respective portion of text in an electronic written work identifying the respective portion of text as corresponding to at least one of a particular text commenting task or a particular hyperlink editing task, wherein each commenting task comprises creating a first commentary and a second commentary, the first commentary have a length greater than a predetermined threshold and the second commentary having a length less than the predetermined threshold, and wherein each hyperlink editing task comprises inserting one or more hyperlinks selected from the group consisting of: a link to a designated on-line lending library, a discussion group, a resource link, and a listing of consultants; receiving the annotation template from the reviewer, wherein each task of the annotation template is completed prior to the receiving; linking each completed template task of the completed template tasks in the annotation template with the respective portion of the text based on the received highlighting tasks; receiving a selection by a user of at least of a portion of the text; and displaying through a networked computing device the linked and completed template tasks to a user based upon the selection. | 1. A method of electronically providing a text reduction with annotation and commentary, the method comprising: selecting a reviewer from a predefined group; providing an annotation template to the reviewer and where the annotation template comprises template tasks comprising one or more text highlighting tasks, one or more text commenting tasks, and one or more hyperlink editing tasks for the reviewer to complete; wherein each text highlighting task comprises highlighting a respective portion of text in an electronic written work identifying the respective portion of text as corresponding to at least one of a particular text commenting task or a particular hyperlink editing task, wherein each commenting task comprises creating a first commentary and a second commentary, the first commentary have a length greater than a predetermined threshold and the second commentary having a length less than the predetermined threshold, and wherein each hyperlink editing task comprises inserting one or more hyperlinks selected from the group consisting of: a link to a designated on-line lending library, a discussion group, a resource link, and a listing of consultants; receiving the annotation template from the reviewer, wherein each task of the annotation template is completed prior to the receiving; linking each completed template task of the completed template tasks in the annotation template with the respective portion of the text based on the received highlighting tasks; receiving a selection by a user of at least of a portion of the text; and displaying through a networked computing device the linked and completed template tasks to a user based upon the selection. 2. The method of claim 1 , further comprising storing the linked and completed template tasks in a reference database. | 0.566443 |
62. Apparatus for training a skilled individual to communicate with a lesser skilled individual in a target language, comprising: a monitor for communications from the skilled individual to the lesser skilled individual; a processor communicating with the monitor and determining whether a monitored communication is within the skill in the target language of the lesser skilled individual and, if not, providing to the skilled individual an instruction related to the communication or suggesting to the skilled individual alternative communication terminology that would be understood by the lesser skilled individual. | 62. Apparatus for training a skilled individual to communicate with a lesser skilled individual in a target language, comprising: a monitor for communications from the skilled individual to the lesser skilled individual; a processor communicating with the monitor and determining whether a monitored communication is within the skill in the target language of the lesser skilled individual and, if not, providing to the skilled individual an instruction related to the communication or suggesting to the skilled individual alternative communication terminology that would be understood by the lesser skilled individual. 68. The apparatus of claim 62 wherein the processor compares said communication to stored information related to the lesser skilled individual's ability in the target language. | 0.779656 |
26. The method of claim 22 further comprising: preparing a third web page comprising a translated text string resulting from translation of the text string. | 26. The method of claim 22 further comprising: preparing a third web page comprising a translated text string resulting from translation of the text string. 27. The method of claim 26 wherein: the second web page is prepared prior to translation of the text string. | 0.956013 |
12. The process as recited in claim 10 , wherein said comparing comprises selecting a mode group, transforming the knowledge signatures into reduced-dimensional representations, and performing a similarity measure between the transformed knowledge signatures. | 12. The process as recited in claim 10 , wherein said comparing comprises selecting a mode group, transforming the knowledge signatures into reduced-dimensional representations, and performing a similarity measure between the transformed knowledge signatures. 14. The process as recited in claim 12 , further comprising indexing the reduced-dimensional representation in existing data structures. | 0.893928 |
1. A tangible computer-readable medium, storing instructions executed by a computer system to implement a method for indexing data, the instructions comprising: instructions for receiving input from a user defining a classification; instructions for receiving input from the user defining an analytic for the classification; instructions for determining a definition of relevance parameters that characterize the classification; instructions for populating a cortex of data in a tangible computer readable database, the cortex of data being populated based on the classification of the data to be indexed; instructions for determining, using a processor based machine learning engine, relevant data from the cortex of data based on the definition of relevance parameters, the relevant data being data which is determined to be relevant to the classification defined by the user; instructions for analyzing the relevant data from the cortex of data based on the relevance parameters to determine attributes in the relevant data; instructions for generating an index of the attributes from the relevant data based on the analyzing of the relevant data; instructions for storing the index in the cortex; and instructions for receiving a query from an analytics tool, the query specifying the classification and an analytics measure, wherein the index is used by the analytics tool to provide results for the query using the analytics measure as applied to the data in the relevant data indexed in the classification. | 1. A tangible computer-readable medium, storing instructions executed by a computer system to implement a method for indexing data, the instructions comprising: instructions for receiving input from a user defining a classification; instructions for receiving input from the user defining an analytic for the classification; instructions for determining a definition of relevance parameters that characterize the classification; instructions for populating a cortex of data in a tangible computer readable database, the cortex of data being populated based on the classification of the data to be indexed; instructions for determining, using a processor based machine learning engine, relevant data from the cortex of data based on the definition of relevance parameters, the relevant data being data which is determined to be relevant to the classification defined by the user; instructions for analyzing the relevant data from the cortex of data based on the relevance parameters to determine attributes in the relevant data; instructions for generating an index of the attributes from the relevant data based on the analyzing of the relevant data; instructions for storing the index in the cortex; and instructions for receiving a query from an analytics tool, the query specifying the classification and an analytics measure, wherein the index is used by the analytics tool to provide results for the query using the analytics measure as applied to the data in the relevant data indexed in the classification. 12. The tangible computer-readable medium of claim 1 , wherein the analytics tool further processes the result using the analytic measure. | 0.587996 |
36. A method for controlling a cooking oven having means defining an oven cavity, heating means for heating said oven cavity to defined heating temperatures, including the steps of: prompting a user input selection of a heating mode from one of a cooking mode and a cleaning mode; prompting a user input entry of a heating temperature for said oven cavity and displaying the entered heating temperature; prompting a user selection of up to two timing modes independently of the selected heating mode; prompting a user entry of time values for the selected timing modes and displaying the entered time values; wherein said prompting and said displaying steps define at least a portion of a grammatical sentence to the user; establishing a time and temperature heating profile of said oven cavity from the selected heating function and timing functions and entered heating temperature and time values; and controlling said heating means according to said heating profile. | 36. A method for controlling a cooking oven having means defining an oven cavity, heating means for heating said oven cavity to defined heating temperatures, including the steps of: prompting a user input selection of a heating mode from one of a cooking mode and a cleaning mode; prompting a user input entry of a heating temperature for said oven cavity and displaying the entered heating temperature; prompting a user selection of up to two timing modes independently of the selected heating mode; prompting a user entry of time values for the selected timing modes and displaying the entered time values; wherein said prompting and said displaying steps define at least a portion of a grammatical sentence to the user; establishing a time and temperature heating profile of said oven cavity from the selected heating function and timing functions and entered heating temperature and time values; and controlling said heating means according to said heating profile. 41. The method in claim 36 including prompting user input selection of a heating mode using a grammatical verb, and prompting user entry of temperature and time values using grammatical prepositions whereby said displaying of said temperature and time values provides a grammatical object for said prepositions. | 0.744713 |
12. The system for conducting an automated, telephonic, speaker-independent speech recognition application according to claim 9 , wherein the speech recognition device is further configured to, after the identity of the respondent is confirmed, automatically generate prompts for instructions, including sample prompts to the respondent. | 12. The system for conducting an automated, telephonic, speaker-independent speech recognition application according to claim 9 , wherein the speech recognition device is further configured to, after the identity of the respondent is confirmed, automatically generate prompts for instructions, including sample prompts to the respondent. 13. The system for conducting an automated, telephonic, speaker-independent speech recognition application according to claim 12 , wherein the speech recognition device is further configured to, after determining that the prompts for instructions are satisfactorily answered by the respondent, present the respondent with prompts of the application. | 0.841678 |
12. A plurality of processing devices for analyzing a plurality of online social networks, each of the plurality of processing devices comprising: at least one processing unit; a memory; a communication unit for communicating with at least one other processing device of the plurality of processing devices; and a communication bus for permitting the at least one processing unit to communicate with the memory and the communication unit, wherein: the memory of each of the plurality of processing devices comprises a plurality of instructions, which when executed by each of the at least one processing unit causes the plurality of processing devices to collectively perform a method comprising: constructing a master actor ontology based on information received from the plurality of online social networks, the constructed master actor ontology including available characteristics identified from the received information, a plurality of derived graph characteristics, a plurality of user behavior classifications, and an introversion/extroversion indicator based on a respective actor's attributes for each of a plurality of actors; inputting at least one logical expression representing at least one correlation of interest with respect to a graph or a subgraph of the master actor ontology; automatically converting the at least one logical expression to a resource description framework query format; performing at least one query over the master actor ontology, based on the converted at least one logical expression, to provide at least one query result of the performed at least one query; after performing the at least one query, determining additional derived values from the master actor ontology based, at least in part, on the at least one query result; and storing the additional derived values from the master actor ontology. | 12. A plurality of processing devices for analyzing a plurality of online social networks, each of the plurality of processing devices comprising: at least one processing unit; a memory; a communication unit for communicating with at least one other processing device of the plurality of processing devices; and a communication bus for permitting the at least one processing unit to communicate with the memory and the communication unit, wherein: the memory of each of the plurality of processing devices comprises a plurality of instructions, which when executed by each of the at least one processing unit causes the plurality of processing devices to collectively perform a method comprising: constructing a master actor ontology based on information received from the plurality of online social networks, the constructed master actor ontology including available characteristics identified from the received information, a plurality of derived graph characteristics, a plurality of user behavior classifications, and an introversion/extroversion indicator based on a respective actor's attributes for each of a plurality of actors; inputting at least one logical expression representing at least one correlation of interest with respect to a graph or a subgraph of the master actor ontology; automatically converting the at least one logical expression to a resource description framework query format; performing at least one query over the master actor ontology, based on the converted at least one logical expression, to provide at least one query result of the performed at least one query; after performing the at least one query, determining additional derived values from the master actor ontology based, at least in part, on the at least one query result; and storing the additional derived values from the master actor ontology. 13. The plurality of processing devices of claim 12 , wherein the constructing a master actor ontology further comprises: automatically converting the received information from a JavaScript Object Notation format to a resource description framework format. | 0.621003 |
10. A dictation device for generating text based on a voice utterance and lip movement associated with the voice utterance, comprising: an audio input device that receives an audio signal representing the voice utterance; a video input device that receives a video signal representative of the lip movement; a controller configured according to instructions stored in a memory, the controller configured to: generate a first dictation based on the audio signal and assign a first conversion value based on a first set of conversion criteria; generate a second dictation based on the video signal and assign a second conversion value based on a second set of conversion criteria; and generate a variable text conversion value based on the first conversion value and the second conversion value and generate a third dictation based on the variable text conversion value, wherein the controller is configured to prioritize either the first conversion value or the second conversion value by a predetermined setting, wherein the controller generates the variable text conversion value based on the first conversion value when a number of syllables in a word in first dictation is greater than a threshold, and based on the second conversion value when the number of syllable in the word in first dictation is equal or less than the threshold. | 10. A dictation device for generating text based on a voice utterance and lip movement associated with the voice utterance, comprising: an audio input device that receives an audio signal representing the voice utterance; a video input device that receives a video signal representative of the lip movement; a controller configured according to instructions stored in a memory, the controller configured to: generate a first dictation based on the audio signal and assign a first conversion value based on a first set of conversion criteria; generate a second dictation based on the video signal and assign a second conversion value based on a second set of conversion criteria; and generate a variable text conversion value based on the first conversion value and the second conversion value and generate a third dictation based on the variable text conversion value, wherein the controller is configured to prioritize either the first conversion value or the second conversion value by a predetermined setting, wherein the controller generates the variable text conversion value based on the first conversion value when a number of syllables in a word in first dictation is greater than a threshold, and based on the second conversion value when the number of syllable in the word in first dictation is equal or less than the threshold. 11. The dictation device of claim 10 , wherein: the audio input device is disabled when a signal to noise ratio between the audio signal and a background noise is below a predetermined threshold; and the video input device is disabled when a signal to brightness ratio is below a predetermined threshold. | 0.824057 |
12. A speech understanding method comprising: recognizing an input speech to produce a speech recognition result; performing morpheme analysis on a sentence corresponding to the speech recognition result, recognizing and extracting additional information, and performing syntax analysis; describing the hierarchy of the sentence based on the additional information and results of the morpheme analysis and the syntax analysis; performing class transformation on the sentence whose hierarchy has been described; marking, by a computer, optional expressions for the sentence that has undergone the class transformation, deleting meaningless expressions and the additional information, converting the sentence into its base form, deleting morphemic tags or symbols to determine a semantic representation; retrieving the determined semantic representation from an example-based semantic representation pattern database; and selectively producing a retrieved semantic representation depending on whether or not the determined semantic representation exists in the example-based semantic representation pattern database. | 12. A speech understanding method comprising: recognizing an input speech to produce a speech recognition result; performing morpheme analysis on a sentence corresponding to the speech recognition result, recognizing and extracting additional information, and performing syntax analysis; describing the hierarchy of the sentence based on the additional information and results of the morpheme analysis and the syntax analysis; performing class transformation on the sentence whose hierarchy has been described; marking, by a computer, optional expressions for the sentence that has undergone the class transformation, deleting meaningless expressions and the additional information, converting the sentence into its base form, deleting morphemic tags or symbols to determine a semantic representation; retrieving the determined semantic representation from an example-based semantic representation pattern database; and selectively producing a retrieved semantic representation depending on whether or not the determined semantic representation exists in the example-based semantic representation pattern database. 15. The speech understanding method of claim 12 , wherein said performing class transformation includes: converting a noun into a hypernym class; converting synonyms from declinable words into a single word; assigning particles subject to phonological change due to a final consonant to the same class; and classifying numeric representations of time and amount by using automata. | 0.596879 |
5. A computer-implemented method of operating a first computing device, the method comprising: receiving an audio input; determining one or more values from the audio input, wherein the one or more values comprise at least one of: a first value indicating an energy level of the audio input; or a second value indicating a likelihood that the audio input comprises speech; increasing a sampling rate of the audio input, from a first lower sampling rate to a second higher sampling rate, based at least in part on the one or more values; activating a first module of the first computing device based at least in part on the one or more values; performing an operation, by the first module, wherein the operation comprises at least one of: determining that the audio input comprises a wakeword and causing activation of a network interface module in response to determining that the audio input comprises a wakeword, wherein causing activation of the network interface module comprises providing power to the network interface module; performing speech recognition on at least a portion of the audio input to obtain speech recognition results; or causing transmission of at least a portion of the audio input to a second computing device. | 5. A computer-implemented method of operating a first computing device, the method comprising: receiving an audio input; determining one or more values from the audio input, wherein the one or more values comprise at least one of: a first value indicating an energy level of the audio input; or a second value indicating a likelihood that the audio input comprises speech; increasing a sampling rate of the audio input, from a first lower sampling rate to a second higher sampling rate, based at least in part on the one or more values; activating a first module of the first computing device based at least in part on the one or more values; performing an operation, by the first module, wherein the operation comprises at least one of: determining that the audio input comprises a wakeword and causing activation of a network interface module in response to determining that the audio input comprises a wakeword, wherein causing activation of the network interface module comprises providing power to the network interface module; performing speech recognition on at least a portion of the audio input to obtain speech recognition results; or causing transmission of at least a portion of the audio input to a second computing device. 10. The computer-implemented method of claim 5 , wherein the first module comprises a software module configured to be executed by a microprocessor. | 0.642023 |
26. A method, comprising: at a computer system having one or more processors and memory storing one or more programs for execution by the one or more processors: accessing Internet usage data for a particular individual computer user, wherein the usage data include a plurality of search queries previously submitted by the particular individual computer user; identifying, without human intervention by the particular individual computer user, from at least some of the Internet usage data, a search query previously submitted by the particular individual computer user that meets one or more predefined query selection criteria; automatically rerunning, without human intervention by the particular individual computer user, the identified search query in its entirety, wherein the identified search query is a search query previously submitted by the particular individual computer user; and sending-at least some search results from the rerun query to a computer associated with the particular individual computer user for display. | 26. A method, comprising: at a computer system having one or more processors and memory storing one or more programs for execution by the one or more processors: accessing Internet usage data for a particular individual computer user, wherein the usage data include a plurality of search queries previously submitted by the particular individual computer user; identifying, without human intervention by the particular individual computer user, from at least some of the Internet usage data, a search query previously submitted by the particular individual computer user that meets one or more predefined query selection criteria; automatically rerunning, without human intervention by the particular individual computer user, the identified search query in its entirety, wherein the identified search query is a search query previously submitted by the particular individual computer user; and sending-at least some search results from the rerun query to a computer associated with the particular individual computer user for display. 28. The method of claim 26 , wherein Internet usage data for the particular individual computer user are grouped into query sessions. | 0.706383 |
13. The computer-implemented method for testing a contact center IVR system, in which a computer system performs operations comprising: generating a voice-capable markup language test script associated with a software script generator, wherein said generating a voice-capable markup language test script comprises: providing a grid, said grid having each tag of the voice-capable markup language application along a vertical axis and each tag of the voice-capable markup language application along a horizontal axis; establish a likelihood value in each cell of said grid, said likelihood value corresponding to a likelihood of the corresponding tag on the horizontal axis following the corresponding tag on the vertical axis; and generate at least one voice-capable markup language test script in accordance with the likelihood value for each tag; generating a first software linkage to a voice-capable markup language test page, the voice-capable markup language test page within a test voice-capable markup language server, the generating in response to the voice-capable markup language test script; generating audio signals with a voice-capable markup language browser, the generating in response to the first software linkage to the voice-capable markup language test page; and converting the audio signals to telephone audio signals with a telephony Interface adapted to couple to the PSTN. | 13. The computer-implemented method for testing a contact center IVR system, in which a computer system performs operations comprising: generating a voice-capable markup language test script associated with a software script generator, wherein said generating a voice-capable markup language test script comprises: providing a grid, said grid having each tag of the voice-capable markup language application along a vertical axis and each tag of the voice-capable markup language application along a horizontal axis; establish a likelihood value in each cell of said grid, said likelihood value corresponding to a likelihood of the corresponding tag on the horizontal axis following the corresponding tag on the vertical axis; and generate at least one voice-capable markup language test script in accordance with the likelihood value for each tag; generating a first software linkage to a voice-capable markup language test page, the voice-capable markup language test page within a test voice-capable markup language server, the generating in response to the voice-capable markup language test script; generating audio signals with a voice-capable markup language browser, the generating in response to the first software linkage to the voice-capable markup language test page; and converting the audio signals to telephone audio signals with a telephony Interface adapted to couple to the PSTN. 15. The method of claim 13 further comprising generating a GUI and wherein said generating a voice-capable markup language test script further comprises generating a voice-capable markup language test script associated with said GUI. | 0.563574 |
1. A method of assessing an individual through facial muscle activity and expressions, the method comprising: (a) receiving a recording stored on a computer-readable medium of an individual's response to a stimulus, the recording including a non-verbal response comprising facial expressions of the individual; (b) accessing the computer-readable medium for detecting and recording expressional repositioning of each of a plurality of selected facial features by conducting a computerized comparison of the facial position of each selected facial feature through sequential facial images; (c) coding contemporaneously detected and recorded expressional repositionings to at least one of an action unit, a combination of action units, or at least one emotion; and (d) analyzing the at least one of an action unit, a combination of action units, or at least one emotion to assess one or more characteristics of the individual to develop a profile of the individual's personality in relation to the objective for which the individual is being assessed, wherein analyzing the at least one of an action unit, a combination of action units, or at least one emotion comprises: identifying moments of the recording that elicited emotion based on the at least one of an action unit, a combination of action units, or at least one emotion; and developing the profile of the individual's personality based on a percentage of positive versus negative emotions and the specific emotions shown during the stimulus. | 1. A method of assessing an individual through facial muscle activity and expressions, the method comprising: (a) receiving a recording stored on a computer-readable medium of an individual's response to a stimulus, the recording including a non-verbal response comprising facial expressions of the individual; (b) accessing the computer-readable medium for detecting and recording expressional repositioning of each of a plurality of selected facial features by conducting a computerized comparison of the facial position of each selected facial feature through sequential facial images; (c) coding contemporaneously detected and recorded expressional repositionings to at least one of an action unit, a combination of action units, or at least one emotion; and (d) analyzing the at least one of an action unit, a combination of action units, or at least one emotion to assess one or more characteristics of the individual to develop a profile of the individual's personality in relation to the objective for which the individual is being assessed, wherein analyzing the at least one of an action unit, a combination of action units, or at least one emotion comprises: identifying moments of the recording that elicited emotion based on the at least one of an action unit, a combination of action units, or at least one emotion; and developing the profile of the individual's personality based on a percentage of positive versus negative emotions and the specific emotions shown during the stimulus. 11. The method of claim 1 , wherein analyzing the at least one of an action unit, a combination of action units, or at least one emotion comprises corresponding the at least one of an action unit, a combination of action units, or at least one emotion by stimulus type to relate emotional response data for the individual to a formula for determining the degree to which the individual fits one or more of the Big Five Factor model personality traits. | 0.523539 |
4. Apparatus according to claim 1 further characterized in that said means for internally associating includes means for applying tests of grammatical construction to determine the number of syllables in an encoded word selected for display, and means for temporarily storing the number of syllables, and further characterized in that said keyboard includes separate keys associated with numbers, whereby the number of syllables in a displayed word can be visually derived and entered through said keyboard to provide a signal to one of said indicators. | 4. Apparatus according to claim 1 further characterized in that said means for internally associating includes means for applying tests of grammatical construction to determine the number of syllables in an encoded word selected for display, and means for temporarily storing the number of syllables, and further characterized in that said keyboard includes separate keys associated with numbers, whereby the number of syllables in a displayed word can be visually derived and entered through said keyboard to provide a signal to one of said indicators. 5. . Apparatus according to claim 4 further characterized in that said means for applying tests includes means for determining syllable demarkations within a word appearing on said display means and means for altering said image of a displayed word by increasing spacing of letters thereof between adjacent syllables upon depression of a switch in said keyboard means. | 0.806771 |
11. A method for implementing sliding input of a text based upon an on-screen soft keyboard on an electronic equipment having a memory device and a processor, characterized in that, said method comprises the following steps: recording user-sliding trajectories; converting the recorded user-sliding trajectories into a user-sliding trajectory feature set; filtering in the memory device and originally choosing the words, wherein each of the originally chosen words has similar ideal sliding trajectory features with the user-sliding trajectory feature set; calculating a similarity between the ideal sliding trajectory features of each originally chosen word and said user-sliding trajectory features set according to key points on said trajectory, comprising the steps of: calculating a rough similarity between the ideal sliding trajectory features of each originally chosen word and said user-sliding trajectory features set, wherein said step of calculating the rough similarity comprises calculating a linear matching distance between the ideal trajectory of each originally chosen word and said user-sliding trajectory feature set; and calculating an accurate similarity between the ideal sliding trajectory features of each word obtained from the rough similarity calculation result and said user-sliding trajectory features set; obtaining candidate words according to the similarity, wherein the ideal sliding trajectory of each candidate word contains at least one of the key points or at least one of the surrounding points of at least one of the key points on said user-sliding trajectory; and displaying the candidate words. | 11. A method for implementing sliding input of a text based upon an on-screen soft keyboard on an electronic equipment having a memory device and a processor, characterized in that, said method comprises the following steps: recording user-sliding trajectories; converting the recorded user-sliding trajectories into a user-sliding trajectory feature set; filtering in the memory device and originally choosing the words, wherein each of the originally chosen words has similar ideal sliding trajectory features with the user-sliding trajectory feature set; calculating a similarity between the ideal sliding trajectory features of each originally chosen word and said user-sliding trajectory features set according to key points on said trajectory, comprising the steps of: calculating a rough similarity between the ideal sliding trajectory features of each originally chosen word and said user-sliding trajectory features set, wherein said step of calculating the rough similarity comprises calculating a linear matching distance between the ideal trajectory of each originally chosen word and said user-sliding trajectory feature set; and calculating an accurate similarity between the ideal sliding trajectory features of each word obtained from the rough similarity calculation result and said user-sliding trajectory features set; obtaining candidate words according to the similarity, wherein the ideal sliding trajectory of each candidate word contains at least one of the key points or at least one of the surrounding points of at least one of the key points on said user-sliding trajectory; and displaying the candidate words. 20. The method according to claim 11 , characterized in that, said step of filtering in the memory device and originally choosing the words includes following substeps: obtaining a corresponding character string set according to the key point sequence on said user-sliding trajectory; inquiring in the memory device according to said character string set; fetching out probabilities of all the inquired-out strings and obtain words corresponding to individual probability; and calculating a rough matching degree between those words and said user-sliding trajectory feature set. | 0.503327 |
9. A system of targeting marketing offers comprising: a non-transitory memory storing instructions; and a processor executing the instructions to cause the system to perform a method comprising: defining domain attribute sets for domain names; performing an historical analysis using the domain attribute sets; analyzing expiring domain names based on the historical analysis and the domain attribute sets; providing probability of deletion predictions based on the analyzing of the expiring domain names; and providing a targeted marketing offer to a current owner of a domain name based on the probability of deletion predictions. | 9. A system of targeting marketing offers comprising: a non-transitory memory storing instructions; and a processor executing the instructions to cause the system to perform a method comprising: defining domain attribute sets for domain names; performing an historical analysis using the domain attribute sets; analyzing expiring domain names based on the historical analysis and the domain attribute sets; providing probability of deletion predictions based on the analyzing of the expiring domain names; and providing a targeted marketing offer to a current owner of a domain name based on the probability of deletion predictions. 14. The system of claim 9 , wherein the analyzing expiring domain names comprises: determining a domain name belongs to a domain attribute set; determining a predicted probability of deletion as the probability of deletion of the domain attribute set. | 0.532477 |
9. A computer implemented method comprising: selecting a runtime state from a plurality of runtime states, wherein the plurality of runtime states are produced during execution of an application program; receiving a search engine information probe query from a search engine requesting information related to content of said application program, wherein said content is associated with said selected runtime state; in response to said search engine information probe query, executing said application program to achieve said selected runtime state; based on said executing of said application program, selecting a portion of procedural code within said application program, wherein said selected portion of procedural code defines said selected runtime state; accessing said selected portion of procedural code; reading, by a processor, non-procedural annotations inserted within said selected portion of procedural code, wherein said non-procedural annotations: describe a content of said selected runtime state; and provide information facilitating a link to said selected runtime state; generating, by a processor, declarative programming language code segments compatible with said search engine information probe query based on said non-procedural annotations; and transmitting said generated declarative programming language code segments to a search engine information probe in response to said search engine information probe query. | 9. A computer implemented method comprising: selecting a runtime state from a plurality of runtime states, wherein the plurality of runtime states are produced during execution of an application program; receiving a search engine information probe query from a search engine requesting information related to content of said application program, wherein said content is associated with said selected runtime state; in response to said search engine information probe query, executing said application program to achieve said selected runtime state; based on said executing of said application program, selecting a portion of procedural code within said application program, wherein said selected portion of procedural code defines said selected runtime state; accessing said selected portion of procedural code; reading, by a processor, non-procedural annotations inserted within said selected portion of procedural code, wherein said non-procedural annotations: describe a content of said selected runtime state; and provide information facilitating a link to said selected runtime state; generating, by a processor, declarative programming language code segments compatible with said search engine information probe query based on said non-procedural annotations; and transmitting said generated declarative programming language code segments to a search engine information probe in response to said search engine information probe query. 11. The computer implemented method of claim 9 , wherein said executing said application program comprises: executing said application program upon an application server that serves said application program to user terminal clients. | 0.559936 |
3. The method as described in claim 1 , wherein said processing said input audio message to determine said portion of said input audio message having heightened emotional value further comprises identifying a portion of said input audio message which is audibly louder than another portion of said spoken message. | 3. The method as described in claim 1 , wherein said processing said input audio message to determine said portion of said input audio message having heightened emotional value further comprises identifying a portion of said input audio message which is audibly louder than another portion of said spoken message. 4. The method as described in claim 3 , wherein a spectrum analysis is used to identify said portion of said input audio message that is audibly louder. | 0.859236 |
11. A computer-implemented system comprising: a processor, memory coupled to the processor, and instructions stored in the memory that implement the actions of: accessing in memory a set of events, each event identified by an associated time stamp; wherein each event in the set of events includes a portion of raw data from machine data; receiving data indicating selection of a first event from among a first plurality of events and data indicating a selection of one or more portions of text within the raw data of the first event to be extracted as one or more fields; automatically determining an initial extraction rule that extracts the selected portions of text within the first event; causing display of a first interface providing tools that implement user modification of the extraction rule, including selecting a field from the one or more fields and: selecting one or more non-adjoining strings to concatenate with the selected field; selecting a portion of the selected field to be trimmed from the beginning or end of the selected field; or selecting sub-portions of text to extract from within the selected field. | 11. A computer-implemented system comprising: a processor, memory coupled to the processor, and instructions stored in the memory that implement the actions of: accessing in memory a set of events, each event identified by an associated time stamp; wherein each event in the set of events includes a portion of raw data from machine data; receiving data indicating selection of a first event from among a first plurality of events and data indicating a selection of one or more portions of text within the raw data of the first event to be extracted as one or more fields; automatically determining an initial extraction rule that extracts the selected portions of text within the first event; causing display of a first interface providing tools that implement user modification of the extraction rule, including selecting a field from the one or more fields and: selecting one or more non-adjoining strings to concatenate with the selected field; selecting a portion of the selected field to be trimmed from the beginning or end of the selected field; or selecting sub-portions of text to extract from within the selected field. 16. The computer-implemented system of claim 11 , further including: causing display of a second user interface providing tools that implement user selection of only events that match the field extraction rule the field extraction rule; receiving further data indicating a selection of only the events that match; and sampling according to the match selection; and causing display of a third user interface including the plurality of events according to the match selection, wherein the annotated version indicates the portions of text within the plurality of events extracted by the initial extraction rule. | 0.587222 |
14. A machine-readable storage device storing instructions executable by a processor to: analyze a plurality of pages of a multi-page document to identify quantity and type of rich content in each one of the plurality of pages; assign a score to each one of the plurality of pages in the multi-page document, wherein the score for a respective one of the plurality of pages is dependent on the quantity of rich content items on the respective one of the plurality of pages and the type of each rich content item on the respective one of the plurality of pages, wherein said assigning comprises scoring each page based on the quantity and type of rich content items within that page; identify a page of the plurality of pages with the highest score; and designate the page with the highest score to be displayed as a thumbnail of the multi-page document, wherein the thumbnail is a single visual representation. | 14. A machine-readable storage device storing instructions executable by a processor to: analyze a plurality of pages of a multi-page document to identify quantity and type of rich content in each one of the plurality of pages; assign a score to each one of the plurality of pages in the multi-page document, wherein the score for a respective one of the plurality of pages is dependent on the quantity of rich content items on the respective one of the plurality of pages and the type of each rich content item on the respective one of the plurality of pages, wherein said assigning comprises scoring each page based on the quantity and type of rich content items within that page; identify a page of the plurality of pages with the highest score; and designate the page with the highest score to be displayed as a thumbnail of the multi-page document, wherein the thumbnail is a single visual representation. 16. The machine-readable storage device of claim 14 , wherein said analyzing comprises counting a number of occurrences of rich content on each one of the plurality of pages. | 0.780488 |
8. The apparatus as recited in claim 7 , wherein the metadata unit includes a metadata service module to gather the metadata items from the metadata provider module. | 8. The apparatus as recited in claim 7 , wherein the metadata unit includes a metadata service module to gather the metadata items from the metadata provider module. 9. The apparatus as recited in claim 8 , wherein the metadata unit includes a metadata cache to cache the metadata items that have been gathered by the metadata service module. | 0.940863 |
1. A text entry system comprising: a user input device comprising a virtual keyboard including an auto-correcting region comprising a plurality of the characters of a character set, where the characters occupy different character locations with different known coordinates in the auto-correcting region, wherein an interaction location associated with a user interaction is determined when a user interacts with the user input device within the auto-correcting region, the interaction location including coordinates of a contact point on the auto-correcting region, and the determined interaction location is added to a current input sequence of interaction locations; a machine readable vocabulary containing a plurality of objects, wherein one or more of the objects comprise a string of one or a plurality of characters forming all or part of a word or phrase; an output device having an output text region and an object choice list region; and a processor coupled to the user input device, the vocabulary, and the output device, said processor programmed to perform operations comprising: responsive to each new user interaction, conducting object-level analysis of various candidate objects from the vocabulary, comprising operations of: associating each user interaction with a different character of the given object, and scoring the given object according to factors including distances from the interaction locations in the current input sequence and the known coordinates of the associated characters of the given object; additionally responsive to each new user interaction, causing the object choice list region to display multiple objects according to scores produced by the object-level analysis; operating the output text region to display text entered by the user and to serve as a buffer for text input and editing; responsive to the user selecting one of the objects displayed in the object choice list, entering the selected object in the output text region. | 1. A text entry system comprising: a user input device comprising a virtual keyboard including an auto-correcting region comprising a plurality of the characters of a character set, where the characters occupy different character locations with different known coordinates in the auto-correcting region, wherein an interaction location associated with a user interaction is determined when a user interacts with the user input device within the auto-correcting region, the interaction location including coordinates of a contact point on the auto-correcting region, and the determined interaction location is added to a current input sequence of interaction locations; a machine readable vocabulary containing a plurality of objects, wherein one or more of the objects comprise a string of one or a plurality of characters forming all or part of a word or phrase; an output device having an output text region and an object choice list region; and a processor coupled to the user input device, the vocabulary, and the output device, said processor programmed to perform operations comprising: responsive to each new user interaction, conducting object-level analysis of various candidate objects from the vocabulary, comprising operations of: associating each user interaction with a different character of the given object, and scoring the given object according to factors including distances from the interaction locations in the current input sequence and the known coordinates of the associated characters of the given object; additionally responsive to each new user interaction, causing the object choice list region to display multiple objects according to scores produced by the object-level analysis; operating the output text region to display text entered by the user and to serve as a buffer for text input and editing; responsive to the user selecting one of the objects displayed in the object choice list, entering the selected object in the output text region. 17. The system of claim 1 , wherein at least one of the locations with known coordinates in the auto-correcting region corresponds to a plurality of characters of a character set, one or a plurality of which comprise at least one diacritic mark, wherein the plurality of character set members comprise variant forms of another character set member and wherein objects in the vocabulary contain said variant forms. | 0.581849 |
4. The method of claim 1 , wherein the information item is a document, and at least a portion of the context is stored as metadata associated with the document. | 4. The method of claim 1 , wherein the information item is a document, and at least a portion of the context is stored as metadata associated with the document. 5. The method of claim 4 , wherein the document is saved as a file and the context is stored as part of a file. | 0.949595 |
1. A semantic-based searching apparatus comprising: a storage unit configured to store: an associative search structure previously defined to obtain a final search object in response to an input search query, and semantic metadata which is stored in conformity with a semantic index configuration that includes a feature metadata index including a keyword and an inverted index used to identify a specific object, a semantic entity metadata index to indicate semantic entities corresponding to the keyword, and a semantic relation metadata index to indicate a relation between the semantic entities; and a control unit configured to generate a search result corresponding to the final search object in response to the input search query using the semantic metadata and the associative search structure. | 1. A semantic-based searching apparatus comprising: a storage unit configured to store: an associative search structure previously defined to obtain a final search object in response to an input search query, and semantic metadata which is stored in conformity with a semantic index configuration that includes a feature metadata index including a keyword and an inverted index used to identify a specific object, a semantic entity metadata index to indicate semantic entities corresponding to the keyword, and a semantic relation metadata index to indicate a relation between the semantic entities; and a control unit configured to generate a search result corresponding to the final search object in response to the input search query using the semantic metadata and the associative search structure. 3. The semantic-based searching apparatus of claim 1 , wherein the feature metadata index includes keywords and information that indicate in which content particular feature metadata appears. | 0.658688 |
9. The non-transitory CRM of claim 8 , the instructions further comprising functionality to: calculate, by the line extent interface and for a second line band crossing the page, a second plurality of segments corresponding to an intersection of the second line band with the second plurality of geometric primitives; and place a second portion of the text string within the second plurality of segments. | 9. The non-transitory CRM of claim 8 , the instructions further comprising functionality to: calculate, by the line extent interface and for a second line band crossing the page, a second plurality of segments corresponding to an intersection of the second line band with the second plurality of geometric primitives; and place a second portion of the text string within the second plurality of segments. 10. The non-transitory CRM of claim 9 , wherein the first line band comprises a first text height. | 0.910108 |
11. A method of providing online communication, the method comprising: receiving at a networked system from a visitor a communication request to communicate with the user via a communication interface displayed on a web page associated with the user, the communication interface including an address field configured to receive from the visitor an address associated with the visitor; and at least partly in response to a first visitor action, at least partly causing a call to be placed from a communication system to a visitor communication device associated with a phone address entered into the address field by the visitor, wherein the visitor is provided via the call the opportunity to record a voice message for the user without the visitor providing, and without revealing to the visitor, the phone number of the user; and causing at least in part embeddable code to be transmitted to the user over a network for use with the user web page, wherein the embeddable code generates the user interface. | 11. A method of providing online communication, the method comprising: receiving at a networked system from a visitor a communication request to communicate with the user via a communication interface displayed on a web page associated with the user, the communication interface including an address field configured to receive from the visitor an address associated with the visitor; and at least partly in response to a first visitor action, at least partly causing a call to be placed from a communication system to a visitor communication device associated with a phone address entered into the address field by the visitor, wherein the visitor is provided via the call the opportunity to record a voice message for the user without the visitor providing, and without revealing to the visitor, the phone number of the user; and causing at least in part embeddable code to be transmitted to the user over a network for use with the user web page, wherein the embeddable code generates the user interface. 12. The method as defined in claim 11 , the method further comprising providing the user with access to the voice message via a widget, a web page, and/or a client application. | 0.618474 |
1. A character recognition apparatus comprising: a processor configured to: extract a plurality of strokes from a recognition target; extract noise candidates from the plurality of strokes; generate a plurality of recognition result candidates obtained by removing at least one of the noise candidates from the recognition target; perform character recognition on the plurality of recognition result candidates and calculate recognition scores for each of the plurality of recognition result candidates; and use the recognition scores to specify a most likely recognition result candidate from the plurality of recognition result candidates as a recognition result. | 1. A character recognition apparatus comprising: a processor configured to: extract a plurality of strokes from a recognition target; extract noise candidates from the plurality of strokes; generate a plurality of recognition result candidates obtained by removing at least one of the noise candidates from the recognition target; perform character recognition on the plurality of recognition result candidates and calculate recognition scores for each of the plurality of recognition result candidates; and use the recognition scores to specify a most likely recognition result candidate from the plurality of recognition result candidates as a recognition result. 7. The character recognition apparatus according to claim 1 , wherein the processor is configured to calculate the recognition score using a neatness of a character compared to a plurality of characters in each of the plurality of recognition result candidates. | 0.574638 |
5. The method of claim 3 , further comprising: determining a non-authoring feature that may be utilized for changing the status of the document; and displaying information about the feature that may be utilized for changing the status of the document in the out-space user interface with the displayed status of the document. | 5. The method of claim 3 , further comprising: determining a non-authoring feature that may be utilized for changing the status of the document; and displaying information about the feature that may be utilized for changing the status of the document in the out-space user interface with the displayed status of the document. 6. The method of claim 5 , further comprising displaying a selectable control in the document status display pane for accessing the feature for changing the status of the document. | 0.928194 |
2. An apparatus for synthesizing speech from stored representations and for generating representations of speech for use in speech analysis, including but not limited to speech recognition, such apparatus being reconfigurable between the two functions and comprising: A. a lattice filter selectively configurable to have an all-pole transfer function for synthesis and an all-zero transfer function for analysis, the lattice filter being responsive to coefficients supplied thereto; B. an input inverter for converting analog representations of acoustic waveforms to signals suitable for processing by said all-zero lattice filter; C. an output converter coupled to said all-pole reconfigured lattice filter for coverting the output signals from said filter to analog signals suitable for conversion into acoustic waveforms; D. an excitation source for supplying to the input of said all-pole filter signals representing vocal tract excitation; E. a filter coefficient correction means for modifying lattice filter coefficients responsive to a speech signal being analyzed, to generate representations of such speech, and comprising 1. a feedback control means for adapting the response of said lattice filter to signals from said input converter, and 2. a coefficient integrator and storage means coupled to said feedback control means for integrating the output of said feedback control means and storing the results of the integration, said results being a set of coefficients characteristic of the input acoustic waveform; F. means for receiving filter coefficients for speech synthesis; G. means for selectively interconnecting, for speech synthesis or analysis, the lattice filter, the input converter, the output converter, the excitation source, the filter coefficient correction means and the coefficient receiving means. | 2. An apparatus for synthesizing speech from stored representations and for generating representations of speech for use in speech analysis, including but not limited to speech recognition, such apparatus being reconfigurable between the two functions and comprising: A. a lattice filter selectively configurable to have an all-pole transfer function for synthesis and an all-zero transfer function for analysis, the lattice filter being responsive to coefficients supplied thereto; B. an input inverter for converting analog representations of acoustic waveforms to signals suitable for processing by said all-zero lattice filter; C. an output converter coupled to said all-pole reconfigured lattice filter for coverting the output signals from said filter to analog signals suitable for conversion into acoustic waveforms; D. an excitation source for supplying to the input of said all-pole filter signals representing vocal tract excitation; E. a filter coefficient correction means for modifying lattice filter coefficients responsive to a speech signal being analyzed, to generate representations of such speech, and comprising 1. a feedback control means for adapting the response of said lattice filter to signals from said input converter, and 2. a coefficient integrator and storage means coupled to said feedback control means for integrating the output of said feedback control means and storing the results of the integration, said results being a set of coefficients characteristic of the input acoustic waveform; F. means for receiving filter coefficients for speech synthesis; G. means for selectively interconnecting, for speech synthesis or analysis, the lattice filter, the input converter, the output converter, the excitation source, the filter coefficient correction means and the coefficient receiving means. 10. An apparatus as defined in claim 2 in which said coefficient integrator and storage means includes: A. a shift register having an input end and an output end; B. an adder having first and second input terminals and providing an output that is the sum of the inputs applied to its input terminals; C. means applying the adder output to the input end of the shift register; D. a first gate for selectively connecting the output end of said shift register to the first input terminal of the adder, and E. a second gate for selectively applying an input to the second input terminal of the adder. | 0.5 |
9. The non-transitory computer storage medium of claim 8 , wherein for each action, adjusting the corresponding set of command sentences for the action based on the first n-grams and the second n-grams comprises: determining a first proper subset of the first n-grams that are determined to be most semantically relevant; determining a second proper subset of the second n-grams that are determined to be most semantically irrelevant; and selecting candidate command sentences that include at least one first n-gram from the first proper subset and at least one second n-gram from the second proper subset. | 9. The non-transitory computer storage medium of claim 8 , wherein for each action, adjusting the corresponding set of command sentences for the action based on the first n-grams and the second n-grams comprises: determining a first proper subset of the first n-grams that are determined to be most semantically relevant; determining a second proper subset of the second n-grams that are determined to be most semantically irrelevant; and selecting candidate command sentences that include at least one first n-gram from the first proper subset and at least one second n-gram from the second proper subset. 10. The non-transitory computer storage medium of claim 9 , wherein selecting candidate command sentences that include at least one first n-gram from the first proper subset and at least one second n-gram from the second proper subset comprises: scoring each candidate command sentence for semantic relevance to the action; and selecting only the candidate command sentences having scores that meet a threshold indicating a minimum semantic relevance. | 0.814731 |
1. A system for managing a logical people group (LPG), comprising: a computer, including a computer memory and processor; a user directory which includes a first plurality of attribute values for each of a plurality of users and the user directory maps the plurality of users to a plurality of groups; an attribute directory, separate from the user directory, which includes a second plurality of attribute values for each of the plurality of users, which second plurality of attribute values are not recorded in said user directory and the attribute directory maps a plurality of business attributes to the plurality of users; a security layer, separate from the user directory and attribute directory, which includes a third plurality of attribute values for each of the plurality of users, which third plurality of attribute values are not recorded in said user directory or attribute directory and the security layer includes a plurality of roles, wherein each role is associated with an application and includes one or more users from the plurality of users; a query module including a query cache executing on the computer, operable to receive a complex query wherein the complex query includes a first parameter operable on the first plurality of attribute values, a second defined parameter operable on the second plurality of attribute values, and a third parameter operable on the third plurality of attribute values; wherein, in response to the complex query, the query module, searches the user directory and identifies a first subset of the plurality users having attribute values satisfying the first parameter, searches the attribute directory and identifies a second subset of the plurality of users having attribute values satisfying the second parameter, searches the security layer and identifies a third subset of the plurality users having attribute values satisfying the third parameter, compares the first subset, the second subset, and the third subset, returns an LPG comprising a logical group of a plurality of users present in all of the first subset, the second subset, and the third subset, wherein the LPG is defined by the complex query, and stores the LPG in a query cache which stores, for a user-definable period, LPGs based on previously received complex queries. | 1. A system for managing a logical people group (LPG), comprising: a computer, including a computer memory and processor; a user directory which includes a first plurality of attribute values for each of a plurality of users and the user directory maps the plurality of users to a plurality of groups; an attribute directory, separate from the user directory, which includes a second plurality of attribute values for each of the plurality of users, which second plurality of attribute values are not recorded in said user directory and the attribute directory maps a plurality of business attributes to the plurality of users; a security layer, separate from the user directory and attribute directory, which includes a third plurality of attribute values for each of the plurality of users, which third plurality of attribute values are not recorded in said user directory or attribute directory and the security layer includes a plurality of roles, wherein each role is associated with an application and includes one or more users from the plurality of users; a query module including a query cache executing on the computer, operable to receive a complex query wherein the complex query includes a first parameter operable on the first plurality of attribute values, a second defined parameter operable on the second plurality of attribute values, and a third parameter operable on the third plurality of attribute values; wherein, in response to the complex query, the query module, searches the user directory and identifies a first subset of the plurality users having attribute values satisfying the first parameter, searches the attribute directory and identifies a second subset of the plurality of users having attribute values satisfying the second parameter, searches the security layer and identifies a third subset of the plurality users having attribute values satisfying the third parameter, compares the first subset, the second subset, and the third subset, returns an LPG comprising a logical group of a plurality of users present in all of the first subset, the second subset, and the third subset, wherein the LPG is defined by the complex query, and stores the LPG in a query cache which stores, for a user-definable period, LPGs based on previously received complex queries. 2. The system of claim 1 wherein the query cache includes an expiration period for each stored LPG. | 0.634108 |
4. The method of claim 1 , wherein the step (a1) comprises providing the attribute comprising a first field containing a name of the attribute and a second field containing a value of the attribute. | 4. The method of claim 1 , wherein the step (a1) comprises providing the attribute comprising a first field containing a name of the attribute and a second field containing a value of the attribute. 5. The method of claim 4 , wherein the step (b1) comprises specifying said one or more metadata rules comprising a target name, a target value, a comparison operation for comparing the target value with the second field of the attribute the first field of which matches the target name, and the security access policy, comprising a permission set to be applied to the document for controlling access to the document based on results of the comparison operation. | 0.837075 |
7. A method as recited in claim 1 further including: obtaining a next data frame thereby determining whether the subject gesture has reached a next key point; and updating a status report containing data on key points reached in a dimension. | 7. A method as recited in claim 1 further including: obtaining a next data frame thereby determining whether the subject gesture has reached a next key point; and updating a status report containing data on key points reached in a dimension. 8. A method as recited in claim 7 further including checking the status report to determine if the subject gesture is a partial completion of a recognizable gesture by comparing a previous data frame to the positional data for a recognizable gesture and determining how many key points have been reached. | 0.906893 |
5. The computer-implemented method of claim 1 , wherein said outputted modified set of records comprise a concise and complete temporal history of all data records such that a history of said entity is retrievable via a standard XML manipulation language. | 5. The computer-implemented method of claim 1 , wherein said outputted modified set of records comprise a concise and complete temporal history of all data records such that a history of said entity is retrievable via a standard XML manipulation language. 6. The computer-implemented method of claim 5 , wherein said standard XML manipulation language is XPath. | 0.925514 |
8. A computer readable storage device containing a program which, when executed, performs an operation for magnifying content on a graphical display, the operation comprising: receiving user input specifying a selection area of the graphical display to be magnified; specifying a display area of the graphical display within which to output a magnified copy of the specified selection area; generating the magnified copy of the specified selection area by operation of one or more computer processors when executing the program; and outputting the magnified copy of the specified selection area within the specified display area, wherein the specified selection area remains at least partially visible on the graphical display separate from the specified display area wherein a predefined area selected from the selection area and display area is anchored to a display element of an application window, such that a position of predefined area relative to the display element remains fixed when the display element is moved within the graphical display. | 8. A computer readable storage device containing a program which, when executed, performs an operation for magnifying content on a graphical display, the operation comprising: receiving user input specifying a selection area of the graphical display to be magnified; specifying a display area of the graphical display within which to output a magnified copy of the specified selection area; generating the magnified copy of the specified selection area by operation of one or more computer processors when executing the program; and outputting the magnified copy of the specified selection area within the specified display area, wherein the specified selection area remains at least partially visible on the graphical display separate from the specified display area wherein a predefined area selected from the selection area and display area is anchored to a display element of an application window, such that a position of predefined area relative to the display element remains fixed when the display element is moved within the graphical display. 9. The computer readable storage device of claim 8 , wherein the specified selection area includes text, and wherein the operation further comprises: receiving user input specifying a text size; and wherein generating the magnified copy of the specified selection area comprises: determining a magnification level for magnifying the included text to the specified text size; and magnifying the specified selection area by the determined magnification level. | 0.5 |
1. A method of processing a query, comprising the computer-implemented steps of: receiving the query, wherein the query specifies certain operations to be performed, wherein the certain operations comprise a first set of one or more operations that are to be performed on a markup language data source; wherein the first set of one or more operations includes a second set of one or more operations; determining that the first set of one or more operations can be performed at any one of a plurality of entities; wherein the plurality of entities includes one or more of an XML database server, a relational database server, and a middle-tier engine; generating a plurality of execution plans for executing the query, wherein the plurality of execution plans include: a first execution plan indicating a first entity at which the second set of one or more operations are to be performed; and a second execution plan indicating a second entity at which the second set of one or more operations are to be performed; selecting, based on a particular set of criteria, a particular execution plan from the plurality of execution plans; wherein selecting the particular execution plan from the plurality of execution plans comprises one or more of: selecting the particular execution plan based at least in part on costs determined for the plurality of execution plans; and selecting the particular execution plan by using one or more rules to determine which execution plan, of the plurality of execution plans, to use for executing the query; wherein the selected particular execution plan indicates a first server at which the second set of one or more operations are to be performed; determining that a third set of one or more operations are to be performed at the middle-tier engine, wherein the first set of one or more operations include all operations in the third set of one or more operations, and the third set of one or more operations include no operation that are in the second set of one or more operations; sending a request to the first server to perform the second set of one or more operations; receiving a response to the request, wherein the response contains results of performing the second set of one or more operations on the markup language data source; and generating results for the query based at least in part on the results of performing the second set of one or more operations; wherein the steps of generating the plurality of execution plans and selecting the particular execution plan are performed by one or more computing devices. | 1. A method of processing a query, comprising the computer-implemented steps of: receiving the query, wherein the query specifies certain operations to be performed, wherein the certain operations comprise a first set of one or more operations that are to be performed on a markup language data source; wherein the first set of one or more operations includes a second set of one or more operations; determining that the first set of one or more operations can be performed at any one of a plurality of entities; wherein the plurality of entities includes one or more of an XML database server, a relational database server, and a middle-tier engine; generating a plurality of execution plans for executing the query, wherein the plurality of execution plans include: a first execution plan indicating a first entity at which the second set of one or more operations are to be performed; and a second execution plan indicating a second entity at which the second set of one or more operations are to be performed; selecting, based on a particular set of criteria, a particular execution plan from the plurality of execution plans; wherein selecting the particular execution plan from the plurality of execution plans comprises one or more of: selecting the particular execution plan based at least in part on costs determined for the plurality of execution plans; and selecting the particular execution plan by using one or more rules to determine which execution plan, of the plurality of execution plans, to use for executing the query; wherein the selected particular execution plan indicates a first server at which the second set of one or more operations are to be performed; determining that a third set of one or more operations are to be performed at the middle-tier engine, wherein the first set of one or more operations include all operations in the third set of one or more operations, and the third set of one or more operations include no operation that are in the second set of one or more operations; sending a request to the first server to perform the second set of one or more operations; receiving a response to the request, wherein the response contains results of performing the second set of one or more operations on the markup language data source; and generating results for the query based at least in part on the results of performing the second set of one or more operations; wherein the steps of generating the plurality of execution plans and selecting the particular execution plan are performed by one or more computing devices. 11. The method of claim 1 , wherein the first server is an SQL/XML enabled database server; and wherein sending the request to the first server comprises sending the second set of one or more operations to the first server in the form of an SQL statement with embedded XML Query operations. | 0.623228 |
5. The method as recited in claim 1 , further comprising determining a cost associated with using the tuned database query. | 5. The method as recited in claim 1 , further comprising determining a cost associated with using the tuned database query. 6. The method as recited in claim 5 , further comprising comparing a cost associated with using the selected database query to the cost associated with using the tuned database query. | 0.928737 |
10. A system for producing speech recognition results on a receiving device, comprising: a sending device, including: a first memory containing a first program for performing automatic speech recognition; and a first processor which, when executing the first program, performs a first operation that includes: receiving audio, creating first speech recognition results using a first language model and the audio, wherein the first language model represents information stored on the sending device, and sending the first speech recognition results; a receiving device, including: a second memory containing a second program for performing automatic speech recognition; and a second processor which, when executing the second program, performs a second operation that includes: receiving the first speech recognition results, obtaining a second language model from a source other than an individual user of the receiving device, wherein the second language model represents information stored on the receiving device and, wherein the second language model is associated with the individual user of the receiving device; generating a third language model by modifying the second language model based on the first speech recognition results; and creating second speech recognition results using the third language model and the first speech recognition results. | 10. A system for producing speech recognition results on a receiving device, comprising: a sending device, including: a first memory containing a first program for performing automatic speech recognition; and a first processor which, when executing the first program, performs a first operation that includes: receiving audio, creating first speech recognition results using a first language model and the audio, wherein the first language model represents information stored on the sending device, and sending the first speech recognition results; a receiving device, including: a second memory containing a second program for performing automatic speech recognition; and a second processor which, when executing the second program, performs a second operation that includes: receiving the first speech recognition results, obtaining a second language model from a source other than an individual user of the receiving device, wherein the second language model represents information stored on the receiving device and, wherein the second language model is associated with the individual user of the receiving device; generating a third language model by modifying the second language model based on the first speech recognition results; and creating second speech recognition results using the third language model and the first speech recognition results. 14. The system of claim 10 , wherein the first language model is created on the sending device, and wherein the information stored on the sending device includes email messages. | 0.54013 |
3. The method of claim 1 , wherein: the answer comprises an electronic object; and the metadata includes information to enable construction by the computing device, using the metadata, of the sentence or statement so that the sentence or statement describes the electronic object and/or contents of the electronic object. | 3. The method of claim 1 , wherein: the answer comprises an electronic object; and the metadata includes information to enable construction by the computing device, using the metadata, of the sentence or statement so that the sentence or statement describes the electronic object and/or contents of the electronic object. 5. The method of claim 3 , wherein: the electronic object comprises a list; and the metadata includes descriptive information regarding content of the list to enable construction by the computing device, using the metadata, of the sentence or statement so that the sentence or statement describes content of the list. | 0.854299 |
7. A computer system to query a compound XML document, the computer system comprising: a processing unit to execute a program to query the compound XML document; a data storage device comprising a program to interpret a single query statement against the compound XML document; and a user interface to input elements of the single query statement and present return results; wherein the compound XML document comprises a primary XML document and a first encoded nested document and a second encoded nested document, wherein the elements of the single query statement comprise at least one respective attribute, respective encoding information, a respective search term, and a respective root node for each of the first and second encoded nested documents, wherein the processing unit acts to execute the single query statement and decode the first encoded nested document and the second encoded nested document such that the at least one attribute is returned from both the first encoded nested document and the second encoded nested document, and wherein the elements of the single query statement are concatenated together to form the single query statement wherein the processing unit acts to execute the single query statement such that the at least one attribute is returned from both the first nested document and second nested document by using the encoding information to decode the first and second nested documents in order to expose contents of each before assessing the at least one attribute. | 7. A computer system to query a compound XML document, the computer system comprising: a processing unit to execute a program to query the compound XML document; a data storage device comprising a program to interpret a single query statement against the compound XML document; and a user interface to input elements of the single query statement and present return results; wherein the compound XML document comprises a primary XML document and a first encoded nested document and a second encoded nested document, wherein the elements of the single query statement comprise at least one respective attribute, respective encoding information, a respective search term, and a respective root node for each of the first and second encoded nested documents, wherein the processing unit acts to execute the single query statement and decode the first encoded nested document and the second encoded nested document such that the at least one attribute is returned from both the first encoded nested document and the second encoded nested document, and wherein the elements of the single query statement are concatenated together to form the single query statement wherein the processing unit acts to execute the single query statement such that the at least one attribute is returned from both the first nested document and second nested document by using the encoding information to decode the first and second nested documents in order to expose contents of each before assessing the at least one attribute. 10. The computer system of claim 7 , wherein the single query further comprises at least one attribute from the primary XML document and wherein results from the primary XML document are returned with results from the first and second encoded nested documents. | 0.51853 |
8. The computer-implemented method of claim 1 , further comprising determining, for at least one of the created job listing pages, at least one keyword for inclusion in the created job listing page based on the respective base information. | 8. The computer-implemented method of claim 1 , further comprising determining, for at least one of the created job listing pages, at least one keyword for inclusion in the created job listing page based on the respective base information. 9. The computer-implemented method of claim 8 , wherein determining, for at least one of the created job listing pages, at least one keyword for inclusion in the created job listing page based on the respective base information comprises determining a plurality of keywords for inclusion in the created job listing page based on the respective base information and creating a respective keyword sequence for the plurality of keywords. | 0.763838 |
3. The non-transitory computer readable medium of claim 2 , wherein the at least one characteristic includes a plurality of words, and wherein the processing arrangement is further configured to generate the information by removing at least one of the words when performing procedures (c) and (d). | 3. The non-transitory computer readable medium of claim 2 , wherein the at least one characteristic includes a plurality of words, and wherein the processing arrangement is further configured to generate the information by removing at least one of the words when performing procedures (c) and (d). 4. The non-transitory computer readable medium of claim 3 , wherein the at least one characteristic further includes a combination of words, and wherein the processing arrangement is further configured to generate the information by removing each word and every combination of words from the at least one document when performing procedures (c) and (d). | 0.803556 |
1. A method of independently configuring international location and language in a computer system, comprising the steps of: (1) selecting a location and a language combination; (2) determining whether the selected combination is supported by an existing default locale; and (3) if the selected combination is not supported by a default locale, generating a composite locale for specifying output formats consistent with the selected combination, comprising the steps of (a) identifying a first default locale which employs formatting data for the selected location; (b) identifying a second default locale which employs formatting data for the selected language; and (c) automatically generating the composite locale for the selected combination from the first and second default locales. | 1. A method of independently configuring international location and language in a computer system, comprising the steps of: (1) selecting a location and a language combination; (2) determining whether the selected combination is supported by an existing default locale; and (3) if the selected combination is not supported by a default locale, generating a composite locale for specifying output formats consistent with the selected combination, comprising the steps of (a) identifying a first default locale which employs formatting data for the selected location; (b) identifying a second default locale which employs formatting data for the selected language; and (c) automatically generating the composite locale for the selected combination from the first and second default locales. 4. The method of claim 1, further comprising the step of storing the composite locale as a new default locale. | 0.746745 |
12. A speech recognition system, comprising: a processor; and a tuning engine comprising instructions that are executable by the processor to tune a speech module with respect to a particular type of utterance in response to the processor determining that a frequency of occurrence of the particular type of utterance satisfies a threshold. | 12. A speech recognition system, comprising: a processor; and a tuning engine comprising instructions that are executable by the processor to tune a speech module with respect to a particular type of utterance in response to the processor determining that a frequency of occurrence of the particular type of utterance satisfies a threshold. 15. The speech recognition system of claim 12 , further comprising an accuracy engine including instructions executable by the processor to determine an accuracy of recognition of the particular type of utterance. | 0.646623 |
32. An apparatus for interpreting movements of a first wearable item as gestures associated with a command to control a controlled device, comprising: means for receiving first and second signals respectively from the first wearable item and a second wearable item, wherein the first and second signals comprise information indicating movements of the first and second wearable items, respectively; means for identifying that the movement of the first wearable item was intended for the command and the movement of the second wearable item was not intended for any command based on the first and second signals indicating that the movements of the first and second wearable items occurred at the same time and in substantially the same direction; means for determining a first context in which the movement of the first wearable item is sensed, wherein the determination is based on a set of previously configured applicable contexts by another movement of the second wearable device or another wearable item; and means for interpreting the movement as being indicative of a gesture relating to the command based on the first context. | 32. An apparatus for interpreting movements of a first wearable item as gestures associated with a command to control a controlled device, comprising: means for receiving first and second signals respectively from the first wearable item and a second wearable item, wherein the first and second signals comprise information indicating movements of the first and second wearable items, respectively; means for identifying that the movement of the first wearable item was intended for the command and the movement of the second wearable item was not intended for any command based on the first and second signals indicating that the movements of the first and second wearable items occurred at the same time and in substantially the same direction; means for determining a first context in which the movement of the first wearable item is sensed, wherein the determination is based on a set of previously configured applicable contexts by another movement of the second wearable device or another wearable item; and means for interpreting the movement as being indicative of a gesture relating to the command based on the first context. 40. The apparatus of claim 32 , wherein the first context in which the movement of the first wearable item is sensed is used to determine whether any step of the process to perform gesture detection needs to be initiated. | 0.533703 |
39. A mobile phone-based method for providing security escorts to a requester for a location, time, and duration by a security escort provider, the method comprising: a. receiving request data from at least one requester's mobile phone for at least one engagement in at least one location; b. creating a record in a database for each requester request; c. collecting request factor data relevant to at least one engagement in at least one location; d. creating at least one record in the database for request factor data; e. requesting availability from at least one security escort for at least one engagement in at least one location based request factor data; f. calculating cost information for the engagement based on data from g. providing requester with confirmation of escort availability for engagement and other factors; h. request factors; i. receiving payment from requester for at least one engagement in at least one location; j. transmitting authentication and confirmation information to mobile phone of the requester and the security escort; k. rendezvousing requester at the location with the security escort; l. exchanging authentications to verify the identity of requester and escort; m. providing the security service as requested by the requester in at least one location; n. completing the security escort's engagement; o. notifying the security escort's provider of the engagement termination making security escort available for new engagement; p. paying security escort for at least one engagement in at least one location based on request factors; q. creating at least one record in the database for review data; whereby a requester can request tailored security escorts for an engagement in a location, date, and time based on request factors wherein the cost is determined by the applicable adjustment factors. | 39. A mobile phone-based method for providing security escorts to a requester for a location, time, and duration by a security escort provider, the method comprising: a. receiving request data from at least one requester's mobile phone for at least one engagement in at least one location; b. creating a record in a database for each requester request; c. collecting request factor data relevant to at least one engagement in at least one location; d. creating at least one record in the database for request factor data; e. requesting availability from at least one security escort for at least one engagement in at least one location based request factor data; f. calculating cost information for the engagement based on data from g. providing requester with confirmation of escort availability for engagement and other factors; h. request factors; i. receiving payment from requester for at least one engagement in at least one location; j. transmitting authentication and confirmation information to mobile phone of the requester and the security escort; k. rendezvousing requester at the location with the security escort; l. exchanging authentications to verify the identity of requester and escort; m. providing the security service as requested by the requester in at least one location; n. completing the security escort's engagement; o. notifying the security escort's provider of the engagement termination making security escort available for new engagement; p. paying security escort for at least one engagement in at least one location based on request factors; q. creating at least one record in the database for review data; whereby a requester can request tailored security escorts for an engagement in a location, date, and time based on request factors wherein the cost is determined by the applicable adjustment factors. 50. The method of claim 39 , where the database is loaded with at least one expected cost range for at least one engagement category with at least one request factor. | 0.624515 |
25. A portable, real time voice translation system, comprising: a translation system for use on a single unit, portable device having a processor and a memory, the translation system having a computer program that is operable for executing the following functions: accessing a multilanguage database embodied in a non-transitory computer readable storage medium including a plurality of phrase templates associated with a respective plurality of phrases; selecting a source language from a plurality of source languages and a destination language from a plurality of destination languages; inputting a source phrase; transmitting the source phrase to (i) a speech recognition module embodied in a non-transitory computer readable storage medium for converting the spoken source phrase into a recognized source phrase; (ii) a translation engine embodied in a non-transitory computer readable storage medium for translating the recognized source phrase in the selected source language into a destination phrase in a destination language selected from multiple languages, wherein the plurality of phrases in the multilanguage database include the destination phrase; and, (iii) a template look-up engine embodied in a non-transitory computer readable storage medium for finding the phrase template associated with the destination phrase from among the multiple languages; and, outputting the spoken translation in the selected destination language; wherein, the translation system has (i) a total time between the input of the source phrase and output of the destination phrase that is no slower than 0.010 seconds; and, (ii) a communications interface operable for communicating with a second computer system. | 25. A portable, real time voice translation system, comprising: a translation system for use on a single unit, portable device having a processor and a memory, the translation system having a computer program that is operable for executing the following functions: accessing a multilanguage database embodied in a non-transitory computer readable storage medium including a plurality of phrase templates associated with a respective plurality of phrases; selecting a source language from a plurality of source languages and a destination language from a plurality of destination languages; inputting a source phrase; transmitting the source phrase to (i) a speech recognition module embodied in a non-transitory computer readable storage medium for converting the spoken source phrase into a recognized source phrase; (ii) a translation engine embodied in a non-transitory computer readable storage medium for translating the recognized source phrase in the selected source language into a destination phrase in a destination language selected from multiple languages, wherein the plurality of phrases in the multilanguage database include the destination phrase; and, (iii) a template look-up engine embodied in a non-transitory computer readable storage medium for finding the phrase template associated with the destination phrase from among the multiple languages; and, outputting the spoken translation in the selected destination language; wherein, the translation system has (i) a total time between the input of the source phrase and output of the destination phrase that is no slower than 0.010 seconds; and, (ii) a communications interface operable for communicating with a second computer system. 29. The system of claim 25 , wherein the executing includes translating a source phrase to multiple destination languages in a sequential, simultaneous, or overlapping manner. | 0.620294 |
10. A method according to claim 1 , wherein said method further comprises: applying a stemming algorithm to the non-query terms present in said identifying phrases, for reducing duplicate sub-topics that have the same meaning but different stem. | 10. A method according to claim 1 , wherein said method further comprises: applying a stemming algorithm to the non-query terms present in said identifying phrases, for reducing duplicate sub-topics that have the same meaning but different stem. 16. A method according to claim 10 , wherein said stemming algorithm comprises the Porter Stemming Algorithm. | 0.909091 |
32. The system according to claim 28 , wherein the selected referenced node is mapped by the social network or social graph on the social network or the social graph. | 32. The system according to claim 28 , wherein the selected referenced node is mapped by the social network or social graph on the social network or the social graph. 33. The system according to claim 32 , wherein said selected referenced node is selected by displaying the list of referenced nodes in the interface. | 0.965571 |
1. A computer-implemented method for assigning a search query to one or more verticals, the method comprising the steps of: segmenting a search query into one or more units; wherein each unit of the one or more units is an element of a query; for each of the one or more verticals, computing a coverage adjusted log likelihood for the search query; wherein, for each particular vertical of the one or more verticals, the coverage adjusted log likelihood for the particular vertical is a conditional probability of the query appearing in a log of queries previously submitted within the particular vertical given the one or more units; and assigning the search query to a subset of the one or more verticals based in part on the coverage adjusted log likelihood; wherein the step of assigning the search query to a subset of the one or more verticals further comprises the steps of: selecting a highest coverage adjusted log likelihood from coverage adjusted log likelihoods computed for the search query for each of the one or more verticals; computing a set of differences between the highest coverage adjusted log likelihood and each coverage adjusted log likelihood computed for the search query for each of the one or more verticals; and assigning the search query to a subset of the one or more verticals further based at least in part on the set of differences; wherein the method is performed by one or more computing devices. | 1. A computer-implemented method for assigning a search query to one or more verticals, the method comprising the steps of: segmenting a search query into one or more units; wherein each unit of the one or more units is an element of a query; for each of the one or more verticals, computing a coverage adjusted log likelihood for the search query; wherein, for each particular vertical of the one or more verticals, the coverage adjusted log likelihood for the particular vertical is a conditional probability of the query appearing in a log of queries previously submitted within the particular vertical given the one or more units; and assigning the search query to a subset of the one or more verticals based in part on the coverage adjusted log likelihood; wherein the step of assigning the search query to a subset of the one or more verticals further comprises the steps of: selecting a highest coverage adjusted log likelihood from coverage adjusted log likelihoods computed for the search query for each of the one or more verticals; computing a set of differences between the highest coverage adjusted log likelihood and each coverage adjusted log likelihood computed for the search query for each of the one or more verticals; and assigning the search query to a subset of the one or more verticals further based at least in part on the set of differences; wherein the method is performed by one or more computing devices. 8. The method of claim 1 , wherein the coverage adjusted log likelihood for at least one of the verticals is between zero and one hundred percent probability of the search query belonging to that vertical. | 0.613772 |
8. The method of claim 1 additionally comprising: filtering, using the computing device, the plurality of search queries. | 8. The method of claim 1 additionally comprising: filtering, using the computing device, the plurality of search queries. 10. The method of claim 8 wherein filtering comprises eliminating search queries that do not appear in the plurality of search queries at least a threshold number of times. | 0.947986 |
1. A search system for determining whether an input string of characters matches a regular expression comprising a number of sub-expressions, the search system comprising: a result pipeline extending through the search system; a number of pipelined search engines, each having an input to selectively receive the input string of characters from a data pipeline, and each to selectively output one of a number of tokens onto the result pipeline in response to a match between the input string of characters and a corresponding sub-expression, wherein each unique sub-expression is assigned to a corresponding one of the tokens; and a token stitcher, having an input to receive the tokens from the result pipeline, to combine the tokens to generate an output match signal indicating whether the input string of characters matches the regular expression, wherein the regular expression comprises an unbounded sub-expression, and the unbounded sub-expression is delegated to the token stitcher for processing without utilizing sources of the pipelined search engines and wherein the pipelined search engines and the token stitcher are implemented by at least one processor-based computing device. | 1. A search system for determining whether an input string of characters matches a regular expression comprising a number of sub-expressions, the search system comprising: a result pipeline extending through the search system; a number of pipelined search engines, each having an input to selectively receive the input string of characters from a data pipeline, and each to selectively output one of a number of tokens onto the result pipeline in response to a match between the input string of characters and a corresponding sub-expression, wherein each unique sub-expression is assigned to a corresponding one of the tokens; and a token stitcher, having an input to receive the tokens from the result pipeline, to combine the tokens to generate an output match signal indicating whether the input string of characters matches the regular expression, wherein the regular expression comprises an unbounded sub-expression, and the unbounded sub-expression is delegated to the token stitcher for processing without utilizing sources of the pipelined search engines and wherein the pipelined search engines and the token stitcher are implemented by at least one processor-based computing device. 5. The search system of claim 1 , wherein the pipelined search engines comprise: a deterministic finite automaton (DFA) engine to store first sub-expressions that comprise stings; and a non-deterministic finite automaton (NFA) engine to store second sub-expressions having selected quantified character classes. | 0.642774 |
40. A computer readable storage medium having stored therein instructions, which when executed by a computer system cause the computer system to: identify multiple resource identifiers in accordance with a first set of predefined criteria for selecting a respective document that satisfies user-specified search keywords, each resource identifier corresponding to a document at a respective data source; retrieve the corresponding document from the respective document source for at least one of the resource identifiers; identify within the retrieved document a chunk by applying a second set of predefined criteria to the retrieved document; and display the identified chunk and a link to the identified chunk within the document to the user, wherein the first set of predefined criteria requires that all the search keywords be found within an identified respective document, and the second set of predefined criteria requires that all the search keywords be found within an identified chunk. | 40. A computer readable storage medium having stored therein instructions, which when executed by a computer system cause the computer system to: identify multiple resource identifiers in accordance with a first set of predefined criteria for selecting a respective document that satisfies user-specified search keywords, each resource identifier corresponding to a document at a respective data source; retrieve the corresponding document from the respective document source for at least one of the resource identifiers; identify within the retrieved document a chunk by applying a second set of predefined criteria to the retrieved document; and display the identified chunk and a link to the identified chunk within the document to the user, wherein the first set of predefined criteria requires that all the search keywords be found within an identified respective document, and the second set of predefined criteria requires that all the search keywords be found within an identified chunk. 57. The computer readable storage medium of claim 40 , further comprising: instructions for displaying a chunk page-link icon for searching chunks within documents that are referenced by the corresponding document for the at least one of the resource identifiers; and instructions for displaying one or more referenced document links in response to a user selection of the chunk page-link icon, wherein each referenced document link has one or more associated chunks identified within a corresponding referenced document as satisfying the user-specified search keywords. | 0.544843 |
12. A field programmable gate array, comprising: a SIP component of the array configured to execute functions defined by Session Initiation Protocol (SIP); an XML component of the array configured to execute functions defined by Extensible Markup Language (XML); and an interface component of the array configured to receive an incoming data packet into a set of registers used to communicate with a software component and to coordinate functions executed by the SIP component and the XML component, wherein the interface invokes the SIP engine to parse an incoming data packet, the SIP engine operates to parse the incoming data packet to determine a packet type for the incoming data packet in accordance with SIP and sends a response to the interface, such that the response depends on the packet type determined for the incoming data packet, and wherein the interface invokes the XML engine in response to a determination that the incoming data packet is formatted in accordance with Presence Information Data Format. | 12. A field programmable gate array, comprising: a SIP component of the array configured to execute functions defined by Session Initiation Protocol (SIP); an XML component of the array configured to execute functions defined by Extensible Markup Language (XML); and an interface component of the array configured to receive an incoming data packet into a set of registers used to communicate with a software component and to coordinate functions executed by the SIP component and the XML component, wherein the interface invokes the SIP engine to parse an incoming data packet, the SIP engine operates to parse the incoming data packet to determine a packet type for the incoming data packet in accordance with SIP and sends a response to the interface, such that the response depends on the packet type determined for the incoming data packet, and wherein the interface invokes the XML engine in response to a determination that the incoming data packet is formatted in accordance with Presence Information Data Format. 15. The field programmable gate array of claim 12 wherein the interface component implements an instant messaging extension in accordance with SIP. | 0.551587 |
19. The article of claim 18 , wherein the classification process comprises a machine learning process. | 19. The article of claim 18 , wherein the classification process comprises a machine learning process. 20. The article of claim 19 , wherein the machine learning process comprises a C4.5 machine learning algorithm. | 0.942956 |
11. A computer program product tangibly embodied on a computer readable storage device for accessing models, the computer program product comprises instructions for causing a computer to: search a database that stores a plurality of models with the models having permission levels that specify access rights that control access to the models in the database by users, search performed in response to a user query, with search results provided based on search terms included in the user query; send search results to a user system receive a selection of a model from the results; and send a message to the user, the message based on the access rights associated with the model, with the message including at least one option to access the model; and cause a user interface to be sent to the user system, which when rendered on a user device, provides a bidding interface to bid on a price for access to the model. | 11. A computer program product tangibly embodied on a computer readable storage device for accessing models, the computer program product comprises instructions for causing a computer to: search a database that stores a plurality of models with the models having permission levels that specify access rights that control access to the models in the database by users, search performed in response to a user query, with search results provided based on search terms included in the user query; send search results to a user system receive a selection of a model from the results; and send a message to the user, the message based on the access rights associated with the model, with the message including at least one option to access the model; and cause a user interface to be sent to the user system, which when rendered on a user device, provides a bidding interface to bid on a price for access to the model. 16. The computer program product of claim 11 , further comprising instructions to: receive a user query that executes the selected model to determine predictive scenarios available from the selected model; and generate an interface that renders data that includes statistical predictions from execution of the selected model. | 0.560729 |
10. A computer-implemented method comprising: identifying sub-string repetition in a pass phrase; generating a sub-string index; determining a number of bits required to represent each character in the pass phrase; assigning, using a processor, an entropy value to each character in the pass phrase in accordance with a probability function that assigns lowest probabilities when a ratio of a number of pass phrase characters to pass phrase length is equal to a ratio of a size the interval to a sum of interval sizes; and computing a total entropy value for the pass phrase. | 10. A computer-implemented method comprising: identifying sub-string repetition in a pass phrase; generating a sub-string index; determining a number of bits required to represent each character in the pass phrase; assigning, using a processor, an entropy value to each character in the pass phrase in accordance with a probability function that assigns lowest probabilities when a ratio of a number of pass phrase characters to pass phrase length is equal to a ratio of a size the interval to a sum of interval sizes; and computing a total entropy value for the pass phrase. 13. The computer-implemented method of claim 10 , wherein the entropy value is assigned in accordance with a probability function that assigns the highest probabilities at the boundaries of the interval for the entropy of a character. | 0.57775 |
3. The method of claim 1 , wherein the generating further comprises creating a list of each of the identified at least one reference and the corresponding HTML equivalent thereto. | 3. The method of claim 1 , wherein the generating further comprises creating a list of each of the identified at least one reference and the corresponding HTML equivalent thereto. 5. The method of claim 3 , wherein the generating further includes reformatting the at least one reference to remove non-standard elements therefrom. | 0.953184 |
1. In a computing environment, a method performed at least in part on at least one processor, the method comprising: receiving feature data corresponding to location-related information of an individual visit, the location-related information associated with a first computing device, the feature data including user demographics data of a person associated with the first computing device and at least one of arrival day of week, arrival time of day, visit midpoint time of day, departure time of day, duration of visit, season of year, holiday data, and nearby business features; computing an inference of a semantic label for a place represented by the location-related information for the individual visit using a semantic label classifier and the received feature data, the inference of the semantic label based at least in part on the user demographics data, such that the inferred semantic label for the place is customized to the person associated with the user demographics data and the individual visit; and associating the inferred semantic label with the place represented by the location-related information for the individual visit; and automatically performing an action at the first computing device or at another computing device based on the inferred semantic label. | 1. In a computing environment, a method performed at least in part on at least one processor, the method comprising: receiving feature data corresponding to location-related information of an individual visit, the location-related information associated with a first computing device, the feature data including user demographics data of a person associated with the first computing device and at least one of arrival day of week, arrival time of day, visit midpoint time of day, departure time of day, duration of visit, season of year, holiday data, and nearby business features; computing an inference of a semantic label for a place represented by the location-related information for the individual visit using a semantic label classifier and the received feature data, the inference of the semantic label based at least in part on the user demographics data, such that the inferred semantic label for the place is customized to the person associated with the user demographics data and the individual visit; and associating the inferred semantic label with the place represented by the location-related information for the individual visit; and automatically performing an action at the first computing device or at another computing device based on the inferred semantic label. 3. The method of claim 1 wherein associating the inferred semantic label with the place represented by the location-related information comprises inferring the semantic label for an individual visit of at least two visits of a sequence of visits. | 0.613755 |
7. The method of claim 1 , wherein the electronic document comprises a link to a legitimacy rating document, wherein the legitimacy rating document comprises additional legitimacy rating information. | 7. The method of claim 1 , wherein the electronic document comprises a link to a legitimacy rating document, wherein the legitimacy rating document comprises additional legitimacy rating information. 9. The method of claim 7 , wherein the additional legitimacy rating information comprises a metric corresponding to a number of users who have provided negative feedback about the content source. | 0.905405 |
17. The system of claim 16 , wherein determining the first frequency of occurrence comprises determining a number of articles in the corpus containing the first segmented result that are identified by the search engine. | 17. The system of claim 16 , wherein determining the first frequency of occurrence comprises determining a number of articles in the corpus containing the first segmented result that are identified by the search engine. 19. The system of claim 17 , wherein determining the number of articles in the corpus containing the first segmented result comprises accessing an index of articles for the corpus that is maintained by the search engine. | 0.93875 |
1. In a processing device having a memory in which is stored instructions for implementing a method of representing contents of three or more markup language source files in one markup language delta file whenever an element type of a root element of each of the three or more markup language source files is the same, the method comprising the steps of: a) accessing three or more markup language source files from the memory and determining that the element type of the root element of each of the three or more markup language source files is the same, where elements of the same type are elements with the same name and namespace; b) creating and storing in the memory a delta file with a root element having an element type which is the same as the root element type of the three or more markup language source files; c) recording in the delta file stored in memory information about all non-common contents of the three or more markup language source files which is not common to all the source files, wherein for the non-common content every element in the source files has a corresponding element of the same type recorded in the delta file and ancestor elements have corresponding ancestor elements of the same type recorded in the delta file up to and including the root element, for every two elements that are siblings in a source file corresponding elements that are siblings are recorded in the delta file, and all text nodes directly or indirectly within a source file element have corresponding text nodes contained directly or indirectly within the corresponding delta file element; d) determining for every subtree in the source files whether or not a common subtree is present in at least one of the other source files; and e) recording in the delta file stored in memory common subtrees as equal whereby any attribute, text string or subtree that is present and the same in all of the markup language source files is present in the delta file only once in exactly the same format as the attribute, text string or subtree appeared in the source files and any one of the source files is extractable from the delta file and when a source file is removed from the delta file, the information remaining in the resulting delta file remains true with respect to at least step c) and step e) for the remaining markup language source files. | 1. In a processing device having a memory in which is stored instructions for implementing a method of representing contents of three or more markup language source files in one markup language delta file whenever an element type of a root element of each of the three or more markup language source files is the same, the method comprising the steps of: a) accessing three or more markup language source files from the memory and determining that the element type of the root element of each of the three or more markup language source files is the same, where elements of the same type are elements with the same name and namespace; b) creating and storing in the memory a delta file with a root element having an element type which is the same as the root element type of the three or more markup language source files; c) recording in the delta file stored in memory information about all non-common contents of the three or more markup language source files which is not common to all the source files, wherein for the non-common content every element in the source files has a corresponding element of the same type recorded in the delta file and ancestor elements have corresponding ancestor elements of the same type recorded in the delta file up to and including the root element, for every two elements that are siblings in a source file corresponding elements that are siblings are recorded in the delta file, and all text nodes directly or indirectly within a source file element have corresponding text nodes contained directly or indirectly within the corresponding delta file element; d) determining for every subtree in the source files whether or not a common subtree is present in at least one of the other source files; and e) recording in the delta file stored in memory common subtrees as equal whereby any attribute, text string or subtree that is present and the same in all of the markup language source files is present in the delta file only once in exactly the same format as the attribute, text string or subtree appeared in the source files and any one of the source files is extractable from the delta file and when a source file is removed from the delta file, the information remaining in the resulting delta file remains true with respect to at least step c) and step e) for the remaining markup language source files. 2. A method as claimed in claim 1 wherein one or more attributes are added to one or more of the elements in the delta file representative of generalized equality relationships between the corresponding one or more elements in one or more of the source files. | 0.745597 |
1. A computer implemented method of annotating an electronic book, said method comprising: accessing an information source site, said information source site comprising a plurality of webpages, each webpage associated with a subject title; accessing content of said electronic book; identifying a first plurality of terms from said electronic book, each term of said first plurality of terms related to one or more webpages of said information source site; matching each term of said first plurality of terms to a respective webpage of said information source site based on a context of said electronic book at least by disambiguating a first term within said first plurality of terms to a single matching webpage based on relatedness of said first term with other terms of said first plurality of terms, wherein said first term is associated with multiple webpages of said information source site, and wherein said relatedness is determined in accordance with a respective similarity between each of said multiple webpages associated with said first term and each webpage associated with each of said other terms of said first plurality of terms; mining data of said information source site to create an index to all subject titles therein and a graph structure of incoming links to said all subject titles; computing similarity scores in accordance with an incoming link dependent measure; deriving said relatedness by computing a weighted average to similarity scores associated with said first term, wherein said weighted average is computed based on weight factors determined in accordance with relatedness among terms of said other terms; obtaining a second plurality of terms by filtering said first plurality of terms based on a predetermined criteria; and establishing hyperlinks between said second plurality of terms with respective matching webpages of said information source site, wherein the link dependent measure is based on a first equation sim ( c j , p i ) = log ( max ( c j , p i ) ) - log ( c j ⋂ p i ) log ( W ) - log ( min ( c j , p i ) ) , wherein pi corresponds to a target term with multiple matching title pages, cj corresponds to pages of unique entries among context terms for the target term, and W corresponds to a collection of webpage titles. | 1. A computer implemented method of annotating an electronic book, said method comprising: accessing an information source site, said information source site comprising a plurality of webpages, each webpage associated with a subject title; accessing content of said electronic book; identifying a first plurality of terms from said electronic book, each term of said first plurality of terms related to one or more webpages of said information source site; matching each term of said first plurality of terms to a respective webpage of said information source site based on a context of said electronic book at least by disambiguating a first term within said first plurality of terms to a single matching webpage based on relatedness of said first term with other terms of said first plurality of terms, wherein said first term is associated with multiple webpages of said information source site, and wherein said relatedness is determined in accordance with a respective similarity between each of said multiple webpages associated with said first term and each webpage associated with each of said other terms of said first plurality of terms; mining data of said information source site to create an index to all subject titles therein and a graph structure of incoming links to said all subject titles; computing similarity scores in accordance with an incoming link dependent measure; deriving said relatedness by computing a weighted average to similarity scores associated with said first term, wherein said weighted average is computed based on weight factors determined in accordance with relatedness among terms of said other terms; obtaining a second plurality of terms by filtering said first plurality of terms based on a predetermined criteria; and establishing hyperlinks between said second plurality of terms with respective matching webpages of said information source site, wherein the link dependent measure is based on a first equation sim ( c j , p i ) = log ( max ( c j , p i ) ) - log ( c j ⋂ p i ) log ( W ) - log ( min ( c j , p i ) ) , wherein pi corresponds to a target term with multiple matching title pages, cj corresponds to pages of unique entries among context terms for the target term, and W corresponds to a collection of webpage titles. 2. The computer implemented method of claim 1 , wherein said identifying said first plurality of terms comprises identifying said first plurality of terms from a chapter of said electronic book based on a term frequency inverse document frequency (TF-IDF)-based analysis in accordance with a frequency and a specificity of each of said first plurality of terms, and wherein further said first plurality of terms are associated with a common theme. | 0.552743 |
15. One or more non-transitory computer-readable media storing one or more sequences of instructions which, when executed by one or more processors, cause a computing device to perform a method comprising: displaying a first timeline for a first animation object; displaying a second timeline for a second animation object; displaying a first identifier of the first animation object in association with the first timeline; displaying a second identifier of the second animation object in association with the second timeline; wherein the first identifier and the second identifier are displayed with respect to each other in an order that determines a z-index order of the first animation object with respect to the second animation object in a style sheet animation of at least the first animation object and the second animation object; generating style sheet language text which, when processed by a style sheet animation processor, causes the first animation object and the second animation object to be animated in the style sheet animation in accordance with the determined z-index order. | 15. One or more non-transitory computer-readable media storing one or more sequences of instructions which, when executed by one or more processors, cause a computing device to perform a method comprising: displaying a first timeline for a first animation object; displaying a second timeline for a second animation object; displaying a first identifier of the first animation object in association with the first timeline; displaying a second identifier of the second animation object in association with the second timeline; wherein the first identifier and the second identifier are displayed with respect to each other in an order that determines a z-index order of the first animation object with respect to the second animation object in a style sheet animation of at least the first animation object and the second animation object; generating style sheet language text which, when processed by a style sheet animation processor, causes the first animation object and the second animation object to be animated in the style sheet animation in accordance with the determined z-index order. 24. The one or more non-transitory computer-readable media of claim 15 , wherein the style sheet animation processor is a web browser. | 0.734881 |
21. A computer implemented method for processing database content, the method comprising the steps of: syndicating one or more data objects associated with a database to one or more remote computers; parsing one or more source documents to identify at least one term based on one or more predetermined rules; identifying content for the at least one term; linking the content with the at least one term; and automatically associating the at least one term in the one or more source documents with at least one link; wherein the at least one link denotes an association between the at least one term and the linked content; wherein the one or more data objects associated with the database provide a representation of at least a portion of the database at the one or more remote computers; and wherein the linked content is displayed on a user interface based upon a user interaction with at least a portion of the one or more source documents. | 21. A computer implemented method for processing database content, the method comprising the steps of: syndicating one or more data objects associated with a database to one or more remote computers; parsing one or more source documents to identify at least one term based on one or more predetermined rules; identifying content for the at least one term; linking the content with the at least one term; and automatically associating the at least one term in the one or more source documents with at least one link; wherein the at least one link denotes an association between the at least one term and the linked content; wherein the one or more data objects associated with the database provide a representation of at least a portion of the database at the one or more remote computers; and wherein the linked content is displayed on a user interface based upon a user interaction with at least a portion of the one or more source documents. 31. The method of claim 21 , wherein one or more of the predetermined rules are based on manner of linguistic usage of a term. | 0.512683 |
14. A computer-readable storage medium storing program instructions, wherein the program instructions are computer-executable to implement: receiving text input, the text input including content associated with an input source; providing the text input to a keyword suggestion tool, wherein the keyword suggestion tool generates one or more keywords based on the text input; applying a text reduction function to the text input to generate a reduced text that is a subset of the text input, wherein the text reduction function is based on a term importance score of terms in the text input; providing the reduced text to the keyword suggestion tool, wherein the keyword suggestion tool generates one or more keywords based on the reduced text, the one or more keywords generated based on the reduced text generated independently from the one or more keywords generated based on the text input; and generating a keyword set output from a combination of the one or more keywords based on the text input and the one or more keywords based on the reduced text. | 14. A computer-readable storage medium storing program instructions, wherein the program instructions are computer-executable to implement: receiving text input, the text input including content associated with an input source; providing the text input to a keyword suggestion tool, wherein the keyword suggestion tool generates one or more keywords based on the text input; applying a text reduction function to the text input to generate a reduced text that is a subset of the text input, wherein the text reduction function is based on a term importance score of terms in the text input; providing the reduced text to the keyword suggestion tool, wherein the keyword suggestion tool generates one or more keywords based on the reduced text, the one or more keywords generated based on the reduced text generated independently from the one or more keywords generated based on the text input; and generating a keyword set output from a combination of the one or more keywords based on the text input and the one or more keywords based on the reduced text. 17. The computer-readable storage medium of claim 14 , wherein said applying the text reduction comprises transmitting the text input across a network to a remote system and receiving the reduced text in response to said transmitting. | 0.648777 |
8. A system for repairing Uniform Resource Locator (URL) request messages, the system comprising: computer memory that stores a mapping of escape sequences to special characters; and one more processors configured to: obtain a URL request from a user computing device, the URL request specifying a URL that includes a name of a domain followed by a character string, the character string including a first product identifier; in response to determining that the character string references an invalid location, generate a modified URL at least partly by converting one or more non-URL escape sequences in the character string into URL format based in part on the mapping stored in the computer memory, wherein generating the modified URL comprises at least one of the following: (a) performing URL decoding of the URL two times to repair a doubly URL encoded portion of the URL, and (b) removing malicious content embedded in the URL; determine whether the modified URL resolves to valid content; when the modified URL is determined to resolve to valid content, provide the valid content associated with the modified URL; and when the modified URL is determined to not resolve to valid content, identify, using the first product identifier from the URL, substitute content to return in response to the URL request. | 8. A system for repairing Uniform Resource Locator (URL) request messages, the system comprising: computer memory that stores a mapping of escape sequences to special characters; and one more processors configured to: obtain a URL request from a user computing device, the URL request specifying a URL that includes a name of a domain followed by a character string, the character string including a first product identifier; in response to determining that the character string references an invalid location, generate a modified URL at least partly by converting one or more non-URL escape sequences in the character string into URL format based in part on the mapping stored in the computer memory, wherein generating the modified URL comprises at least one of the following: (a) performing URL decoding of the URL two times to repair a doubly URL encoded portion of the URL, and (b) removing malicious content embedded in the URL; determine whether the modified URL resolves to valid content; when the modified URL is determined to resolve to valid content, provide the valid content associated with the modified URL; and when the modified URL is determined to not resolve to valid content, identify, using the first product identifier from the URL, substitute content to return in response to the URL request. 12. The system of claim 8 , wherein the one or more processors are configured to generate the modified URL in part by: in response to determining that the URL is encoded in a non-standard character encoding, converting the URL from the non-standard character encoding to a URL standard encoding. | 0.531425 |
1. A method for processing voice commands, performed at a portable electronic device with one or more processors and memory storing instructions for execution by the one or more processors, the method comprising: in response to user input, recording at least a portion of a voice command on the portable electronic device; when recording the portion of the voice command on the portable electronic device, storing contextual information of the portable electronic device; after recording the portion of the voice command at the portable electronic device, uploading the portion of the voice command and the stored contextual information from the portable electronic device to remote computing equipment; receiving, from the remote computing equipment, results associated with processing the portion of the voice command and the stored contextual information; and presenting the results. | 1. A method for processing voice commands, performed at a portable electronic device with one or more processors and memory storing instructions for execution by the one or more processors, the method comprising: in response to user input, recording at least a portion of a voice command on the portable electronic device; when recording the portion of the voice command on the portable electronic device, storing contextual information of the portable electronic device; after recording the portion of the voice command at the portable electronic device, uploading the portion of the voice command and the stored contextual information from the portable electronic device to remote computing equipment; receiving, from the remote computing equipment, results associated with processing the portion of the voice command and the stored contextual information; and presenting the results. 8. The method of claim 1 , wherein the contextual information is contact information associated with a party to a previous telephone call. | 0.650435 |
7. A non-transitory computer-readable medium storing software comprising instructions executable by one or more computers which, upon such execution, cause the one or more computers to perform operations comprising: receiving, by a mobile computing device that is (i) configured to process voice commands that are preceded by a predefined hotword, and (ii) is in proximity to another mobile computing device that is also configured to process voice commands that are preceded by the same, predefined hotword, an audio input representing an utterance by the speaker of a voice command that is preceded by the predefined hotword; while receiving the audio input representing the utterance by the speaker of the voice command that is preceded by the predefined hotword, performing, by the mobile computing device, an operation; after receiving the audio input representing the utterance by the speaker of the voice command that is preceded by the predefined hotword, receiving an ultrasonic signal from the other mobile computing device; in response to receiving the ultrasonic signal from the other mobile computing device, (i) placing the mobile device into a sleep mode, (ii) bypassing, by the mobile computing device, further processing of the voice command, (iii) bypassing, by the mobile computing device, emitting an ultrasonic signal, and (iv) bypassing, by the mobile computing device, outputting a visual indication that the mobile computing device is processing the voice command; and while receiving the ultrasonic signal from the other mobile computing device and bypassing processing of the voice command, continuing, by the mobile computing device, to perform the operation without interruption. | 7. A non-transitory computer-readable medium storing software comprising instructions executable by one or more computers which, upon such execution, cause the one or more computers to perform operations comprising: receiving, by a mobile computing device that is (i) configured to process voice commands that are preceded by a predefined hotword, and (ii) is in proximity to another mobile computing device that is also configured to process voice commands that are preceded by the same, predefined hotword, an audio input representing an utterance by the speaker of a voice command that is preceded by the predefined hotword; while receiving the audio input representing the utterance by the speaker of the voice command that is preceded by the predefined hotword, performing, by the mobile computing device, an operation; after receiving the audio input representing the utterance by the speaker of the voice command that is preceded by the predefined hotword, receiving an ultrasonic signal from the other mobile computing device; in response to receiving the ultrasonic signal from the other mobile computing device, (i) placing the mobile device into a sleep mode, (ii) bypassing, by the mobile computing device, further processing of the voice command, (iii) bypassing, by the mobile computing device, emitting an ultrasonic signal, and (iv) bypassing, by the mobile computing device, outputting a visual indication that the mobile computing device is processing the voice command; and while receiving the ultrasonic signal from the other mobile computing device and bypassing processing of the voice command, continuing, by the mobile computing device, to perform the operation without interruption. 14. The medium of claim 7 , wherein the operation comprises playing a video. | 0.844612 |
8. The system of claim 7 , further comprising a polarity dictionary database to store polarity words related to sentiment information, wherein the sentiment analyzer further comprises a polarity detection unit to compare text in the first subset of the documents to the polarity words, and wherein the polarity detection unit identifies a second subset of the documents matching a polarity word. | 8. The system of claim 7 , further comprising a polarity dictionary database to store polarity words related to sentiment information, wherein the sentiment analyzer further comprises a polarity detection unit to compare text in the first subset of the documents to the polarity words, and wherein the polarity detection unit identifies a second subset of the documents matching a polarity word. 9. The system of claim 8 , wherein the syntactic parser parses the sentence within the document from the first subset of the documents and identifies parts-of-speech. | 0.88046 |
27. The system of claim 26 wherein the set of essential data elements includes an identification data element, invoice adjustment base data element, a billing data element, a status data element, and a list of invoice adjustment line item details data element. | 27. The system of claim 26 wherein the set of essential data elements includes an identification data element, invoice adjustment base data element, a billing data element, a status data element, and a list of invoice adjustment line item details data element. 28. The system of claim 27 wherein the common invoice adjustment data object format includes at least one complex data element. | 0.95117 |
40. The computer readable storage medium of claim 23 , wherein the one or more programs further comprise: instructions for-updating the web crawl interval of a document after retrieving a new copy of the document's content from its host and detecting content changes to the document based on the new copy. | 40. The computer readable storage medium of claim 23 , wherein the one or more programs further comprise: instructions for-updating the web crawl interval of a document after retrieving a new copy of the document's content from its host and detecting content changes to the document based on the new copy. 44. The computer readable storage medium of claim 40 , wherein the web crawl interval is updated in accordance with the first average interval if the first average interval is greater than the second average interval and the document's content has not changed, and is updated in accordance with the second average interval if the document's content has changed. | 0.905569 |
10. The computer-implemented method of claim 9 , further comprising assessing which query plan of the plurality of query plans answers the query in a least amount of time. | 10. The computer-implemented method of claim 9 , further comprising assessing which query plan of the plurality of query plans answers the query in a least amount of time. 11. The computer-implemented method of claim 10 , wherein the assessing includes using cost-based optimization to determine a most efficient query plan. | 0.941176 |
1. A method of text visualization comprising the steps of: providing a natural language text fragment comprising a number of sentences; conducting a semantic analysis of the text fragment to produce a structured semantic net thereof with a text fragment action sequence; processing the structured semantic net of the text fragment to generate an initial three-dimensional scene in accordance with the text fragment action sequence; processing the structured semantic net of the text fragment to generate other three-dimensional scenes according to the text fragment action sequence; compiling the generated three-dimensional scenes into a video clip or a set of pictures; and visualizing the video clip or set of pictures. | 1. A method of text visualization comprising the steps of: providing a natural language text fragment comprising a number of sentences; conducting a semantic analysis of the text fragment to produce a structured semantic net thereof with a text fragment action sequence; processing the structured semantic net of the text fragment to generate an initial three-dimensional scene in accordance with the text fragment action sequence; processing the structured semantic net of the text fragment to generate other three-dimensional scenes according to the text fragment action sequence; compiling the generated three-dimensional scenes into a video clip or a set of pictures; and visualizing the video clip or set of pictures. 6. The method according to claim 1 , wherein the semantic analysis is performed automatically. | 0.662465 |
45. The method of claim 39 , further comprising the steps of: displaying an operating menu; and displaying at least one user-link in the operating menu. | 45. The method of claim 39 , further comprising the steps of: displaying an operating menu; and displaying at least one user-link in the operating menu. 47. The method of claim 45 , further comprising the step of setting a reminder for an upcoming television program. | 0.961997 |
1. A method for training and using an object classifier to identify a class object from a captured image, the method comprising the steps of: (a) obtaining a plurality of still images from training data; (b) applying a feature generation technique to the plurality of still images of the training data for identifying candidate features from each respective image, wherein applying the feature generation technique further comprises the steps of: identifying a comparative image of a known object; randomly extracting a fragment from the comparative image; comparing the extracted fragment to each of the plurality of still images, wherein each still image is partitioned into a plurality of image sections that are identified by an image position, wherein the fragment and each image position are compared using a feature descriptor technique; determining a similarity score between the fragment and each image position in each image; identifying the respective image position having a highest similarity score in each respective image; compiling a group of fragments that have the highest similarity score from each respective image; (c) selecting a subset of features from the candidate features using a similarity comparison technique; (d) iteratively repeating steps (a) through (c) a predetermined number of times as a function of the selected subset of features identified in step (c); (e) generating a trained object classifier; (f) capturing an image from an image capture device; (g) classifying features in the captured image using the trained object classifier; and (h) determining whether the captured image contains a class object based on the trained object classifier associating an identified feature in the image with the class object. | 1. A method for training and using an object classifier to identify a class object from a captured image, the method comprising the steps of: (a) obtaining a plurality of still images from training data; (b) applying a feature generation technique to the plurality of still images of the training data for identifying candidate features from each respective image, wherein applying the feature generation technique further comprises the steps of: identifying a comparative image of a known object; randomly extracting a fragment from the comparative image; comparing the extracted fragment to each of the plurality of still images, wherein each still image is partitioned into a plurality of image sections that are identified by an image position, wherein the fragment and each image position are compared using a feature descriptor technique; determining a similarity score between the fragment and each image position in each image; identifying the respective image position having a highest similarity score in each respective image; compiling a group of fragments that have the highest similarity score from each respective image; (c) selecting a subset of features from the candidate features using a similarity comparison technique; (d) iteratively repeating steps (a) through (c) a predetermined number of times as a function of the selected subset of features identified in step (c); (e) generating a trained object classifier; (f) capturing an image from an image capture device; (g) classifying features in the captured image using the trained object classifier; and (h) determining whether the captured image contains a class object based on the trained object classifier associating an identified feature in the image with the class object. 15. The method of claim 1 wherein step (d) further includes transforming new features from the selected feature using additional feature details. | 0.585142 |
3. The system of claim 1 , wherein the method further comprises: determining a business object among the tables that identifies a main table among the tables which provides information for linking the related tables. | 3. The system of claim 1 , wherein the method further comprises: determining a business object among the tables that identifies a main table among the tables which provides information for linking the related tables. 4. The system of claim 3 , wherein the business object is a representation of an intelligible business or non-business entity, such as an account, an order, employee, an invoice or a financial report. | 0.869481 |
15. A non-transitory computer-readable medium having instructions for a method of storing a secondary copy of an original data set on a cloud storage site, wherein executing the instructions with a processor of a computing device causes the processor to perform the method, comprising: receiving, with the computing device, a primary copy of an original data set; updating, with the computing device, a content index to reflect at least some of data content in the original data set; identifying, with the computing device, a target cloud storage site on which to store a secondary copy of the original data set, wherein a network connection is to be established between the target cloud storage site and a media file system agent, and wherein the established network connection has an associated latency and bandwidth; determining, with the computing device, a size for a container file to utilize when deduplicating the primary copy of the original data set, wherein the container file size is determined at least in part on the latency, bandwidth, or both, associated with the network connection to be established; deduplicating, with the computing device, at least some of the data content in the primary copy in order to create one or more container files containing deduplicated data, wherein at least one of the container files has the determined size; establishing, with the computing device, the network connection between the target cloud storage site and the media file system agent; and transferring, with the computing device, the one or more container files to the target cloud storage site. | 15. A non-transitory computer-readable medium having instructions for a method of storing a secondary copy of an original data set on a cloud storage site, wherein executing the instructions with a processor of a computing device causes the processor to perform the method, comprising: receiving, with the computing device, a primary copy of an original data set; updating, with the computing device, a content index to reflect at least some of data content in the original data set; identifying, with the computing device, a target cloud storage site on which to store a secondary copy of the original data set, wherein a network connection is to be established between the target cloud storage site and a media file system agent, and wherein the established network connection has an associated latency and bandwidth; determining, with the computing device, a size for a container file to utilize when deduplicating the primary copy of the original data set, wherein the container file size is determined at least in part on the latency, bandwidth, or both, associated with the network connection to be established; deduplicating, with the computing device, at least some of the data content in the primary copy in order to create one or more container files containing deduplicated data, wherein at least one of the container files has the determined size; establishing, with the computing device, the network connection between the target cloud storage site and the media file system agent; and transferring, with the computing device, the one or more container files to the target cloud storage site. 17. The computer-readable medium of claim 15 , wherein determining the size for the container file further comprises: determining at least two of the following factors: an estimate of the latency associated with the network connection established to the identified target cloud storage site; an estimate of the bandwidth associated with the network connection established to the identified target cloud storage site; whether the target cloud storage site imposes a restriction on a namespace associated with the target cloud storage site; whether the target cloud storage site permits sparsification of data files; a pricing structure used by the target cloud storage site, a maximum container file size specified by a user or by a storage policy; and a minimum container file size specified by a user or by a storage policy; and performing an optimization to establish a container size reflecting the determined two or more factors. | 0.64542 |
1. A method of identifying a workload type concentration for a given workload, the method comprising: producing a plurality of performance snapshots of a training set, the training set comprising a plurality of training workloads, each training workload predetermined to elicit a particular database behavior associated with a known workload type, the workload type comprising one of an Online Transactional Processing (OLTP) type and a Decision Support System (DSS) type, an OLTP type characterized by short simple database queries with many concurrent users, a DSS type characterized by long complex database queries with few concurrent users, each performance snapshot comprising database behavior across a predetermined time interval and classified as one of OLTP and DSS; extracting a set of attributes from the training set; constructing a set of rules based on the classification of the plurality of performance snapshots and the set of attributes, the set of rules organized into a decision tree having a rule per tree node, each node of the decision tree configured for testing an attribute related to the workload type; selecting a sample of the given workload; and identifying the workload type concentration of the selected sample based on a comparison between a plurality of performance snapshots from the selected sample and the set of rules, the workload type concentration comprising a combination of OLTP and DSS, wherein a database may be more accurately tuned based on the workload type concentration, thereby enhancing database performance. | 1. A method of identifying a workload type concentration for a given workload, the method comprising: producing a plurality of performance snapshots of a training set, the training set comprising a plurality of training workloads, each training workload predetermined to elicit a particular database behavior associated with a known workload type, the workload type comprising one of an Online Transactional Processing (OLTP) type and a Decision Support System (DSS) type, an OLTP type characterized by short simple database queries with many concurrent users, a DSS type characterized by long complex database queries with few concurrent users, each performance snapshot comprising database behavior across a predetermined time interval and classified as one of OLTP and DSS; extracting a set of attributes from the training set; constructing a set of rules based on the classification of the plurality of performance snapshots and the set of attributes, the set of rules organized into a decision tree having a rule per tree node, each node of the decision tree configured for testing an attribute related to the workload type; selecting a sample of the given workload; and identifying the workload type concentration of the selected sample based on a comparison between a plurality of performance snapshots from the selected sample and the set of rules, the workload type concentration comprising a combination of OLTP and DSS, wherein a database may be more accurately tuned based on the workload type concentration, thereby enhancing database performance. 3. The method of claim 1 further comprising determining whether the workload type concentration identification is acceptable. | 0.785714 |
24. The computer-implemented method according to claim 1 , wherein a PPS comprises a plurality of classification levels defining the payment, the plurality of classification levels comprising: a driving element level including a set of driving elements used to encode the service provider activity at a transactional level; a group level including a set of groups, each group mapping one or more driving elements to a particular payment rate; and a category level including a set of categories, each category being mapped to one or more of the groups according to predetermined industry classification schemes. | 24. The computer-implemented method according to claim 1 , wherein a PPS comprises a plurality of classification levels defining the payment, the plurality of classification levels comprising: a driving element level including a set of driving elements used to encode the service provider activity at a transactional level; a group level including a set of groups, each group mapping one or more driving elements to a particular payment rate; and a category level including a set of categories, each category being mapped to one or more of the groups according to predetermined industry classification schemes. 25. The computer-implemented method according to claim 24 , wherein the summary variables comprise one of: summary variables calculated across the driving element level, calculated within the driving elements, calculated across the group level, calculated within the groups, calculated across the category level, and calculated within the categories. | 0.849748 |
14. A computer system for controlling one or more drones to respond to a request for information, comprising: one or more computer processors; one or more non-transitory computer-readable storage media; program instructions, stored on the one or more non-transitory computer-readable storage media, which when implemented by the one or more processors, cause the computer system to perform the steps of: receiving a natural language request for information about a spatial location; parsing the natural language request into a plurality of data requests; searching for existing sources for the plurality of data requests; determining that there are one or more existing sources for one or more of the plurality of data requests; analyzing the existing sources to obtain first data responsive to the plurality of data requests; determining that there are no existing sources for two or more of the plurality of data requests and identifying the data requests with no existing source as missing data requests; configuring a flight plan for one or more drones over the spatial location based on the plurality of data requests and based on the missing data requests; controlling one or more drones to fly over the spatial location according to the configured flight plan to obtain a plurality of data types from the spatial location based on the plurality of data requests and based on the missing data requests; extracting a plurality of data points responsive to the plurality of data requests from the plurality of data types obtained by the one or more drones; obtaining labels from a user for one or more of the plurality of data points; determining whether there are unlabeled data points; predicting labels for the unlabeled data points from a learning algorithm using the labels obtained from the user; determining the predicted labels are true labels for the unlabeled data points; analyzing the responsive data to provide an answer to the natural language request for information, the analyzing including combining the first data, the user labeled data points and the true labeled data points to provide an answer to the first natural language request for information. | 14. A computer system for controlling one or more drones to respond to a request for information, comprising: one or more computer processors; one or more non-transitory computer-readable storage media; program instructions, stored on the one or more non-transitory computer-readable storage media, which when implemented by the one or more processors, cause the computer system to perform the steps of: receiving a natural language request for information about a spatial location; parsing the natural language request into a plurality of data requests; searching for existing sources for the plurality of data requests; determining that there are one or more existing sources for one or more of the plurality of data requests; analyzing the existing sources to obtain first data responsive to the plurality of data requests; determining that there are no existing sources for two or more of the plurality of data requests and identifying the data requests with no existing source as missing data requests; configuring a flight plan for one or more drones over the spatial location based on the plurality of data requests and based on the missing data requests; controlling one or more drones to fly over the spatial location according to the configured flight plan to obtain a plurality of data types from the spatial location based on the plurality of data requests and based on the missing data requests; extracting a plurality of data points responsive to the plurality of data requests from the plurality of data types obtained by the one or more drones; obtaining labels from a user for one or more of the plurality of data points; determining whether there are unlabeled data points; predicting labels for the unlabeled data points from a learning algorithm using the labels obtained from the user; determining the predicted labels are true labels for the unlabeled data points; analyzing the responsive data to provide an answer to the natural language request for information, the analyzing including combining the first data, the user labeled data points and the true labeled data points to provide an answer to the first natural language request for information. 16. The computer system of claim 14 , wherein controlling the one or more drones includes displaying the real-time telemetry and real-time flight conditions on a user interface (UI) in a mobile application. | 0.687534 |
10. The topic modeling system as recited in claim 1 , wherein the minimizing the first equation while holding the topic-document matrix V fixed includes the regularization of column vectors of the term-topic matrix U, and the minimizing the first equation while holding the term-topic matrix U fixed includes the regularization of column vectors of the topic-document matrix V. | 10. The topic modeling system as recited in claim 1 , wherein the minimizing the first equation while holding the topic-document matrix V fixed includes the regularization of column vectors of the term-topic matrix U, and the minimizing the first equation while holding the term-topic matrix U fixed includes the regularization of column vectors of the topic-document matrix V. 11. The topic modeling system as recited in claim 10 , wherein the regularization of column vectors of the term-topic matrix U is based on an l 1 norm and the regularization column vectors of the topic-document matrix V is based on an l 2 norm. | 0.913146 |
6. A non-transitory, computer readable storage medium having instructions stored thereon that, when executed by a computer, implement a training method for an N-gram language model, the method comprising: reading recognition results obtained as a result of speech recognition of speech data; acquiring a reliability for each of the read recognition results; referring to each recognition result's acquired reliability to select a subset of one or more N-gram entries based upon their respective reliabilities; and training the N-gram language model for one of more entries of the subset of N-gram entries using all recognition results, wherein the processing device is further configured to select each of the N-gram entries, whose sum of a first number of appearances in a first corpus as a set of all the recognition results and a second number of appearances in a second corpus as a subset of the recognition results with the reliability higher than or equal to a predetermined threshold value exceeds a predetermined number of times. | 6. A non-transitory, computer readable storage medium having instructions stored thereon that, when executed by a computer, implement a training method for an N-gram language model, the method comprising: reading recognition results obtained as a result of speech recognition of speech data; acquiring a reliability for each of the read recognition results; referring to each recognition result's acquired reliability to select a subset of one or more N-gram entries based upon their respective reliabilities; and training the N-gram language model for one of more entries of the subset of N-gram entries using all recognition results, wherein the processing device is further configured to select each of the N-gram entries, whose sum of a first number of appearances in a first corpus as a set of all the recognition results and a second number of appearances in a second corpus as a subset of the recognition results with the reliability higher than or equal to a predetermined threshold value exceeds a predetermined number of times. 9. The computer readable storage medium of claim 6 , wherein a posterior probability of a text unit obtained upon speech recognition of the speech data is used as the reliability in the acquiring. | 0.762332 |
1. A method for performing recognition of speech in reply to a prompt, the method comprising: storing a data set, in a dialog manager module, the data set including a plurality of information items and a corresponding set of one or more improbable values for each of the plurality of information items, the one or more improbable values for each of the plurality of information items comprising one or more values that are not valid for the information item based on a context of the prompt; receiving a plurality of recognized ordered interpretations from an automatic speech recognition (ASR) engine, the plurality of recognized ordered interpretations each including a plurality of received information items; and comparing a value of one of the plurality of received information items for a first recognized ordered interpretation to the data set to determine if the value of the one of the received information items matches any of the set of one or more improbable values for the information item. | 1. A method for performing recognition of speech in reply to a prompt, the method comprising: storing a data set, in a dialog manager module, the data set including a plurality of information items and a corresponding set of one or more improbable values for each of the plurality of information items, the one or more improbable values for each of the plurality of information items comprising one or more values that are not valid for the information item based on a context of the prompt; receiving a plurality of recognized ordered interpretations from an automatic speech recognition (ASR) engine, the plurality of recognized ordered interpretations each including a plurality of received information items; and comparing a value of one of the plurality of received information items for a first recognized ordered interpretation to the data set to determine if the value of the one of the received information items matches any of the set of one or more improbable values for the information item. 7. The method of claim 1 , further including deleting a first two recognized ordered interpretations if the value of the one of the received information items for the first recognized ordered interpretation matches one of the set of one or more improbable values for the corresponding information item in the data set. | 0.573955 |
9. One or more tangible, non-transitory computer-readable media comprising: a custom knowledgebase comprising a plurality of assertions that have been automatically extracted from a plurality of publications, wherein each of the plurality of assertions encodes a relationship between a subject and an object; a sequence dataset comprising a plurality of called biological sequences, wherein each of the plurality of called biological sequences is associated with one or more of the plurality of assertions of the custom knowledgebase; and a client application configured to: compare a plurality of sample biological sequences to the plurality of called biological sequences of the sequence dataset; and determine, for at least one sample biological sequence that resembles a called biological sequence of the sequence dataset, one or more probable characteristics associated with that sample biological sequence using one or more assertions of the custom knowledgebase that are associated with the called biological sequence that resembles that sample biological sequence, wherein the at least one sample biological sequence is not in the sequence dataset. | 9. One or more tangible, non-transitory computer-readable media comprising: a custom knowledgebase comprising a plurality of assertions that have been automatically extracted from a plurality of publications, wherein each of the plurality of assertions encodes a relationship between a subject and an object; a sequence dataset comprising a plurality of called biological sequences, wherein each of the plurality of called biological sequences is associated with one or more of the plurality of assertions of the custom knowledgebase; and a client application configured to: compare a plurality of sample biological sequences to the plurality of called biological sequences of the sequence dataset; and determine, for at least one sample biological sequence that resembles a called biological sequence of the sequence dataset, one or more probable characteristics associated with that sample biological sequence using one or more assertions of the custom knowledgebase that are associated with the called biological sequence that resembles that sample biological sequence, wherein the at least one sample biological sequence is not in the sequence dataset. 10. The one or more tangible, non-transitory computer-readable media of claim 9 , wherein the plurality of assertions automatically extracted from the plurality of publications have also been manually edited by one or more subject matter experts in a biological field of the custom knowledgebase. | 0.617359 |
13. One or more computer-readable media storing computer-executable instructions that, when executed on one or more processors, cause the one or more processors to perform acts comprising: determining a score for a word of a plurality of words of an electronic book, wherein the determining is based at least in part on: a difficulty value of the word based at least in part on a frequency of occurrence of the word in a corpus of writings; a contextual importance of the word within the electronic book; and the word having two or more meanings in a first language that are present in the electronic book; and based at least in part on the score, determining a comprehension guide to be presented with the word. | 13. One or more computer-readable media storing computer-executable instructions that, when executed on one or more processors, cause the one or more processors to perform acts comprising: determining a score for a word of a plurality of words of an electronic book, wherein the determining is based at least in part on: a difficulty value of the word based at least in part on a frequency of occurrence of the word in a corpus of writings; a contextual importance of the word within the electronic book; and the word having two or more meanings in a first language that are present in the electronic book; and based at least in part on the score, determining a comprehension guide to be presented with the word. 14. One or more computer-readable media as recited in claim 13 , the acts further comprising: determining a score for each of the plurality of words; and ranking each of the plurality of words based at least in part on respective scores. | 0.801358 |
23. The system of claim 22 wherein the enriching component is configured to create conceptual or explicit meanings for the managed objects of the current static network element object model using frame logic primitives to represent managed object sub-classes, containments, and association relationships. | 23. The system of claim 22 wherein the enriching component is configured to create conceptual or explicit meanings for the managed objects of the current static network element object model using frame logic primitives to represent managed object sub-classes, containments, and association relationships. 24. The system of claim 23 wherein the workflow building component is configured to collect dedicated or external knowledge to provide workflows, and wherein the generated formal configuration workflows are configured to automatically collect data required for configuration workflows and to distribute data to configuration tasks. | 0.878848 |
15. A non-transitory computer-readable memory device comprising: one or more instructions which, when executed by at least one processor, cause the at least one processor to: determine, at a first time, a first set of topics relating to content within a document; determine, at a second time, a second set of topics relating to the content within the document, the second time being different than the first time; identify a change in a quantity of topics between the first set of topics and the second set of topics; generate a score for the document based on the change in the quantity of topics; and rank the document with regard to at least one other document based on the score. | 15. A non-transitory computer-readable memory device comprising: one or more instructions which, when executed by at least one processor, cause the at least one processor to: determine, at a first time, a first set of topics relating to content within a document; determine, at a second time, a second set of topics relating to the content within the document, the second time being different than the first time; identify a change in a quantity of topics between the first set of topics and the second set of topics; generate a score for the document based on the change in the quantity of topics; and rank the document with regard to at least one other document based on the score. 18. The computer-readable memory device of claim 15 , where the one or more instructions to determine the first set of topics relating to the content within the document further cause the at least one processor to determine the first set of topics based on: a categorization of the document, a Universal Resource Locator (URL) analysis of the document, an analysis of the content of the document, a clustering of the document, or a summarization of the document. | 0.542341 |
11. The method of claim 10 further comprising defining and displaying a plurality of selectable topics for narrowing search results such that only search results relating to a selected topic are displayed. | 11. The method of claim 10 further comprising defining and displaying a plurality of selectable topics for narrowing search results such that only search results relating to a selected topic are displayed. 12. The method of claim 11 wherein the topics are displayed in a changeable order determined at least in part by document viewing selections made by users in previous searches. | 0.962136 |
1. A computer-implemented method comprising: capturing, during a first time period, first audio using a first microphone; capturing, during the first time period, second audio using a second microphone; determining first audio data corresponding to the first audio; determining second audio data corresponding to the second audio; determining, using at least the first audio data and the second audio data, third audio data corresponding to a first direction; determining, using at least the first audio data and the second audio data, fourth audio data corresponding to a second direction; and processing the third audio data and the fourth audio data with a neural network classifier to determine that the third audio data better represents speech than does the fourth audio data. | 1. A computer-implemented method comprising: capturing, during a first time period, first audio using a first microphone; capturing, during the first time period, second audio using a second microphone; determining first audio data corresponding to the first audio; determining second audio data corresponding to the second audio; determining, using at least the first audio data and the second audio data, third audio data corresponding to a first direction; determining, using at least the first audio data and the second audio data, fourth audio data corresponding to a second direction; and processing the third audio data and the fourth audio data with a neural network classifier to determine that the third audio data better represents speech than does the fourth audio data. 9. The computer-implemented method of claim 1 , wherein processing the third audio data and the fourth audio data comprises: determining a first frame of the third audio data; determining a second frame preceding the first frame; and determining, based at least on the second frame, that the first frame represents at least part of the speech. | 0.737003 |
2. A computer program product comprising a non-transitory computer readable medium having computer readable program code for assisting machine translation, said computer program product including: computer useable program code configured to monitor a dialog of at least one user with a translation apparatus, wherein said translation is performed between two different languages; computer useable program code configured to analyze a first portion of said dialog to develop at least one suggestion for translating a next word string in a second portion of said dialog desired to be translated by referring to a log of a previous dialog of the at least one user or of one or more other users with the translation apparatus, wherein the log includes one or more suggested translation inputs previously chosen by the at least one user or the one or more other users, and wherein said first portion of said dialog comprises different dialog than said second portion of said dialog; and computer useable program code configured to format said next word string for display to said at least one user. | 2. A computer program product comprising a non-transitory computer readable medium having computer readable program code for assisting machine translation, said computer program product including: computer useable program code configured to monitor a dialog of at least one user with a translation apparatus, wherein said translation is performed between two different languages; computer useable program code configured to analyze a first portion of said dialog to develop at least one suggestion for translating a next word string in a second portion of said dialog desired to be translated by referring to a log of a previous dialog of the at least one user or of one or more other users with the translation apparatus, wherein the log includes one or more suggested translation inputs previously chosen by the at least one user or the one or more other users, and wherein said first portion of said dialog comprises different dialog than said second portion of said dialog; and computer useable program code configured to format said next word string for display to said at least one user. 4. The computer program product of claim 2 , further including: computer useable program code configured to use the suggested translation inputs previously chosen by the at least one user or the one or more other users to sort out translation candidates for the dialog and predict a future statement of the at least one user. | 0.5 |
14. The system of claim 13 , wherein the operations further comprise: maintaining a lyrics index database that associates song lyrics with lyrics resources that include the song lyrics, wherein determining that the query is a music query further comprises determining that a lyrics resource of the lyrics index database includes song lyrics that match one or more terms of the query. | 14. The system of claim 13 , wherein the operations further comprise: maintaining a lyrics index database that associates song lyrics with lyrics resources that include the song lyrics, wherein determining that the query is a music query further comprises determining that a lyrics resource of the lyrics index database includes song lyrics that match one or more terms of the query. 16. The system of claim 14 , wherein maintaining a list of music sites comprises: determining an initial list of music sites; and determining one or more additional music sites that co-occur as search results with music sites in the initial list of music sites with a frequency that satisfies a threshold; and adding the one or more additional music sites to the list of music sites. | 0.8049 |
12. The system of claim 11 , further comprising an opinion database unit coupled to said opinion analysis module and said multi-dimensional visualization engine, said opinion database unit including a database containing identification information of each retrieved document, topic extracted from said each retrieved document, relevant metadata, and opinion scores of said each retrieved documents. | 12. The system of claim 11 , further comprising an opinion database unit coupled to said opinion analysis module and said multi-dimensional visualization engine, said opinion database unit including a database containing identification information of each retrieved document, topic extracted from said each retrieved document, relevant metadata, and opinion scores of said each retrieved documents. 13. The system of claim 12 , further comprising an opinion cache unit operatively coupled to said opinion database unit and said multi-dimensional visualization engine, said opinion cache unit operatively coupled to said opinion database unit and said multi-dimensional visualization engine, said opinion cache unit including a high-speed in-memory server containing precomputed data. | 0.929429 |
26. A non-transitory machine readable media storing instructions structured to cause an apparatus to: provide a web-based visual editor structured to facilitate generation of a markup language version of the dynamic document, the markup language version of the dynamic document including first data indicative of a dynamic field; convert the markup language version of the dynamic document to a stylesheet version of the dynamic document, the stylesheet version of the dynamic document including second data indicative of the dynamic field; and deploy the stylesheet version of the dynamic document via a network, wherein when the stylesheet version of the dynamic document is executed by a first user, the dynamic field is associated with a first instance of field data to generate a first output document, and when the stylesheet version of the dynamic document is executed by a second different user, the dynamic field is associated with a second different instance of field data to generate a second output document, wherein the first output document and the second output document are in at least one of a PDF form and an RTF form that is outputted to respective client devices of the first and second users, and wherein the markup language version of the dynamic document is displayed as an XHTML page within a web browser at a designer terminal that provides the web-based visual editor, the stylesheet version of the dynamic document is an XSL:FO file stored at an application server, and the first and second output documents are at least one of PDF and RTF files stored locally at respective client devices of the first and second users, the client devices being located remotely from the application server. | 26. A non-transitory machine readable media storing instructions structured to cause an apparatus to: provide a web-based visual editor structured to facilitate generation of a markup language version of the dynamic document, the markup language version of the dynamic document including first data indicative of a dynamic field; convert the markup language version of the dynamic document to a stylesheet version of the dynamic document, the stylesheet version of the dynamic document including second data indicative of the dynamic field; and deploy the stylesheet version of the dynamic document via a network, wherein when the stylesheet version of the dynamic document is executed by a first user, the dynamic field is associated with a first instance of field data to generate a first output document, and when the stylesheet version of the dynamic document is executed by a second different user, the dynamic field is associated with a second different instance of field data to generate a second output document, wherein the first output document and the second output document are in at least one of a PDF form and an RTF form that is outputted to respective client devices of the first and second users, and wherein the markup language version of the dynamic document is displayed as an XHTML page within a web browser at a designer terminal that provides the web-based visual editor, the stylesheet version of the dynamic document is an XSL:FO file stored at an application server, and the first and second output documents are at least one of PDF and RTF files stored locally at respective client devices of the first and second users, the client devices being located remotely from the application server. 36. The non-transitory machine readable media of claim 26 , wherein the instructions are further structured to cause an apparatus to enable the first user to create a logical expression using the web-based visual editor. | 0.57492 |
8. A non-transitory, computer-readable medium storing computer-readable instructions executable by a hardware computer processor to: select a process integration (PI) scenario definition and a desired party with which to establish communication using an interface; determine at least one semantic contract associated with the selected PI scenario definition, wherein the at least one semantic contract specifies one or more related message interfaces with particular operations and signatures that are provided or consumed in an interaction between computing parties along with additional constraints, wherein the interaction is described by means of a set of operations, clustered into interfaces with a single shared interface definition between the computing parties, wherein the definition introduces detailed constraints requiring an explicit definition of valid uses of the interaction, and wherein, for each particular interaction, one definition of the interaction is established as binding on each computing party and forms a basis for a single data model of an interface for the particular interaction; query the desired party to determine familiarity with the selected PI scenario definition and the at least one semantic contract; analyze known contract definitions with contract usages for each determined semantic contract to generate first party analysis results; compute an intersection between the first party analysis results and corresponding received analysis results received from the desired party; determine an agreed upon set of processing types with the desired party by performing an intersection with contract usage processing types exchanged with the desired party; and generate a technical specification for a message signature based upon the agreed upon set of processing types. | 8. A non-transitory, computer-readable medium storing computer-readable instructions executable by a hardware computer processor to: select a process integration (PI) scenario definition and a desired party with which to establish communication using an interface; determine at least one semantic contract associated with the selected PI scenario definition, wherein the at least one semantic contract specifies one or more related message interfaces with particular operations and signatures that are provided or consumed in an interaction between computing parties along with additional constraints, wherein the interaction is described by means of a set of operations, clustered into interfaces with a single shared interface definition between the computing parties, wherein the definition introduces detailed constraints requiring an explicit definition of valid uses of the interaction, and wherein, for each particular interaction, one definition of the interaction is established as binding on each computing party and forms a basis for a single data model of an interface for the particular interaction; query the desired party to determine familiarity with the selected PI scenario definition and the at least one semantic contract; analyze known contract definitions with contract usages for each determined semantic contract to generate first party analysis results; compute an intersection between the first party analysis results and corresponding received analysis results received from the desired party; determine an agreed upon set of processing types with the desired party by performing an intersection with contract usage processing types exchanged with the desired party; and generate a technical specification for a message signature based upon the agreed upon set of processing types. 14. The medium of claim 8 , further comprising instructions to exchange a message with the desired party using the implemented interface. | 0.688427 |
17. A method comprising: presenting a map including a viewport showing a first location; receiving an indication that a user is interacting with the map, including panning, scrolling, repositioning, or zooming, to enable to enable one or more intermediate locations to be visible in the viewport, without submitting a query for any of the intermediate locations; determining, by one or more processors, that user interaction with the map has slowed to a level to allow for perception of content without necessarily having arrived at a final, different location, where the portion of the viewport at this time shows a second, different location; based on determining that user interaction with the map has slowed to a level to allow for perception of content, automatically submitting a query for the second, different location; receiving query results responsive to the query; and presenting the query results along with the viewport showing the second, different location. | 17. A method comprising: presenting a map including a viewport showing a first location; receiving an indication that a user is interacting with the map, including panning, scrolling, repositioning, or zooming, to enable to enable one or more intermediate locations to be visible in the viewport, without submitting a query for any of the intermediate locations; determining, by one or more processors, that user interaction with the map has slowed to a level to allow for perception of content without necessarily having arrived at a final, different location, where the portion of the viewport at this time shows a second, different location; based on determining that user interaction with the map has slowed to a level to allow for perception of content, automatically submitting a query for the second, different location; receiving query results responsive to the query; and presenting the query results along with the viewport showing the second, different location. 23. The method of claim 17 where determining that user interaction with the map has slowed is based at least in part on a relative acceleration of a user's panning movement. | 0.667908 |
1. A computer implemented method of automatically processing dynamic business rules in a content management system, comprising: authoring first business rules in a first business rule definition file in the content management system, wherein the authoring is processed using a computer with a computer processor; configuring the first business rules in the first business rule definition file; setting a predetermined action regarding whether to stop processing the first business rules after a first violation of one of the first business rules: classifying the first business rules into stages of data processing actions on the first business rules; creating a first set of the first business rules for testing first input data for validity with respect to numeric and relationship categories; creating a second set of the first business rules for performing first operations on the first input data; creating a third set of the first business rules which provide a mechanism that initiates further action after a content management repository is updated; classifying fourth business rulesets according to different first action types and business ruleset types; managing the first business rules in the first business rule definition file; receiving a set of second input data to which the first business rules apply; determining whether updated data from the user needs to be stored in the content management repository and processed; mapping the first business rules to the set of second input data to identify the first business rules required by the set of second input data; executing the identified first business rules against different backend data models; monitoring the identified first business rules to determine if a new business rule is introduced; updating the first business rule definition file to reflect the new business rule; updating the business rule definition file during the processing of at least two of: the first business rules, the first input data, and the second input data; executing the updated first business rule definition file; and displaying the updated first business file on a display unit, wherein the first business rules are dynamic and are based on the set of second input data stored in the content management repository, to enable querying of the content management repository based on foreign key relationships to auto-fill the fields. | 1. A computer implemented method of automatically processing dynamic business rules in a content management system, comprising: authoring first business rules in a first business rule definition file in the content management system, wherein the authoring is processed using a computer with a computer processor; configuring the first business rules in the first business rule definition file; setting a predetermined action regarding whether to stop processing the first business rules after a first violation of one of the first business rules: classifying the first business rules into stages of data processing actions on the first business rules; creating a first set of the first business rules for testing first input data for validity with respect to numeric and relationship categories; creating a second set of the first business rules for performing first operations on the first input data; creating a third set of the first business rules which provide a mechanism that initiates further action after a content management repository is updated; classifying fourth business rulesets according to different first action types and business ruleset types; managing the first business rules in the first business rule definition file; receiving a set of second input data to which the first business rules apply; determining whether updated data from the user needs to be stored in the content management repository and processed; mapping the first business rules to the set of second input data to identify the first business rules required by the set of second input data; executing the identified first business rules against different backend data models; monitoring the identified first business rules to determine if a new business rule is introduced; updating the first business rule definition file to reflect the new business rule; updating the business rule definition file during the processing of at least two of: the first business rules, the first input data, and the second input data; executing the updated first business rule definition file; and displaying the updated first business file on a display unit, wherein the first business rules are dynamic and are based on the set of second input data stored in the content management repository, to enable querying of the content management repository based on foreign key relationships to auto-fill the fields. 10. The method of claim 1 , wherein the first business rules trigger external actions. | 0.65704 |
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