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9,281,952 | 18 | 19 | 18. The computer program product of claim 14 wherein the instant messaging message is selected from a plurality of archived instant messaging messages previously communicated during a past instant messaging. | 18. The computer program product of claim 14 wherein the instant messaging message is selected from a plurality of archived instant messaging messages previously communicated during a past instant messaging. 19. The computer program product of claim 18 further comprising functional descriptive material that causes the data processing system to perform additional actions that include: maintaining the count corresponding to each of the keywords that matches the one or more words; prompting a user whether to add the first instant messaging participant to the selected instant messaging group in response to one of the counts corresponding to at least one of the keywords exceeding the predetermined threshold; and receiving an answer from the user in response to the prompting, wherein the adding is only performed in response to the user answering that the first instant messaging participant should be added to the selected instant messaging group. | 0.5 |
9,262,535 | 16 | 20 | 16. A system comprising: an organizational tool at a first client computer, wherein the organizational tool is configured to: present a plurality of content items, wherein the plurality of content items are received from one or more sources, via a network, at the first client computer, and wherein each of the plurality of content items is a copy of a content item or a reference to a content item; receive a first user's interactions with the plurality of content items, wherein the first user's interactions comprise steps to organize the plurality of content items within a first local hierarchy of folders maintained by the organizational tool; and transmit the first user's interactions, via the network, to a server computer; and a policy engine at the server computer, wherein the policy engine is configured to determine whether to update a global hierarchy of folders comprising the plurality of content items based on the first user's interactions and interactions of at least one other user. | 16. A system comprising: an organizational tool at a first client computer, wherein the organizational tool is configured to: present a plurality of content items, wherein the plurality of content items are received from one or more sources, via a network, at the first client computer, and wherein each of the plurality of content items is a copy of a content item or a reference to a content item; receive a first user's interactions with the plurality of content items, wherein the first user's interactions comprise steps to organize the plurality of content items within a first local hierarchy of folders maintained by the organizational tool; and transmit the first user's interactions, via the network, to a server computer; and a policy engine at the server computer, wherein the policy engine is configured to determine whether to update a global hierarchy of folders comprising the plurality of content items based on the first user's interactions and interactions of at least one other user. 20. The system of claim 16 , wherein the first user's interactions include deleting at least one of the plurality of content items within the first local hierarchy of folders. | 0.781796 |
8,015,138 | 1 | 4 | 1. A computerized medical self-diagnostic system comprising: a memory in a computing device configured to store a data structure, wherein data in the data structure is referenced by specification of a plurality of attributes representative of a medical condition of a patient; an interface configured to receive at least one attribute via a direct interactive dialogue between a patient and the computing device, wherein the data structure remains unchanged by the receiving at least one attribute via direct interactive dialogue, wherein a first stored attribute corresponds to a cause of disease and a second stored attribute corresponds to an anatomic system stored in said data structure; and a processor in a computing device, in data communication with the memory, configured to make a self-diagnosis of a new and changing health condition of and to the patient without input from a health care provider based on the data in the data structure and the specification of at least one attribute determined via said direct interactive dialogue. | 1. A computerized medical self-diagnostic system comprising: a memory in a computing device configured to store a data structure, wherein data in the data structure is referenced by specification of a plurality of attributes representative of a medical condition of a patient; an interface configured to receive at least one attribute via a direct interactive dialogue between a patient and the computing device, wherein the data structure remains unchanged by the receiving at least one attribute via direct interactive dialogue, wherein a first stored attribute corresponds to a cause of disease and a second stored attribute corresponds to an anatomic system stored in said data structure; and a processor in a computing device, in data communication with the memory, configured to make a self-diagnosis of a new and changing health condition of and to the patient without input from a health care provider based on the data in the data structure and the specification of at least one attribute determined via said direct interactive dialogue. 4. The system of claim 1 , wherein each cause of disease is subdivided into subcauses of disease. | 0.767943 |
9,697,833 | 8 | 12 | 8. One or more non-transitory computer readable media comprising instructions that, when executed by a processor, cause the processor to perform steps comprising: receiving, by a computing device, audiovisual input comprising audio input and video input associated with a subject; extracting, by the computing device, visual features from the video input; applying, by the computing device, a scattering operation to the extracted visual features to generate a vector of scattering coefficients in a first dimensional space; providing the vector of scattering coefficients as input to a first neural network for visual processing; providing the audio input to a second neural network for audio processing; comparing, by the computing device, a first output of the first neural network with a second output of the second neural network to determine a synchrony state of the audio input and the video input, wherein the synchrony state indicates whether the audio input is in-sync with the video input; and storing the synchrony state of the audio input and the video input. | 8. One or more non-transitory computer readable media comprising instructions that, when executed by a processor, cause the processor to perform steps comprising: receiving, by a computing device, audiovisual input comprising audio input and video input associated with a subject; extracting, by the computing device, visual features from the video input; applying, by the computing device, a scattering operation to the extracted visual features to generate a vector of scattering coefficients in a first dimensional space; providing the vector of scattering coefficients as input to a first neural network for visual processing; providing the audio input to a second neural network for audio processing; comparing, by the computing device, a first output of the first neural network with a second output of the second neural network to determine a synchrony state of the audio input and the video input, wherein the synchrony state indicates whether the audio input is in-sync with the video input; and storing the synchrony state of the audio input and the video input. 12. The computer readable media of claim 8 , wherein applying the scattering operation to the extracted visual features to generate a vector of visual scattering features in a first dimensional space comprises: applying the scattering operation to the extracted visual features to generate a second scattering vector in a second dimensional space; and projecting the second scattering vector into the first dimensional space to generate the vector of visual scattering features in the first dimensional space, wherein the second dimensional space is of a higher dimensionality than the first dimensional space. | 0.535769 |
8,181,163 | 1 | 4 | 1. At a computer system, a method for synthesizing one or more code fragments in a software routine using one or more known inputs and corresponding expected outputs for portions of the software routine, the method comprising: an act of providing a software routine with one or more known inputs and corresponding one or more expected outputs for the software routine; an act of inferring software routine instructions based on the known inputs and corresponding expected outputs; and an act of synthesizing a correctly functioning code fragment based on the inferred instructions for use in the software routine. | 1. At a computer system, a method for synthesizing one or more code fragments in a software routine using one or more known inputs and corresponding expected outputs for portions of the software routine, the method comprising: an act of providing a software routine with one or more known inputs and corresponding one or more expected outputs for the software routine; an act of inferring software routine instructions based on the known inputs and corresponding expected outputs; and an act of synthesizing a correctly functioning code fragment based on the inferred instructions for use in the software routine. 4. The method of claim 1 , further comprising using a factor graph to describe relationships between variables used in one or more program executions, the program executions being optimized by one or more of belief propagation, sampling techniques, variational inference methods and gradient descent. | 0.5 |
7,640,563 | 7 | 13 | 7. A method implemented by a computing device including one or more processors, the method comprising: receiving a first description that identifies a first genre associated with media content and a second description that identifies a second genre associated with the media content, wherein the first and second genres respectively represent first and second types of media content; determining a first trust level associated with a first description provider from which the first description is received; determining a second trust level associated with a second description provider from which the second description is received; utilizing the one or more processors for determining a first degree based on the first trust level and a second degree based on the second trust level; assigning the first degree to the first genre and the second degree to the second genre to indicate how relative the first and second genres are to the media content; and providing for display, a representation of the media content, wherein the representation of the media content comprises an indication of how relative the first and second genres are to the media content. | 7. A method implemented by a computing device including one or more processors, the method comprising: receiving a first description that identifies a first genre associated with media content and a second description that identifies a second genre associated with the media content, wherein the first and second genres respectively represent first and second types of media content; determining a first trust level associated with a first description provider from which the first description is received; determining a second trust level associated with a second description provider from which the second description is received; utilizing the one or more processors for determining a first degree based on the first trust level and a second degree based on the second trust level; assigning the first degree to the first genre and the second degree to the second genre to indicate how relative the first and second genres are to the media content; and providing for display, a representation of the media content, wherein the representation of the media content comprises an indication of how relative the first and second genres are to the media content. 13. The method as recited in claim 7 , further comprising: receiving a third description that identifies the second genre associated with the media content. | 0.895161 |
9,971,746 | 1 | 12 | 1. A computer-implemented method, comprising: accessing a first resource belonging to a particular domain; selecting an anchor in the first resource linking to a second resource belonging to the particular domain to which the first resource belongs; identifying particular text content in the first resource that is subordinate to and proximate to the anchor; determining, by one or more computers, whether the second resource includes the particular text content that is subordinate to and proximate to the anchor in the first resource linking to the second resource belonging to the particular domain; in response to determining that the second resource includes the particular text content that is subordinate to and proximate to the anchor in the first resource linking to the second resource belonging to the particular domain, generating a domain template for the particular domain to which the first resource and the second resource belong and that specifies, a location of the particular text content in the second resource; determining one or more resources belonging to the particular domain that have a structure matching the domain template; determining, for each respective resource belonging to the particular domain having a structure matching the domain template, respective text content that is subordinate to the anchor for the respective resource; determining that a particular one of the respective resources is responsive to a search query; and in response to determining that the particular one of the respective resources is responsive to a search query, providing the respective text content that is subordinate to the anchor for the respective resource in response to the search query in a form of a snippet for the particular one of the respective resources in a search results page. | 1. A computer-implemented method, comprising: accessing a first resource belonging to a particular domain; selecting an anchor in the first resource linking to a second resource belonging to the particular domain to which the first resource belongs; identifying particular text content in the first resource that is subordinate to and proximate to the anchor; determining, by one or more computers, whether the second resource includes the particular text content that is subordinate to and proximate to the anchor in the first resource linking to the second resource belonging to the particular domain; in response to determining that the second resource includes the particular text content that is subordinate to and proximate to the anchor in the first resource linking to the second resource belonging to the particular domain, generating a domain template for the particular domain to which the first resource and the second resource belong and that specifies, a location of the particular text content in the second resource; determining one or more resources belonging to the particular domain that have a structure matching the domain template; determining, for each respective resource belonging to the particular domain having a structure matching the domain template, respective text content that is subordinate to the anchor for the respective resource; determining that a particular one of the respective resources is responsive to a search query; and in response to determining that the particular one of the respective resources is responsive to a search query, providing the respective text content that is subordinate to the anchor for the respective resource in response to the search query in a form of a snippet for the particular one of the respective resources in a search results page. 12. The method of claim 1 , comprising: in response to determining that a third resource belonging to the particular domain does not include particular text content that is subordinate to and proximate to an anchor in the first resource linking to the third resource, determining not to generate a domain template for the particular domain to which the first resource and the third resource belong and that specifies a location of the particular text content in the third resource. | 0.731285 |
9,135,245 | 8 | 10 | 8. A system for filtering content based on acquiring data associated with language identification, comprising: a computing device having a processor and a memory including instructions, which when executed by the processor, provides: a language preference model for acquiring data associated with language identification from a plurality of sources associated with the content of an interactive program guide, performing an analysis of the acquired data associated with language identification to determine which source of the plurality of sources associated with the content of an interactive program guide has a highest priority, and in response to performing the analysis, processing the acquired data to utilize the source with the highest priority to identify a preferred language of the interactive program guide based on the analysis of the acquired data associated with language identification; and a recommendation engine, in response to performing the analysis, receiving the identified preferred language from the language preference model and filtering content presented in the interactive program guide based on the identified preferred language, wherein filtering content presented in the interactive program guide based on a preferred language identified comprises the computing device filtering data based on a parameter associated with and obtained from a user device or based on the user's use of the user device. | 8. A system for filtering content based on acquiring data associated with language identification, comprising: a computing device having a processor and a memory including instructions, which when executed by the processor, provides: a language preference model for acquiring data associated with language identification from a plurality of sources associated with the content of an interactive program guide, performing an analysis of the acquired data associated with language identification to determine which source of the plurality of sources associated with the content of an interactive program guide has a highest priority, and in response to performing the analysis, processing the acquired data to utilize the source with the highest priority to identify a preferred language of the interactive program guide based on the analysis of the acquired data associated with language identification; and a recommendation engine, in response to performing the analysis, receiving the identified preferred language from the language preference model and filtering content presented in the interactive program guide based on the identified preferred language, wherein filtering content presented in the interactive program guide based on a preferred language identified comprises the computing device filtering data based on a parameter associated with and obtained from a user device or based on the user's use of the user device. 10. The system of claim 8 , wherein the language preference model applies a mathematical model to the acquired data to provide a recommendation of a preferred language. | 0.760684 |
8,990,087 | 17 | 24 | 17. A method for obtaining and rendering audio based on text in an electronic book (eBook), the method comprising: sending, from an eBook reader device, a request to download the eBook; receiving, at the eBook reader device, the eBook, a supplemental pronunciation database, and specified voice information for synthesizing speech in a specified voice; synthesizing a first speech for a first portion of text in the eBook based at least in part on a pronunciation from the supplemental pronunciation database for portions of text which have pronunciations in the supplemental pronunciation database; synthesizing a second speech for a second portion of text in the eBook based at least in part on a pronunciation from a default pronunciation database for portions of text which do not have pronunciations in the supplemental pronunciation database; synthesizing a third speech for a third portion of text in the eBook based at least in part on the specified voice for portions of text which are specified to be synthesized with the specified voice; and synthesizing a fourth speech for a fourth portion of text based at least in part on a default voice for portions of text which do not have any specified voice. | 17. A method for obtaining and rendering audio based on text in an electronic book (eBook), the method comprising: sending, from an eBook reader device, a request to download the eBook; receiving, at the eBook reader device, the eBook, a supplemental pronunciation database, and specified voice information for synthesizing speech in a specified voice; synthesizing a first speech for a first portion of text in the eBook based at least in part on a pronunciation from the supplemental pronunciation database for portions of text which have pronunciations in the supplemental pronunciation database; synthesizing a second speech for a second portion of text in the eBook based at least in part on a pronunciation from a default pronunciation database for portions of text which do not have pronunciations in the supplemental pronunciation database; synthesizing a third speech for a third portion of text in the eBook based at least in part on the specified voice for portions of text which are specified to be synthesized with the specified voice; and synthesizing a fourth speech for a fourth portion of text based at least in part on a default voice for portions of text which do not have any specified voice. 24. The method of claim 17 , further comprising storing the eBook, the supplemental pronunciation database, and the specified voice information on the eBook reader device. | 0.598592 |
8,612,205 | 1 | 15 | 1. A method for generating word alignments from pairs of aligned text strings comprising: from a corpus of text strings, receiving a pair of text strings comprising a first text string in a first language and a second text string in a second language; with a first alignment tool, generating a first alignment between the first and second text strings which creates links between the first and second text string, each link linking a single token of the first text string to a single token of the second text string, the tokens of the first and second text strings including words; with a second alignment tool, generating a second alignment between the first and second text strings which creates links between the first and second text strings, each link linking at least one token of the first text string to at least one token of the second text string, and generating a modified first alignment by selectively modifying links in the first alignment which include a word which is infrequent in the corpus, based on links generated in the second alignment, the selective modification of the links comprising identifying links in the first alignment to be retained which include the infrequent word and a linked target word where there is a corresponding link present in the second alignment which includes the infrequent word and the same linked target word and identifying for removal, at least a portion of the links in the first alignment which include the infrequent word and a linked target word for which there is no corresponding link between the infrequent word and the linked target word in the second alignment, wherein the generation of at least one of the first, second, and modified alignments is performed with a computer processor. | 1. A method for generating word alignments from pairs of aligned text strings comprising: from a corpus of text strings, receiving a pair of text strings comprising a first text string in a first language and a second text string in a second language; with a first alignment tool, generating a first alignment between the first and second text strings which creates links between the first and second text string, each link linking a single token of the first text string to a single token of the second text string, the tokens of the first and second text strings including words; with a second alignment tool, generating a second alignment between the first and second text strings which creates links between the first and second text strings, each link linking at least one token of the first text string to at least one token of the second text string, and generating a modified first alignment by selectively modifying links in the first alignment which include a word which is infrequent in the corpus, based on links generated in the second alignment, the selective modification of the links comprising identifying links in the first alignment to be retained which include the infrequent word and a linked target word where there is a corresponding link present in the second alignment which includes the infrequent word and the same linked target word and identifying for removal, at least a portion of the links in the first alignment which include the infrequent word and a linked target word for which there is no corresponding link between the infrequent word and the linked target word in the second alignment, wherein the generation of at least one of the first, second, and modified alignments is performed with a computer processor. 15. The method of claim 1 , further comprising extracting bi-phrases based on the links in the modified alignment. | 0.865882 |
4,202,041 | 2 | 12 | 2. A system in accordance with claim 1 and further including means capable of making symbol codes available to one or more facilities which are external to said keyboard terminal system. | 2. A system in accordance with claim 1 and further including means capable of making symbol codes available to one or more facilities which are external to said keyboard terminal system. 12. A system in accordance with claim 2 wherein the symbol information associated with the symbols of a working symbol set may include, if applicable, an alternative set of symbol codes associated with a specified symbol, said last-named means being capable of making available either the symbol code normally associated with said specified symbol or the alternative set of symbol codes associated therewith. | 0.5 |
10,162,815 | 1 | 7 | 1. A dialog knowledge acquisition system comprising: a hardware processor and a memory; an input module and an output module controlled by the hardware processor; the memory storing a dialog manager configured to instantiate a persistent interactive personality (PIP) and a dialog graph having a plurality of linked dialog state nodes; the hardware processor configured to execute the dialog manager to: receive a dialog initiation data via the input module; identify a first state node on the dialog graph corresponding to the dialog initiation data; determine a dialog interaction by the PIP based on the dialog initiation data and the first state node; render the dialog interaction via the output module, wherein the output module renders the dialog interaction as at least one of a speech, a facial expression, and a gesture being performed by one of a robot and an avatar; receive a user response corresponding to the dialog interaction via the input module; perform a strict dialog execution policy such that the user response is only mapped to semantically equivalent children of the first state node; perform a relaxed dialog execution policy such that the user response is mapped to the plurality of linked dialog state nodes outside the children of the first state node, upon registering a dialog failure; identify a second state node on the dialog graph based on the dialog initiation data, the dialog interaction, and the user response; and utilize the dialog initiation data, the first state node, the dialog interaction, the user response, and the second state node to train the dialog graph for subsequent dialog interactions by the PIP. | 1. A dialog knowledge acquisition system comprising: a hardware processor and a memory; an input module and an output module controlled by the hardware processor; the memory storing a dialog manager configured to instantiate a persistent interactive personality (PIP) and a dialog graph having a plurality of linked dialog state nodes; the hardware processor configured to execute the dialog manager to: receive a dialog initiation data via the input module; identify a first state node on the dialog graph corresponding to the dialog initiation data; determine a dialog interaction by the PIP based on the dialog initiation data and the first state node; render the dialog interaction via the output module, wherein the output module renders the dialog interaction as at least one of a speech, a facial expression, and a gesture being performed by one of a robot and an avatar; receive a user response corresponding to the dialog interaction via the input module; perform a strict dialog execution policy such that the user response is only mapped to semantically equivalent children of the first state node; perform a relaxed dialog execution policy such that the user response is mapped to the plurality of linked dialog state nodes outside the children of the first state node, upon registering a dialog failure; identify a second state node on the dialog graph based on the dialog initiation data, the dialog interaction, and the user response; and utilize the dialog initiation data, the first state node, the dialog interaction, the user response, and the second state node to train the dialog graph for subsequent dialog interactions by the PIP. 7. The dialog knowledge acquisition system of claim 1 , wherein the output module comprises a display, and wherein the dialog interaction is rendered as text on the display. | 0.893995 |
9,911,043 | 10 | 13 | 10. A non-transitory computer-readable storage medium storing instructions, which when executed by a computer system, perform operations for analyzing a scene depicted in an input stream of video frames captured by a video camera, the instructions comprising instructions to: receive at least two sequences, each sequence of the at least two sequences corresponding to a segment of a trajectory taken by a respective object through the scene; determine, via one or more processors, whether the objects interact based on a spatio-temporal proximity of the objects; and if the objects interact: map each sequence of the at least two sequences to a sequence cluster, retrieve, from an ngram trie, a learned joint probability indicating a likelihood of a given sequence cluster pair from a plurality of sequence cluster pairs occurring in the scene, the ngram trie including a plurality of nodes, the (liven sequence cluster pair being represented jointly by a first node in a first layer of the ngram trie and a second node in a second layer of the ngram trie, the first node and the second node representing sequence clusters in the (liven sequence cluster pair, and determine a rareness value for each sequence cluster pair of the plurality of sequence cluster pairs based on learned joint probabilities of sequence cluster pairs and a frequency of a most frequently observed sequence cluster pair, the rareness value based on R ij = 1 - f ij f max , where f ij is a frequency with which sequence cluster pair {C i , C j } has been observed and f max is the frequency of the most frequently observed sequence cluster pair; determine, using a statistical anomaly model, an anomaly temperature for the rareness value, wherein the anomaly temperature indicates a frequency of occurrence of the rareness value; and upon determination that one or more reporting criteria are met based at least on the anomaly temperature, report the interaction. | 10. A non-transitory computer-readable storage medium storing instructions, which when executed by a computer system, perform operations for analyzing a scene depicted in an input stream of video frames captured by a video camera, the instructions comprising instructions to: receive at least two sequences, each sequence of the at least two sequences corresponding to a segment of a trajectory taken by a respective object through the scene; determine, via one or more processors, whether the objects interact based on a spatio-temporal proximity of the objects; and if the objects interact: map each sequence of the at least two sequences to a sequence cluster, retrieve, from an ngram trie, a learned joint probability indicating a likelihood of a given sequence cluster pair from a plurality of sequence cluster pairs occurring in the scene, the ngram trie including a plurality of nodes, the (liven sequence cluster pair being represented jointly by a first node in a first layer of the ngram trie and a second node in a second layer of the ngram trie, the first node and the second node representing sequence clusters in the (liven sequence cluster pair, and determine a rareness value for each sequence cluster pair of the plurality of sequence cluster pairs based on learned joint probabilities of sequence cluster pairs and a frequency of a most frequently observed sequence cluster pair, the rareness value based on R ij = 1 - f ij f max , where f ij is a frequency with which sequence cluster pair {C i , C j } has been observed and f max is the frequency of the most frequently observed sequence cluster pair; determine, using a statistical anomaly model, an anomaly temperature for the rareness value, wherein the anomaly temperature indicates a frequency of occurrence of the rareness value; and upon determination that one or more reporting criteria are met based at least on the anomaly temperature, report the interaction. 13. The computer-readable storage medium of claim 10 , wherein the ngram trie is updated based on observed sequence cluster pairs. | 0.887153 |
10,108,879 | 9 | 11 | 9. A non-transitory computer-readable storage medium containing instructions that, when executed by one or more processors, perform an operation for creating an aggregate training data set corresponding to a document type, the operation comprising: for each document of a document type in a set of documents: receiving the document type, wherein the document type identifies a type of content that is common to a plurality of documents of the set of documents; receiving input corresponding to a text sample in the document; receiving an image of the text sample in the document; for each of a plurality of candidate presentation styles: training an OCR processing engine using a training data set corresponding to the candidate presentation style; identifying text in the image of the text sample; producing OCR processing results for the document and the candidate presentation style using the OCR processing engine as trained; comparing the OCR processing results to the input corresponding to the text sample; and calculating a score for the candidate presentation style based on the comparison; ranking the candidate presentation styles based on the score calculated for each candidate presentation style; selecting a candidate presentation style for the document based on the ranking; and storing the selected candidate presentation style for the document with respect to the document type; and combining the training data set corresponding to the selected candidate presentation style for each document of the document type in the set of documents to create an aggregate training data set for the document type. | 9. A non-transitory computer-readable storage medium containing instructions that, when executed by one or more processors, perform an operation for creating an aggregate training data set corresponding to a document type, the operation comprising: for each document of a document type in a set of documents: receiving the document type, wherein the document type identifies a type of content that is common to a plurality of documents of the set of documents; receiving input corresponding to a text sample in the document; receiving an image of the text sample in the document; for each of a plurality of candidate presentation styles: training an OCR processing engine using a training data set corresponding to the candidate presentation style; identifying text in the image of the text sample; producing OCR processing results for the document and the candidate presentation style using the OCR processing engine as trained; comparing the OCR processing results to the input corresponding to the text sample; and calculating a score for the candidate presentation style based on the comparison; ranking the candidate presentation styles based on the score calculated for each candidate presentation style; selecting a candidate presentation style for the document based on the ranking; and storing the selected candidate presentation style for the document with respect to the document type; and combining the training data set corresponding to the selected candidate presentation style for each document of the document type in the set of documents to create an aggregate training data set for the document type. 11. The non-transitory computer-readable storage medium of claim 9 , the operation further comprising: determining a time required to identify text in the image of the text sample and produce OCR processing results for each candidate presentation style. | 0.753891 |
4,624,591 | 7 | 8 | 7. In a word processing system having an interactive display terminal, a printer subsystem including means for receiving a selected one of a plurality of character font elements having character fonts, the pitch of the character font elements being different from each other, means for selectively impacting selected characters from said respective character font elements along lines in a document, and means for controlling the selection of font elements and characters to provide a selected document format, the improvement wherein said controlling means includes means for controlling printing with at least two font elements of different pitch along a single line, said printing controlling means further including means for receiving format data including a specified pitch value and character data including the selected characters for impacting, pitch register means for storing the specified pitch value, means for providing said character data and said pitch value in said pitch register means to said impacting means, and test means for determining when said format data includes a change in pitch value and for stopping said character data and said pitch value from said pitch register means from being provided to the impacting means until the test means has stored said changed pitch value in said pitch register means. | 7. In a word processing system having an interactive display terminal, a printer subsystem including means for receiving a selected one of a plurality of character font elements having character fonts, the pitch of the character font elements being different from each other, means for selectively impacting selected characters from said respective character font elements along lines in a document, and means for controlling the selection of font elements and characters to provide a selected document format, the improvement wherein said controlling means includes means for controlling printing with at least two font elements of different pitch along a single line, said printing controlling means further including means for receiving format data including a specified pitch value and character data including the selected characters for impacting, pitch register means for storing the specified pitch value, means for providing said character data and said pitch value in said pitch register means to said impacting means, and test means for determining when said format data includes a change in pitch value and for stopping said character data and said pitch value from said pitch register means from being provided to the impacting means until the test means has stored said changed pitch value in said pitch register means. 8. The word processing system of claim 7 wherein said controlling means further includes means for displaying on said terminal a message indicating to the operator that a change from one of said two font elements to the other must be made. | 0.5 |
8,601,062 | 22 | 23 | 22. The computer readable storage medium of claim 20 , wherein the portion of the conversation includes first text information relevant to at least one search term of the search query. | 22. The computer readable storage medium of claim 20 , wherein the portion of the conversation includes first text information relevant to at least one search term of the search query. 23. The computer readable storage medium of claim 22 , wherein the portion of the conversation further includes second text information associated with text surrounding the first text information. | 0.5 |
8,145,911 | 16 | 18 | 16. A method for electronically executing an electronic document, comprising: receiving, from a computer, identification information associated with a signatory user; identifying, on a display, a first unexecuted electronic document that requires execution by the first signatory user; identifying, on the display, a first signature location within the first unexecuted electronic document; receiving, from the computer, a first user command identifying the assent of the signatory user to have a later captured signature applied to the first unexecuted electronic document at the first signature location; identifying, on the display, at least one additional signature location within the first unexecuted electronic document; for each at least one additional signature location, receiving, from the computer, at least one additional user command identifying the assent of the signatory user to have the later captured signature applied to the first unexecuted electronic document at the first signature location; at some time after the first user command and the at least one additional user commands are received from the computer, using an electronic signature pad to electronically capture a representation of a handwritten signature of the signatory user; in response to capturing the signature of the signatory user, creating a first executed document by applying the electronic signature of the signatory user to the first signature location and to each at least one additional signature location within the first unexecuted electronic document; receiving a second user command from the first computer identifying the presence of a notary user with the signatory user; and in response to receiving the second user command, electronically executing the at least one unexecuted document by applying official electronic notarization indicia associated with the notary user to the at least one unexecuted document to create at least one electronically executed document, the official electronic notarization indicia certifying the presence of the notary user at the execution of the at least one executed and certified electronic document by the user and identifying the notary user as a registered and valid notary meeting at least one jurisdictional requirement. | 16. A method for electronically executing an electronic document, comprising: receiving, from a computer, identification information associated with a signatory user; identifying, on a display, a first unexecuted electronic document that requires execution by the first signatory user; identifying, on the display, a first signature location within the first unexecuted electronic document; receiving, from the computer, a first user command identifying the assent of the signatory user to have a later captured signature applied to the first unexecuted electronic document at the first signature location; identifying, on the display, at least one additional signature location within the first unexecuted electronic document; for each at least one additional signature location, receiving, from the computer, at least one additional user command identifying the assent of the signatory user to have the later captured signature applied to the first unexecuted electronic document at the first signature location; at some time after the first user command and the at least one additional user commands are received from the computer, using an electronic signature pad to electronically capture a representation of a handwritten signature of the signatory user; in response to capturing the signature of the signatory user, creating a first executed document by applying the electronic signature of the signatory user to the first signature location and to each at least one additional signature location within the first unexecuted electronic document; receiving a second user command from the first computer identifying the presence of a notary user with the signatory user; and in response to receiving the second user command, electronically executing the at least one unexecuted document by applying official electronic notarization indicia associated with the notary user to the at least one unexecuted document to create at least one electronically executed document, the official electronic notarization indicia certifying the presence of the notary user at the execution of the at least one executed and certified electronic document by the user and identifying the notary user as a registered and valid notary meeting at least one jurisdictional requirement. 18. The method of claim 16 , further comprising: receiving a notary user command from a notary user, the user command identifying the assent of the notary user to the certification of the first unexecuted electronic document; and in response to receiving the third user command, applying official notarization indicia associated with the notary user to the first unexecuted electronic document, the official notarization indicia certifying the presence of the notary user at the execution of the first unexecuted electronic document by the signatory user and identifying the notary user as a registered and valid notary meeting at least one jurisdictional requirement. | 0.675413 |
8,745,081 | 1 | 5 | 1. A method of providing news, comprising: receiving, by a processor, a request for news articles from a user; identifying, by the processor, a geographic location of the requesting user; accessing, by the processor, user logs comprising other users' prior selections of news articles; identifying, by the processor, from the user logs, sources of news items selected by other users with respective geographic locations that are determined to match the requesting user's geographic location; eliminating, by the processor, news sources that are popular across a plurality of user groups; selecting, by the processor subsequent to the elimination, a subset of the news sources as preferred news sources for obtaining relevant news items; obtaining, by the processor, the relevant news items from the selected news sources; and transmitting, by the processor, the relevant news items for presentation to the requesting user. | 1. A method of providing news, comprising: receiving, by a processor, a request for news articles from a user; identifying, by the processor, a geographic location of the requesting user; accessing, by the processor, user logs comprising other users' prior selections of news articles; identifying, by the processor, from the user logs, sources of news items selected by other users with respective geographic locations that are determined to match the requesting user's geographic location; eliminating, by the processor, news sources that are popular across a plurality of user groups; selecting, by the processor subsequent to the elimination, a subset of the news sources as preferred news sources for obtaining relevant news items; obtaining, by the processor, the relevant news items from the selected news sources; and transmitting, by the processor, the relevant news items for presentation to the requesting user. 5. The method of claim 1 , the geographic location of the requesting user is derived from one of an IP address or GPS information of a device employed by the requesting user. | 0.661479 |
9,138,591 | 1 | 24 | 1. An external medical device, comprising: a housing; an energy storage module within the housing for storing an electrical charge; a defibrillation port for guiding via electrodes the stored electrical charge to a person; a user interface structured to deliver prompts to a user during a defibrillation session; and a language detector in the housing structured to determine a vicinity language, in which the prompts delivered by the user interface to the user during the defibrillation session are in a language that is selected based on the determined vicinity language, and further in which the language detector includes an optical character recognition (OCR) module, or both a voice recognition module and an OCR module. | 1. An external medical device, comprising: a housing; an energy storage module within the housing for storing an electrical charge; a defibrillation port for guiding via electrodes the stored electrical charge to a person; a user interface structured to deliver prompts to a user during a defibrillation session; and a language detector in the housing structured to determine a vicinity language, in which the prompts delivered by the user interface to the user during the defibrillation session are in a language that is selected based on the determined vicinity language, and further in which the language detector includes an optical character recognition (OCR) module, or both a voice recognition module and an OCR module. 24. The device of claim 1 , in which the user interface is structured to present two or more language options to the user, and in which the two or more language options are similar to each other. | 0.646739 |
10,026,328 | 9 | 10 | 9. The healthcare diagnosis training and evaluation system of claim 7 , further comprising a loop-back feature to enable the student to modify a committed differential diagnosis list, order new simulated medical tests, associate the new simulated medical tests with the committed differential diagnosis list, and review results of the new simulated medical tests in a multiple number of loop-back iterations. | 9. The healthcare diagnosis training and evaluation system of claim 7 , further comprising a loop-back feature to enable the student to modify a committed differential diagnosis list, order new simulated medical tests, associate the new simulated medical tests with the committed differential diagnosis list, and review results of the new simulated medical tests in a multiple number of loop-back iterations. 10. The healthcare diagnosis training and evaluation system of claim 9 , wherein the loop-back feature is part of the advanced student test mode for dynamic differential diagnosis. | 0.5 |
8,095,869 | 13 | 14 | 13. The system of claim 12 , further comprising: means for determining whether the count for the counter of the target document equals zero. | 13. The system of claim 12 , further comprising: means for determining whether the count for the counter of the target document equals zero. 14. The system of claim 13 , wherein if the counter equals zero, further comprising: means for sending a message to an author of the target document asking whether the author wants to delete the target document from the storage. | 0.5 |
6,138,270 | 57 | 91 | 57. A computer-readable memory medium comprising program instructions for detecting differences between first and second graphical programs, wherein the program instructions execute on a computer including a display, wherein the program instructions are executable to implement: determining differences between said first graphical program and said second graphical program, wherein said first graphical program and said second gaphical program each comprise graphical code; and displaying an indication of said differences on the display; wherein said differences are used to evaluate at least one of the first graphical program and the second graphical program. | 57. A computer-readable memory medium comprising program instructions for detecting differences between first and second graphical programs, wherein the program instructions execute on a computer including a display, wherein the program instructions are executable to implement: determining differences between said first graphical program and said second graphical program, wherein said first graphical program and said second gaphical program each comprise graphical code; and displaying an indication of said differences on the display; wherein said differences are used to evaluate at least one of the first graphical program and the second graphical program. 91. The memory medium of claim 57, wherein the first graphical program comprises interconnected graphical objects which specify operation of the first graphical program, and wherein the second graphical program comprises interconnected graphical objects which specify operation of the second graphical program. | 0.787671 |
7,725,291 | 3 | 5 | 3. A method for conducting a hypothesis test to at least one data set, the method comprising using a computer to carry out the steps of: A. selecting a plurality of statistical tests applicable to the at least one data set having a variety of characteristics and establishing conventions associated with each test of the plurality of tests; B. determining the appropriate test including seeking indications regarding the data set and the plurality of statistical tests; C. characterizing the data set, including establishing test criteria, selecting an appropriate reference test value depending on the test selected; and eliciting an indication of a description of the data of interest; D. constructing null and alternative hypothesis statements, including defining the null hypothesis based on the selected test and assumed conventions relating to the selected test and the indications of the test criteria and population description, providing a confirmatory notification of the null hypothesis statement, defining an inequality statement for the alternative hypothesis based on the selected test and assumed conventions relating to the selected test and indications of the test criteria and population description, providing a confirmatory notification of the alternative hypothesis statement; E. seeking an indication of a significance level; F. conducting the selected test; and G. stating a conclusion, including calculating the values of the test statistic, calculating cut-off values, confidential intervals, and calculating p-values; comparing the calculated p-value to the indicated significance level, comparing the value of the test statistic to one or more of the reference values, the cut-off values or confidence intervals in view of the null hypothesis statement; and stating a conclusion in terms of the selected test, indicated test criteria and population descriptions whether to reject the null hypothesis or not to reject the null hypothesis based on the comparing step, and stating the basis for the conclusion using the results of the comparing step and the population descriptions. | 3. A method for conducting a hypothesis test to at least one data set, the method comprising using a computer to carry out the steps of: A. selecting a plurality of statistical tests applicable to the at least one data set having a variety of characteristics and establishing conventions associated with each test of the plurality of tests; B. determining the appropriate test including seeking indications regarding the data set and the plurality of statistical tests; C. characterizing the data set, including establishing test criteria, selecting an appropriate reference test value depending on the test selected; and eliciting an indication of a description of the data of interest; D. constructing null and alternative hypothesis statements, including defining the null hypothesis based on the selected test and assumed conventions relating to the selected test and the indications of the test criteria and population description, providing a confirmatory notification of the null hypothesis statement, defining an inequality statement for the alternative hypothesis based on the selected test and assumed conventions relating to the selected test and indications of the test criteria and population description, providing a confirmatory notification of the alternative hypothesis statement; E. seeking an indication of a significance level; F. conducting the selected test; and G. stating a conclusion, including calculating the values of the test statistic, calculating cut-off values, confidential intervals, and calculating p-values; comparing the calculated p-value to the indicated significance level, comparing the value of the test statistic to one or more of the reference values, the cut-off values or confidence intervals in view of the null hypothesis statement; and stating a conclusion in terms of the selected test, indicated test criteria and population descriptions whether to reject the null hypothesis or not to reject the null hypothesis based on the comparing step, and stating the basis for the conclusion using the results of the comparing step and the population descriptions. 5. The method set forth in claim 3 wherein the plurality of tests includes at least one of: one proportion Z-test, one proportion binomial test, two proportion Z-test, multi proportion Chi-square test, one mean Z-test, one mean t-test, two means Z-test, two sample t-test; F-test Anova, Chi square test, F-ratio test, One Sample Sign Test, Paired Samples Sign Test, One Sample Wilcoxon Signed Ranks Test, Paired Samples Wilcoxon Signed Ranks Test, Mann Whitney Wilcoxon Test, Kruskal Wallis Test, and The Friedman Test. | 0.5 |
7,716,057 | 17 | 18 | 17. A computer implemented method comprising: with at least one processor, performing steps comprising: determining that a user desires to engage in a dialog; turning on a speech recognition function with a listening horizon, the length of the listening horizon is initially set as a function of the subject matter of the dialog; listening for an utterance of the user until an utterance is detected or the listening horizon expires; determining whether the detected utterance is recognized with a confidence above a threshold; when the utterance is recognized with a confidence above the threshold: determining whether the utterance represents a deliberation; and when the utterance does not represent a deliberation, turning off the speech recognition function; and when the utterance represents a deliberation, resuming listening for an utterance until the listening horizon expires; and when the utterance is not recognized with a confidence above the threshold: when a number of utterances have been received since the speech recognition function was turned on exceeds a second threshold, outputting an indication of a hearing difficulty and turning off the speech recognition function; when the number of utterances that have been received since the speech recognition function was turned on is below the second threshold, resuming listening for an utterance until the listening horizon expires. | 17. A computer implemented method comprising: with at least one processor, performing steps comprising: determining that a user desires to engage in a dialog; turning on a speech recognition function with a listening horizon, the length of the listening horizon is initially set as a function of the subject matter of the dialog; listening for an utterance of the user until an utterance is detected or the listening horizon expires; determining whether the detected utterance is recognized with a confidence above a threshold; when the utterance is recognized with a confidence above the threshold: determining whether the utterance represents a deliberation; and when the utterance does not represent a deliberation, turning off the speech recognition function; and when the utterance represents a deliberation, resuming listening for an utterance until the listening horizon expires; and when the utterance is not recognized with a confidence above the threshold: when a number of utterances have been received since the speech recognition function was turned on exceeds a second threshold, outputting an indication of a hearing difficulty and turning off the speech recognition function; when the number of utterances that have been received since the speech recognition function was turned on is below the second threshold, resuming listening for an utterance until the listening horizon expires. 18. The method of claim 17 , wherein the initial listening horizon is set based on prior difficulty recognizing utterances from the user. | 0.534014 |
9,483,591 | 1 | 2 | 1. A computer-implemented method for assuring a reliability of a chip comprising: retrieving a design netlist with a processor; identifying, via the processor, a logic structure in the design netlist; generating, via the processor, a driver based on the logic structure, wherein generating the driver based on the logic structure comprises: verifying a parity; traversing a netlist back from a plurality of netlist outputs; identifying one or more parity protected structures and one or more gates, wherein protected parity structures comprises a duplication protection; and generating an assertion indicative of a parity validity; applying, via the processor, a simulation and a formal model based on the driver; and testing, via the processor, an output of the simulation and the formal model. | 1. A computer-implemented method for assuring a reliability of a chip comprising: retrieving a design netlist with a processor; identifying, via the processor, a logic structure in the design netlist; generating, via the processor, a driver based on the logic structure, wherein generating the driver based on the logic structure comprises: verifying a parity; traversing a netlist back from a plurality of netlist outputs; identifying one or more parity protected structures and one or more gates, wherein protected parity structures comprises a duplication protection; and generating an assertion indicative of a parity validity; applying, via the processor, a simulation and a formal model based on the driver; and testing, via the processor, an output of the simulation and the formal model. 2. The computer-implemented method of claim 1 wherein identifying the logic structure in the design netlist comprises: statistically analyzing the design netlist; extracting checking logic information from the design netlist; and extracting gating information from the design netlist. | 0.5 |
7,669,124 | 11 | 18 | 11. A computer system for creating an integrated user interface (UI) language preference list (“the List”), comprising: (a) a memory; and (b) a data processor, coupled with the memory, for merging a plurality of UI language settings to an integrated UI language preference list (“the List”), wherein the plurality of UI language settings include an application UI language preference list (“APL”), a user UI language preference list (“UPL”), and an ultimate fallback UI language (“original UI language”), the merging a plurality of UI language settings to the List including merging the UPL to the List, the merging the UPL comprising: (i) adding a language in the UPL to the List if the language is not already in the List; (ii) merging a parent language of the added language to the List if the added language is a Language Interface Pack (LIP) language, wherein the LIP language is a software application added on to a language installed on the computer system upon verifying that the language installed on the computer system is a valid parent language of the LIP language; and (iii) merging a base language of the added language to the List if the added language is a partially localized language, wherein the base language is language in which a majority of user interface resources is displayed to a user, and the partially localized language is a language in which a remainder of the user interface resources is displayed to the user (c) wherein the data processor is further adapted for selecting from among one or more language resources available on the computer in an order established in the List. | 11. A computer system for creating an integrated user interface (UI) language preference list (“the List”), comprising: (a) a memory; and (b) a data processor, coupled with the memory, for merging a plurality of UI language settings to an integrated UI language preference list (“the List”), wherein the plurality of UI language settings include an application UI language preference list (“APL”), a user UI language preference list (“UPL”), and an ultimate fallback UI language (“original UI language”), the merging a plurality of UI language settings to the List including merging the UPL to the List, the merging the UPL comprising: (i) adding a language in the UPL to the List if the language is not already in the List; (ii) merging a parent language of the added language to the List if the added language is a Language Interface Pack (LIP) language, wherein the LIP language is a software application added on to a language installed on the computer system upon verifying that the language installed on the computer system is a valid parent language of the LIP language; and (iii) merging a base language of the added language to the List if the added language is a partially localized language, wherein the base language is language in which a majority of user interface resources is displayed to a user, and the partially localized language is a language in which a remainder of the user interface resources is displayed to the user (c) wherein the data processor is further adapted for selecting from among one or more language resources available on the computer in an order established in the List. 18. The computer system of claim 11 , further comprising an application programming interface, the application programming interface including separate commands to request services related to setting and retrieving UI language settings through the List. | 0.776896 |
9,773,045 | 8 | 13 | 8. A method of providing search results, the method comprising: using a processor to perform acts, said acts being implemented by instructions that are stored in a memory, said acts comprising: receiving a query from a user; determining that the query is one to be asked to a person in addition to, or instead of, a search engine; obtaining objective results from a corpus of information; using a social graph to identify one or more people who are friends of said user in said social graph, and who have an aspect of relevance to said query; creating person results that comprise said one or more people and, for each of said one or more people, an explanation of each person's relevance to said query, said social graph indicating attributes for people in said social graph, said explanation of a given person's relevance comprising an attribute that is indicated in said social graph for said given person; and providing, to said user, a set of results that comprise said objective results and said person results, each of said person results being actionable to initiate contact between said user and a person identified in a given result. | 8. A method of providing search results, the method comprising: using a processor to perform acts, said acts being implemented by instructions that are stored in a memory, said acts comprising: receiving a query from a user; determining that the query is one to be asked to a person in addition to, or instead of, a search engine; obtaining objective results from a corpus of information; using a social graph to identify one or more people who are friends of said user in said social graph, and who have an aspect of relevance to said query; creating person results that comprise said one or more people and, for each of said one or more people, an explanation of each person's relevance to said query, said social graph indicating attributes for people in said social graph, said explanation of a given person's relevance comprising an attribute that is indicated in said social graph for said given person; and providing, to said user, a set of results that comprise said objective results and said person results, each of said person results being actionable to initiate contact between said user and a person identified in a given result. 13. The method of claim 8 , said determining that said query is answerable with subjective information being based said query's containing specific words that have been determined to be associated with subjective requests. | 0.757112 |
8,290,977 | 83 | 84 | 83. The method of claim 82 , wherein said aggregating step includes using a state transition mechanism for synchronization of aggregation boundaries. | 83. The method of claim 82 , wherein said aggregating step includes using a state transition mechanism for synchronization of aggregation boundaries. 84. The method of claim 83 , wherein said state transition mechanism synchronizes aggregated derived values and user-supplied literals. | 0.5 |
9,703,872 | 1 | 14 | 1. A method of automatically modifying text displayed on a graphical user interface by detecting offensive words in a string of words transmitted over a computer network, comprising: receiving and storing in a computer database, using one or more processors, a plurality of offensive words, wherein each respective offensive word in the plurality of offensive words is associated with a severity score identifying the offensiveness of the respective word; receiving a string of words, using the one or more processors, wherein a candidate word is selected from the string of words; calculating, for each respective offensive word in the plurality of offensive words, using the one or more processors, a distance between the candidate word and the respective offensive word, the distance between the candidate word and the respective offensive word being a value on a scale having more than two possible values; calculating a plurality of offensiveness scores for the candidate word using the one or more processors, each offensiveness score in the plurality of offensiveness scores based upon (i) the calculated distance between the candidate word and an offensive word in the plurality of offensive words and (ii) the severity score of the offensive word, wherein a particular offensiveness score is based on a product of two terms, a first of the two terms being based on the calculated distance between the candidate word and a particular offensive word, and a second of the two terms being based on the severity score of the particular offensive word; determining, using the one or more processors, whether the candidate word is an offender word based on whether the highest offensiveness score in the plurality of offensiveness scores for the candidate word exceeds an offensiveness threshold value; and when the candidate word is determined to be an offender word, adjusting the candidate word, as stored in a computer-readable memory, prior to display of the adjusted candidate word on a graphical user interface. | 1. A method of automatically modifying text displayed on a graphical user interface by detecting offensive words in a string of words transmitted over a computer network, comprising: receiving and storing in a computer database, using one or more processors, a plurality of offensive words, wherein each respective offensive word in the plurality of offensive words is associated with a severity score identifying the offensiveness of the respective word; receiving a string of words, using the one or more processors, wherein a candidate word is selected from the string of words; calculating, for each respective offensive word in the plurality of offensive words, using the one or more processors, a distance between the candidate word and the respective offensive word, the distance between the candidate word and the respective offensive word being a value on a scale having more than two possible values; calculating a plurality of offensiveness scores for the candidate word using the one or more processors, each offensiveness score in the plurality of offensiveness scores based upon (i) the calculated distance between the candidate word and an offensive word in the plurality of offensive words and (ii) the severity score of the offensive word, wherein a particular offensiveness score is based on a product of two terms, a first of the two terms being based on the calculated distance between the candidate word and a particular offensive word, and a second of the two terms being based on the severity score of the particular offensive word; determining, using the one or more processors, whether the candidate word is an offender word based on whether the highest offensiveness score in the plurality of offensiveness scores for the candidate word exceeds an offensiveness threshold value; and when the candidate word is determined to be an offender word, adjusting the candidate word, as stored in a computer-readable memory, prior to display of the adjusted candidate word on a graphical user interface. 14. The method of claim 1 , wherein the offensiveness score for a candidate word is calculated according to the formula:
offensiveness score= A *(( B−C )/ B ); wherein, A is the severity score for an offensive word in the plurality of offensive words; B is a function of a length of the offensive word; and C is the calculated distance between the candidate word and the offensive word. | 0.538095 |
8,862,455 | 1 | 9 | 1. At a computer system including at least one processor and a memory, in a computer networking environment including a plurality of computing systems, a computer-implemented method for applying appropriate pluralization rules to text strings, the method comprising: an act of the processor identifying a user interface (UI) text string that includes a numerical amount for which an appropriate pluralization form is to be determined, the string being represented by a resource identifier (ID); an act of receiving an indication indicating which language the text string is to be displayed in; an act of selecting an appropriate resource ID from a plurality of pre-generated resource IDs based on the numerical amount and the determined language, wherein the pre-generated resource IDs include language-specific pluralization forms for localization of the text string, at least one of the pre-generated resource IDs including a language-specific pluralization form that applies to a plurality of languages including the indicated language and at least one other language; and an act of returning the localized text string at the determined appropriate resource ID to the UI for display, such that the localized text string is presented with the numerical amount and proper pluralization in the indicated language. | 1. At a computer system including at least one processor and a memory, in a computer networking environment including a plurality of computing systems, a computer-implemented method for applying appropriate pluralization rules to text strings, the method comprising: an act of the processor identifying a user interface (UI) text string that includes a numerical amount for which an appropriate pluralization form is to be determined, the string being represented by a resource identifier (ID); an act of receiving an indication indicating which language the text string is to be displayed in; an act of selecting an appropriate resource ID from a plurality of pre-generated resource IDs based on the numerical amount and the determined language, wherein the pre-generated resource IDs include language-specific pluralization forms for localization of the text string, at least one of the pre-generated resource IDs including a language-specific pluralization form that applies to a plurality of languages including the indicated language and at least one other language; and an act of returning the localized text string at the determined appropriate resource ID to the UI for display, such that the localized text string is presented with the numerical amount and proper pluralization in the indicated language. 9. The method of claim 1 , wherein if no appropriate resource ID is selectable, a default pluralization resource ID is used. | 0.693069 |
9,043,696 | 1 | 4 | 1. An electronic device comprising: one or more computer-readable storage media configured to store instructions; and one or more processors configured to execute the instructions to cause the electronic device to: obtain and display a first sample document; receive a first input indicating selection of one or more objects within the first sample document; determine a first set of one or more characteristics shared by the selected objects; identify, within one or more target documents, one or more target objects characterized by the first set of one or more characteristics; store object data associated with the target objects; obtain and display a second sample document; receive a second input indicating selection of one or more objects within the second sample document; and determine a second set of one or more characteristics shared by objects selected in the first and second sample documents, wherein the first and second sample documents are HTML documents, wherein the one or more objects within the first and second sample documents are HTML elements, and wherein the determination of the second set of characteristics comprises a determination of commonalities among hierarchical positions of the HTML elements within the HTML documents. | 1. An electronic device comprising: one or more computer-readable storage media configured to store instructions; and one or more processors configured to execute the instructions to cause the electronic device to: obtain and display a first sample document; receive a first input indicating selection of one or more objects within the first sample document; determine a first set of one or more characteristics shared by the selected objects; identify, within one or more target documents, one or more target objects characterized by the first set of one or more characteristics; store object data associated with the target objects; obtain and display a second sample document; receive a second input indicating selection of one or more objects within the second sample document; and determine a second set of one or more characteristics shared by objects selected in the first and second sample documents, wherein the first and second sample documents are HTML documents, wherein the one or more objects within the first and second sample documents are HTML elements, and wherein the determination of the second set of characteristics comprises a determination of commonalities among hierarchical positions of the HTML elements within the HTML documents. 4. The electronic device of claim 1 , wherein the first sample document is an HTML document, wherein the one or more objects are HTML elements, and wherein the determination of the first set of characteristics comprises a determination of commonalities among hierarchical positions of the HTML elements within the HTML document. | 0.564987 |
9,355,376 | 13 | 21 | 13. A process performed by a computing machine, comprising: employing at least one computer executing stored instructions that, when executed by the at least one computer, configure the at least one computer to perform: storing rules in a rules library comprising a plurality of rules, each rule in the plurality of rules comprising: a. at least one condition based on one or more fields of customer relationship management data from a customer relationship management system and b. an indication of an action, the action being selected from a group comprising: a selection of a playbook element to be displayed and update of customer relationship management data from the customer relationship management system performed upon completion of a playbook element; providing a rules editing interface through which a playbook manager receives inputs from at least one first user, the playbook manager including an interface configured to query the customer relationship management system for available fields used for the customer relationship management data, the available fields being presented in the rules editing interface, wherein the inputs to the rules editing interface includes selection from among the available fields for use in rules, conditions for the rules and actions for the rules, wherein the playbook manager is configured to define one or more rules based at least on the inputs from the rules editing interface and to store the one or more defined rules in the rules library; providing a rules selection interface enabling the playbook manager to receive inputs from the at least one first user for editing a playbook, said playbook comprising a plurality of playbook elements, one or more of the playbook elements including content to be provided over a computer network to a prospect, the rules selection interface receiving an indication of a selection of one or more rules of a plurality of displayed rules from the rules library and an indication of a selection of a playbook element of a selected sales playbook, and associating the selected one or more rules with the selected playbook elements; and a playbook execution engine interactively receiving data for a prospect from the customer relationship management data from a customer relationship management system, and a selected sales playbook comprising playbook elements and rules from the rules library associated with the playbook elements of the selected sales playbook, the playbook execution engine interactively processing the sales playbook according to the rules associated with the playbook elements of the selected playbook and the received customer relationship data and inputs from at least one second user different from the at least one first user, to: interactively select playbook elements for presentation to the at least one second user, in response to an instruction from the at least one second user, cause any content associated with a playbook element to be provided over a computer network to the prospect, and interactively update the customer relationship management data in the customer relationship management system, through an interface configured to process updates to the customer relationship management data, in response to actions by the at least one second user with respect to the selected playbook elements. | 13. A process performed by a computing machine, comprising: employing at least one computer executing stored instructions that, when executed by the at least one computer, configure the at least one computer to perform: storing rules in a rules library comprising a plurality of rules, each rule in the plurality of rules comprising: a. at least one condition based on one or more fields of customer relationship management data from a customer relationship management system and b. an indication of an action, the action being selected from a group comprising: a selection of a playbook element to be displayed and update of customer relationship management data from the customer relationship management system performed upon completion of a playbook element; providing a rules editing interface through which a playbook manager receives inputs from at least one first user, the playbook manager including an interface configured to query the customer relationship management system for available fields used for the customer relationship management data, the available fields being presented in the rules editing interface, wherein the inputs to the rules editing interface includes selection from among the available fields for use in rules, conditions for the rules and actions for the rules, wherein the playbook manager is configured to define one or more rules based at least on the inputs from the rules editing interface and to store the one or more defined rules in the rules library; providing a rules selection interface enabling the playbook manager to receive inputs from the at least one first user for editing a playbook, said playbook comprising a plurality of playbook elements, one or more of the playbook elements including content to be provided over a computer network to a prospect, the rules selection interface receiving an indication of a selection of one or more rules of a plurality of displayed rules from the rules library and an indication of a selection of a playbook element of a selected sales playbook, and associating the selected one or more rules with the selected playbook elements; and a playbook execution engine interactively receiving data for a prospect from the customer relationship management data from a customer relationship management system, and a selected sales playbook comprising playbook elements and rules from the rules library associated with the playbook elements of the selected sales playbook, the playbook execution engine interactively processing the sales playbook according to the rules associated with the playbook elements of the selected playbook and the received customer relationship data and inputs from at least one second user different from the at least one first user, to: interactively select playbook elements for presentation to the at least one second user, in response to an instruction from the at least one second user, cause any content associated with a playbook element to be provided over a computer network to the prospect, and interactively update the customer relationship management data in the customer relationship management system, through an interface configured to process updates to the customer relationship management data, in response to actions by the at least one second user with respect to the selected playbook elements. 21. The process of claim 13 , further comprising: displaying, in the playbook manager, a user interface object for each item of content associated with a playbook element, and in response to user input with respect to the user interface object for an item of content, activating the rules selection interface with respect to the item of content to associate a rule with the item of content. | 0.5 |
9,444,935 | 16 | 25 | 16. An apparatus, comprising: at least one processor; and a memory having stored therein machine executable instructions, that when executed by the at least one processor, cause the apparatus to: generate a plurality of test scripts, a test script from among the plurality of test scripts generated by performing: initiating a voice call interaction with a speech application, the speech application comprising a network of interaction nodes; and repeatedly performing, until a stopping condition is encountered, the steps of: executing the voice call interaction with the speech application by traversing through one or more interaction nodes from among the network of interaction nodes until an interaction node requiring a response is encountered; selecting an utterance generation mode corresponding to the interaction node; determining a response to be provided corresponding to the interaction node of the speech application based on the utterance generation mode; and providing the response to the speech application, wherein the test script comprises instructions for traversing interaction nodes involved during a course of the voice call interaction, and, instructions for provisioning one or more responses to the speech application during the course of the voice call interaction; identify one or more test scripts from among the plurality of test scripts based on a pre-determined objective; and provide the one or more test scripts to a user for facilitating testing of the speech application. | 16. An apparatus, comprising: at least one processor; and a memory having stored therein machine executable instructions, that when executed by the at least one processor, cause the apparatus to: generate a plurality of test scripts, a test script from among the plurality of test scripts generated by performing: initiating a voice call interaction with a speech application, the speech application comprising a network of interaction nodes; and repeatedly performing, until a stopping condition is encountered, the steps of: executing the voice call interaction with the speech application by traversing through one or more interaction nodes from among the network of interaction nodes until an interaction node requiring a response is encountered; selecting an utterance generation mode corresponding to the interaction node; determining a response to be provided corresponding to the interaction node of the speech application based on the utterance generation mode; and providing the response to the speech application, wherein the test script comprises instructions for traversing interaction nodes involved during a course of the voice call interaction, and, instructions for provisioning one or more responses to the speech application during the course of the voice call interaction; identify one or more test scripts from among the plurality of test scripts based on a pre-determined objective; and provide the one or more test scripts to a user for facilitating testing of the speech application. 25. The apparatus of claim 16 , wherein the apparatus is further caused to: intercept an invoking of an external integration service by the speech application; and track an outgoing request from the speech application to the external integration service, and an incoming response from the external integration service to the speech application, upon invoking of the external integration service by the speech application. | 0.628748 |
9,036,701 | 1 | 5 | 1. A method comprising: determining a frequency of occurrence threshold based on an expected frequency of occurrence of syntax elements in a bit stream; categorizing a plurality of syntax elements of video content into first and second categories based on the frequency of occurrence threshold, wherein syntax elements which occur greater than the frequency of occurrence threshold are categorized into the first category and syntax elements which occur less than the frequency of occurrence are categorized into the second category; entropy coding symbols that correspond to the first category of syntax elements and that have been subjected to a context update; and entropy coding symbols that correspond to the second category of syntax elements and that have bypassed context updating. | 1. A method comprising: determining a frequency of occurrence threshold based on an expected frequency of occurrence of syntax elements in a bit stream; categorizing a plurality of syntax elements of video content into first and second categories based on the frequency of occurrence threshold, wherein syntax elements which occur greater than the frequency of occurrence threshold are categorized into the first category and syntax elements which occur less than the frequency of occurrence are categorized into the second category; entropy coding symbols that correspond to the first category of syntax elements and that have been subjected to a context update; and entropy coding symbols that correspond to the second category of syntax elements and that have bypassed context updating. 5. A method according to claim 1 further comprising causing an indication of the entropy coding to be signaled at a block, slice, picture or sequence level. | 0.684211 |
9,522,226 | 1 | 9 | 1. An infusion pump assembly comprising: a reservoir assembly configured to contain an infusible fluid; a motor assembly configured to act upon the reservoir assembly and dispense at least a portion of the infusible fluid contained within the reservoir assembly; processing logic configured to control the motor assembly; wherein the processing logic includes: a primary microprocessor configured to execute one or more primary applications written in a first computer language; and a safety microprocessor configured to execute one or more safety applications written in a second computer language that is different than the first computer language; and a computer program product residing on a computer readable medium having a plurality of instructions stored thereon which, when executed by a processor, cause the processor to perform the operation of processing a command written in the first computer language received on the primary microprocessor so that the command may be confirmed by the safety microprocessor executing the one or more safety applications written in the second computer language. | 1. An infusion pump assembly comprising: a reservoir assembly configured to contain an infusible fluid; a motor assembly configured to act upon the reservoir assembly and dispense at least a portion of the infusible fluid contained within the reservoir assembly; processing logic configured to control the motor assembly; wherein the processing logic includes: a primary microprocessor configured to execute one or more primary applications written in a first computer language; and a safety microprocessor configured to execute one or more safety applications written in a second computer language that is different than the first computer language; and a computer program product residing on a computer readable medium having a plurality of instructions stored thereon which, when executed by a processor, cause the processor to perform the operation of processing a command written in the first computer language received on the primary microprocessor so that the command may be confirmed by the safety microprocessor executing the one or more safety applications written in the second computer language. 9. The infusion pump assembly of claim 1 wherein the one or more primary applications written in the first computer language are chosen from the group consisting of an operating system, an executive loop and a software application. | 0.738688 |
9,398,460 | 1 | 8 | 1. A mobile phone-based system for providing on-demand security to a requester primarily via non-voice communication, the system comprising: a. a database having i. requester data, ii. security escort data, iii. engagement data, iv. review data, and v. at least one request factor; b. at least one requester mobile phone having i. at least one non-voice communication channel, ii. at least one voice communication channel, iii. an interface adapted to— A. request security escorts for at least one time period in at least one location, B. select at least one request factor and send a request to an engagement engine, C. receive a response from the engagement engine, D. enable the requester to meet and identify an escort, E. declare an emergency, F. terminate security escort for one time period in one location, and G. close an engagement; c. a screening facility adapted to— i. qualify at least one selected from security escort, requester, and ii. review qualifications of at least are selected from escort and requestor; d. at least one security escort mobile phone having— i. at least one non-voice communication channel, ii. at least one voice communication channel, iii. an interface adapted to— A. receive a proposed security engagement, B. respond to the proposed engagement, C. receive security escort details, D. enable an escort to meet and identify a requester, E. declare an emergency, and F. close an engagement; e. an engagement engine having— i. a query generator interactively facilitating each request and generating a query most closely related to the requester's needs in view of each applicable request factor, and ii. a response generator receiving the query and applying request factors to generate a response including confirmation of request, expected cost, and escort identification; f. a meeting engine adapted to— i. transmit location and identification data to the requester and escort, ii. facilitate a meeting between the requester and the escort, iii. receive verification of an agreeable meeting, iv. close each engagement upon notification from at least one selected from requester and escort database, and v. pay the escorts whereby the security escorts required for a particular engagement are determined based on requester-provided data as a function of a requester requirements, security escort provider abilities, and application of request factors. | 1. A mobile phone-based system for providing on-demand security to a requester primarily via non-voice communication, the system comprising: a. a database having i. requester data, ii. security escort data, iii. engagement data, iv. review data, and v. at least one request factor; b. at least one requester mobile phone having i. at least one non-voice communication channel, ii. at least one voice communication channel, iii. an interface adapted to— A. request security escorts for at least one time period in at least one location, B. select at least one request factor and send a request to an engagement engine, C. receive a response from the engagement engine, D. enable the requester to meet and identify an escort, E. declare an emergency, F. terminate security escort for one time period in one location, and G. close an engagement; c. a screening facility adapted to— i. qualify at least one selected from security escort, requester, and ii. review qualifications of at least are selected from escort and requestor; d. at least one security escort mobile phone having— i. at least one non-voice communication channel, ii. at least one voice communication channel, iii. an interface adapted to— A. receive a proposed security engagement, B. respond to the proposed engagement, C. receive security escort details, D. enable an escort to meet and identify a requester, E. declare an emergency, and F. close an engagement; e. an engagement engine having— i. a query generator interactively facilitating each request and generating a query most closely related to the requester's needs in view of each applicable request factor, and ii. a response generator receiving the query and applying request factors to generate a response including confirmation of request, expected cost, and escort identification; f. a meeting engine adapted to— i. transmit location and identification data to the requester and escort, ii. facilitate a meeting between the requester and the escort, iii. receive verification of an agreeable meeting, iv. close each engagement upon notification from at least one selected from requester and escort database, and v. pay the escorts whereby the security escorts required for a particular engagement are determined based on requester-provided data as a function of a requester requirements, security escort provider abilities, and application of request factors. 8. The system of claim 1 , where third party requester may make multiple requests for plurality of first parties. | 0.780156 |
8,458,766 | 1 | 13 | 1. A method of automated managing an ordered set of security rules implemented at one or more security gateways, the method comprising: a. obtaining data characterizing a connectivity request which may become allowable only upon changes of an initial rule-set, thus giving rise to an unfitting connectivity request; b. automated searching for a rule within said ordered set of security rules, said rule best matching to be amended in order to facilitate allowance of the unfitting connectivity request, wherein best matching is defined in accordance with one or more predefined criteria; c. automated generating amendment of the best matching rule, said amendment capable to facilitate allowance of the unfitting connectivity request; and d. automated implementing the generated amendment at one or more relevant security gateways among said one or more security gateways, thus giving rise to an amended rule-set. | 1. A method of automated managing an ordered set of security rules implemented at one or more security gateways, the method comprising: a. obtaining data characterizing a connectivity request which may become allowable only upon changes of an initial rule-set, thus giving rise to an unfitting connectivity request; b. automated searching for a rule within said ordered set of security rules, said rule best matching to be amended in order to facilitate allowance of the unfitting connectivity request, wherein best matching is defined in accordance with one or more predefined criteria; c. automated generating amendment of the best matching rule, said amendment capable to facilitate allowance of the unfitting connectivity request; and d. automated implementing the generated amendment at one or more relevant security gateways among said one or more security gateways, thus giving rise to an amended rule-set. 13. The method of claim 1 further comprising validating the generated amendment prior to implementing. | 0.93617 |
7,937,402 | 7 | 8 | 7. The method of claim 6 , wherein the natural language query processing step comprises: a parsing step of parsing the request for natural language query by searching a category table, an entity table in the location ontology database and a constant table in the location query language database; a fuzzy processing step of performing, to the fuzzy description in the parsed request, at least one step of deleting redundant words based on a grammar feature, detecting and completing incomplete words based on the location ontology, and finding words omitted by the user by using context-aware technology based on the user's query history; an indirection processing step of converting indirect description in the query into the corresponding category name in the location ontology database by searching the category table in the location ontology database; a query language matching step of matching the processed request with the location query language database, and generating the query action corresponding to the query; a database searching step of retrieving the corresponding query result from the location database according to the query action; and an answer fusing and generating step of fusing the query result to generate an answer, and sends the answer to the user terminal. | 7. The method of claim 6 , wherein the natural language query processing step comprises: a parsing step of parsing the request for natural language query by searching a category table, an entity table in the location ontology database and a constant table in the location query language database; a fuzzy processing step of performing, to the fuzzy description in the parsed request, at least one step of deleting redundant words based on a grammar feature, detecting and completing incomplete words based on the location ontology, and finding words omitted by the user by using context-aware technology based on the user's query history; an indirection processing step of converting indirect description in the query into the corresponding category name in the location ontology database by searching the category table in the location ontology database; a query language matching step of matching the processed request with the location query language database, and generating the query action corresponding to the query; a database searching step of retrieving the corresponding query result from the location database according to the query action; and an answer fusing and generating step of fusing the query result to generate an answer, and sends the answer to the user terminal. 8. The method of claim 7 , wherein the natural language query processing step further comprises: a compound sentence processing step of dividing the request for natural language query which comprises a compound sentence into a plurality of separate request for natural language query and provides the divided request to the parsing unit. | 0.5 |
7,606,701 | 13 | 19 | 13. The method according to claim 1 , wherein: said obtaining step is carried out using a voice input unit; said preprocessing is carried out using a pre-processing unit for pre-processing voice samples from voice input unit; said deriving and comparing steps are carried out using a main processing unit for processing said pre-processed voice samples and detecting emotional arousal therefrom; and said processing result is outputted to a main indicators output unit for outputting an indication of emotional arousal. | 13. The method according to claim 1 , wherein: said obtaining step is carried out using a voice input unit; said preprocessing is carried out using a pre-processing unit for pre-processing voice samples from voice input unit; said deriving and comparing steps are carried out using a main processing unit for processing said pre-processed voice samples and detecting emotional arousal therefrom; and said processing result is outputted to a main indicators output unit for outputting an indication of emotional arousal. 19. The method according to claim 13 , wherein some of said units of the apparatus are physically distanced from other units, and said apparatus further comprises an interface for allowing data communication between said units. | 0.752183 |
9,746,929 | 1 | 3 | 1. A method of recognizing gesture operable at an apparatus, comprising: generating raw data of a gesture from one or more gesture capturing sensors; categorizing the raw data into a plurality of gesture elements, each gesture element corresponding to a predetermined movement identified from the raw data; determining a contextual dependency between the plurality of gesture elements, wherein the contextual dependency comprises probabilities of the plurality of gesture elements appearing next to each other in a temporal order or sequence; recategorizing the raw data into different gesture elements based on the contextual dependency between the plurality of gesture elements; and recognizing the gesture based on the determined gesture elements. | 1. A method of recognizing gesture operable at an apparatus, comprising: generating raw data of a gesture from one or more gesture capturing sensors; categorizing the raw data into a plurality of gesture elements, each gesture element corresponding to a predetermined movement identified from the raw data; determining a contextual dependency between the plurality of gesture elements, wherein the contextual dependency comprises probabilities of the plurality of gesture elements appearing next to each other in a temporal order or sequence; recategorizing the raw data into different gesture elements based on the contextual dependency between the plurality of gesture elements; and recognizing the gesture based on the determined gesture elements. 3. The method of claim 1 , wherein the raw data obtained from the gesture capturing sensors, has not been subjected to processing or manipulation related to gesture recognition. | 0.781481 |
9,998,919 | 10 | 14 | 10. A method comprising: receiving, by a text messaging hub executing at a server device, a sign-up request, the sign-up request including a user number for a user, the user number for the user including a phone number for the user; responsive to receiving the sign-up request: assigning, by the text messaging hub, a first user-specific system number to which a mobile device is to direct future text messages, the mobile device being associated with the phone number for the user, wherein assigning the first user-specific system number comprises storing the first user-specific system number and the phone number for the user to a set of authorized user number and specific number pairs, the first user-specific system number being different from the phone number for the user; and sending, by the text messaging hub to the mobile device associated with the phone number for the user, an initiation message, the initiation messaging including the first user-specific system number; receiving, by the text messaging hub, a text message from a device, the text message being directed to a specific number associated with the text messaging hub, wherein the specific number is one of the plurality of possible numbers associated with the text messaging hub, the text message including the phone number for the user; determining, by the text messaging hub, whether the phone number for the user is associated with the specific number based on the set of authorized user number and specific number pairs, wherein the phone number for the user is not associated with the specific number when the specific number to which the message is directed is not the first user-specific system number; determining, by the text messaging hub, that the text message is not authentic in response to determining the phone number for the user is not associated with the specific number; and responsive to determining that the text message is not authentic: assigning, by the text messaging hub, a second user-specific number to which the mobile device is to direct future text messages; and sending, by the text messaging hub, to the mobile device at the phone number for the user, a notification text message that includes the second user-specific number. | 10. A method comprising: receiving, by a text messaging hub executing at a server device, a sign-up request, the sign-up request including a user number for a user, the user number for the user including a phone number for the user; responsive to receiving the sign-up request: assigning, by the text messaging hub, a first user-specific system number to which a mobile device is to direct future text messages, the mobile device being associated with the phone number for the user, wherein assigning the first user-specific system number comprises storing the first user-specific system number and the phone number for the user to a set of authorized user number and specific number pairs, the first user-specific system number being different from the phone number for the user; and sending, by the text messaging hub to the mobile device associated with the phone number for the user, an initiation message, the initiation messaging including the first user-specific system number; receiving, by the text messaging hub, a text message from a device, the text message being directed to a specific number associated with the text messaging hub, wherein the specific number is one of the plurality of possible numbers associated with the text messaging hub, the text message including the phone number for the user; determining, by the text messaging hub, whether the phone number for the user is associated with the specific number based on the set of authorized user number and specific number pairs, wherein the phone number for the user is not associated with the specific number when the specific number to which the message is directed is not the first user-specific system number; determining, by the text messaging hub, that the text message is not authentic in response to determining the phone number for the user is not associated with the specific number; and responsive to determining that the text message is not authentic: assigning, by the text messaging hub, a second user-specific number to which the mobile device is to direct future text messages; and sending, by the text messaging hub, to the mobile device at the phone number for the user, a notification text message that includes the second user-specific number. 14. The method of claim 10 , further comprising: in response to determining that the text message is not authentic, sending, to the device at the phone number for the user, by the text messaging hub executing at the server device, a notification indicating that a third party may be attempting to spoof an account of the device at the phone number for the user. | 0.5 |
9,153,234 | 11 | 13 | 11. The speech recognition apparatus according to claim 10 , wherein: the operation portion includes at least two operation elements, which are attached to the steering wheel; the reception device receives an input of the correction information for specifying one end of the deletion character string including a plurality of deletion letters via one operation element, and receives an input of the correction information for specifying the other end of the deletion character string via the other operation element; and the display device displays a cursor indicative of the one end of the deletion character string and another cursor indicative of the other end of the deletion character string over the speech character string, the one end and the other end being specified by the correction information. | 11. The speech recognition apparatus according to claim 10 , wherein: the operation portion includes at least two operation elements, which are attached to the steering wheel; the reception device receives an input of the correction information for specifying one end of the deletion character string including a plurality of deletion letters via one operation element, and receives an input of the correction information for specifying the other end of the deletion character string via the other operation element; and the display device displays a cursor indicative of the one end of the deletion character string and another cursor indicative of the other end of the deletion character string over the speech character string, the one end and the other end being specified by the correction information. 13. The speech recognition apparatus according to claim 11 , wherein: the reception device receives the input of the correction information by detecting a swiping operation to the operation surface of the one operation element as an operation for specifying the one end of the deletion character string, and receives the input of the correction information by detecting a swiping operation to the operation surface of the other operation element as an operation for specifying the other end of the deletion character string. | 0.514815 |
8,886,545 | 1 | 5 | 1. A method of interacting with a mobile communication facility comprising: receiving a switch activation from a user to initiate a speech recognition recording session, wherein the speech recognition recording session comprises a voice command from the user followed by the speech to be recognized from the user, wherein the voice command is an application name; recording the speech recognition recording session using a mobile communication facility resident capture facility; storing a dictionary representation including multiple partial pronunciations of the application name at one or more of the mobile communication facility and a speech recognition facility; determining that a first portion of the application name was clipped as a result of the user providing the command before the mobile communication facility resident capture facility was ready to receive; recognizing a second portion of the application name as an indication that user speech for recognition will begin following the end of the second portion of the application name, wherein recognizing the second portion of the application name is through analysis of the dictionary representation, wherein the second portion of the application name is a portion of the application name that was not clipped off during the speech recognition recording session wherein recognizing the second portion of the application name is performed internal to the mobile communication facility; recognizing the recorded speech using a speech recognition facility to produce an external output wherein recognizing the recorded speech is performed external to the mobile communications facility; and using the selected output to perform a function on the mobile communication facility. | 1. A method of interacting with a mobile communication facility comprising: receiving a switch activation from a user to initiate a speech recognition recording session, wherein the speech recognition recording session comprises a voice command from the user followed by the speech to be recognized from the user, wherein the voice command is an application name; recording the speech recognition recording session using a mobile communication facility resident capture facility; storing a dictionary representation including multiple partial pronunciations of the application name at one or more of the mobile communication facility and a speech recognition facility; determining that a first portion of the application name was clipped as a result of the user providing the command before the mobile communication facility resident capture facility was ready to receive; recognizing a second portion of the application name as an indication that user speech for recognition will begin following the end of the second portion of the application name, wherein recognizing the second portion of the application name is through analysis of the dictionary representation, wherein the second portion of the application name is a portion of the application name that was not clipped off during the speech recognition recording session wherein recognizing the second portion of the application name is performed internal to the mobile communication facility; recognizing the recorded speech using a speech recognition facility to produce an external output wherein recognizing the recorded speech is performed external to the mobile communications facility; and using the selected output to perform a function on the mobile communication facility. 5. The method of claim 1 , wherein the switch is a virtual switch displayed on the mobile communications facility. | 0.81672 |
9,256,968 | 1 | 11 | 1. A method for converting a sketch shape into a semantic element, the method comprising the steps of: receiving a request to convert a first sketch shape into a first semantic element, wherein the first sketch shape and a second semantic element are part of a first nested shape combination, wherein the first sketch shape includes a visual depiction corresponding to a first class of semantic descriptions, wherein the first semantic element is a visual depiction further including a first semantic description of the first class of semantic descriptions; determining that a first semantic relationship between the first semantic element and the second semantic element exists; and based on determining the first semantic relationship converting the first sketch shape to the first semantic element, such that the determined first semantic relationship is depicted between the second semantic element and first semantic element; wherein at least one of the steps is carried out using a computing device. | 1. A method for converting a sketch shape into a semantic element, the method comprising the steps of: receiving a request to convert a first sketch shape into a first semantic element, wherein the first sketch shape and a second semantic element are part of a first nested shape combination, wherein the first sketch shape includes a visual depiction corresponding to a first class of semantic descriptions, wherein the first semantic element is a visual depiction further including a first semantic description of the first class of semantic descriptions; determining that a first semantic relationship between the first semantic element and the second semantic element exists; and based on determining the first semantic relationship converting the first sketch shape to the first semantic element, such that the determined first semantic relationship is depicted between the second semantic element and first semantic element; wherein at least one of the steps is carried out using a computing device. 11. The method of claim 1 , wherein the second nested shape combination comprises the second sketch shape containing multiple semantic elements. | 0.8967 |
7,542,972 | 6 | 8 | 6. A computer-implemented method of scoring and maintaining address data for any of a plurality of records in an address database, comprising: maintaining a package-level detail database of active shipment records in associated memory, each active shipment record comprising an active tracking number, an active ship-to address, and an active delivery pattern code; maintaining an electronic archive of delivery records in said memory, each delivery record comprising a past tracking number, a past ship-to address, a past delivery pattern code, and a stop identifier; gathering address data from said detail database and said archive into a queue for a period of days; scoring said address data in said queue; building a consignee staging queue for storing those data in said queue related to a select consignee location; assigning a mining key to a current parcel selected from said consignee staging queue, said mining key comprising a parcel tracking number and a current delivery pattern code; comparing said mining key to said package-level detail database and said archive by having one or more computer components execute logic for: (a) retrieving from said archive those select delivery records having a past delivery pattern code that matches said current delivery pattern code, each of said select delivery records having a select past ship-to address; and (b) retrieving from said package-level detail database those select active shipment records having an active ship-to address that matches any said select past ship-to address in said select delivery records; building a set of mined data comprising said select delivery records and said select active shipment records; prioritizing said set of mined data in order of the records most closely associated with said mining key, such that a preferred address related to said mining key occurs first, wherein said step of prioritizing said set of mined data comprises having at least one of said one or more computer components execute logic for: (a) replacing one or more sequence values in a plurality of ship-to address records stored in said set of mined data with a representative symbol; (b) clustering together those said ship-to address records having the same stop identifier; (c) clustering together those said ship-to address records having the same delivery pattern code; building a delivery pattern similarity matrix by counting the coincidence of each delivery pattern code and each ship-to address within said set of mined data; (d) summing the overlapping delivery pattern occurrences within said delivery pattern similarity matrix for each pair of ship-to addresses; (e) building a stop identifier similarity matrix by counting the coincidence of each stop identifier and each ship-to address within said set of mined data; (f) summing the overlapping stop occurrences within said stop identifier similarity matrix for each pair of ship-to addresses; and (g) sorting said set of mined data in order of the highest number of overlapping delivery pattern occurrences and the highest number of overlapping stop occurrences; and assigning said preferred address to said current parcel and updating said address database. | 6. A computer-implemented method of scoring and maintaining address data for any of a plurality of records in an address database, comprising: maintaining a package-level detail database of active shipment records in associated memory, each active shipment record comprising an active tracking number, an active ship-to address, and an active delivery pattern code; maintaining an electronic archive of delivery records in said memory, each delivery record comprising a past tracking number, a past ship-to address, a past delivery pattern code, and a stop identifier; gathering address data from said detail database and said archive into a queue for a period of days; scoring said address data in said queue; building a consignee staging queue for storing those data in said queue related to a select consignee location; assigning a mining key to a current parcel selected from said consignee staging queue, said mining key comprising a parcel tracking number and a current delivery pattern code; comparing said mining key to said package-level detail database and said archive by having one or more computer components execute logic for: (a) retrieving from said archive those select delivery records having a past delivery pattern code that matches said current delivery pattern code, each of said select delivery records having a select past ship-to address; and (b) retrieving from said package-level detail database those select active shipment records having an active ship-to address that matches any said select past ship-to address in said select delivery records; building a set of mined data comprising said select delivery records and said select active shipment records; prioritizing said set of mined data in order of the records most closely associated with said mining key, such that a preferred address related to said mining key occurs first, wherein said step of prioritizing said set of mined data comprises having at least one of said one or more computer components execute logic for: (a) replacing one or more sequence values in a plurality of ship-to address records stored in said set of mined data with a representative symbol; (b) clustering together those said ship-to address records having the same stop identifier; (c) clustering together those said ship-to address records having the same delivery pattern code; building a delivery pattern similarity matrix by counting the coincidence of each delivery pattern code and each ship-to address within said set of mined data; (d) summing the overlapping delivery pattern occurrences within said delivery pattern similarity matrix for each pair of ship-to addresses; (e) building a stop identifier similarity matrix by counting the coincidence of each stop identifier and each ship-to address within said set of mined data; (f) summing the overlapping stop occurrences within said stop identifier similarity matrix for each pair of ship-to addresses; and (g) sorting said set of mined data in order of the highest number of overlapping delivery pattern occurrences and the highest number of overlapping stop occurrences; and assigning said preferred address to said current parcel and updating said address database. 8. The method of claim 6 , further comprising: selecting said preferred address as a preferred consignee address for a single consignee location; assigning a unique consignee token related to said single consignee location; and storing said unique consignee token and said preferred consignee address in a master address database located in said memory. | 0.862539 |
9,390,078 | 1 | 5 | 1. A computer-implemented method of detecting punctuation errors in a text including one or more sentences, the method comprising: receiving a sentence in a text including one or more preexisting punctuation marks; determining one or more punctuation marks that should be included in the sentence with a processing system; comparing using the processing system, the determined punctuation marks with the preexisting punctuation marks; identifying using the processing system, a punctuation mark that should be inserted into a space between two words in the sentence based on said step of comparing, the space in the sentence not being punctuated by any of the preexisting punctuation marks; outputting a report of punctuation errors based on the comparison; and displaying a corrected form of the sentence from the text that depicts the sentence with the one or more punctuation marks determined that should be included in the sentence; wherein said determining one or more punctuation marks that should be included in the sentence with the processing system includes: identifying a target insertion point for a punctuation mark in the text; identifying a predetermined number of words surrounding the target insertion point; parsing the identified words into a plurality of n-grams; converting the plurality of n-grams into a corresponding plurality of part-of-speech n-grams; generating a combination unigram for each of the identified words, the combination unigram including the associated identified word and the part-of-speech of the associated identified word; and applying a statistical classifier using at least the plurality of n-grams, the plurality of part-of-speech n-grams, and the combination unigrams, the statistical classifier determining the one or more punctuation marks that should be included in the sentence. | 1. A computer-implemented method of detecting punctuation errors in a text including one or more sentences, the method comprising: receiving a sentence in a text including one or more preexisting punctuation marks; determining one or more punctuation marks that should be included in the sentence with a processing system; comparing using the processing system, the determined punctuation marks with the preexisting punctuation marks; identifying using the processing system, a punctuation mark that should be inserted into a space between two words in the sentence based on said step of comparing, the space in the sentence not being punctuated by any of the preexisting punctuation marks; outputting a report of punctuation errors based on the comparison; and displaying a corrected form of the sentence from the text that depicts the sentence with the one or more punctuation marks determined that should be included in the sentence; wherein said determining one or more punctuation marks that should be included in the sentence with the processing system includes: identifying a target insertion point for a punctuation mark in the text; identifying a predetermined number of words surrounding the target insertion point; parsing the identified words into a plurality of n-grams; converting the plurality of n-grams into a corresponding plurality of part-of-speech n-grams; generating a combination unigram for each of the identified words, the combination unigram including the associated identified word and the part-of-speech of the associated identified word; and applying a statistical classifier using at least the plurality of n-grams, the plurality of part-of-speech n-grams, and the combination unigrams, the statistical classifier determining the one or more punctuation marks that should be included in the sentence. 5. The method of claim 1 , wherein the preexisting punctuation marks include commas. | 0.837209 |
8,036,889 | 25 | 26 | 25. The system according to claim 24 , wherein the computer code includes a ninth set of instructions configured to, based on the classification models, categorize text of a second set of documents to identify dictated and non-dictated sections of text within at least one document from the second set of documents. | 25. The system according to claim 24 , wherein the computer code includes a ninth set of instructions configured to, based on the classification models, categorize text of a second set of documents to identify dictated and non-dictated sections of text within at least one document from the second set of documents. 26. The system according to claim 25 , wherein the computer code includes a tenth set of instructions configured to output dictated sections of the at least one document from the second set of documents to an automatic speech recognition process. | 0.5 |
8,386,474 | 10 | 13 | 10. A non-transient computer-readable medium having stored thereon program code, the program code executable by a computer to: determine a data structure comprising a plurality of query language configuration parameters and at least two values associated with each of the plurality of query language configuration parameters; generate, based on the data structure, a first structured language query associated with a first value associated with one of the plurality of query language configuration parameters, and a second structured language query associated with a second value associated with the one of the plurality of query language configuration parameters; determine a first expected query result that is associated with the first structured language query and expected in response to the first structured language query if a data source supports a first particularity; determine a second expected query result that is associated with the second structured language query and expected in response to the second structured language query if the data source supports a second particularity rather than the first particularity; query the data source with the first structured language query; query the data source with the second structured language query; receive a first query result associated with the first structured language query and a second query result associated with the second structured language query; compare the first query result to the first expected query result that is associated with the first structured language query and expected in response to the first structured language query if the data source supports the first particularity; compare the second query result to the second expected query result that is associated with the second structured language query and expected in response to the second structured language query if the data source supports a second particularity rather than the first particularity; determine that the first query result matches the first expected query result that is associated with the first structured language query and expected in response to the first structured language query if the data source supports the first particularity; determine that the second query result does not match the second expected query result that is associated with the second structured language query and expected in response to the second structured language query if the data source supports a second particularity rather than the first particularity; and in response to the determine that the first query result matches the first expected query result that is associated with the first structured language query and expected in response to the first structured language query if the data source supports the first particularity, add, to a query language configuration parameter file associated with the data source, the one of the plurality of query language configuration parameters in association with the first value. | 10. A non-transient computer-readable medium having stored thereon program code, the program code executable by a computer to: determine a data structure comprising a plurality of query language configuration parameters and at least two values associated with each of the plurality of query language configuration parameters; generate, based on the data structure, a first structured language query associated with a first value associated with one of the plurality of query language configuration parameters, and a second structured language query associated with a second value associated with the one of the plurality of query language configuration parameters; determine a first expected query result that is associated with the first structured language query and expected in response to the first structured language query if a data source supports a first particularity; determine a second expected query result that is associated with the second structured language query and expected in response to the second structured language query if the data source supports a second particularity rather than the first particularity; query the data source with the first structured language query; query the data source with the second structured language query; receive a first query result associated with the first structured language query and a second query result associated with the second structured language query; compare the first query result to the first expected query result that is associated with the first structured language query and expected in response to the first structured language query if the data source supports the first particularity; compare the second query result to the second expected query result that is associated with the second structured language query and expected in response to the second structured language query if the data source supports a second particularity rather than the first particularity; determine that the first query result matches the first expected query result that is associated with the first structured language query and expected in response to the first structured language query if the data source supports the first particularity; determine that the second query result does not match the second expected query result that is associated with the second structured language query and expected in response to the second structured language query if the data source supports a second particularity rather than the first particularity; and in response to the determine that the first query result matches the first expected query result that is associated with the first structured language query and expected in response to the first structured language query if the data source supports the first particularity, add, to a query language configuration parameter file associated with the data source, the one of the plurality of query language configuration parameters in association with the first value. 13. A medium according to claim 10 , the program code further executable by a computer to: generate, based on the data structure, a third structured language query associated with a third value associated with the one of the plurality of query language configuration parameters; determine a third expected query result associated with the third structured language query; query the data source with the third structured language; receive a third query result associated with the third structured language query; determine that the third query result does not match the third expected query result; and determine to not associate the one of the plurality of query language configuration parameters with the third value in the query language configuration parameter file associated with the data source. | 0.681384 |
9,349,237 | 8 | 9 | 8. A computer program product comprising a computer usable non-transitory medium having a computer readable program code embedded therein for controlling a data processing apparatus, the computer readable program code configured to cause the data processing apparatus to execute a process for authenticating a printed document, the printed document carrying barcode which encodes compressed image data representing a binary original document image, the process comprising: (a) obtaining an image representing the printed document; (b) separating the image into a target document image and the barcode; (c) decoding the barcode and decompressing the compressed image data therein to obtain the original document image; (d) binarizing the target document image; (e) aligning the target document image with respect to the original document image; (f) comparing each word in the original document image with a corresponding word in the target document image to detect any differences, comprising: (f1) for each word of the original document image obtained in step (c), finding the corresponding word of the target document image; (f2) generating a difference map and calculating a Hausdorff distance between each word of the original and the corresponding word of the target document image, and comparing the difference map and the Hausdorff distance to determine whether the corresponding words of the original and target document images are different; (f3) if the words of the original and target document images are not determined to be different in step (f2), identifying one or more candidate symbols in the word of the original document image and corresponding candidate symbols in the target document image; (f4) comparing image features of each candidate symbol of the original document image identified in step (f3) with image features of the corresponding candidate symbol of the target document image to determine whether any of the corresponding candidate symbols of the original and the target document images are different; (f5) if the corresponding symbols of the original and target document images are not determined to be different in step (f4), generating a difference map and calculating a Hausdorff distance between each candidate symbol of the original document image and the corresponding candidate symbol of the target document image, and comparing the difference map and the Hausdorff distance to determine whether any of the corresponding candidate symbols of the original and target document images are different; and (f6) if the corresponding symbols of the original and target document images are not determined to be different in step (f5), comparing shapes of each candidate symbol of the original document image and the corresponding candidate symbol of the target document image using a point matching method to determine whether any of the corresponding candidate symbols of the original and target document images are different; and (g) visualizing the differences detected in step (f). | 8. A computer program product comprising a computer usable non-transitory medium having a computer readable program code embedded therein for controlling a data processing apparatus, the computer readable program code configured to cause the data processing apparatus to execute a process for authenticating a printed document, the printed document carrying barcode which encodes compressed image data representing a binary original document image, the process comprising: (a) obtaining an image representing the printed document; (b) separating the image into a target document image and the barcode; (c) decoding the barcode and decompressing the compressed image data therein to obtain the original document image; (d) binarizing the target document image; (e) aligning the target document image with respect to the original document image; (f) comparing each word in the original document image with a corresponding word in the target document image to detect any differences, comprising: (f1) for each word of the original document image obtained in step (c), finding the corresponding word of the target document image; (f2) generating a difference map and calculating a Hausdorff distance between each word of the original and the corresponding word of the target document image, and comparing the difference map and the Hausdorff distance to determine whether the corresponding words of the original and target document images are different; (f3) if the words of the original and target document images are not determined to be different in step (f2), identifying one or more candidate symbols in the word of the original document image and corresponding candidate symbols in the target document image; (f4) comparing image features of each candidate symbol of the original document image identified in step (f3) with image features of the corresponding candidate symbol of the target document image to determine whether any of the corresponding candidate symbols of the original and the target document images are different; (f5) if the corresponding symbols of the original and target document images are not determined to be different in step (f4), generating a difference map and calculating a Hausdorff distance between each candidate symbol of the original document image and the corresponding candidate symbol of the target document image, and comparing the difference map and the Hausdorff distance to determine whether any of the corresponding candidate symbols of the original and target document images are different; and (f6) if the corresponding symbols of the original and target document images are not determined to be different in step (f5), comparing shapes of each candidate symbol of the original document image and the corresponding candidate symbol of the target document image using a point matching method to determine whether any of the corresponding candidate symbols of the original and target document images are different; and (g) visualizing the differences detected in step (f). 9. The computer program product of claim 8 , wherein the barcode further encodes a plurality of original word bounding boxes each corresponding to a word in the original document, wherein step (c) further includes obtaining the plurality of original word bounding boxes from the barcode, and wherein step (e) comprises: (e1) segmenting the target document image into words to obtain target word bounding boxes corresponding to words in the target document image; (e2) matching at least some of the plurality of original word bounding boxes obtained in step (c) and at least some of the target word bounding boxes obtained in step (e1) to align the target document mage; (e3) based on the alignment obtained in step (e2), further aligning the target document image using the target document image and the original document image. | 0.5 |
9,509,847 | 8 | 9 | 8. The method of claim 4 , wherein the identity of the interaction is provided by an interaction provider. | 8. The method of claim 4 , wherein the identity of the interaction is provided by an interaction provider. 9. The method of claim 8 , wherein the interaction provider comprises service capable of delivering an interaction to at least one of the plurality of endpoints in the contact center operation system. | 0.5 |
8,468,142 | 11 | 12 | 11. The method of claim 1 , further comprising partitioning, by the one or more computer systems, the sixth BDD into a plurality of seventh BDDs, wherein a sum of sizes of the seventh BDDs is less than a size of the sixth BDD. | 11. The method of claim 1 , further comprising partitioning, by the one or more computer systems, the sixth BDD into a plurality of seventh BDDs, wherein a sum of sizes of the seventh BDDs is less than a size of the sixth BDD. 12. The method of claim 11 , further comprising storing, by the one or more computer systems, the plurality of seventh BDDs. | 0.5 |
8,606,576 | 1 | 11 | 1. A method comprising: receiving, by a first computing device, one or more speech inputs during a conversation associated with a particular audio communication between the first computing device and a second device, wherein the first computing device stores identifying information associated with a contact associated with the second device, the identifying information comprising a name of the contact and an image associated with the contact; performing, by the first computing device, speech-to-text processing on the one or more speech inputs to generate text based on the one or more speech inputs; performing, by the first computing device and based on one or more keyword extraction criteria, keyword extraction processing on the text to generate one or more keywords that are relevant indicators of the conversation associated with the particular audio communication, wherein the one or more keyword extraction criteria comprise at least one criterion related to whether a word is used by at least two participants in the conversation; storing, by the first computing device, the one or more keywords; and outputting, by the first computing device and for display, a graphical representation of the one or more keywords in association with the identifying information comprising the name of the contact and the image associated with the contact. | 1. A method comprising: receiving, by a first computing device, one or more speech inputs during a conversation associated with a particular audio communication between the first computing device and a second device, wherein the first computing device stores identifying information associated with a contact associated with the second device, the identifying information comprising a name of the contact and an image associated with the contact; performing, by the first computing device, speech-to-text processing on the one or more speech inputs to generate text based on the one or more speech inputs; performing, by the first computing device and based on one or more keyword extraction criteria, keyword extraction processing on the text to generate one or more keywords that are relevant indicators of the conversation associated with the particular audio communication, wherein the one or more keyword extraction criteria comprise at least one criterion related to whether a word is used by at least two participants in the conversation; storing, by the first computing device, the one or more keywords; and outputting, by the first computing device and for display, a graphical representation of the one or more keywords in association with the identifying information comprising the name of the contact and the image associated with the contact. 11. The method of claim 1 , wherein outputting the graphical representation comprises outputting the graphical representation in a communication log based on a history of both audio communications and text-based messages comprising at least one of email messages and Short Message Service (SMS) text messages. | 0.683402 |
9,632,772 | 2 | 3 | 2. The computer program product of claim 1 , wherein the wizard uses an XML plug-in to determine how to handle the collection, and the reconstructing using the wizard comprises: retrieving the one or more base objects for the collection using the one or more annotations determined from the one or more objects of the collection; retrieving a template for reconstructing the collection as an XML using the retrieved one or more base objects for the collection; and reconstructing the collection by wrapping the retrieved one or more base objects as elements in the retrieved template. | 2. The computer program product of claim 1 , wherein the wizard uses an XML plug-in to determine how to handle the collection, and the reconstructing using the wizard comprises: retrieving the one or more base objects for the collection using the one or more annotations determined from the one or more objects of the collection; retrieving a template for reconstructing the collection as an XML using the retrieved one or more base objects for the collection; and reconstructing the collection by wrapping the retrieved one or more base objects as elements in the retrieved template. 3. The computer program product of claim 2 , wherein the template is retrieved for a hash, map or library, which documents the one or more base object. | 0.568571 |
8,798,986 | 18 | 19 | 18. The method of claim 13 , wherein the executing includes capturing speech parameters of the input source phrase, applying the captured speech parameters to the phrase template associated with the destination language, and using the result to mimic characteristics of the input source phrase. | 18. The method of claim 13 , wherein the executing includes capturing speech parameters of the input source phrase, applying the captured speech parameters to the phrase template associated with the destination language, and using the result to mimic characteristics of the input source phrase. 19. The method of claim 18 , wherein the captured speech parameters include the pitch, cadence, and tone characteristics of the input source phrase. | 0.5 |
8,484,015 | 9 | 13 | 9. A method for use in a natural language (NL) system that generates answers to NL queries, the method comprising: generating, using one or more computing devices, a set of one or more potential alternative NL queries that are related to a first NL query; providing, using one or more computing devices, the set of one or more potential alternative NL queries to an NL query answering system implemented by one or more computing devices; receiving, from the NL query answering system, one or more respective answers to the one or more potential alternative NL queries in the set, wherein the one or more respective answers are based on data stored in a first database; generating, using one or more computing devices, one or more web pages corresponding to the one or more respective answers, wherein each web page is configured to display the respective answer; and storing in a second database the one or more web pages. | 9. A method for use in a natural language (NL) system that generates answers to NL queries, the method comprising: generating, using one or more computing devices, a set of one or more potential alternative NL queries that are related to a first NL query; providing, using one or more computing devices, the set of one or more potential alternative NL queries to an NL query answering system implemented by one or more computing devices; receiving, from the NL query answering system, one or more respective answers to the one or more potential alternative NL queries in the set, wherein the one or more respective answers are based on data stored in a first database; generating, using one or more computing devices, one or more web pages corresponding to the one or more respective answers, wherein each web page is configured to display the respective answer; and storing in a second database the one or more web pages. 13. The method of claim 9 , wherein interpreting the first NL query to generate a disambiguated second query comprises: disambiguating, using one or more computing devices, the first NL query to determine a first entity associated with the first NL query; and determining, using one or more computing devices, a queried attribute of the first entity; and wherein algorithmically varying the disambiguated second query to generate one or more third queries comprises substituting, using one or more computing devices, for the queried attribute one or more second attributes of the first entity. | 0.530111 |
9,116,890 | 10 | 14 | 10. The system of claim 9 , wherein the operations further comprise: receiving information associated with a user performing the image capture process on the rendered document; identifying the user, based on the received information; identifying the rendered document, based on the output of performing the image capture process; identifying, from a corpus of electronic documents, an electronic document that corresponds to the rendered document; and storing, in a repository, a record of the instruction to perform the particular action, the record comprising an identifier of the user, an identifier of the electronic document, an identifier of the particular action, and a timestamp associated with performing the particular action. | 10. The system of claim 9 , wherein the operations further comprise: receiving information associated with a user performing the image capture process on the rendered document; identifying the user, based on the received information; identifying the rendered document, based on the output of performing the image capture process; identifying, from a corpus of electronic documents, an electronic document that corresponds to the rendered document; and storing, in a repository, a record of the instruction to perform the particular action, the record comprising an identifier of the user, an identifier of the electronic document, an identifier of the particular action, and a timestamp associated with performing the particular action. 14. The system of claim 10 , wherein the operations further comprise: receiving a request for document identifiers of documents on which the particular action has been performed; locating records stored in the repository that are associated with the identifier of the particular action; and providing document identifiers associated with the located records. | 0.523936 |
8,645,119 | 5 | 11 | 5. A computer-implemented method comprising: determining, with a data processing apparatus having one or more processors, a group of candidate translations for each source sentence in a plurality of source sentences; and for one or more iterations: calculating, with the data processing apparatus, a first aggregate error surface and an optimal model parameter for each feature function in a plurality of feature functions for a linear statistical machine translation model; ranking, with the data processing apparatus, the plurality of feature functions according to a quality criterion; calculating, with the data processing apparatus, a second aggregate error surface and an optimal number of updates for ranked feature functions; determining, with the data processing apparatus, a group of feature functions from the plurality of feature functions using the optimal number of updates for ranked feature functions, the group of feature functions including a particular feature function if updating the particular feature function with the respective optimal model parameter does not increase an error count; and updating, with the data processing apparatus, each feature function of the group of feature functions with the corresponding optimal model parameter. | 5. A computer-implemented method comprising: determining, with a data processing apparatus having one or more processors, a group of candidate translations for each source sentence in a plurality of source sentences; and for one or more iterations: calculating, with the data processing apparatus, a first aggregate error surface and an optimal model parameter for each feature function in a plurality of feature functions for a linear statistical machine translation model; ranking, with the data processing apparatus, the plurality of feature functions according to a quality criterion; calculating, with the data processing apparatus, a second aggregate error surface and an optimal number of updates for ranked feature functions; determining, with the data processing apparatus, a group of feature functions from the plurality of feature functions using the optimal number of updates for ranked feature functions, the group of feature functions including a particular feature function if updating the particular feature function with the respective optimal model parameter does not increase an error count; and updating, with the data processing apparatus, each feature function of the group of feature functions with the corresponding optimal model parameter. 11. The method of claim 5 , further comprising: recalculating the second aggregate error surface and the optimal number of updates for ranked feature functions using the determined group of feature functions. | 0.855956 |
8,219,386 | 16 | 18 | 16. The electronic poetry meter identification method according to claim 15 , further comprising the steps of parsing and coding recognized sequences of Arabic syllabic patterns into Khalili transcription. | 16. The electronic poetry meter identification method according to claim 15 , further comprising the steps of parsing and coding recognized sequences of Arabic syllabic patterns into Khalili transcription. 18. The electronic poetry meter identification method according to claim 16 , further comprising the steps of parsing Arabic poem text into Arabic syllables; identifying the Arabic syllables by their common syllabic patterns; and encoding the resulting Arabic syllabic pattern sequence into Khalili transcription. | 0.5 |
9,141,672 | 19 | 20 | 19. The system of claim 18 , wherein the operations comprise: ranking the search results included in the set of search results that includes (i) the one or more of the search results that were identified using the initial search query and (ii) the one or more of the search results that were identified using the one or more revised search queries; determining, using the query log data, that a search result that is ranked above the particular search result is one of the search results that were identified using the one or more revised search queries; and in response to determining that the search result that is ranked above the particular search result is one of the search results that were identified using the one or more revised search queries, adjusting a skip count for the one or more query term optionalization rules that are specific to the particular query term. | 19. The system of claim 18 , wherein the operations comprise: ranking the search results included in the set of search results that includes (i) the one or more of the search results that were identified using the initial search query and (ii) the one or more of the search results that were identified using the one or more revised search queries; determining, using the query log data, that a search result that is ranked above the particular search result is one of the search results that were identified using the one or more revised search queries; and in response to determining that the search result that is ranked above the particular search result is one of the search results that were identified using the one or more revised search queries, adjusting a skip count for the one or more query term optionalization rules that are specific to the particular query term. 20. The system of claim 19 , wherein the operations comprise assigning a score to the one or more query term optionalization rules that are specific to the particular query term based at least on the click count and the skip count. | 0.5 |
8,762,368 | 1 | 5 | 1. A method comprising: receiving, by at least one of one or more server devices and from a client, a search query; receiving, by at least one of the one or more server devices and from the client, information identifying a document, the document being associated with context information; obtaining, by at least one of the one or more server devices, search results based on the search query, the search results identifying documents relevant to the search query; analyzing, by at least one of the one or more server devices, the context information to identify content; generating, by at least one of the one or more server devices, a plurality of first scores for a hierarchy of topics, each first score, of the plurality of first scores, corresponding to a respective measure of relevance of each topic, of the hierarchy of topics, to the content; selecting, by at least one of the one or more server devices, a topic, of the hierarchy of topics, as being most relevant to the context information when the topic is associated with a greatest first score of the plurality of first scores; generating, by at least one of the one or more server devices, a plurality of second scores for the search results, each second score, of the plurality of second scores, corresponding to a respective measure of relevance, of each of the search results, to the topic; selecting, by at least one of the one or more server devices, one or more of the search results, as a selected one or more search results, as being most relevant to the topic when the one or more of the search results are associated with one or more greatest second scores, of the plurality of second scores; generating, by at least one of the one or more server devices, a search result document that includes the selected one or more search results; and providing, for presentation and by at least one of the one or more server devices, the generated search result document including the selected one or more search results. | 1. A method comprising: receiving, by at least one of one or more server devices and from a client, a search query; receiving, by at least one of the one or more server devices and from the client, information identifying a document, the document being associated with context information; obtaining, by at least one of the one or more server devices, search results based on the search query, the search results identifying documents relevant to the search query; analyzing, by at least one of the one or more server devices, the context information to identify content; generating, by at least one of the one or more server devices, a plurality of first scores for a hierarchy of topics, each first score, of the plurality of first scores, corresponding to a respective measure of relevance of each topic, of the hierarchy of topics, to the content; selecting, by at least one of the one or more server devices, a topic, of the hierarchy of topics, as being most relevant to the context information when the topic is associated with a greatest first score of the plurality of first scores; generating, by at least one of the one or more server devices, a plurality of second scores for the search results, each second score, of the plurality of second scores, corresponding to a respective measure of relevance, of each of the search results, to the topic; selecting, by at least one of the one or more server devices, one or more of the search results, as a selected one or more search results, as being most relevant to the topic when the one or more of the search results are associated with one or more greatest second scores, of the plurality of second scores; generating, by at least one of the one or more server devices, a search result document that includes the selected one or more search results; and providing, for presentation and by at least one of the one or more server devices, the generated search result document including the selected one or more search results. 5. The method of claim 1 , further comprising: determining whether the greatest first score is greater than a threshold; and sending, to the client, a search result document, that includes the search results based on the search query, when the greatest first score is not greater than the threshold, where, when providing for presentation the generated search result document, the method includes: providing, for presentation, the generated search result document, that includes the selected one or more search results, when the greatest first score is greater than the threshold. | 0.752348 |
8,166,394 | 1 | 6 | 1. A computer-implemented method comprising: providing a user interface for creating electronic content, the user interface comprising a canvas for displaying objects used in electronic content being created and the user interface comprising tools for editing the appearance and functionality of the objects; in response to receiving selection of an analytics tool to add tracking to the electronic content being created and selection of an object as a selected object, presenting events associated with the selected object that can be tracked, wherein tracking an event comprises sending information to a collector about occurrences of the event that occur when the electronic content is used; receiving input selecting one of the events as a tracked event; and generating instructions stored in a computer-readable medium, the instructions for implementing tracking of the tracked event in the electronic content. | 1. A computer-implemented method comprising: providing a user interface for creating electronic content, the user interface comprising a canvas for displaying objects used in electronic content being created and the user interface comprising tools for editing the appearance and functionality of the objects; in response to receiving selection of an analytics tool to add tracking to the electronic content being created and selection of an object as a selected object, presenting events associated with the selected object that can be tracked, wherein tracking an event comprises sending information to a collector about occurrences of the event that occur when the electronic content is used; receiving input selecting one of the events as a tracked event; and generating instructions stored in a computer-readable medium, the instructions for implementing tracking of the tracked event in the electronic content. 6. The method of claim 1 further comprising, in response to receiving the input to add tracking to the content being created, modifying a mouse cursor appearance to provide a visual indication that the user interface is now in an analytic configuration mode. | 0.564189 |
8,036,876 | 1 | 2 | 1. A computer-implemented method of defining a lexical database ontology comprising: accessing a lexical database comprising a plurality of concepts individually including a plurality of different words; accessing a corpus of documents; using a processor, identifying occurrences of the words in the documents of the corpus; using the processor, counting a plurality of frequency counts for the concepts, wherein the counting includes incrementing the frequency counts of the concepts using the identifying of the occurrences of the words of the respective concepts in the documents; using the processor, analyzing the frequency counts; using the processor, selecting a plurality of the concepts as event classes of a lexical database ontology using the analyzing, wherein the event classes of the lexical database ontology are usable to disambiguate textual content; and wherein each concept includes a sense of a word lemma, and wherein the counting for one of the concepts comprises incrementing the frequency count of the one concept, for each occurrence of the word lemma in the documents of the corpus which is included in the one concept, by 1/n where n is the total number of concepts which include a sense of the world lemma. | 1. A computer-implemented method of defining a lexical database ontology comprising: accessing a lexical database comprising a plurality of concepts individually including a plurality of different words; accessing a corpus of documents; using a processor, identifying occurrences of the words in the documents of the corpus; using the processor, counting a plurality of frequency counts for the concepts, wherein the counting includes incrementing the frequency counts of the concepts using the identifying of the occurrences of the words of the respective concepts in the documents; using the processor, analyzing the frequency counts; using the processor, selecting a plurality of the concepts as event classes of a lexical database ontology using the analyzing, wherein the event classes of the lexical database ontology are usable to disambiguate textual content; and wherein each concept includes a sense of a word lemma, and wherein the counting for one of the concepts comprises incrementing the frequency count of the one concept, for each occurrence of the word lemma in the documents of the corpus which is included in the one concept, by 1/n where n is the total number of concepts which include a sense of the world lemma. 2. The method of claim 1 wherein the concepts individually comprise a synonym set comprising a plurality of synonyms related to the individual concept. | 0.751645 |
9,463,334 | 11 | 15 | 11. The non-transitory computer-readable storage medium of claim 10 , wherein said method further comprises: accessing a plurality of sets of training data; and generating said plurality of predictive models based on said plurality sets of training data. | 11. The non-transitory computer-readable storage medium of claim 10 , wherein said method further comprises: accessing a plurality of sets of training data; and generating said plurality of predictive models based on said plurality sets of training data. 15. The non-transitory computer-readable storage medium of claim 11 , wherein said plurality of features are selected from a group consisting of organ identification, organ dimension descriptions, target location, target size, and geometric characterizations of one or more organs at risk proximate to a target volume. | 0.743548 |
9,384,272 | 10 | 11 | 10. A system for identifying a cover song from a query song, the system comprising: a hardware processor that: generates a beat-synchronized chroma matrix of a plurality of chroma vectors each having a plurality of chroma bins for a portion of the query song; identifies landmarks in the beat-synchronized chroma matrix, wherein a first prominent pitch at a first time in the portion of the query song and a second prominent pitch in the portion of the query song each correspond to an identified landmark; calculates a query song jumpcode based on differences between successive pairs of the identified landmarks in a time window of a size less than the size of the portion of the song identifies a plurality of reference song jumpcodes for a reference song, wherein each of the reference song jumpcodes is based at least in part on a change in prominent pitch between two times in a portion of the reference song; determines if the query song jumpcode matches any of the plurality of reference song jumpcodes; and upon determining that the query song jumpcode matches at least one of the plurality of reference song jumpcodes, generates an indication that the reference song is a cover song of the query song. | 10. A system for identifying a cover song from a query song, the system comprising: a hardware processor that: generates a beat-synchronized chroma matrix of a plurality of chroma vectors each having a plurality of chroma bins for a portion of the query song; identifies landmarks in the beat-synchronized chroma matrix, wherein a first prominent pitch at a first time in the portion of the query song and a second prominent pitch in the portion of the query song each correspond to an identified landmark; calculates a query song jumpcode based on differences between successive pairs of the identified landmarks in a time window of a size less than the size of the portion of the song identifies a plurality of reference song jumpcodes for a reference song, wherein each of the reference song jumpcodes is based at least in part on a change in prominent pitch between two times in a portion of the reference song; determines if the query song jumpcode matches any of the plurality of reference song jumpcodes; and upon determining that the query song jumpcode matches at least one of the plurality of reference song jumpcodes, generates an indication that the reference song is a cover song of the query song. 11. The system of claim 10 , wherein the processor is further configured to normalize values within each the plurality of chroma vectors of the beat-synchronized chroma matrix based on one of the plurality of chroma bins having a maximum value in the chroma vector. | 0.854235 |
9,537,674 | 15 | 23 | 15. A non-transitory computer readable storage medium containing a program for execution by a computer having a display, the program implementing a message notification system to notify a user about incoming messages stored in an inbox, the notification system comprising: a) an input interface to receive size information and originator information about a plurality of messages in the inbox; b) a processing entity coupled to the input interface for generating message visualization structure associated with each of the plurality of messages, for each message: the processing entity determining a first non-textual visual feature of the message visualization structure on the basis of the size information of the respective message and determining a second non-textual visual feature of the message visualization structure on the basis of the originator information of the respective message; c) an output interface for releasing output data to cause the display of the computer to render the visualization structures, the output data defining a graphical environment in which the message visualization structures are rendered on the display simultaneously and convey information about the messages, their respective sizes, and their respective originator information in a non-textual-list manner, wherein at least one of the first non-textual visual feature and the second non-textual visual feature includes an animation of the message visualization structure associated with the corresponding message. | 15. A non-transitory computer readable storage medium containing a program for execution by a computer having a display, the program implementing a message notification system to notify a user about incoming messages stored in an inbox, the notification system comprising: a) an input interface to receive size information and originator information about a plurality of messages in the inbox; b) a processing entity coupled to the input interface for generating message visualization structure associated with each of the plurality of messages, for each message: the processing entity determining a first non-textual visual feature of the message visualization structure on the basis of the size information of the respective message and determining a second non-textual visual feature of the message visualization structure on the basis of the originator information of the respective message; c) an output interface for releasing output data to cause the display of the computer to render the visualization structures, the output data defining a graphical environment in which the message visualization structures are rendered on the display simultaneously and convey information about the messages, their respective sizes, and their respective originator information in a non-textual-list manner, wherein at least one of the first non-textual visual feature and the second non-textual visual feature includes an animation of the message visualization structure associated with the corresponding message. 23. A non-transitory computer readable storage medium as defined in claim 15 , wherein at least one of the visualization structures appear as three-dimensional structure. | 0.671815 |
7,826,979 | 7 | 8 | 7. The method of claim 6 , further comprising evaluating each output model of the plurality. | 7. The method of claim 6 , further comprising evaluating each output model of the plurality. 8. The method of claim 7 , wherein the evaluating comprises determining one or more of lipophilic interactions, hydrogen bonding, repulsion, and intramolecular strain energy undergone by the ligand to provide for binding between the substructure of the query ligand of b) and the target macromolecule. | 0.5 |
8,799,096 | 10 | 16 | 10. A recommendation selection system, comprising: a rule evaluator for producing a set of candidate recommendations; and a recommendation selector that uses a probabilistic purchase decision model to rank each of the candidate recommendations using one or more purchase decision gating factors to calculate, for each candidate recommendation, a boost in expected margin resulting from the candidate recommendation being issued, as compared to the candidate recommendation not being issued. | 10. A recommendation selection system, comprising: a rule evaluator for producing a set of candidate recommendations; and a recommendation selector that uses a probabilistic purchase decision model to rank each of the candidate recommendations using one or more purchase decision gating factors to calculate, for each candidate recommendation, a boost in expected margin resulting from the candidate recommendation being issued, as compared to the candidate recommendation not being issued. 16. The system of claim 10 , where the purchase decision gating factors for each candidate recommendation comprise a relevance measure, an expected exposure measure, an expected clarity measure, a post-recommendation exposure measure, a post-recommendation clarity measure and a session age measure. | 0.5 |
9,406,089 | 1 | 42 | 1. A computer-implemented method for populating an electronic tax return, the computer-implemented method being executed by a mobile communication device comprising a data store comprising a tax return preparation application operable to prepare an electronic tax return, a first camera that is a front facing camera, a second camera that is a rear facing camera, a microphone and a video/voice processor, each of the data store, the first camera, the second camera and the microphone being in communication with the video/voice processor, the method comprising: the mobile communication device, by the first camera, recording a video of a tax document, the recorded video comprising a plurality of video frames and voice data generated based on a user of the mobile communication device speaking into the microphone during recording of the video, the voice data comprising a user-spoken description of how the tax document is relevant to the electronic tax return; converting, by the video/voice processor of the mobile communication device, the voice data from a voice format into a text format; analyzing, by the video/voice processor, at least one video frame of the video and the voice data in the text format to determine a document type and tax data contained within the at least one video frame; identifying, by the tax return preparation application executed by a processor of the mobile communication device, a field of the electronic tax return to be populated with determined tax data of the determined document type; populating, by the tax return preparation application, the field of the electronic tax return with the determined tax data to prepare at least a portion of the electronic tax return without the user typing tax data of the tax document that was captured in the video into the field of the electronic tax return; detecting, by the second camera, a facial expression or gesture of the user during preparation of the electronic tax return; determining, by the video/voice processor, a first response based at least in part on the detected facial expression or gesture; and presenting, by the tax return preparation application, the first response to the user during preparation of the electronic tax return. | 1. A computer-implemented method for populating an electronic tax return, the computer-implemented method being executed by a mobile communication device comprising a data store comprising a tax return preparation application operable to prepare an electronic tax return, a first camera that is a front facing camera, a second camera that is a rear facing camera, a microphone and a video/voice processor, each of the data store, the first camera, the second camera and the microphone being in communication with the video/voice processor, the method comprising: the mobile communication device, by the first camera, recording a video of a tax document, the recorded video comprising a plurality of video frames and voice data generated based on a user of the mobile communication device speaking into the microphone during recording of the video, the voice data comprising a user-spoken description of how the tax document is relevant to the electronic tax return; converting, by the video/voice processor of the mobile communication device, the voice data from a voice format into a text format; analyzing, by the video/voice processor, at least one video frame of the video and the voice data in the text format to determine a document type and tax data contained within the at least one video frame; identifying, by the tax return preparation application executed by a processor of the mobile communication device, a field of the electronic tax return to be populated with determined tax data of the determined document type; populating, by the tax return preparation application, the field of the electronic tax return with the determined tax data to prepare at least a portion of the electronic tax return without the user typing tax data of the tax document that was captured in the video into the field of the electronic tax return; detecting, by the second camera, a facial expression or gesture of the user during preparation of the electronic tax return; determining, by the video/voice processor, a first response based at least in part on the detected facial expression or gesture; and presenting, by the tax return preparation application, the first response to the user during preparation of the electronic tax return. 42. The computer-implemented method of claim 1 , the mobile communication device further comprising a biometric sensor that is in communication with the video/voice processor, further comprising: receiving, by the video/voice processor, data of a biometric sensor of the mobile communication device; determining, by the video/voice processor, a second response based at least in part upon the biometric data satisfying pre-determined criteria; and presenting, by the tax return preparation application, the determined second response to the user. | 0.576744 |
10,083,016 | 15 | 16 | 15. The one or more memories of claim 14 , the method further comprising: compiling the second version of the formula method to obtain machine code for the second version of the formula method. | 15. The one or more memories of claim 14 , the method further comprising: compiling the second version of the formula method to obtain machine code for the second version of the formula method. 16. The one or more memories of claim 15 , the method further comprising: executing the obtained machine code to populate the values into at least a portion of the distinguished database fields. | 0.78821 |
9,852,192 | 8 | 9 | 8. A method for recommending media content, comprising: determining, using a hardware processor, that a session including presentation of at least a first media content item and a second media content item is likely to have ended, wherein the second media content item is presented within a given span of the presentation of the first media content item; in response to determining that the session is likely to have ended, determining, using the hardware processor, a first plurality of topics associated with the first media content item and the second media content item; determining, using the hardware processor, a second plurality of topics associated with the media content presentation session based on distance information for pairs of topics in the first plurality of topics, wherein each of the pairs of topics includes a first topic associated with the first media content item and a second topic associated with the second media content item; and transmitting, using the hardware processor, an indication of a plurality of media content items that correspond to at least a portion of the second plurality of topics. | 8. A method for recommending media content, comprising: determining, using a hardware processor, that a session including presentation of at least a first media content item and a second media content item is likely to have ended, wherein the second media content item is presented within a given span of the presentation of the first media content item; in response to determining that the session is likely to have ended, determining, using the hardware processor, a first plurality of topics associated with the first media content item and the second media content item; determining, using the hardware processor, a second plurality of topics associated with the media content presentation session based on distance information for pairs of topics in the first plurality of topics, wherein each of the pairs of topics includes a first topic associated with the first media content item and a second topic associated with the second media content item; and transmitting, using the hardware processor, an indication of a plurality of media content items that correspond to at least a portion of the second plurality of topics. 9. The method of claim 8 , further comprising selecting the first media content item and the second media content item from media content search results that are responsive to search terms. | 0.517857 |
9,971,574 | 22 | 23 | 22. The non-transitory computer-readable medium of claim 20 further comprising: code for determining a positive evaluation of the one or more tests; and code for performing the one or more transformations based on the positive evaluation of the one or more tests. | 22. The non-transitory computer-readable medium of claim 20 further comprising: code for determining a positive evaluation of the one or more tests; and code for performing the one or more transformations based on the positive evaluation of the one or more tests. 23. The non-transitory computer-readable medium of claim 22 wherein the code for performing the one or more transformations comprises code for renaming an attribute of the first object, performing one or more numerical operations with respect to a value of an attribute of the first object, performing one or more string operations with respect to a value of an attribute of the first object, adding one or more attributes to an attribute of the first object which is also an object, or removing one or more attributes from an attribute of the first object which is also an object. | 0.5 |
9,413,622 | 14 | 17 | 14. The client device to receive server information according to claim 10 , further comprising: a client device side proxy to intercept the request for the web page content via a proxy Internet Protocol (IP)/port. | 14. The client device to receive server information according to claim 10 , further comprising: a client device side proxy to intercept the request for the web page content via a proxy Internet Protocol (IP)/port. 17. The client device to receive server information according to claim 14 , wherein: the client device side proxy compresses a raw payload of the request for the web page content prior to transmitting the request for web page content. | 0.58363 |
7,942,410 | 1 | 8 | 1. A printing system comprising: a sheet media source capable of dispensing individual sheets of media; a sheet media outlet capable of outputting marked sheets of media; a marking unit operatively connected between said sheet media source and said sheet media outlet and adapted to generate marked sheets of media from said individual sheets of media dispensed by said sheet media source; and, an original document imaging system operative to transfer an image of an associated original document to said marking unit for marking on an individual sheet of media, said original document imaging system including: a document transport system capable of transporting an associated original document from a first transport position through an imaging zone to a second transport position with a leading edge of the associated original document disposed upstream of said imaging zone in said first transport position and with a trailing edge of the associated original document disposed downstream of said imaging zone in said second transport position; an image pathway extending from said imaging zone in optical communication with said marking unit; a document guide disposed in operative relation to said document transport system and capable of directing an associated original document toward said imaging zone, said document guide having an elongated length and including a proximal edge extending along said elongated length, a distal edge extending along said elongated length and disposed a first distance from said imaging zone, a plurality of ribs spaced along said elongated length and at least partially forming a plurality of guide surface portions that at least partially define a document transport pathway in communication with said imaging zone, and a root wall extending along said elongated length and disposed between adjacent ones of said plurality of guide surface portions; and, at least one document biasing element including a fixed end secured along said root wall of said document guide and a free end extending from said distal edge of said document guide and adapted to urge the associated original document toward said document transport system until the trailing edge of the associated original document extends beyond said distal edge of said document guide by a second distance from said imaging zone that is less than said first distance. | 1. A printing system comprising: a sheet media source capable of dispensing individual sheets of media; a sheet media outlet capable of outputting marked sheets of media; a marking unit operatively connected between said sheet media source and said sheet media outlet and adapted to generate marked sheets of media from said individual sheets of media dispensed by said sheet media source; and, an original document imaging system operative to transfer an image of an associated original document to said marking unit for marking on an individual sheet of media, said original document imaging system including: a document transport system capable of transporting an associated original document from a first transport position through an imaging zone to a second transport position with a leading edge of the associated original document disposed upstream of said imaging zone in said first transport position and with a trailing edge of the associated original document disposed downstream of said imaging zone in said second transport position; an image pathway extending from said imaging zone in optical communication with said marking unit; a document guide disposed in operative relation to said document transport system and capable of directing an associated original document toward said imaging zone, said document guide having an elongated length and including a proximal edge extending along said elongated length, a distal edge extending along said elongated length and disposed a first distance from said imaging zone, a plurality of ribs spaced along said elongated length and at least partially forming a plurality of guide surface portions that at least partially define a document transport pathway in communication with said imaging zone, and a root wall extending along said elongated length and disposed between adjacent ones of said plurality of guide surface portions; and, at least one document biasing element including a fixed end secured along said root wall of said document guide and a free end extending from said distal edge of said document guide and adapted to urge the associated original document toward said document transport system until the trailing edge of the associated original document extends beyond said distal edge of said document guide by a second distance from said imaging zone that is less than said first distance. 8. A printing system according to claim 1 , wherein said document transport system includes a document transport roll having an outer surface for contacting and frictionally engaging the associated original document, said outer surface having a cylindrical shape and a radius of curvature, and said plurality of guide surface portions having a curvature between said proximal edge and said distal edge with said curvature being complimentary to said radius of curvature of said document transport roll such that said document transport pathway is at least partially defined therebetween. | 0.5 |
8,904,474 | 22 | 23 | 22. The method of claim 16 , wherein enabling the at least one object to be returned across the one or more domains is performed by returning a proxy object associated with the at least one object, the proxy object created in a type system associated with the calling system. | 22. The method of claim 16 , wherein enabling the at least one object to be returned across the one or more domains is performed by returning a proxy object associated with the at least one object, the proxy object created in a type system associated with the calling system. 23. The method of claim 22 , the at least one object associated with the proxy object comprising a function. | 0.672727 |
8,195,467 | 20 | 23 | 20. A wireless electronic device comprising: a speech recognizer coupled to receive first speech input; a memory, the memory comprising one or more stored resource access numbers; a voice user interface for interacting with a user using speech recognition or speech synthesis; and a Bluetooth wireless transceiver for communicating with a second electronic device, the second electronic device comprising a cellular phone, wherein said wireless electronic device is a Bluetooth headset, wherein the speech recognizer is configured to recognize a first spoken command word, and wherein if the first command word is recognized in the first speech input, then the speech recognizer generates a corresponding first command result, and wherein if the first command result matches a predefined criteria, then the Bluetooth headset automatically accesses the resource access number from memory and establishes a Bluetooth communication channel between said Bluetooth headset and the second electronic device and sends the resource access number and an externally executed command to the second electronic device, wherein the externally executed command and resource access number are received by the second electronic device, and the externally executed command is executed on the second electronic device, and in accordance therewith, the second electronic device uses the resource access number to establish a communication channel between said second electronic device and at least one remote device, the at least one remote device comprising a voice search engine, and wherein a user provides second speech input to said microphone, and wherein the second speech input is sent from the Bluetooth headset to the second electronic device and through the communication channel to the at least one remote device, and the voice search engine on the at least one remote device performs speech recognition on the second speech input. | 20. A wireless electronic device comprising: a speech recognizer coupled to receive first speech input; a memory, the memory comprising one or more stored resource access numbers; a voice user interface for interacting with a user using speech recognition or speech synthesis; and a Bluetooth wireless transceiver for communicating with a second electronic device, the second electronic device comprising a cellular phone, wherein said wireless electronic device is a Bluetooth headset, wherein the speech recognizer is configured to recognize a first spoken command word, and wherein if the first command word is recognized in the first speech input, then the speech recognizer generates a corresponding first command result, and wherein if the first command result matches a predefined criteria, then the Bluetooth headset automatically accesses the resource access number from memory and establishes a Bluetooth communication channel between said Bluetooth headset and the second electronic device and sends the resource access number and an externally executed command to the second electronic device, wherein the externally executed command and resource access number are received by the second electronic device, and the externally executed command is executed on the second electronic device, and in accordance therewith, the second electronic device uses the resource access number to establish a communication channel between said second electronic device and at least one remote device, the at least one remote device comprising a voice search engine, and wherein a user provides second speech input to said microphone, and wherein the second speech input is sent from the Bluetooth headset to the second electronic device and through the communication channel to the at least one remote device, and the voice search engine on the at least one remote device performs speech recognition on the second speech input. 23. The device of claim 20 wherein the memory comprises a plurality of stored resource access numbers, and wherein the speech recognizer is configured to recognize a plurality of spoken command words to recognize a plurality of utterances corresponding to the stored resource access numbers, and wherein a first resource access number is accessed if a corresponding first utterance is recognized and a second resource access number is accessed if a corresponding second utterance is recognized, and wherein different resource access numbers access different nodes of a voice search engine search tree. | 0.5 |
5,410,611 | 28 | 31 | 28. The method of claim 19, wherein the step of locating text rows comprises the steps of: (a) projecting the connected component boundaries onto a vertical axis of the image; (b) generating a histogram which reflects the frequency of boundaries projected as a position along the vertical axis; (c) identifying the space separating text rows as points along the vertical axis of the image where minimums are present in the histogram generated in step (b). | 28. The method of claim 19, wherein the step of locating text rows comprises the steps of: (a) projecting the connected component boundaries onto a vertical axis of the image; (b) generating a histogram which reflects the frequency of boundaries projected as a position along the vertical axis; (c) identifying the space separating text rows as points along the vertical axis of the image where minimums are present in the histogram generated in step (b). 31. The method of claim 28, wherein the step of locating text rows further comprises the steps of: (a) projecting, onto a horizontal axis of the image, the boundaries of each group of connected components within a text row; (b) eliminating from said projection data which is representative of noise; and (c) dividing a row, where the horizontal axis projection indicates greater than a predetermined percentage of overlapping boundaries for the text row, into a plurality of separate text rows. | 0.5 |
6,134,532 | 71 | 76 | 71. A method of adapting an entity vector on a computer including a data storage, comprising: converting an observed behavior of a user into a behavior vector, and modifying an entity vector indicative of an item based on the behavior vector. | 71. A method of adapting an entity vector on a computer including a data storage, comprising: converting an observed behavior of a user into a behavior vector, and modifying an entity vector indicative of an item based on the behavior vector. 76. The method as defined in claim 71, wherein the observed user behavior comprises a user query, and the converting includes transforming the user query into vectors based upon the component words of the user query. | 0.841874 |
9,400,549 | 1 | 3 | 1. A non-transitory computer readable storage medium comprising a plurality of instructions that include content of an electronic book, the plurality of instructions, when executed by a computing device, result in the computing device: presenting at least a portion of the content of the electronic book at least via a display of the computing device to a user; retrieving an attribute of the user regarding a geographical location of the user; changing at least a portion of the content of the electronic book to be presented in view of the attribute of the user; and presenting the changed at least a portion of the content of the electronic book at least via the display to the user, wherein the computing device includes at least a sensor to sense the geographical location of the user, wherein the computing device to be connected to a network, which includes a social network that at least allows a plurality of people to enter materials and allows them to access the entered materials, and wherein the plurality of instructions, when executed by the computing device, further result in the computing device changing at least another portion of the content of the electronic book to be presented via the display, in view of the social network. | 1. A non-transitory computer readable storage medium comprising a plurality of instructions that include content of an electronic book, the plurality of instructions, when executed by a computing device, result in the computing device: presenting at least a portion of the content of the electronic book at least via a display of the computing device to a user; retrieving an attribute of the user regarding a geographical location of the user; changing at least a portion of the content of the electronic book to be presented in view of the attribute of the user; and presenting the changed at least a portion of the content of the electronic book at least via the display to the user, wherein the computing device includes at least a sensor to sense the geographical location of the user, wherein the computing device to be connected to a network, which includes a social network that at least allows a plurality of people to enter materials and allows them to access the entered materials, and wherein the plurality of instructions, when executed by the computing device, further result in the computing device changing at least another portion of the content of the electronic book to be presented via the display, in view of the social network. 3. The non-transitory computer readable storage medium as recited in claim 1 , wherein the plurality of instructions, when executed by the computing device, further result in the computing device retrieving a piece of demographic information of the user to change at least yet another portion of the content of the electronic book to be presented via the display. | 0.5 |
7,489,819 | 1 | 6 | 1. A method for recognizing handwriting on a paper form using a digital pen, the method comprising: accessing a stroke collection file comprising data corresponding to a set of pen strokes marked by a user on the paper form using the digital pen; associating a field on the paper form with a predetermined lexical inference type; determining a subset of pen strokes in the stroke collection file corresponding to the field, wherein determining comprises: associating the field with an area on the paper form corresponding to a first set of coordinates; accessing a second set of coordinates corresponding to a particular stroke from the stroke collection file; and comparing the second set of coordinates to the first set of coordinates to determine whether the particular stroke was written within the area associated with the field; based on the lexical inference type, dynamically updating an inference lexicon associated with the field; and performing handwriting recognition on the subset of pen strokes based on the dynamically updated inference lexicon. | 1. A method for recognizing handwriting on a paper form using a digital pen, the method comprising: accessing a stroke collection file comprising data corresponding to a set of pen strokes marked by a user on the paper form using the digital pen; associating a field on the paper form with a predetermined lexical inference type; determining a subset of pen strokes in the stroke collection file corresponding to the field, wherein determining comprises: associating the field with an area on the paper form corresponding to a first set of coordinates; accessing a second set of coordinates corresponding to a particular stroke from the stroke collection file; and comparing the second set of coordinates to the first set of coordinates to determine whether the particular stroke was written within the area associated with the field; based on the lexical inference type, dynamically updating an inference lexicon associated with the field; and performing handwriting recognition on the subset of pen strokes based on the dynamically updated inference lexicon. 6. The method of claim 1 , wherein the lexical inference type comprises a word stem level, and wherein dynamically updating the inference lexicon associated with the field comprises: recognizing one or more of the strokes in the subset as a word stem in a predetermined stem list; and based on the recognized word stem, modifying valid lexical entries in the inference lexicon. | 0.544686 |
10,089,383 | 15 | 19 | 15. A processor readable non-transitory storage media that includes instructions for managing data, wherein execution of the instructions by one or more hardware processors performs actions, comprising: instantiating an attributes engine to perform further actions, including: analyzing one or more characteristics of one or more model object features of a plurality of model objects; classifying the one or more model object features based on the one or more characteristics, wherein the one or more characteristics include a data type and one or more values of the one or more model object features; and associating one or more similarity tasks with the one or more model object features based on their classification; and instantiating a similarity engine to perform further actions, including: providing a similarity model that includes the one or more similarity tasks; employing the similarity model to provide one or more candidate similarity scores based on one or more exemplar model objects that are labeled as being similar, wherein the one or more exemplar model objects are provided by a similarity client application; modifying the similarity model based on the one or more exemplar model objects and the one or more candidate similarity scores; employing the modified similarity model to provide similarity scores for one or more model objects, wherein providing the similarity scores is based on execution of the one or more similarity tasks that are associated with the one or more model object features of the one or more model objects; and identifying two or more similar model objects based on the similarity scores for visual presentation in a display to a user, wherein one or more features of the visual presentation are modified based on geo-location information of the user provided by a global positioning system (GPS) device, and wherein the one or more modified features include one or more of a time zone, language, currency, or calendar format. | 15. A processor readable non-transitory storage media that includes instructions for managing data, wherein execution of the instructions by one or more hardware processors performs actions, comprising: instantiating an attributes engine to perform further actions, including: analyzing one or more characteristics of one or more model object features of a plurality of model objects; classifying the one or more model object features based on the one or more characteristics, wherein the one or more characteristics include a data type and one or more values of the one or more model object features; and associating one or more similarity tasks with the one or more model object features based on their classification; and instantiating a similarity engine to perform further actions, including: providing a similarity model that includes the one or more similarity tasks; employing the similarity model to provide one or more candidate similarity scores based on one or more exemplar model objects that are labeled as being similar, wherein the one or more exemplar model objects are provided by a similarity client application; modifying the similarity model based on the one or more exemplar model objects and the one or more candidate similarity scores; employing the modified similarity model to provide similarity scores for one or more model objects, wherein providing the similarity scores is based on execution of the one or more similarity tasks that are associated with the one or more model object features of the one or more model objects; and identifying two or more similar model objects based on the similarity scores for visual presentation in a display to a user, wherein one or more features of the visual presentation are modified based on geo-location information of the user provided by a global positioning system (GPS) device, and wherein the one or more modified features include one or more of a time zone, language, currency, or calendar format. 19. The media of claim 15 , wherein classifying the one or more model object features, further comprises, including classification of the one or more model object features as one or more of singled valued, set valued, vector valued, or sequence valued. | 0.771325 |
9,183,194 | 1 | 3 | 1. A method comprising: identifying a first term in a document structure instance that matches a first permissible term in a glossary; identifying a second term in the document structure instance that matches a second permissible term in the glossary; determining whether the document structure instance establishes an interaction between the first term and the second term; and generating, with a processor, a relationship map comprising: a first object that represents the first term; a second object that represents the second term; and an interaction object that represents whether the instance establishes the interaction between the first term and the second term from the same document structure instance. | 1. A method comprising: identifying a first term in a document structure instance that matches a first permissible term in a glossary; identifying a second term in the document structure instance that matches a second permissible term in the glossary; determining whether the document structure instance establishes an interaction between the first term and the second term; and generating, with a processor, a relationship map comprising: a first object that represents the first term; a second object that represents the second term; and an interaction object that represents whether the instance establishes the interaction between the first term and the second term from the same document structure instance. 3. The method of claim 1 , where the first object comprises a row corresponding to the first permissible term; where the second object comprises a column corresponding to the second permissible term; and where the interaction object comprises an intersection cell representing an intersection between the row and the column. | 0.5 |
7,617,199 | 24 | 25 | 24. A computer readable storage device storing a software program to cause a computing device to: determine a user context based on a tunable parameter; determine a first aspect of the user context and a second aspect of the user context, wherein the first aspect of the user context includes data indicative of text being accessed by a user, and the second aspect of the user context includes data indicative of at least one user task from a plurality of user tasks, wherein the at least one user task is determined based upon the user context of the user's interaction with one or more software applications, formulate a search query based on the user context, the search query being different than the user context; submit the search query to a search engine; receive one or more search results from the search engine; compare data indicative of the one or more search results to data indicative of the user context to determine a spam score, the spam score based on at least one of: a character length of a longest matching substring and a word length of the longest matching substring, wherein the longest matching substring appears in the search result and the search query; characterize the one or more search results as non-spam based upon comparing the spam score to a threshold; and display the one or more search results characterized as non-spam on a client device. | 24. A computer readable storage device storing a software program to cause a computing device to: determine a user context based on a tunable parameter; determine a first aspect of the user context and a second aspect of the user context, wherein the first aspect of the user context includes data indicative of text being accessed by a user, and the second aspect of the user context includes data indicative of at least one user task from a plurality of user tasks, wherein the at least one user task is determined based upon the user context of the user's interaction with one or more software applications, formulate a search query based on the user context, the search query being different than the user context; submit the search query to a search engine; receive one or more search results from the search engine; compare data indicative of the one or more search results to data indicative of the user context to determine a spam score, the spam score based on at least one of: a character length of a longest matching substring and a word length of the longest matching substring, wherein the longest matching substring appears in the search result and the search query; characterize the one or more search results as non-spam based upon comparing the spam score to a threshold; and display the one or more search results characterized as non-spam on a client device. 25. The computer readable storage device of claim 24 , wherein the threshold is a tunable threshold. | 0.899194 |
8,408,914 | 19 | 20 | 19. The method according to claim 14 , which further comprises selecting the Chinese radicals from one of modern Chinese radicals and traditional Chinese radicals. | 19. The method according to claim 14 , which further comprises selecting the Chinese radicals from one of modern Chinese radicals and traditional Chinese radicals. 20. The method according to claim 19 , which further comprises forming a four-part matrix for each of the Chinese radicals, each of the four parts corresponding to one of the source and the three variations. | 0.5 |
9,390,135 | 15 | 20 | 15. A method for processing a data stream of events, the method comprising: determining that multiple portions of a continuous event processing (CEP) query can be executed concurrently relative to an event in an event stream, the determining comprising: splitting the CEP query into a plurality of separate operators; determining a separate ordering constraint for each particular operator within the plurality of separate operators; determining an ordering constraint for the CEP query based at least in part on the ordering constraints that the processor determined for the plurality of separate operators; and determining, based on the ordering constraint for the CEP query, whether the multiple portions of the CEP query can be executed in a concurrent manner; and executing the multiple portions of the CEP query concurrently against a first event received via the event stream, the executing comprising: spawning multiple threads of execution that concurrently process the multiple portions of the CEP query against the first event received via the event stream in response to determining that the multiple portions of the CEP query can be executed in a concurrent manner. | 15. A method for processing a data stream of events, the method comprising: determining that multiple portions of a continuous event processing (CEP) query can be executed concurrently relative to an event in an event stream, the determining comprising: splitting the CEP query into a plurality of separate operators; determining a separate ordering constraint for each particular operator within the plurality of separate operators; determining an ordering constraint for the CEP query based at least in part on the ordering constraints that the processor determined for the plurality of separate operators; and determining, based on the ordering constraint for the CEP query, whether the multiple portions of the CEP query can be executed in a concurrent manner; and executing the multiple portions of the CEP query concurrently against a first event received via the event stream, the executing comprising: spawning multiple threads of execution that concurrently process the multiple portions of the CEP query against the first event received via the event stream in response to determining that the multiple portions of the CEP query can be executed in a concurrent manner. 20. The method of claim 15 , further comprising: merging, into a single shared operator, (a) a first operator that is used by a first CEP query that processes events in the event stream, and (b) a second operator that is used by a second CEP query that also processes events in the event stream, in response to determining that the first operator and the second operator both perform a particular type of operation; wherein determining the separate ordering constraint for each particular operator within the plurality of separate operators comprises determining the ordering constraint for a third operator, which receives input from the shared operator, based at least in part on the ordering constraint of the shared operator; wherein determining the separate ordering constraint for each particular operator within the plurality of separate operators comprises determining the ordering constraint for a fourth operator, which receives input from the shared operator, based at least in part on the ordering constraint of the shared operator; wherein the third operator is used by the first CEP query and is not used by the second CEP query; wherein the fourth operator is used by the second CEP query and is not used by the first CEP query. | 0.5 |
9,418,331 | 12 | 14 | 12. An apparatus, comprising: at least one processor configured to identify a first network comprising one or more indexed classes of artificial neurons and determine one or more tags for the one or more indexed classes of artificial neurons regardless of their indexing, wherein the at least one processor is configured to determine the one or more tags for the one or more indexed classes of artificial neurons by: augmenting the first network with a second network comprising one or more artificial neurons, wherein each neuron in the second network corresponds to a tag; connecting each of the one or more indexed classes of artificial neurons to all the neurons in the second network with one or more plastic connections; and providing supervisory bias signals to the one or more indexed classes of artificial neurons via the plastic connections, such that the supervisory signal imposes a desired mapping between classes and output layer neurons; and a memory coupled with the at least one processor. | 12. An apparatus, comprising: at least one processor configured to identify a first network comprising one or more indexed classes of artificial neurons and determine one or more tags for the one or more indexed classes of artificial neurons regardless of their indexing, wherein the at least one processor is configured to determine the one or more tags for the one or more indexed classes of artificial neurons by: augmenting the first network with a second network comprising one or more artificial neurons, wherein each neuron in the second network corresponds to a tag; connecting each of the one or more indexed classes of artificial neurons to all the neurons in the second network with one or more plastic connections; and providing supervisory bias signals to the one or more indexed classes of artificial neurons via the plastic connections, such that the supervisory signal imposes a desired mapping between classes and output layer neurons; and a memory coupled with the at least one processor. 14. The apparatus of claim 12 , wherein the at least one processor is configured to determine the one or more indexed classes of artificial neurons using an unsupervised learning algorithm. | 0.6625 |
8,335,755 | 1 | 6 | 1. A computer including a reasoning system configured to drive computational experiments, the system comprising: at least one atomic context having an abstract data type and comprising: a reference to at least one mathematical model that defines a computational experiment and that computes answers to the computational experiment, wherein the mathematical model is located externally to the atomic context and is capable of computing answers to the computational experiment without being associated with the atomic context; at least one interface to the mathematical model; and at least one method configured to run operations on the mathematical model; wherein the atomic context is configured to drive experiments using the mathematical model at least partially by providing inputs to the mathematical model, changing input values to the mathematical model, and iteratively instructing the mathematical model to run a computational experiment and to return at least one output of the computational experiment and wherein the atomic context does not alter the mathematical model; and a plurality of derivation methods, each derivation method configured to receive at least one reference to a base context and to create a derived context at least partially based on the base context, the derived context having the same abstract data type as an atomic context and being configured to: cause the performance of at least one computation at least partially by invoking the base context and providing at least one input to the base context; receive at least one output from the base context; perform at least one transformation on at least one input to or on at least one output from the base context; and return at least one output of the computation. | 1. A computer including a reasoning system configured to drive computational experiments, the system comprising: at least one atomic context having an abstract data type and comprising: a reference to at least one mathematical model that defines a computational experiment and that computes answers to the computational experiment, wherein the mathematical model is located externally to the atomic context and is capable of computing answers to the computational experiment without being associated with the atomic context; at least one interface to the mathematical model; and at least one method configured to run operations on the mathematical model; wherein the atomic context is configured to drive experiments using the mathematical model at least partially by providing inputs to the mathematical model, changing input values to the mathematical model, and iteratively instructing the mathematical model to run a computational experiment and to return at least one output of the computational experiment and wherein the atomic context does not alter the mathematical model; and a plurality of derivation methods, each derivation method configured to receive at least one reference to a base context and to create a derived context at least partially based on the base context, the derived context having the same abstract data type as an atomic context and being configured to: cause the performance of at least one computation at least partially by invoking the base context and providing at least one input to the base context; receive at least one output from the base context; perform at least one transformation on at least one input to or on at least one output from the base context; and return at least one output of the computation. 6. The reasoning system of claim 1 , wherein at least one of the derivation methods comprises a compose derivation method that receives at least a first reference to a first base context and a second reference to a second base context and creates a derived context configured to invoke the first base context, to receive output from the first base context, to invoke the second base context, and to provide as input to the second base context the output of the first base context. | 0.607843 |
8,095,594 | 5 | 9 | 5. The system set forth in claim 4 wherein: the interface further permits the collaborator to modify the further information. | 5. The system set forth in claim 4 wherein: the interface further permits the collaborator to modify the further information. 9. The system set forth in claim 5 wherein: the further information is a reminder generated by the system for the collaborator. | 0.587662 |
9,575,730 | 1 | 2 | 1. A non-transitory computer-readable recording medium having stored therein a template generating program for causing a computer to execute a process comprising: specifying common script portions and non-common script portions by comparing two templates for each of a plurality of categories, each of the two templates including scripts related to components constituting a system, the plurality of categories being grouped by similarity of kind of the components; generating a plurality of versatile scripts for the plurality of categories, respectively, each of the plurality of versatile scripts including the specified common script portions and an item indicating a description variant in a portion corresponding to the non-common script portions; and specifying, with respect to the items indicating the description variant, a setting detail data item that occurs most frequently as a default; generating a template for a new system combining, for a component identical to a component in the existing system, the script for the identical component in the existing system and, for a new component, the versatile script of a similar category including the specified setting detail data item as the default. | 1. A non-transitory computer-readable recording medium having stored therein a template generating program for causing a computer to execute a process comprising: specifying common script portions and non-common script portions by comparing two templates for each of a plurality of categories, each of the two templates including scripts related to components constituting a system, the plurality of categories being grouped by similarity of kind of the components; generating a plurality of versatile scripts for the plurality of categories, respectively, each of the plurality of versatile scripts including the specified common script portions and an item indicating a description variant in a portion corresponding to the non-common script portions; and specifying, with respect to the items indicating the description variant, a setting detail data item that occurs most frequently as a default; generating a template for a new system combining, for a component identical to a component in the existing system, the script for the identical component in the existing system and, for a new component, the versatile script of a similar category including the specified setting detail data item as the default. 2. The non-transitory computer-readable recording medium according to claim 1 , the process further comprising causing a storage module to store therein control information that controls, in a tree structure, the versatile script and the script for the existing system for components of each similar category; and calculating, for each of existing systems, a cost of changing a script for the existing system to a script for a new system on a basis of the tree structure specified by the control information, wherein the generating the template generates the template by finding an existing system estimated to cost less at the calculating and using, for a component identical to a component in the existing system, the script for the identical component in the existing system and, for any new component, the versatile script generalized from a component of a similar category in the existing system and the new component. | 0.510604 |
7,574,744 | 1 | 2 | 1. A system for duplicating documents of disparate types for facilitating searching of such documents, said system comprising: storage means for storing at least one original file, each containing no more than one original document, said original file being in a first format; processing means for determining that said original document is a component document of a compound document, extracting said component document from said compound document and storing said component document in said original file; and conversion means for converting said original file from said first format to a canonical format thereby generating a duplicate file containing a duplicate document of said original document, whereby searching of such documents is facilitated. | 1. A system for duplicating documents of disparate types for facilitating searching of such documents, said system comprising: storage means for storing at least one original file, each containing no more than one original document, said original file being in a first format; processing means for determining that said original document is a component document of a compound document, extracting said component document from said compound document and storing said component document in said original file; and conversion means for converting said original file from said first format to a canonical format thereby generating a duplicate file containing a duplicate document of said original document, whereby searching of such documents is facilitated. 2. The system of claim 1 , wherein said storage means has a directory structure, said component document being stored in said storage means under a directory associated with said compound document. | 0.656794 |
4,686,649 | 23 | 25 | 23. The apparatus of claim 22 wherein S is the maximum number of characters per line of text and T is the maximum number of lines per page of a document. | 23. The apparatus of claim 22 wherein S is the maximum number of characters per line of text and T is the maximum number of lines per page of a document. 25. The apparatus of claim 23 in which said page refresh writing means writes a single bit of said page refresh RAM for each text character. | 0.631579 |
7,543,237 | 32 | 36 | 32. A method for creating a dynamic collaboration environment between users of a plurality of terminals and a server, the method comprising: generating a collaborative gateway graphical user interface on a terminal, wherein the collaborative gateway graphical user interface includes a display of at least one collaboration application including at least one of a plurality of collaboration options; monitoring an activity on the terminal to recognize a new, or unscanned, or unparsed, document as an active document; scanning the active document on the terminal in response to recognition of the new or unscanned or unparsed document as the active document to identify a document content of the active document; retrieving a user profile associated with a terminal user from the server, wherein the user profile is at least partially defined by the terminal user and contains at least one relevant context; detecting a contextual pattern match at the terminal between the document content of the active document and the at least one relevant context of the user profile; generating a context message at the terminal for receipt by a collaboration assistant application resident on the server in response to the detected contextual pattern match, wherein the context message includes a detected context indication and a user identity of the terminal user; receiving a new context notification at the terminal transmitted by the collaboration assistant application in response to the context message; and adjusting the display at the terminal of the at least one of the collaboration options in the collaborative gateway graphical user interface based on the new context notification. | 32. A method for creating a dynamic collaboration environment between users of a plurality of terminals and a server, the method comprising: generating a collaborative gateway graphical user interface on a terminal, wherein the collaborative gateway graphical user interface includes a display of at least one collaboration application including at least one of a plurality of collaboration options; monitoring an activity on the terminal to recognize a new, or unscanned, or unparsed, document as an active document; scanning the active document on the terminal in response to recognition of the new or unscanned or unparsed document as the active document to identify a document content of the active document; retrieving a user profile associated with a terminal user from the server, wherein the user profile is at least partially defined by the terminal user and contains at least one relevant context; detecting a contextual pattern match at the terminal between the document content of the active document and the at least one relevant context of the user profile; generating a context message at the terminal for receipt by a collaboration assistant application resident on the server in response to the detected contextual pattern match, wherein the context message includes a detected context indication and a user identity of the terminal user; receiving a new context notification at the terminal transmitted by the collaboration assistant application in response to the context message; and adjusting the display at the terminal of the at least one of the collaboration options in the collaborative gateway graphical user interface based on the new context notification. 36. The method of claim 32 , further comprising: generating, at the server, generate the new context notification that is transmittable to the terminal. | 0.839323 |
8,891,874 | 1 | 2 | 1. A method comprising using a computer to analyze legibility of multi-line text in an electronic document, wherein only three ratios are analyzed: a first ratio of character width and tracking between letters in the text; a second ratio of leading between lines of the text and average length of the lines; and a third ratio of visual luminance contrast between letters in the text and text background, the ratios analyzed independently of one another, each ratio compared to preset upper and lower legibility limits; wherein the lower and upper limits for the first ratio are 0.025:1 and 1:1. | 1. A method comprising using a computer to analyze legibility of multi-line text in an electronic document, wherein only three ratios are analyzed: a first ratio of character width and tracking between letters in the text; a second ratio of leading between lines of the text and average length of the lines; and a third ratio of visual luminance contrast between letters in the text and text background, the ratios analyzed independently of one another, each ratio compared to preset upper and lower legibility limits; wherein the lower and upper limits for the first ratio are 0.025:1 and 1:1. 2. The method of claim 1 , further comprising using the computer to offer suggestions for improving the legibility. | 0.577206 |
8,930,301 | 1 | 14 | 1. A method comprising: accessing a user-editable configuration file accessible to an operator of a response prediction system, the user-editable configuration file including a user specification of data accessible via external data sources, user-specified data encoding rules specifying specific portions of the data to be encoded into specific portions of one or more feature vectors, and user-specified assembly rules, the data including member data associated with a particular member and content data associated with a particular content item; encoding, using a plurality of source modules, the data accessible via the external data sources into the feature vectors, based on the user-specified data encoding rules; assembling, using an assembler module, one or more of the feature vectors into an assembled feature vector, based on the user-specified assembly rules included in the user-editable configuration file; determining that a particular one of the feature vectors is not available from a particular one of the source modules; in response to determining that the particular one of the feature vectors is not available, ignoring the particular feature vector based on a user-specified importance value associated with the particular feature vector; inserting a user-specified substitute value associated with the particular feature vector into a portion of the assembled feature vector associated with the particular feature vector; and performing, using a prediction module, a prediction modeling process based on the assembled feature vector and a prediction model, to predict a likelihood of the particular member performing a particular user action on the particular content item. | 1. A method comprising: accessing a user-editable configuration file accessible to an operator of a response prediction system, the user-editable configuration file including a user specification of data accessible via external data sources, user-specified data encoding rules specifying specific portions of the data to be encoded into specific portions of one or more feature vectors, and user-specified assembly rules, the data including member data associated with a particular member and content data associated with a particular content item; encoding, using a plurality of source modules, the data accessible via the external data sources into the feature vectors, based on the user-specified data encoding rules; assembling, using an assembler module, one or more of the feature vectors into an assembled feature vector, based on the user-specified assembly rules included in the user-editable configuration file; determining that a particular one of the feature vectors is not available from a particular one of the source modules; in response to determining that the particular one of the feature vectors is not available, ignoring the particular feature vector based on a user-specified importance value associated with the particular feature vector; inserting a user-specified substitute value associated with the particular feature vector into a portion of the assembled feature vector associated with the particular feature vector; and performing, using a prediction module, a prediction modeling process based on the assembled feature vector and a prediction model, to predict a likelihood of the particular member performing a particular user action on the particular content item. 14. The method of claim 1 , wherein the content item is included in a content feed, and wherein the user action is any one of a like response, a comment response, a share response, a rating response, a click response, a non-click response, and a hover response. | 0.774221 |
8,424,102 | 16 | 17 | 16. A non-transitory machine-readable medium, encoding instructions that, when performed by one or more data processing apparatus, cause the one or more data processing apparatus to perform operations comprising: receiving, by a server of a document control system from a client system, the server comprising at least one processor and at least one memory device, a request to open an electronic document tethered to the document control system, wherein the document control system provides persistent document security for documents tethered to the document control system; in response to the request to open the electronic document, presenting a page of the electronic document to the client system; determining that the electronic document is being scrolled to a new page or that the page of the electronic document has been presented to the client system for more than a set amount of time; in response to the determination, presenting to the client system a consent query that requests consent to be audited for viewing the electronic document, wherein the consent is to be recorded by the document control system for the electronic document; receiving in response to the presented consent query, a consent indication with respect to a consent statement relating to being audited for viewing the electronic document; and sending information corresponding to the consent indication to the document control system, the consent indication information configured to be included with actions-taken information relating to the electronic document. | 16. A non-transitory machine-readable medium, encoding instructions that, when performed by one or more data processing apparatus, cause the one or more data processing apparatus to perform operations comprising: receiving, by a server of a document control system from a client system, the server comprising at least one processor and at least one memory device, a request to open an electronic document tethered to the document control system, wherein the document control system provides persistent document security for documents tethered to the document control system; in response to the request to open the electronic document, presenting a page of the electronic document to the client system; determining that the electronic document is being scrolled to a new page or that the page of the electronic document has been presented to the client system for more than a set amount of time; in response to the determination, presenting to the client system a consent query that requests consent to be audited for viewing the electronic document, wherein the consent is to be recorded by the document control system for the electronic document; receiving in response to the presented consent query, a consent indication with respect to a consent statement relating to being audited for viewing the electronic document; and sending information corresponding to the consent indication to the document control system, the consent indication information configured to be included with actions-taken information relating to the electronic document. 17. The non-transitory machine-readable medium of claim 16 , wherein the operations further comprise: in response to the request to open the electronic document and prior to said presenting the page of the electronic document to the client system, presenting to the client system a warning indicating that consent to be audited for viewing the opened electronic document is required. | 0.5 |
7,831,437 | 30 | 47 | 30. A system for generating an outline for managing a legal proceeding, comprising: at least one database storing an outline library, the outline library comprising a plurality of categorization entries; and a terminal device that is operatively coupled to the at least one database via a communication link; wherein the terminal device is configured to: display, via a display device associated with the terminal device, one or more queries relating to a legal proceeding; and display, via the display device, an outline generated based in part on information received in response to the one or more queries, wherein the outline includes one or more of the plurality of categorization entries from the outline library relevant to the legal proceeding. | 30. A system for generating an outline for managing a legal proceeding, comprising: at least one database storing an outline library, the outline library comprising a plurality of categorization entries; and a terminal device that is operatively coupled to the at least one database via a communication link; wherein the terminal device is configured to: display, via a display device associated with the terminal device, one or more queries relating to a legal proceeding; and display, via the display device, an outline generated based in part on information received in response to the one or more queries, wherein the outline includes one or more of the plurality of categorization entries from the outline library relevant to the legal proceeding. 47. The system of claim 30 , wherein each categorization entry in the outline further includes a hierarchical framework of information groupings including a case evidence grouping, the case evidence grouping including an interrogatory pointer structure corresponding to a stored set of served interrogatories and responses thereto. | 0.535112 |
7,877,458 | 1 | 3 | 1. A method of storing a scanned document, comprising the steps of: transmitting user identification information from a image processing device to a computer remote from the image processing device; retrieving, by the computer, menu information indicating at least one available network storage apparatus based on the received user identification information; displaying said menu information on a display of said image processing device; generating, at the image processing device, image data corresponding to an image scanned at the image processing device; receiving, at the image processing device, a request to store the image data and a document type corresponding to the image data; transmitting the image data, the document type and the request from the image processing device to the computer remote from the image processing device, the computer connected to the image processing device via a first network; automatically selecting, at the computer, a storage location to store the image data based on the document type by consulting a table identifying a document type corresponding to each of a plurality of storage locations; transferring the image data from the computer to the selected storage location via a second network; and storing the image data at the selected storage location. | 1. A method of storing a scanned document, comprising the steps of: transmitting user identification information from a image processing device to a computer remote from the image processing device; retrieving, by the computer, menu information indicating at least one available network storage apparatus based on the received user identification information; displaying said menu information on a display of said image processing device; generating, at the image processing device, image data corresponding to an image scanned at the image processing device; receiving, at the image processing device, a request to store the image data and a document type corresponding to the image data; transmitting the image data, the document type and the request from the image processing device to the computer remote from the image processing device, the computer connected to the image processing device via a first network; automatically selecting, at the computer, a storage location to store the image data based on the document type by consulting a table identifying a document type corresponding to each of a plurality of storage locations; transferring the image data from the computer to the selected storage location via a second network; and storing the image data at the selected storage location. 3. The method of claim 1 , wherein: the image processing device includes at least one of a digital copier, a modem unit, and a printer unit. | 0.796512 |
9,063,970 | 9 | 11 | 9. A system, for assigning a score for ranking a record, given the record and a query, comprising: a sub-system configured, as a result of its computing hardware and programmable memory, to accomplish identifying a first query term, of the query; a sub-system configured, as a result of its computing hardware and programmable memory, to accomplish identifying a first pinnacle concept property of the first query term; a sub-system configured, as a result of its computing hardware and programmable memory, to accomplish identifying a first set of occurrences of the first query term in the record; a sub-system configured, as a result of its computing hardware and programmable memory, to accomplish identifying a first set of sub-units of the record, wherein each sub-unit contains a member of the first set of occurrences; a sub-system configured, as a result of its computing hardware and programmable memory, to accomplish determining, for a first sub-unit of the first set of sub-units, whether a first concept, referenced by the first sub-unit, is a pinnacle concept, and identification of the first concept as a pinnacle concept indicates that the first concept is not a plains concept; a sub-system configured, as a result of its computing hardware and programmable memory, to accomplish assigning a set of pinnacle concepts to each member of the first set of sub-units, wherein a pinnacle concept is a member, of a set of pinnacle concepts, if the pinnacle concept is asserted by the sub-unit, of the first set of sub-units, to which it is assigned; a sub system configured to accomplish determining, of whether the first pinnacle concept property specifies a first pinnacle concept: a sub system configured to accomplish assigning, if the first pinnacle concept is specified, of a first score to the first query term that is larger when the first pinnacle concept is a member of a set of pinnacle concepts of the first set of sub-units than when the first pinnacle concept is not a member of a set of pinnacle concepts of the first set of sub-units; a sub system configured to accomplish assigning, if the first pinnacle concept is not specified, of a first score to the first query term that is larger when the first set of sub-units is not empty than when the first set of sub-units is empty; a sub-system configured, as a result of its computing hardware and programmable memory, to accomplish assigning a first score to the first query term as a function of the first pinnacle concept property and first set of sub-units; and a sub-system configured, as a result of its computing hardware and programmable memory, to accomplish assigning a score, for ranking the record, as a function of the first score. | 9. A system, for assigning a score for ranking a record, given the record and a query, comprising: a sub-system configured, as a result of its computing hardware and programmable memory, to accomplish identifying a first query term, of the query; a sub-system configured, as a result of its computing hardware and programmable memory, to accomplish identifying a first pinnacle concept property of the first query term; a sub-system configured, as a result of its computing hardware and programmable memory, to accomplish identifying a first set of occurrences of the first query term in the record; a sub-system configured, as a result of its computing hardware and programmable memory, to accomplish identifying a first set of sub-units of the record, wherein each sub-unit contains a member of the first set of occurrences; a sub-system configured, as a result of its computing hardware and programmable memory, to accomplish determining, for a first sub-unit of the first set of sub-units, whether a first concept, referenced by the first sub-unit, is a pinnacle concept, and identification of the first concept as a pinnacle concept indicates that the first concept is not a plains concept; a sub-system configured, as a result of its computing hardware and programmable memory, to accomplish assigning a set of pinnacle concepts to each member of the first set of sub-units, wherein a pinnacle concept is a member, of a set of pinnacle concepts, if the pinnacle concept is asserted by the sub-unit, of the first set of sub-units, to which it is assigned; a sub system configured to accomplish determining, of whether the first pinnacle concept property specifies a first pinnacle concept: a sub system configured to accomplish assigning, if the first pinnacle concept is specified, of a first score to the first query term that is larger when the first pinnacle concept is a member of a set of pinnacle concepts of the first set of sub-units than when the first pinnacle concept is not a member of a set of pinnacle concepts of the first set of sub-units; a sub system configured to accomplish assigning, if the first pinnacle concept is not specified, of a first score to the first query term that is larger when the first set of sub-units is not empty than when the first set of sub-units is empty; a sub-system configured, as a result of its computing hardware and programmable memory, to accomplish assigning a first score to the first query term as a function of the first pinnacle concept property and first set of sub-units; and a sub-system configured, as a result of its computing hardware and programmable memory, to accomplish assigning a score, for ranking the record, as a function of the first score. 11. The system of claim 9 , further comprising: a sub system configured to accomplish identifying, of a second query term of the query; a sub system configured to accomplish identifying, of a second pinnacle concept property of the second query term; a sub system configured to accomplish identifying, of a second set of occurrences of the first query term in the record; a sub system configured to accomplish identifying, of a second set of sub-units of the record, wherein each sub-unit contains a member of the second set of occurrences; a sub system configured to accomplish assigning, of a set of pinnacle concepts to each member of the second set of sub-units, wherein a pinnacle concept is a member, of a set of pinnacle concepts, if the pinnacle concept is asserted by the sub-unit, of the second set of sub-units, to which it is assigned; a sub system configured to accomplish assigning, of a second score to the second query term as a function of the second pinnacle concept property and second set of sub-units; and a sub system configured to accomplish assigning a score, for ranking the record, as a function of the first and second scores. | 0.5 |
9,069,814 | 15 | 17 | 15. A method for retrieving answer information from a natural language (NL) query answering system, the method comprising: prompting, in a user interface application generated according to an NL query having first query parameters, using one or more computing devices, a user to provide second query parameters regarding a second query, the second query related to the NL query, and the second query parameters different than the first query parameters; determining one or more respective values of one or more variables using the received second query parameters; and generating a computer-generated query that is based on the NL query, wherein the computer-generated query is generated to include the one or more respective values of the one or more variables; providing the computer-generated query to the NL query answering system; receiving, from the NL query answering system, answer information responsive to the computer-generated query; and causing a display device to display the answer information. | 15. A method for retrieving answer information from a natural language (NL) query answering system, the method comprising: prompting, in a user interface application generated according to an NL query having first query parameters, using one or more computing devices, a user to provide second query parameters regarding a second query, the second query related to the NL query, and the second query parameters different than the first query parameters; determining one or more respective values of one or more variables using the received second query parameters; and generating a computer-generated query that is based on the NL query, wherein the computer-generated query is generated to include the one or more respective values of the one or more variables; providing the computer-generated query to the NL query answering system; receiving, from the NL query answering system, answer information responsive to the computer-generated query; and causing a display device to display the answer information. 17. The method of claim 15 , further comprising: determining types of the answer information that will be displayed in response to receiving the answer information from the NL query answering system, and causing the display device to display the determined types of the answer information received. | 0.642686 |
7,543,026 | 1 | 9 | 1. A method comprising: parsing a domain portion of an e-mail address and an identifier portion of the e-mail address; identifying a format requirement corresponding to the domain portion in a domain name database, wherein the identified format requirement is a function of an addressee's name; determining whether the identifier portion is consistent with the identified format requirement by comparing the identifier portion to a list of known names and utilizing a statistical frequency of the known names to determine a score relating to whether the identifier portion is consistent with one or more known names under the identified format requirement; providing an indication of whether the identifier portion is consistent with the identified format requirement; and providing a format suggestion based on the identified format. | 1. A method comprising: parsing a domain portion of an e-mail address and an identifier portion of the e-mail address; identifying a format requirement corresponding to the domain portion in a domain name database, wherein the identified format requirement is a function of an addressee's name; determining whether the identifier portion is consistent with the identified format requirement by comparing the identifier portion to a list of known names and utilizing a statistical frequency of the known names to determine a score relating to whether the identifier portion is consistent with one or more known names under the identified format requirement; providing an indication of whether the identifier portion is consistent with the identified format requirement; and providing a format suggestion based on the identified format. 9. The method of claim 1 further comprising: determining whether the domain portion complies with domain formulation rules; and providing an indication whether the domain portion complies with domain formulation rules. | 0.76044 |
7,620,624 | 28 | 30 | 28. A computing device, including one or more processors, according to claim 17 , wherein the computing device is configured to stop combining the first and second posting list when a pre-defined number of results are determined to satisfy the query. | 28. A computing device, including one or more processors, according to claim 17 , wherein the computing device is configured to stop combining the first and second posting list when a pre-defined number of results are determined to satisfy the query. 30. A computing device, including one or more processors, according to claim 28 , wherein the computing device is configured to stop combining the first and second posting list when a pre-defined number of documents satisfy a date range associated with the query. | 0.5 |
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