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6,067,523 | 9 | 10 |
9. A system for reporting behavioral health care and status of a patient comprising: a computer having resident therein a database comprising: at least one patient electronic chart including: patient demographic information; an answer to a behavioral health assessment question administered to the patient; at least one narrative note format, the narrative note format comprising: fixed text material; and link indicators interspersed within the text material having means for pointing to specific data in the chart database, at least one link indicator related to patient demographic information and at least one link indicator related to the assessment answer; input means for displaying a list of narrative note formats in the database and for selecting a narrative note format therefrom; software means for integrating the narrative note format with the patient chart data pointed to by the link indicators; and means for outputting a report comprising a narrative-style text including information specific to the patient from the patient chart.
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9. A system for reporting behavioral health care and status of a patient comprising: a computer having resident therein a database comprising: at least one patient electronic chart including: patient demographic information; an answer to a behavioral health assessment question administered to the patient; at least one narrative note format, the narrative note format comprising: fixed text material; and link indicators interspersed within the text material having means for pointing to specific data in the chart database, at least one link indicator related to patient demographic information and at least one link indicator related to the assessment answer; input means for displaying a list of narrative note formats in the database and for selecting a narrative note format therefrom; software means for integrating the narrative note format with the patient chart data pointed to by the link indicators; and means for outputting a report comprising a narrative-style text including information specific to the patient from the patient chart. 10. The system recited in claim 9, wherein: the answer comprises a plurality of numerically scaled answers; the narrative note format further includes a calculation indicator having a plurality of link indicators to, and a formula for, directing an arithmetic operation on at least two numerically scaled answers; and the integrating means further comprises means for utilizing the formula to perform the arithmetic operation on the indicated numerically scaled answers for including a result therefrom in the report.
| 0.5 |
6,026,361 | 1 | 2 |
1. A speech intelligibility testing system, comprising: a sound device for producing a plurality of stimulus words to be heard by a test subject, each of said plurality of stimulus words comprising a plurality of speech sounds; a display means, configured to display to said test subject a set of selectable word pairs corresponding to a set of contrasting speech sounds whenever a stimulus word is provided to said test subject, each of said words comprising a real word with a high degree of familiarity, a first word of said word pair corresponding to said stimulus word and a second word of said word pair differing from said first word by at least one of said set of contrasting speech sounds; and means for said test subject to select one word of said word pair upon deciding which one of said two words was heard.
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1. A speech intelligibility testing system, comprising: a sound device for producing a plurality of stimulus words to be heard by a test subject, each of said plurality of stimulus words comprising a plurality of speech sounds; a display means, configured to display to said test subject a set of selectable word pairs corresponding to a set of contrasting speech sounds whenever a stimulus word is provided to said test subject, each of said words comprising a real word with a high degree of familiarity, a first word of said word pair corresponding to said stimulus word and a second word of said word pair differing from said first word by at least one of said set of contrasting speech sounds; and means for said test subject to select one word of said word pair upon deciding which one of said two words was heard. 2. The system of claim 1, wherein said set of response option words has an average word familiarity of not less than 4.00.
| 0.90528 |
9,571,650 | 13 | 21 |
13. A method for providing a responsive communication to a communicant, which method comprises: receiving, by one or more processors, a single electronic voice communication from a communicant; separating the electronic voice communication into at least first constituent data and second constituent data, the first constituent data being generated by the communicant, wherein the separating further comprises: identifying a communication protocol associated with an electronic voice communication; recording the electronic voice communication to a first electronic data file comprising a first and second audio track, the first constituent voice data being automatically recorded on the first audio track based on the identified communication protocol, and the second constituent voice data being automatically recorded on the second audio track based on the identified communication protocol; and separating at least one of the first and second constituent voice data recorded on the corresponding first and second track from the first electronic data file: transcribing the electronic voice communication to text; analyzing, by one or more of the processors, the text of the separated first and second constituent data by mining the separated one of the first and second constituent data of the electronic voice communication and applying a predetermined linguistic-based psychological behavioral model to one of the separated first and second constituent data; generating, by one or more of the processors, behavioral assessment data including a personality type corresponding to the analyzed text of one of the separated first and second constituent data of the electronic voice communication; generating, by one or more of the processors, event data based on the analyzed text of the electronic voice communication; and generating, by one or more of the processors, a responsive communication based on the event data.
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13. A method for providing a responsive communication to a communicant, which method comprises: receiving, by one or more processors, a single electronic voice communication from a communicant; separating the electronic voice communication into at least first constituent data and second constituent data, the first constituent data being generated by the communicant, wherein the separating further comprises: identifying a communication protocol associated with an electronic voice communication; recording the electronic voice communication to a first electronic data file comprising a first and second audio track, the first constituent voice data being automatically recorded on the first audio track based on the identified communication protocol, and the second constituent voice data being automatically recorded on the second audio track based on the identified communication protocol; and separating at least one of the first and second constituent voice data recorded on the corresponding first and second track from the first electronic data file: transcribing the electronic voice communication to text; analyzing, by one or more of the processors, the text of the separated first and second constituent data by mining the separated one of the first and second constituent data of the electronic voice communication and applying a predetermined linguistic-based psychological behavioral model to one of the separated first and second constituent data; generating, by one or more of the processors, behavioral assessment data including a personality type corresponding to the analyzed text of one of the separated first and second constituent data of the electronic voice communication; generating, by one or more of the processors, event data based on the analyzed text of the electronic voice communication; and generating, by one or more of the processors, a responsive communication based on the event data. 21. The method of claim 13 , wherein the responsive communication generated is in voice format responsive to the electronic voice communication.
| 0.743772 |
9,875,304 | 1 | 5 |
1. A method for identifying mood in content, comprising: generating a static visual representation of the content based on frequency data sampled from the content; filtering the static visual representation to capture intensity differences represented in the static visual representation and generating a filtered representation of the content; encoding the filtered representation to create a digitized representation of the content; identifying characteristics within the digitized representation that correspond to a first set of one or more moods among a set of moods; and generating a three-dimensional shape that corresponds to the first set of one or more moods.
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1. A method for identifying mood in content, comprising: generating a static visual representation of the content based on frequency data sampled from the content; filtering the static visual representation to capture intensity differences represented in the static visual representation and generating a filtered representation of the content; encoding the filtered representation to create a digitized representation of the content; identifying characteristics within the digitized representation that correspond to a first set of one or more moods among a set of moods; and generating a three-dimensional shape that corresponds to the first set of one or more moods. 5. The method for identifying mood in content as recited in claim 1 , further comprising: generating a color representation of the content based on the frequency data sampled from the content; identifying predominant colors in the color representation and deleting less predominant colors from the color representation to generate a set of one or more colors representing one or more moods in the content; and associating a second set of one or more moods to the set of one or more colors representing the content.
| 0.5 |
9,779,085 | 8 | 10 |
8. A computer-implemented method for managing natural language processing (NLP) model training, the computer-implemented method comprising: providing an unlabeled corpus of multilingual documents that span a plurality of target languages; training a multilingual embedding on the corpus of multilingual documents as input training data, the multilingual embedding being generalized across the target languages by modifying the input training data and/or transforming multilingual dictionaries into constraints in an underlying optimization problem; training an NLP model on training data for a first language of the target languages, using word embeddings of the trained multilingual embedding as features; and applying the trained NLP model on data from a second of the target languages, the first and second languages being different.
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8. A computer-implemented method for managing natural language processing (NLP) model training, the computer-implemented method comprising: providing an unlabeled corpus of multilingual documents that span a plurality of target languages; training a multilingual embedding on the corpus of multilingual documents as input training data, the multilingual embedding being generalized across the target languages by modifying the input training data and/or transforming multilingual dictionaries into constraints in an underlying optimization problem; training an NLP model on training data for a first language of the target languages, using word embeddings of the trained multilingual embedding as features; and applying the trained NLP model on data from a second of the target languages, the first and second languages being different. 10. The computer-implemented method of claim 8 , the multilingual embedding being generalized across the target languages by transforming multilingual dictionaries into constraints in an underlying optimization problem.
| 0.582061 |
8,543,373 | 1 | 2 |
1. A computer system for managing word usage frequencies, the computer system comprising: one or more processors, one or more computer-readable memories and one or more computer-readable tangible storage devices; program instructions, stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, to receive: an identifier of a location; an identifier of a number of document levels at the location, the document levels comprising at least one document; and an identifier of a minimum number of words; program instructions, stored on the at least one of the one or more storage devices for execution by the at least one of the one or more processors via the at least one of the one or more memories, to determine whether the minimum number of words are present in the at least one document; program instructions, stored on the at least one of the one or more storage devices for execution by the at least one of the one or more processors via the at least one of the one or more memories, responsive to determining that the minimum number of words are present in the at least one document, to analyze all of the at least one document to determine whether the at least one document comprises Latin based words or Sino-Tibetan based words; program instructions, stored on the at least one of the one or more storage devices for execution by the at least one of the one or more processors via the at least one of the one or more memories, responsive to determining that the at least one document comprises the Latin based words, to populate a Latin based word list with unique Latin based words in the at least one document and to determine a frequency of each of the unique Latin based words in the at least one document; program instructions, stored on the at least one of the one or more storage devices for execution by the at least one of the one or more processors via the at least one of the one or more memories, responsive to determining that the at least one document comprises the Sino-Tibetan based words, to populate a Sino-Tibetan based word list with unique Sino-Tibetan based words in the at least one document and to determine a frequency of the unique Sino-Tibetan based words in the at least one document; and program instructions, stored on the at least one of the one or more storage devices for execution by the at least one of the one or more processors via the at least one of the one or more memories, to generate results comprising the unique Latin based words, the frequency of the unique Latin based words, the unique Sino-Tibetan based words, and the frequency of the unique Sino-Tibetan based words.
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1. A computer system for managing word usage frequencies, the computer system comprising: one or more processors, one or more computer-readable memories and one or more computer-readable tangible storage devices; program instructions, stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, to receive: an identifier of a location; an identifier of a number of document levels at the location, the document levels comprising at least one document; and an identifier of a minimum number of words; program instructions, stored on the at least one of the one or more storage devices for execution by the at least one of the one or more processors via the at least one of the one or more memories, to determine whether the minimum number of words are present in the at least one document; program instructions, stored on the at least one of the one or more storage devices for execution by the at least one of the one or more processors via the at least one of the one or more memories, responsive to determining that the minimum number of words are present in the at least one document, to analyze all of the at least one document to determine whether the at least one document comprises Latin based words or Sino-Tibetan based words; program instructions, stored on the at least one of the one or more storage devices for execution by the at least one of the one or more processors via the at least one of the one or more memories, responsive to determining that the at least one document comprises the Latin based words, to populate a Latin based word list with unique Latin based words in the at least one document and to determine a frequency of each of the unique Latin based words in the at least one document; program instructions, stored on the at least one of the one or more storage devices for execution by the at least one of the one or more processors via the at least one of the one or more memories, responsive to determining that the at least one document comprises the Sino-Tibetan based words, to populate a Sino-Tibetan based word list with unique Sino-Tibetan based words in the at least one document and to determine a frequency of the unique Sino-Tibetan based words in the at least one document; and program instructions, stored on the at least one of the one or more storage devices for execution by the at least one of the one or more processors via the at least one of the one or more memories, to generate results comprising the unique Latin based words, the frequency of the unique Latin based words, the unique Sino-Tibetan based words, and the frequency of the unique Sino-Tibetan based words. 2. The computer system of claim 1 , wherein the program instructions to determine whether the location comprises the Latin based words or the Sino-Tibetan based words identify a Unicode encoding for words in the location.
| 0.890594 |
9,507,779 | 1 | 5 |
1. A method comprising: receiving a multimedia stream having media objects; categorizing the media objects into a global media object and a local media object, wherein the global media object represents the multimedia stream and is categorized by a first attribute type and the local media object represents a limited feature within the multimedia stream and is categorized by a second attribute type; receiving the global media object at a global media description generation unit; receiving the local media object at a local media description generation unit; generating, at the global media description generation unit, a global multimedia object description for the global media object; generating, at the local media description generation unit, a local multimedia object description for the local media object; generating an integration description scheme which creates, when implemented, relationships between the global multimedia object description and the local multimedia object description; generating a description record to represent a portion of the multimedia stream by integrating, according to the integration description scheme, the global multimedia object description and the local multimedia object description; and retrieving requested multimedia content based on a search query similarity to the description record.
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1. A method comprising: receiving a multimedia stream having media objects; categorizing the media objects into a global media object and a local media object, wherein the global media object represents the multimedia stream and is categorized by a first attribute type and the local media object represents a limited feature within the multimedia stream and is categorized by a second attribute type; receiving the global media object at a global media description generation unit; receiving the local media object at a local media description generation unit; generating, at the global media description generation unit, a global multimedia object description for the global media object; generating, at the local media description generation unit, a local multimedia object description for the local media object; generating an integration description scheme which creates, when implemented, relationships between the global multimedia object description and the local multimedia object description; generating a description record to represent a portion of the multimedia stream by integrating, according to the integration description scheme, the global multimedia object description and the local multimedia object description; and retrieving requested multimedia content based on a search query similarity to the description record. 5. The method of claim 1 , wherein the global multimedia object description and the local multimedia object description further comprise corresponding descriptor elements.
| 0.781888 |
8,116,569 | 1 | 5 |
1. One or more computer-storage media embodying computer-useable instructions for performing a method comprising: receiving input corresponding with user handwriting from a handheld writing device; displaying digital ink representing the user handwriting based on the input; analyzing the input using a recognizer to identify one or more words as recognition text for the digital ink; employing at least three triggers to determine when to convert display of the digital ink to display of the recognition text, wherein the at least three triggers include a distance-based trigger, a recognition-based trigger, and an overall timer-based trigger; determining that at least one of the at least three triggers has been satisfied indicating to convert display of the digital ink to the recognition text; displaying the recognition text in place of the digital ink; saving the digital ink after the recognition text has been displayed in place of the digital ink; and using the digital ink with new digital ink for recognition purposes, wherein the digital ink is no longer used for recognition purposes when the one or more words of recognition text corresponding with the digital ink are more than a predetermined number of words prior to the new digital ink.
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1. One or more computer-storage media embodying computer-useable instructions for performing a method comprising: receiving input corresponding with user handwriting from a handheld writing device; displaying digital ink representing the user handwriting based on the input; analyzing the input using a recognizer to identify one or more words as recognition text for the digital ink; employing at least three triggers to determine when to convert display of the digital ink to display of the recognition text, wherein the at least three triggers include a distance-based trigger, a recognition-based trigger, and an overall timer-based trigger; determining that at least one of the at least three triggers has been satisfied indicating to convert display of the digital ink to the recognition text; displaying the recognition text in place of the digital ink; saving the digital ink after the recognition text has been displayed in place of the digital ink; and using the digital ink with new digital ink for recognition purposes, wherein the digital ink is no longer used for recognition purposes when the one or more words of recognition text corresponding with the digital ink are more than a predetermined number of words prior to the new digital ink. 5. The one or more computer-storage media of claim 1 , wherein the digital ink is no longer used for recognition purposes when recognition results for the digital ink have not changed for a predetermined period of time.
| 0.896209 |
8,972,843 | 11 | 17 |
11. A source electronic device comprising: a storage media to store a modular document, wherein the modular document comprises plural component documents; and a processor to: receive a request to send the modular document to a destination electronic device; in response to the request, determine which of the plural component documents is already available at the destination electronic device; and prepare a package to send to the destination electronic device, wherein the package includes the modular document and a subset of the plural component documents not already available at the destination electronic device, the modular document in the package including references to the plural component documents, and wherein the processor is to not include in the package one or more component documents determined to be already available at the destination electronic device.
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11. A source electronic device comprising: a storage media to store a modular document, wherein the modular document comprises plural component documents; and a processor to: receive a request to send the modular document to a destination electronic device; in response to the request, determine which of the plural component documents is already available at the destination electronic device; and prepare a package to send to the destination electronic device, wherein the package includes the modular document and a subset of the plural component documents not already available at the destination electronic device, the modular document in the package including references to the plural component documents, and wherein the processor is to not include in the package one or more component documents determined to be already available at the destination electronic device. 17. The source electronic device of claim 11 , wherein the processor is to further send the package to the destination electronic device in response to the request.
| 0.849265 |
10,055,501 | 1 | 2 |
1. A method for processing an electronic query, comprising: receiving an electronic query from a client computer at a server computer, wherein the server computer is configured for: analyzing the query using a language modeling engine and a knowledge base to compute match scores and to classify the query into one or more predefined categories stored in the knowledge base based upon the match scores, wherein each of the predefined categories is associated with a suggested response; wherein the language modeling engine analyzes a natural language text of the query to generate concepts associated with the query, statistically compares the concepts with rules associated with the rule-oriented nodes and with concepts associated with the concept-oriented nodes stored in the knowledge base, and computes the match scores for one or more concept-oriented nodes representing one or more of the predefined categories; determining if the query meets any of one or more predetermined threshold levels for an automated response, based upon the match scores; transmitting a suggested response page to the client computer, if the query does meet any of the predetermined threshold levels for the automated response, wherein the suggested response page includes the suggested response associated with each of the predefined categories with an associated match score greater than or equal to a corresponding one of the predetermined threshold levels; otherwise routing the query to an agent for further analysis, if the query does not meet any of the predetermined threshold levels for the automated response, wherein the client computer is sent a confirmation page confirming that the query is being routed to the agent for further analysis, and the agent subsequently replies to the query; and wherein a language analysis server processes the agent's reply to the client computer to generate agent-based feedback, and the language analysis server updates the knowledge base based upon the agent-based feedback; wherein the language analysis server modifies concepts, adds new concepts, eliminates concepts, or modifies weights assigned to different concepts associated with concept-oriented nodes stored in the knowledge base, based upon the agent-based feedback; and wherein the query is considered resolved, if the client computer selects a suggested response or if the client computer does not select any response; receiving client-based feedback, in response to the query being resolved, for use in updating the knowledge base, wherein: if the client computer selects a suggested response corresponding to a high match score, then the client computer generates a positive client-based feedback for use in updating the knowledge base, and if the client computer selects a suggested response corresponding to a low match score, then the client computer generates a negative client-based feedback for use in updating the knowledge base.
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1. A method for processing an electronic query, comprising: receiving an electronic query from a client computer at a server computer, wherein the server computer is configured for: analyzing the query using a language modeling engine and a knowledge base to compute match scores and to classify the query into one or more predefined categories stored in the knowledge base based upon the match scores, wherein each of the predefined categories is associated with a suggested response; wherein the language modeling engine analyzes a natural language text of the query to generate concepts associated with the query, statistically compares the concepts with rules associated with the rule-oriented nodes and with concepts associated with the concept-oriented nodes stored in the knowledge base, and computes the match scores for one or more concept-oriented nodes representing one or more of the predefined categories; determining if the query meets any of one or more predetermined threshold levels for an automated response, based upon the match scores; transmitting a suggested response page to the client computer, if the query does meet any of the predetermined threshold levels for the automated response, wherein the suggested response page includes the suggested response associated with each of the predefined categories with an associated match score greater than or equal to a corresponding one of the predetermined threshold levels; otherwise routing the query to an agent for further analysis, if the query does not meet any of the predetermined threshold levels for the automated response, wherein the client computer is sent a confirmation page confirming that the query is being routed to the agent for further analysis, and the agent subsequently replies to the query; and wherein a language analysis server processes the agent's reply to the client computer to generate agent-based feedback, and the language analysis server updates the knowledge base based upon the agent-based feedback; wherein the language analysis server modifies concepts, adds new concepts, eliminates concepts, or modifies weights assigned to different concepts associated with concept-oriented nodes stored in the knowledge base, based upon the agent-based feedback; and wherein the query is considered resolved, if the client computer selects a suggested response or if the client computer does not select any response; receiving client-based feedback, in response to the query being resolved, for use in updating the knowledge base, wherein: if the client computer selects a suggested response corresponding to a high match score, then the client computer generates a positive client-based feedback for use in updating the knowledge base, and if the client computer selects a suggested response corresponding to a low match score, then the client computer generates a negative client-based feedback for use in updating the knowledge base. 2. The method of claim 1 , wherein the knowledge base comprises a plurality of nodes configured in a hierarchically structured branching network, each node is configured as either a rule-oriented or a concept-oriented node, and each concept-oriented node is associated with a predefined category.
| 0.5 |
9,099,089 | 1 | 3 |
1. A system comprising: an electronic data store configured to store: an audiobook; and an electronic book that is a companion to the audiobook; a computing device in communication with the electronic data store, the computing device configured to: generate a textual transcription of the audiobook; compare the textual transcription of the audiobook with text of the electronic book to identify an uncertain region in the electronic book, wherein the uncertain region includes text of the electronic book for which corresponding audio in the audiobook has not yet been identified; identify a region of audio content within the audiobook that is preliminarily aligned to the text included in the uncertain region; generate a language model using the text included in the uncertain region; apply the language model to the region of audio content within the audiobook to generate an updated textual transcription of the audiobook; determine that one or more words of the updated textual transcription substantially correspond to one or more words in the text included within the uncertain region; and generate content synchronization information, wherein the content synchronization information enables synchronous presentation of the one or more words in the text included within the uncertain region and a portion of audio content within the audiobook corresponding to the one or more words of the updated textual transcription.
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1. A system comprising: an electronic data store configured to store: an audiobook; and an electronic book that is a companion to the audiobook; a computing device in communication with the electronic data store, the computing device configured to: generate a textual transcription of the audiobook; compare the textual transcription of the audiobook with text of the electronic book to identify an uncertain region in the electronic book, wherein the uncertain region includes text of the electronic book for which corresponding audio in the audiobook has not yet been identified; identify a region of audio content within the audiobook that is preliminarily aligned to the text included in the uncertain region; generate a language model using the text included in the uncertain region; apply the language model to the region of audio content within the audiobook to generate an updated textual transcription of the audiobook; determine that one or more words of the updated textual transcription substantially correspond to one or more words in the text included within the uncertain region; and generate content synchronization information, wherein the content synchronization information enables synchronous presentation of the one or more words in the text included within the uncertain region and a portion of audio content within the audiobook corresponding to the one or more words of the updated textual transcription. 3. The system of claim 1 , wherein the computing device is further configured to synchronously present the one or more words in the text of the electronic book included within the uncertain region and the portion of audio content within the audiobook corresponding to the one or more words of the updated textual transcription.
| 0.5 |
9,810,545 | 13 | 18 |
13. A non-transitory machine-readable storage medium encoded with instructions that, when executed by one or more processors, cause the processor to carry out a process comprising: receiving a route request associated with a user; determining one or more candidate routes responsive to the route request, wherein each of the one or more candidate routes comprises one or more road segments; accessing a plurality of different road speed models, wherein each road speed model comprises a model of vehicle speeds on one or more of the one or more road segments during different conditions, each road speed model having been created by a road speed modeler configured to: collect observations of road speed data during a plurality of driving sessions, the road speed data including a set of sensor measurements relevant to road speed; and create the plurality of different road speed models corresponding to different conditions that impact the road speed; selecting at least one of the plurality of different road speed models based at least in part on one or more conditions associated with the route request; and employing the selected at least one road speed model to predict one or more travel times respectively for the one or more candidate routes.
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13. A non-transitory machine-readable storage medium encoded with instructions that, when executed by one or more processors, cause the processor to carry out a process comprising: receiving a route request associated with a user; determining one or more candidate routes responsive to the route request, wherein each of the one or more candidate routes comprises one or more road segments; accessing a plurality of different road speed models, wherein each road speed model comprises a model of vehicle speeds on one or more of the one or more road segments during different conditions, each road speed model having been created by a road speed modeler configured to: collect observations of road speed data during a plurality of driving sessions, the road speed data including a set of sensor measurements relevant to road speed; and create the plurality of different road speed models corresponding to different conditions that impact the road speed; selecting at least one of the plurality of different road speed models based at least in part on one or more conditions associated with the route request; and employing the selected at least one road speed model to predict one or more travel times respectively for the one or more candidate routes. 18. The non-transitory machine-readable storage medium of claim 13 , wherein the plurality of different road speed models are created at least in part from road segment data that includes transition time from one stretch of road to another.
| 0.784173 |
8,972,387 | 17 | 20 |
17. The computer program product of claim 16 , wherein the computer readable program code, when executed by the processor of the computer, is configured to perform: in response to receiving the search input, determining whether to perform the query search based on the search input; and in response to determining that the query search is to be performed, performing the query search.
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17. The computer program product of claim 16 , wherein the computer readable program code, when executed by the processor of the computer, is configured to perform: in response to receiving the search input, determining whether to perform the query search based on the search input; and in response to determining that the query search is to be performed, performing the query search. 20. The computer program product of claim 17 , wherein it is determined to perform the query search when the search input comprises a single attribute value.
| 0.622596 |
7,496,496 | 1 | 5 |
1. A method of training a machine translation computing device to generate confidence scores indicative of a quality of a translation result, comprising: translating a source string with a machine translation computing device to generate a target string; extracting features from the machine translator, indicative of performance of translation steps in the machine translator; obtaining a trusted entity-assigned translation score indicative of a trusted entity-assigned translation quality of the target string; identifying a relationship between a subset of the extracted features and the trusted entity-assigned translation score; parsing the source string into a source intermediate linguistic structure indicative of a meaning of the source string; wherein translating includes translating the source intermediate linguistic structure to a target intermediate linguistic structure; wherein translating the source intermediate linguistic structure comprises identifying mappings, in a mapping database, that map portions of the source intermediate linguistic structure to portions of the target intermediate linguistic structure; and wherein extracting one or more features indicative of a quality of transiating the source intermediate linguistic structure comprises extracting a feature indicative of a number of identified mappings.
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1. A method of training a machine translation computing device to generate confidence scores indicative of a quality of a translation result, comprising: translating a source string with a machine translation computing device to generate a target string; extracting features from the machine translator, indicative of performance of translation steps in the machine translator; obtaining a trusted entity-assigned translation score indicative of a trusted entity-assigned translation quality of the target string; identifying a relationship between a subset of the extracted features and the trusted entity-assigned translation score; parsing the source string into a source intermediate linguistic structure indicative of a meaning of the source string; wherein translating includes translating the source intermediate linguistic structure to a target intermediate linguistic structure; wherein translating the source intermediate linguistic structure comprises identifying mappings, in a mapping database, that map portions of the source intermediate linguistic structure to portions of the target intermediate linguistic structure; and wherein extracting one or more features indicative of a quality of transiating the source intermediate linguistic structure comprises extracting a feature indicative of a number of identified mappings. 5. The method of claim 1 wherein each mapping has an associated confidence score and wherein extracting one or more features indicative of a quality of translating the source intermediate linguistic structure comprises: extracting a feature indicative of the confidence scores associated with the identified mappings.
| 0.5 |
8,839,414 | 11 | 18 |
11. A computer program product comprising a computer-readable medium storing computer executable instructions which, when executed by one or more processors, cause said one or more processors to provide a method of providing secure credentials for accessing a target resource comprising: receiving a connection request to the target resource from an unattended requestor application, the connection request including target resource information identifying the target resource and configuration information necessary to authenticate the requestor application, wherein the configuration information of the requestor application is fingerprint information, which uniquely identifies a node of the requestor application; decoding the request to extract the target resource information and the configuration information required by a credential manager to authenticate the requestor application and to retrieve the secure credentials for accessing the target resource, the credential manager managing and storing credentials for the target resource; securely communicating the extracted information to the credential manager; based on the extracted information, authenticating, by the credential manager, the requestor application and in response to the success of the authentication retrieving, by the credential manager, corresponding one or more credential for accessing the target resource; generating a native database connection request to the target resource, including the retrieved credential; and passing the native database connection request to the native database connectivity component to establish the connection.
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11. A computer program product comprising a computer-readable medium storing computer executable instructions which, when executed by one or more processors, cause said one or more processors to provide a method of providing secure credentials for accessing a target resource comprising: receiving a connection request to the target resource from an unattended requestor application, the connection request including target resource information identifying the target resource and configuration information necessary to authenticate the requestor application, wherein the configuration information of the requestor application is fingerprint information, which uniquely identifies a node of the requestor application; decoding the request to extract the target resource information and the configuration information required by a credential manager to authenticate the requestor application and to retrieve the secure credentials for accessing the target resource, the credential manager managing and storing credentials for the target resource; securely communicating the extracted information to the credential manager; based on the extracted information, authenticating, by the credential manager, the requestor application and in response to the success of the authentication retrieving, by the credential manager, corresponding one or more credential for accessing the target resource; generating a native database connection request to the target resource, including the retrieved credential; and passing the native database connection request to the native database connectivity component to establish the connection. 18. The computer program product of claim 11 , wherein the functional modules comprise Open Database Connectivity (ODBC) APIs.
| 0.675258 |
8,639,508 | 15 | 16 |
15. The method of claim 14 , wherein the step (d) determination is further carried out by calculating an average of the plurality of confidence scores, and setting the user-specific confidence threshold to a value that is relative to the calculated average.
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15. The method of claim 14 , wherein the step (d) determination is further carried out by calculating an average of the plurality of confidence scores, and setting the user-specific confidence threshold to a value that is relative to the calculated average. 16. The method of claim 15 , wherein the step (d) determination is also carried out by first verifying that the plurality of confidence scores are within a predetermined range.
| 0.5 |
8,150,698 | 16 | 18 |
16. A computer program product for invoking tapered prompts in a multimodal application, the computer program product including a multimodal browser operating on a multimodal device supporting multiple modes of user interaction with the multimodal application, the modes of user interaction including a voice mode and one or more non-voice modes, the computer program product disposed upon a computer-readable recordable medium, the computer program product comprising computer program instructions that, when executed, perform a method comprising acts of: identifying a first prompt element and a second prompt element of a tapered prompt associated with a multimodal application; rendering, in a first style, a first multimodal prompt associated with the first prompt element, the first multimodal prompt comprising a first speech prompt and a first non-speech prompt, the first style comprising a first speech style for the first speech prompt and a first non-speech style for the first non-speech prompt; and rendering, in a second style, a second multimodal prompt associated with the second prompt element, the second multimodal prompt comprising a second speech prompt and a second non-speech prompt, the second non-speech prompt having content that is different from content of the first non-speech prompt, the second style comprising a second speech style for the second speech prompt and a second non-speech style for the second non-speech prompt, the second speech style being different from the first speech style, the second non-speech style being different from the first non-speech style and being selected in conjunction with the second speech style.
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16. A computer program product for invoking tapered prompts in a multimodal application, the computer program product including a multimodal browser operating on a multimodal device supporting multiple modes of user interaction with the multimodal application, the modes of user interaction including a voice mode and one or more non-voice modes, the computer program product disposed upon a computer-readable recordable medium, the computer program product comprising computer program instructions that, when executed, perform a method comprising acts of: identifying a first prompt element and a second prompt element of a tapered prompt associated with a multimodal application; rendering, in a first style, a first multimodal prompt associated with the first prompt element, the first multimodal prompt comprising a first speech prompt and a first non-speech prompt, the first style comprising a first speech style for the first speech prompt and a first non-speech style for the first non-speech prompt; and rendering, in a second style, a second multimodal prompt associated with the second prompt element, the second multimodal prompt comprising a second speech prompt and a second non-speech prompt, the second non-speech prompt having content that is different from content of the first non-speech prompt, the second style comprising a second speech style for the second speech prompt and a second non-speech style for the second non-speech prompt, the second speech style being different from the first speech style, the second non-speech style being different from the first non-speech style and being selected in conjunction with the second speech style. 18. The computer program product of claim 16 wherein the first prompt element is associated with a prompt counter shadow variable and a source expression attribute whose value depends upon a value of the prompt counter shadow variable; and wherein the act of rendering the first multimodal prompt comprises identifying the first speech prompt based at least in part on the value of the source expression attribute.
| 0.623636 |
9,135,602 | 21 | 29 |
21. A non-transitory computer readable media storing program code that when executed by the one or more computing devices is configured to cause the system to perform operations comprising: receiving an electronic building plan document including a plurality of plan sheets; providing a first of the plurality of plan sheets for display; providing a user interface via which a user can select a first comment from a predefined standard comments library and associate the first comment with the first plan sheet; providing a user interface via which the user can associate metadata, including at least a discipline, with the first comment: storing a first plurality of comments, including at least the first comment, in association with respective metadata; enabling the user to search for comments by specifying, via a search user interface, one or more items of the first plurality of metadata, wherein the search interface comprises the following distinct fields: department tasked to perform a review; disposition; reviewer identifier; category; and project type; generating and providing comments search results in response to a search query received via the search interface; providing a user interface via which the user can select, by category and/or subcategory a plurality of comments to be included in a plan correction document; and generating a correction document of items that need to be corrected in order for at least one approval document to be issued, the correction document including a plurality of comments specified by a plurality of users wherein the correction document includes: a category value, associated comments, and respective sheet identifiers for comments included in the correction document; providing the correction document to at least one user; generating a checklist including a plurality of items based on a plurality of comments, wherein a given checklist item denotes a task to be performed by a reviewer with respect to the electronic plan document; receiving a corrected version of the electronic building plan document; recording an indication as to whether the corrected version of the electronic building plan has been approved; tracking approval status of one or more building-related approval documents and providing the approval status to one or more users.
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21. A non-transitory computer readable media storing program code that when executed by the one or more computing devices is configured to cause the system to perform operations comprising: receiving an electronic building plan document including a plurality of plan sheets; providing a first of the plurality of plan sheets for display; providing a user interface via which a user can select a first comment from a predefined standard comments library and associate the first comment with the first plan sheet; providing a user interface via which the user can associate metadata, including at least a discipline, with the first comment: storing a first plurality of comments, including at least the first comment, in association with respective metadata; enabling the user to search for comments by specifying, via a search user interface, one or more items of the first plurality of metadata, wherein the search interface comprises the following distinct fields: department tasked to perform a review; disposition; reviewer identifier; category; and project type; generating and providing comments search results in response to a search query received via the search interface; providing a user interface via which the user can select, by category and/or subcategory a plurality of comments to be included in a plan correction document; and generating a correction document of items that need to be corrected in order for at least one approval document to be issued, the correction document including a plurality of comments specified by a plurality of users wherein the correction document includes: a category value, associated comments, and respective sheet identifiers for comments included in the correction document; providing the correction document to at least one user; generating a checklist including a plurality of items based on a plurality of comments, wherein a given checklist item denotes a task to be performed by a reviewer with respect to the electronic plan document; receiving a corrected version of the electronic building plan document; recording an indication as to whether the corrected version of the electronic building plan has been approved; tracking approval status of one or more building-related approval documents and providing the approval status to one or more users. 29. The media as defined in claim 21 , the operations further comprising providing a user interface via which the user can initiate a batch import of comments into a comment data structure from a document.
| 0.702035 |
7,712,016 | 1 | 5 |
1. A method for utilizing an object model in an application program for managing a plurality of content regions for displaying specific types of content in an electronic document, the method comprising: providing a plurality of objects in the object model, wherein the plurality of objects comprises a plurality of properties, a plurality of methods, and a plurality of events each functionally associated with the plurality of content regions; exposing an application programming interface (API) in the object model for accessing the plurality of objects, wherein exposing the API in the object model for accessing the plurality of objects comprises providing an interactive content pane for managing content regions, each content region being operative to provide an interactive region corresponding to a specific type of content for entering the specific type of content into each content region; providing a dropdown list corresponding to the plurality of objects, the dropdown list comprising entries associated with the plurality of properties, the plurality of methods, and the plurality of events; receiving a selection of a first entry in the dropdown list, the first entry being associated with adding at least one content region, wherein adding the at least one content region comprises adding the at least one content region based on at least one parameter and at least one object for specifying the at least one content region, the at least one parameter corresponding to the specific type of content associated with the at least one content region and the at least one object corresponding to a location for adding the at least one content region; adding the at least one content region; receiving a selection of a second entry in the dropdown list; and utilizing, in response to receiving the selection of the second entry, one of the plurality of properties, the plurality of methods, and the plurality of events associated with the second entry to manage the at least one content region.
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1. A method for utilizing an object model in an application program for managing a plurality of content regions for displaying specific types of content in an electronic document, the method comprising: providing a plurality of objects in the object model, wherein the plurality of objects comprises a plurality of properties, a plurality of methods, and a plurality of events each functionally associated with the plurality of content regions; exposing an application programming interface (API) in the object model for accessing the plurality of objects, wherein exposing the API in the object model for accessing the plurality of objects comprises providing an interactive content pane for managing content regions, each content region being operative to provide an interactive region corresponding to a specific type of content for entering the specific type of content into each content region; providing a dropdown list corresponding to the plurality of objects, the dropdown list comprising entries associated with the plurality of properties, the plurality of methods, and the plurality of events; receiving a selection of a first entry in the dropdown list, the first entry being associated with adding at least one content region, wherein adding the at least one content region comprises adding the at least one content region based on at least one parameter and at least one object for specifying the at least one content region, the at least one parameter corresponding to the specific type of content associated with the at least one content region and the at least one object corresponding to a location for adding the at least one content region; adding the at least one content region; receiving a selection of a second entry in the dropdown list; and utilizing, in response to receiving the selection of the second entry, one of the plurality of properties, the plurality of methods, and the plurality of events associated with the second entry to manage the at least one content region. 5. The method of claim 1 , wherein utilizing, in response to receiving the selection of the second entry, the plurality of methods comprises: calling a first method to add an additional content region around a specified range in the electronic document; calling a second method to copy the at least one content region from a first location in the electronic document for insertion in a second location in the electronic document; calling a third method to delete the at least one content region from the electronic document; calling a fourth method to set placeholder text for the at least one content region; calling a fifth method to set a custom validation error for the at least one content region; calling a sixth method to add a new item to the dropdown list for the at least one content region; calling a seventh method for removing all dropdown entries from the dropdown list; calling an eighth method to reorder the dropdown list; and calling a ninth method to cut the at least one content region from the electronic document.
| 0.5 |
8,353,932 | 1 | 18 |
1. In a medical implant assembly having at least one polyaxial bone screw attached to a longitudinal connecting member, the bone screw having a receiver with a channel, the improvement wherein: a) at least a portion of the longitudinal connecting member is sized and shaped to be received in the receiver channel; and further comprising: b) a compression insert directly engaging both the longitudinal connecting member and a shank of the polyaxial bone screw, the insert having a base, a pair of opposed arms with outer receiver engaging portions, and the opposed arms defining a through channel with a lower connecting member seating surface; wherein c) the compression insert is top-loadable in the receiver in a first orientation, wherein, when in the first orientation, the compression insert through channel is substantially perpendicular to the receiver channel, and then rotated to a second orientation, such that the compression insert through channel is substantially parallel to the receiver channel and cooperating receiver portions snap into the receiver engaging portions.
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1. In a medical implant assembly having at least one polyaxial bone screw attached to a longitudinal connecting member, the bone screw having a receiver with a channel, the improvement wherein: a) at least a portion of the longitudinal connecting member is sized and shaped to be received in the receiver channel; and further comprising: b) a compression insert directly engaging both the longitudinal connecting member and a shank of the polyaxial bone screw, the insert having a base, a pair of opposed arms with outer receiver engaging portions, and the opposed arms defining a through channel with a lower connecting member seating surface; wherein c) the compression insert is top-loadable in the receiver in a first orientation, wherein, when in the first orientation, the compression insert through channel is substantially perpendicular to the receiver channel, and then rotated to a second orientation, such that the compression insert through channel is substantially parallel to the receiver channel and cooperating receiver portions snap into the receiver engaging portions. 18. The improvement of claim 1 wherein a) the receiver engaging portions of the insert opposed arms are outwardly extending flange portions.
| 0.867925 |
7,853,601 | 1 | 6 |
1. A method for associating an advertisement with at least one content on Internet, the method comprising: gathering one or more feeds associated with at least one content from a plurality of content; categorizing the at least one content into at least one general web-based category, the at least one general web-based category belonging to a set of general web-based categories, wherein the at least one content is categorized based on the one or more feeds associated with the at least one content; translating the set of general web-based categories to a set of pre-defined categories, wherein one or more general web-based categories from the set of general web-based categories are translated to a pre-defined category in the set of pre-defined categories; associating the advertisement with the at least one content in one or more pre-defined categories from the set of pre-defined categories based on at least one predetermined criterion; and wherein the categorizing step comprises providing a relevance percentage corresponding to the at least one content categorized into each of the at least one general web-based category.
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1. A method for associating an advertisement with at least one content on Internet, the method comprising: gathering one or more feeds associated with at least one content from a plurality of content; categorizing the at least one content into at least one general web-based category, the at least one general web-based category belonging to a set of general web-based categories, wherein the at least one content is categorized based on the one or more feeds associated with the at least one content; translating the set of general web-based categories to a set of pre-defined categories, wherein one or more general web-based categories from the set of general web-based categories are translated to a pre-defined category in the set of pre-defined categories; associating the advertisement with the at least one content in one or more pre-defined categories from the set of pre-defined categories based on at least one predetermined criterion; and wherein the categorizing step comprises providing a relevance percentage corresponding to the at least one content categorized into each of the at least one general web-based category. 6. The method of claim 1 , wherein the one or more feeds are obtained in at least one of a RSS 2.0 format and an ATOM 1.0 format.
| 0.856027 |
8,306,752 | 1 | 8 |
1. A computer-implemented method for identifying a regulatory interaction between a transcription factor and a gene target of said transcription factor, the method comprising: a) providing a compendium of biochemical expression measurements reflecting gene expression for a set of biochemical species in an organism wherein at least a subset of said species are transcription factors and a second subset of said species are gene targets of transcription factors; b) in a specifically programmed computer, computing mutual information between members of said set of biochemical species; c) in a specifically programmed computer, applying a background correction to each said mutual information value so as to identify a set of those mutual information values that are significantly higher than background mutual information values, wherein the step of applying a background correction comprises the step of estimating a likelihood of the mutual information score, MI, for each possible pair of genes, by comparing the mutual information score for that pair to a background distribution of mutual information values, and wherein said set of mutual information values identified in step (c) identifies a regulatory interaction between a transcription factor and a gene target of said transcription factor; and d) outputting the identified regulatory interaction to a user interface.
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1. A computer-implemented method for identifying a regulatory interaction between a transcription factor and a gene target of said transcription factor, the method comprising: a) providing a compendium of biochemical expression measurements reflecting gene expression for a set of biochemical species in an organism wherein at least a subset of said species are transcription factors and a second subset of said species are gene targets of transcription factors; b) in a specifically programmed computer, computing mutual information between members of said set of biochemical species; c) in a specifically programmed computer, applying a background correction to each said mutual information value so as to identify a set of those mutual information values that are significantly higher than background mutual information values, wherein the step of applying a background correction comprises the step of estimating a likelihood of the mutual information score, MI, for each possible pair of genes, by comparing the mutual information score for that pair to a background distribution of mutual information values, and wherein said set of mutual information values identified in step (c) identifies a regulatory interaction between a transcription factor and a gene target of said transcription factor; and d) outputting the identified regulatory interaction to a user interface. 8. The method of claim 1 wherein said organism is a microorganism.
| 0.926991 |
8,037,084 | 1 | 2 |
1. A method of transcoding a web page of a web site, the method comprising: receiving a request from a client device for the web page of the web site; retrieving a signature schema for the web site, said signature schema comprising one or more instructions to identify a web page family for the web page and to extract a subset of data from the web page using one or more signatures previously identified within at least one web page of a same web page family of the web site; obtaining the web page; and applying the one or more instructions to the web page for presentation of the web page by a browser of the client device; wherein at least some of the instructions include one or more directional references relative to the signatures to locate and extract some of the subset of data within the web page.
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1. A method of transcoding a web page of a web site, the method comprising: receiving a request from a client device for the web page of the web site; retrieving a signature schema for the web site, said signature schema comprising one or more instructions to identify a web page family for the web page and to extract a subset of data from the web page using one or more signatures previously identified within at least one web page of a same web page family of the web site; obtaining the web page; and applying the one or more instructions to the web page for presentation of the web page by a browser of the client device; wherein at least some of the instructions include one or more directional references relative to the signatures to locate and extract some of the subset of data within the web page. 2. The method of claim 1 wherein the web page comprises code in a markup language; wherein the one or more signatures comprise text strings within the code; and wherein said one or more directional references indicate positions of some of the subset of data within the web page code relative to the text strings.
| 0.567867 |
10,146,746 | 1 | 3 |
1. A method of converting a document, the method comprising: loading a document file with respect to an original document generated through a word processing program on a local device, the generated original document having a plurality of pages, wherein each of the plurality of the pages included in the original document has an identical page layout; extracting content information about original content of the original document and layout information including the page layout of the original document from the document file; wherein the layout information includes a data which is related to a page size and a page blank space of the original document, the page blank space having at least one of a top margin and a bottom margin of the original document, generating a content layer as a single sheet based on the content information, wherein content of the content layer described in the single sheet corresponds to the original content of the original document described in the plurality of the pages, changing the content layer based on the layout information, the changed content layer having an intermediate blank space which is inserted into a separating position of the content of the content layer, the separating position corresponding to a page boundary of the original document which is determined by the page layout of the original document, wherein a size of the intermediate blank space is determined based on at least one of the top margin and the bottom margin; generating a frame layer including a plurality of page frame images based on the layout information, wherein a number of the plurality of the page frame images is identical to a number of the plurality of the pages of the original document, the plurality of the page frame images have an identical size, and each of the plurality of the page frame images has a page frame boundary; and generating a converted document by combining the content layer and the frame layer, wherein the content layer is provided as the single sheet and the frame layer is overlaid on the single sheet so that the converted document being provided as the single sheet electronically is visually represented as having the plurality of the pages.
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1. A method of converting a document, the method comprising: loading a document file with respect to an original document generated through a word processing program on a local device, the generated original document having a plurality of pages, wherein each of the plurality of the pages included in the original document has an identical page layout; extracting content information about original content of the original document and layout information including the page layout of the original document from the document file; wherein the layout information includes a data which is related to a page size and a page blank space of the original document, the page blank space having at least one of a top margin and a bottom margin of the original document, generating a content layer as a single sheet based on the content information, wherein content of the content layer described in the single sheet corresponds to the original content of the original document described in the plurality of the pages, changing the content layer based on the layout information, the changed content layer having an intermediate blank space which is inserted into a separating position of the content of the content layer, the separating position corresponding to a page boundary of the original document which is determined by the page layout of the original document, wherein a size of the intermediate blank space is determined based on at least one of the top margin and the bottom margin; generating a frame layer including a plurality of page frame images based on the layout information, wherein a number of the plurality of the page frame images is identical to a number of the plurality of the pages of the original document, the plurality of the page frame images have an identical size, and each of the plurality of the page frame images has a page frame boundary; and generating a converted document by combining the content layer and the frame layer, wherein the content layer is provided as the single sheet and the frame layer is overlaid on the single sheet so that the converted document being provided as the single sheet electronically is visually represented as having the plurality of the pages. 3. The method of claim 1 , wherein a number of the plurality of the pages of the converted document as visually represented is identical to the number of the plurality of the pages of the original document.
| 0.675079 |
7,818,345 | 18 | 19 |
18. The method of claim 17 , further comprising: associating the tag with a piece of data related to the page in which the text block corresponding to the text file appears; associating the piece of data with a location in the database.
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18. The method of claim 17 , further comprising: associating the tag with a piece of data related to the page in which the text block corresponding to the text file appears; associating the piece of data with a location in the database. 19. The method of claim 18 , further comprising: creating a marked file for the page of the document; transferring all of the tags corresponding to the text blocks of the page into said marked file; and associating said marked file with a location in the database.
| 0.5 |
7,761,436 | 6 | 7 |
6. The method according to claim 1 , further comprising receiving from the user a third set of keywords that designate that annotated content annotated by at least one keyword included in the second set of keywords may not be shared with the annotating user via selection of a keyword in the second set of keywords.
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6. The method according to claim 1 , further comprising receiving from the user a third set of keywords that designate that annotated content annotated by at least one keyword included in the second set of keywords may not be shared with the annotating user via selection of a keyword in the second set of keywords. 7. The method according to claim 6 , wherein the third set of keywords is a subset of the second set of keywords.
| 0.5 |
8,204,182 | 10 | 17 |
10. A method for extending a voice server to add text exchange capabilities, the method comprising acts of: establishing a real-time interactive dialog between a text exchange client and a speech application executing in a VoiceXML server; during the interactive dialogue, dynamically translating text entered into the text exchange client that is grammatically part of a text exchange specific language into corresponding text that is grammatically part of a conversational language using a translation table which is configurable by a user of the text exchange client; sending the corresponding text that is grammatically part of a conversational language to the speech application for automatic output generation; receiving, from the speech application, an automatic output message responsive to the text entered into the text exchange client; and sending output text related to the automatic output message to the text exchange client.
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10. A method for extending a voice server to add text exchange capabilities, the method comprising acts of: establishing a real-time interactive dialog between a text exchange client and a speech application executing in a VoiceXML server; during the interactive dialogue, dynamically translating text entered into the text exchange client that is grammatically part of a text exchange specific language into corresponding text that is grammatically part of a conversational language using a translation table which is configurable by a user of the text exchange client; sending the corresponding text that is grammatically part of a conversational language to the speech application for automatic output generation; receiving, from the speech application, an automatic output message responsive to the text entered into the text exchange client; and sending output text related to the automatic output message to the text exchange client. 17. The method of claim 10 , wherein said acts of claim 10 are acts performed automatically by at least one machine in accordance with at least one computer program having a plurality of code sections that are executable by the at least one machine.
| 0.633824 |
10,089,282 | 1 | 3 |
1. A method of collating text strings having Unicode encoding, comprising: at a computer having one or more processors, and memory storing one or more programs configured for execution by the one or more processors: receiving a first text string S=s 1 s 2 . . . s n having Unicode encoding and a second text string T=t 1 t 2 . . . t m having Unicode encoding, wherein n and m are positive integers, s 1 , s 2 , . . . , s n and t 1 , t 2 , . . . , t m are Unicode characters, and S is not identical to T; (1) identifying a positive integer p with s 1 =t 1 , s 2 =t 2 , . . . , s p−1 =t p−1 and s p ≠t p , wherein at least one of s p and t p is a non-ASCII character; (2) looking up the characters s p and t p in a predefined lookup table to determine a weight v p for the character s p and a weight w p for the character t p ; (3) when at least one of s p and t p is not found in the lookup table, determining the collation order of the strings S and T using Unicode weights for the corresponding strings s p s p+1 . . . s n and t p t p+1 . . . t m ; (4) when both s p and t p are found in the lookup table and v p <w p , determining that S is collated before T; (5) when both s p and t p are found in the lookup table and w p <v p , determining that T is collated before S; (6) when both s p and t p are found in the lookup table, v p =w p , and s p+1 . . . s n =t p+1 . . . t m , determining that S and T have the same collation position; and when both s p and t p are found in the lookup table, v p =w p , and s p+1 . . . s n ≠t p+1 . . . t m , determining the collation order of S and T recursively according to steps (1)-(6) using the suffix strings s p+1 . . . s n and t p+1 . . . t m .
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1. A method of collating text strings having Unicode encoding, comprising: at a computer having one or more processors, and memory storing one or more programs configured for execution by the one or more processors: receiving a first text string S=s 1 s 2 . . . s n having Unicode encoding and a second text string T=t 1 t 2 . . . t m having Unicode encoding, wherein n and m are positive integers, s 1 , s 2 , . . . , s n and t 1 , t 2 , . . . , t m are Unicode characters, and S is not identical to T; (1) identifying a positive integer p with s 1 =t 1 , s 2 =t 2 , . . . , s p−1 =t p−1 and s p ≠t p , wherein at least one of s p and t p is a non-ASCII character; (2) looking up the characters s p and t p in a predefined lookup table to determine a weight v p for the character s p and a weight w p for the character t p ; (3) when at least one of s p and t p is not found in the lookup table, determining the collation order of the strings S and T using Unicode weights for the corresponding strings s p s p+1 . . . s n and t p t p+1 . . . t m ; (4) when both s p and t p are found in the lookup table and v p <w p , determining that S is collated before T; (5) when both s p and t p are found in the lookup table and w p <v p , determining that T is collated before S; (6) when both s p and t p are found in the lookup table, v p =w p , and s p+1 . . . s n =t p+1 . . . t m , determining that S and T have the same collation position; and when both s p and t p are found in the lookup table, v p =w p , and s p+1 . . . s n ≠t p+1 . . . t m , determining the collation order of S and T recursively according to steps (1)-(6) using the suffix strings s p+1 . . . s n and t p+1 . . . t m . 3. The method of claim 1 , wherein each weight in the lookup table is encoded as a respective single byte.
| 0.928184 |
9,678,992 | 11 | 12 |
11. The system of claim 9 , wherein the instructions further configure the system to determine a number of available near-duplicate images associated with individual ones of the web based images.
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11. The system of claim 9 , wherein the instructions further configure the system to determine a number of available near-duplicate images associated with individual ones of the web based images. 12. The system of claim 11 , wherein the instructions further configure the system to rank the web based images based at least in part on the number of the available near-duplicate images associated with individual ones of the web images.
| 0.5 |
10,127,225 | 13 | 16 |
13. The computer program product as set forth in claim 9 wherein the extracting, identifying and abstracting are repeated for a plurality of different electronic texts, and wherein the method further comprises: aggregating user ratings from the same user across the different electronic texts; cross-referencing one or more elements across the different electronic texts to infer commonalities and distinctions; and inferring one or more literary elements the user is inclined to enjoy according to the aggregated user ratings according to the commonalities, or according to the distinctions, or according to both the commonalities and the distinctions; and designating one or more of the different electronic texts with a likely user rating.
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13. The computer program product as set forth in claim 9 wherein the extracting, identifying and abstracting are repeated for a plurality of different electronic texts, and wherein the method further comprises: aggregating user ratings from the same user across the different electronic texts; cross-referencing one or more elements across the different electronic texts to infer commonalities and distinctions; and inferring one or more literary elements the user is inclined to enjoy according to the aggregated user ratings according to the commonalities, or according to the distinctions, or according to both the commonalities and the distinctions; and designating one or more of the different electronic texts with a likely user rating. 16. The computer program product as set forth in claim 13 wherein the designating comprises dissuading against a different electronic text that the user is unlikely to prefer.
| 0.791667 |
8,180,647 | 8 | 14 |
8. A system comprising: a processor; and a non-transitory storage device storing instructions which, when executed by the processor, cause the processor to perform a method comprising: identifying a communicative goal in a speech input of a user; generating a plurality of sentence plans based on the communicative goal and a dialog history database, wherein each sentence plan of the plurality of sentence plans is a viable and potentially usable prompt in response to the speech input of the user; ranking the plurality of sentence plans to yield ranked sentence plans; and outputting at least one ranked sentence plan to yield an output sentence plan, wherein the output sentence plan provides a best sentence plan for generating a realization for the communicative goal from among the ranked sentence plans.
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8. A system comprising: a processor; and a non-transitory storage device storing instructions which, when executed by the processor, cause the processor to perform a method comprising: identifying a communicative goal in a speech input of a user; generating a plurality of sentence plans based on the communicative goal and a dialog history database, wherein each sentence plan of the plurality of sentence plans is a viable and potentially usable prompt in response to the speech input of the user; ranking the plurality of sentence plans to yield ranked sentence plans; and outputting at least one ranked sentence plan to yield an output sentence plan, wherein the output sentence plan provides a best sentence plan for generating a realization for the communicative goal from among the ranked sentence plans. 14. The system of claim 8 , wherein the communicative goal is generated using recognition and understanding data from an automated dialog system.
| 0.794618 |
8,027,977 | 14 | 15 |
14. A system for obtaining metadata related to a document, the system comprising: a plurality of documents, each document having metadata associated therewith, the metadata comprising at least one of a keyword and tag associated with the document; and a module configured to receive a new document apart from the plurality of documents, generate metadata for the new document, and associate the generated metadata with the new document using a processor, wherein the metadata is generated for the new document based on the metadata associated with one or more of the plurality of documents and based on a similarity score of the new document relative to each of the plurality of documents using a measure of similarity based on a weighting factor associated with each document of the plurality of documents.
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14. A system for obtaining metadata related to a document, the system comprising: a plurality of documents, each document having metadata associated therewith, the metadata comprising at least one of a keyword and tag associated with the document; and a module configured to receive a new document apart from the plurality of documents, generate metadata for the new document, and associate the generated metadata with the new document using a processor, wherein the metadata is generated for the new document based on the metadata associated with one or more of the plurality of documents and based on a similarity score of the new document relative to each of the plurality of documents using a measure of similarity based on a weighting factor associated with each document of the plurality of documents. 15. The document recommendation system of claim 14 wherein the metadata associated with the plurality of documents comprises keywords and wherein the module is configured to determine keywords for the new document based on decomposing at least one of the similarity scores.
| 0.556818 |
8,434,062 | 9 | 10 |
9. The system of claim 7 , wherein the processing element is further configured for exporting a mapping of the assigned unique graphical symbols and each respective textual name to a central repository.
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9. The system of claim 7 , wherein the processing element is further configured for exporting a mapping of the assigned unique graphical symbols and each respective textual name to a central repository. 10. The system of claim 9 , wherein the central repository comprises a voting system whereby users of the central repository can rate the unique graphical symbols.
| 0.5 |
9,444,772 | 7 | 9 |
7. A non-transitory computer-readable memory having instructions stored thereon, which, when executed by a processor, cause the processor to perform operations comprising: receiving a question from an asker in which the question is associated with one or more topics; selecting a plurality of candidate answerers based at least partly on each candidate answerer's respective social relationship to the asker within a computer-implemented social network; determining a respective wait time for each candidate answerer in the plurality of candidate answerers, where the respective wait time is based on one or more of a respective communication channel used by the candidate answerer and a historical responsiveness of the candidate answerer for the respective communication channel, wherein the respective communication channel comprising one of an instant message, an electronic mail, a blog post, and a short message service message; selecting a first candidate answerer based on a ranking of the plurality of candidate answerers; sending the question to the first candidate answerer of the plurality of candidate answerers through the respective communication channel of the first candidate answerer; determining that the respective wait time of the first candidate answerer for a first answer from the first candidate answerer has expired without receiving the first answer, and in response: selecting a second candidate answerer based on the ranking of the plurality of candidate answerers, and sending the question to the second candidate answerer of the plurality of candidate answerers through the respective communication channel of the second candidate answerer; receiving a second answer to the question from the second candidate answerer; and sending the second answer to the asker and information that identifies the second answerer.
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7. A non-transitory computer-readable memory having instructions stored thereon, which, when executed by a processor, cause the processor to perform operations comprising: receiving a question from an asker in which the question is associated with one or more topics; selecting a plurality of candidate answerers based at least partly on each candidate answerer's respective social relationship to the asker within a computer-implemented social network; determining a respective wait time for each candidate answerer in the plurality of candidate answerers, where the respective wait time is based on one or more of a respective communication channel used by the candidate answerer and a historical responsiveness of the candidate answerer for the respective communication channel, wherein the respective communication channel comprising one of an instant message, an electronic mail, a blog post, and a short message service message; selecting a first candidate answerer based on a ranking of the plurality of candidate answerers; sending the question to the first candidate answerer of the plurality of candidate answerers through the respective communication channel of the first candidate answerer; determining that the respective wait time of the first candidate answerer for a first answer from the first candidate answerer has expired without receiving the first answer, and in response: selecting a second candidate answerer based on the ranking of the plurality of candidate answerers, and sending the question to the second candidate answerer of the plurality of candidate answerers through the respective communication channel of the second candidate answerer; receiving a second answer to the question from the second candidate answerer; and sending the second answer to the asker and information that identifies the second answerer. 9. The computer-readable medium of claim 7 , further comprising: determining that a quality of a social match between the asker and a candidate answerer in the plurality of candidate answerers satisfies a quality score; and determining the respective wait time of the candidate answerer based on the quality score.
| 0.756589 |
8,726,151 | 9 | 12 |
9. A non-transitory computer-readable storage medium coupled to one or more processors having instructions stored thereon which, when executed by the one or more processors, cause the one or more processors to perform operations to compare a first structured data document to a second structured data document, the operations comprising: receiving the first and second structured data documents as first and second encrypted documents, respectively, the first and second encrypted documents being transmitted from a remote computing device over a network, structure and content of each of the first and second encrypted documents being encrypted using encrypted integer labels (EBOL), wherein encrypting the first and second structured data documents comprises, for each node of each of the first and second structured data documents: assigning an integer pair comprising a unique identifier and a depth of the node, encrypting the integer pair to provide an encrypted integer pair, and encrypting structure encoding information of the node, comparing nodes of the first encrypted document to nodes of the second encrypted document, a content and a location of each of the nodes remaining confidential during the comparing; generating matched pairs of nodes based on the comparing, and storing the matched pairs in computer memory, each matched pair comprising a node of the first encrypted document and a corresponding node of the second encrypted document; determining one or more edit operations based on the matched pairs; and generating an edit script comprising the one or more edit operations, the edit script being executable by one or more processors to transform the first encrypted document to provide a transformed encrypted document that is isomorphic to the second encrypted document.
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9. A non-transitory computer-readable storage medium coupled to one or more processors having instructions stored thereon which, when executed by the one or more processors, cause the one or more processors to perform operations to compare a first structured data document to a second structured data document, the operations comprising: receiving the first and second structured data documents as first and second encrypted documents, respectively, the first and second encrypted documents being transmitted from a remote computing device over a network, structure and content of each of the first and second encrypted documents being encrypted using encrypted integer labels (EBOL), wherein encrypting the first and second structured data documents comprises, for each node of each of the first and second structured data documents: assigning an integer pair comprising a unique identifier and a depth of the node, encrypting the integer pair to provide an encrypted integer pair, and encrypting structure encoding information of the node, comparing nodes of the first encrypted document to nodes of the second encrypted document, a content and a location of each of the nodes remaining confidential during the comparing; generating matched pairs of nodes based on the comparing, and storing the matched pairs in computer memory, each matched pair comprising a node of the first encrypted document and a corresponding node of the second encrypted document; determining one or more edit operations based on the matched pairs; and generating an edit script comprising the one or more edit operations, the edit script being executable by one or more processors to transform the first encrypted document to provide a transformed encrypted document that is isomorphic to the second encrypted document. 12. The computer-readable storage medium of claim 9 , wherein determining one or more edit operations comprises: determining that a node of the second encrypted document is absent from the matched pairs; generating an insert operation to insert the node; and adding the insert operation to the edit script.
| 0.7 |
7,558,748 | 7 | 12 |
7. A system adaptively rendering, to users of a computer network application, a plurality of content pages generated dynamically from a plurality of content objects compiled by an author of the application, the system comprising: a processor comprising: (a) a user database compiling individual and aggregate user profile data and observed user behavioral data; (b) a content database compiling a hierarchy of content objects, including primitive objects, content elements containing a plurality of primitive objects, content pages containing a plurality of content elements and primitive objects, and user scenarios containing a plurality of content pages; (c) an application builder facilitating the author's creation of a rule effecting author-defined scenarios based at least in part on dynamic data from the user database, that dynamically selects subsets of users to receive subsets of content objects, the rule having a parameter that is resolved only dynamically at runtime, wherein a navigation map initially defines the set of possible paths among the various pages within the author-defined scenarios; and (d) a dynamic content composition engine for dynamically interpreting the rule to render content pages, the content pages including a first subset of content objects delivered over the network to a first subset of users, and a second subset of content objects delivered over the network to a second subset of users, wherein a plurality of templates are selected dynamically based on the interpretation of the rule to determine the size and location of the dynamically selected content objects.
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7. A system adaptively rendering, to users of a computer network application, a plurality of content pages generated dynamically from a plurality of content objects compiled by an author of the application, the system comprising: a processor comprising: (a) a user database compiling individual and aggregate user profile data and observed user behavioral data; (b) a content database compiling a hierarchy of content objects, including primitive objects, content elements containing a plurality of primitive objects, content pages containing a plurality of content elements and primitive objects, and user scenarios containing a plurality of content pages; (c) an application builder facilitating the author's creation of a rule effecting author-defined scenarios based at least in part on dynamic data from the user database, that dynamically selects subsets of users to receive subsets of content objects, the rule having a parameter that is resolved only dynamically at runtime, wherein a navigation map initially defines the set of possible paths among the various pages within the author-defined scenarios; and (d) a dynamic content composition engine for dynamically interpreting the rule to render content pages, the content pages including a first subset of content objects delivered over the network to a first subset of users, and a second subset of content objects delivered over the network to a second subset of users, wherein a plurality of templates are selected dynamically based on the interpretation of the rule to determine the size and location of the dynamically selected content objects. 12. The system of claim 7 wherein subsequent content pages are pre-fetched and delivered to a user's web browser while the user is viewing a current content page, and such pre-fetching is based on the user's profile and observed behavioral data.
| 0.5 |
10,127,913 | 35 | 63 |
35. A method of encoding of syntactic elements of a data stream, wherein: before beginning of encoding of the data stream, cells of all context models are initialized with predefined values, so that each context model contains in each cell thereof data on a probability and a counter of a context occurrence number, a number of the cells stored in each context model is selected to be not less than a number of all possible states of context elements associated with a respective context model, and in the process of encoding of at least a portion of bits of the data stream: a group of context models is selected that comprises at least two context models of different size; values of at least two context elements associated the selected group of context models are calculated; selection of the cells in context models is carried out using values of the context elements associated with the respective context model; one context model is selected from the group of context models using values of individual counters of a context occurrence number stored in the selected cells; the data on the probability is extracted from the selected cell of the selected context model, which data is used for entropy encoding of a current bit of the data stream, and/or for selecting a mode of writing encoded bits into the data stream directly; data in the selected cell of the selected context model as well as in all the context models of the group of context models, which have a size greater than that of the selected context model, is updated; and a procedure of probability inheritance from the selected context model is carried out in respect of the selected cells of those context models of the group of context models for which predefined inheritance criteria are met.
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35. A method of encoding of syntactic elements of a data stream, wherein: before beginning of encoding of the data stream, cells of all context models are initialized with predefined values, so that each context model contains in each cell thereof data on a probability and a counter of a context occurrence number, a number of the cells stored in each context model is selected to be not less than a number of all possible states of context elements associated with a respective context model, and in the process of encoding of at least a portion of bits of the data stream: a group of context models is selected that comprises at least two context models of different size; values of at least two context elements associated the selected group of context models are calculated; selection of the cells in context models is carried out using values of the context elements associated with the respective context model; one context model is selected from the group of context models using values of individual counters of a context occurrence number stored in the selected cells; the data on the probability is extracted from the selected cell of the selected context model, which data is used for entropy encoding of a current bit of the data stream, and/or for selecting a mode of writing encoded bits into the data stream directly; data in the selected cell of the selected context model as well as in all the context models of the group of context models, which have a size greater than that of the selected context model, is updated; and a procedure of probability inheritance from the selected context model is carried out in respect of the selected cells of those context models of the group of context models for which predefined inheritance criteria are met. 63. The method of encoding according to claim 35 , wherein at least one syntactic element, depending on a value of at least one context element associated therewith, and/or depending on values of the probability calculated, and/or depending on a value of an individual counter of context occurrence number, is written into the data stream directly, bypassing the step of encoding.
| 0.597458 |
9,569,201 | 2 | 3 |
2. The method according to claim 1 comprising determining the allowable values of the attributes by applying one or more validation rules.
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2. The method according to claim 1 comprising determining the allowable values of the attributes by applying one or more validation rules. 3. The method according to claim 2 wherein the validation rules determine allowable values of an attribute name by specifying at least one pattern for the attribute values.
| 0.547368 |
8,610,723 | 7 | 8 |
7. The computer readable storage device of claim 1 , wherein the articulated body portions comprise a palm and fingers of a hand, and the method performed further comprises: evaluating an extent to which collision constraints are violated in the model by at least two adjacent fingers of the model; and adjusting the model in an attempt to satisfy the collision constraints, including adjusting dimensions of at least one of the two adjacent fingers of the model based on the extent to which the collision constraints are violated by the at least one of the two adjacent fingers of the model.
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7. The computer readable storage device of claim 1 , wherein the articulated body portions comprise a palm and fingers of a hand, and the method performed further comprises: evaluating an extent to which collision constraints are violated in the model by at least two adjacent fingers of the model; and adjusting the model in an attempt to satisfy the collision constraints, including adjusting dimensions of at least one of the two adjacent fingers of the model based on the extent to which the collision constraints are violated by the at least one of the two adjacent fingers of the model. 8. The computer readable storage device of claim 7 , wherein: the adjusting the model in the attempt to satisfy the collision constraints comprises decreasing a width of the at least one of the two adjacent fingers of the model based on the extent to which the collision constraints are violated by the at least one of the two adjacent fingers of the model.
| 0.5 |
4,214,125 | 85 | 86 |
85. The combination of claim 81 wherein said compressed information time domain signals and said instruction signals comprise X period zeroed representations of said original time domain signals, wherein X is a fraction in the range from 1/4 to 3/4.
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85. The combination of claim 81 wherein said compressed information time domain signals and said instruction signals comprise X period zeroed representations of said original time domain signals, wherein X is a fraction in the range from 1/4 to 3/4. 86. The combination of claim 85 wherein X is 1/2.
| 0.5 |
8,160,879 | 1 | 6 |
1. A computer-implemented method of enhancing speech recognition accuracy, the method comprising: dividing a system dialog turn into segments based on timing of probable user responses; generating a weighted grammar for each segment; exclusively activating the weighted grammar generated for a respective segment of the dialog turn during the respective segment of the dialog turn; and recognizing user speech received during the respective segment using the activated weighted grammar generated for the respective segment.
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1. A computer-implemented method of enhancing speech recognition accuracy, the method comprising: dividing a system dialog turn into segments based on timing of probable user responses; generating a weighted grammar for each segment; exclusively activating the weighted grammar generated for a respective segment of the dialog turn during the respective segment of the dialog turn; and recognizing user speech received during the respective segment using the activated weighted grammar generated for the respective segment. 6. The computer-implemented method of claim 1 , wherein the weighted grammar is based on one or more expected probable user response.
| 0.797872 |
8,477,095 | 30 | 31 |
30. The pen based computer system of claim 29 wherein: said audio content comprises audio corresponding to said printed words of said first children's book; wherein said pen based computer system is further capable of continuously producing audio output corresponding to a reading of substantially all of the printed words of said first children's book by selection of a symbol printed on said first children's book.
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30. The pen based computer system of claim 29 wherein: said audio content comprises audio corresponding to said printed words of said first children's book; wherein said pen based computer system is further capable of continuously producing audio output corresponding to a reading of substantially all of the printed words of said first children's book by selection of a symbol printed on said first children's book. 31. The pen based computer system of claim 30 wherein said memory is further capable of storing audio content corresponding to a second children's book.
| 0.744108 |
8,781,812 | 7 | 9 |
7. A method to identify spoken words in a human language with a language identification engine, comprising: receiving an audio stream; identifying, by a universal phoneme decoder, phonemes in the audio stream in each of two or more languages; generating as an output from the universal phoneme decoder one or more streams of identified phonemes for each of the two or more languages with an associated confidence rating on an accuracy of the identification of the language for each stream, wherein the streams include a first stream of phonemes from the identified phonemes for a first of the two or more languages, and a second stream of phonemes from the identified phonemes for a second of the two or more languages; and identifying a most likely particular human language being spoken in the received audio stream in the one or more streams of phonemes outputted from the universal phoneme decoder based on a set of unique phoneme patterns created for each language by the universal phoneme decoder and the confidence ratings.
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7. A method to identify spoken words in a human language with a language identification engine, comprising: receiving an audio stream; identifying, by a universal phoneme decoder, phonemes in the audio stream in each of two or more languages; generating as an output from the universal phoneme decoder one or more streams of identified phonemes for each of the two or more languages with an associated confidence rating on an accuracy of the identification of the language for each stream, wherein the streams include a first stream of phonemes from the identified phonemes for a first of the two or more languages, and a second stream of phonemes from the identified phonemes for a second of the two or more languages; and identifying a most likely particular human language being spoken in the received audio stream in the one or more streams of phonemes outputted from the universal phoneme decoder based on a set of unique phoneme patterns created for each language by the universal phoneme decoder and the confidence ratings. 9. The method of claim 7 , further comprising: converting the received audio stream into time coded feature frames for language identification, recognizing, by the universal phoneme decoder, the time coded feature frames as a sequence of phonemes, together with start/end time associated with each feature frame, and identifying, by the universal phoneme detector, the phonemes uttered in each of the two or more languages.
| 0.611927 |
9,659,051 | 18 | 19 |
18. The method of claim 17 , wherein the class-specific stored procedure is generated by an initialization module, the initialization module being configured to: use the referential integrity metadata framework to automatically create the table in the relational database system, the table including a column for the identifying attribute, a column for the relationship attribute, and a column for the object data document; and use the referential integrity metadata framework to automatically create referential integrity structures for the table in the relational database system.
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18. The method of claim 17 , wherein the class-specific stored procedure is generated by an initialization module, the initialization module being configured to: use the referential integrity metadata framework to automatically create the table in the relational database system, the table including a column for the identifying attribute, a column for the relationship attribute, and a column for the object data document; and use the referential integrity metadata framework to automatically create referential integrity structures for the table in the relational database system. 19. The method of claim 18 , wherein the referential integrity structures include foreign keys and database triggers.
| 0.61 |
9,444,711 | 1 | 3 |
1. An apparatus for providing content to a network browser based on a reported latency comprising: a memory operative to store an item of content for a web page; and a processor operative to: receive a latency measurement from the web browser or a plug-in of the web browser, the latency measurement being based on an amount of time that has passed between two network browser events, whether or not the network browser was using more than one window to display information between the two events, and a type of action that resulted in the network browser transitioning its display between the two events; and modify data associated with the item of content for the web page with a different form of the data to account for the received latency measurement.
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1. An apparatus for providing content to a network browser based on a reported latency comprising: a memory operative to store an item of content for a web page; and a processor operative to: receive a latency measurement from the web browser or a plug-in of the web browser, the latency measurement being based on an amount of time that has passed between two network browser events, whether or not the network browser was using more than one window to display information between the two events, and a type of action that resulted in the network browser transitioning its display between the two events; and modify data associated with the item of content for the web page with a different form of the data to account for the received latency measurement. 3. The apparatus of claim 1 , wherein: the item of content is of a first complexity; the memory is further operative to store a second item of content of a second complexity that is less complex than the first complexity; and the processor is operative to modify the item of content by replacing the item of content with the second item of content.
| 0.5 |
7,506,302 | 1 | 5 |
1. A method of providing closed-loop analysis of a business process, the method performed by a computer-based process management subsystem of an enterprise system, the method comprising: in response to user input, selectively communicating with each of a plurality of commercial off-the-shelf software (COTS) products including at least one COTS flowcharting tool, at least one COTS simulator, at least one COTS project management tool, and at least one COTS workflow management tool, the selective communicating performable via application programming interfaces (APIs) implemented between the process management subsystem and each COTS product; making a plurality of modeling stencils available on a graphical display via one of the at least one COTS flowcharting tool, at least some of the stencils representing modeling diagram objects selectable by a user of the display to compose and display one or more extended modeling diagrams, including one or more activity diagrams, representing the business process, the modeling diagrams extended so as to be independent of proprietary tools and protocols of the plurality of COTS products; in response to user input via one or more simulation stencils made available on the display via one of the at least one COTS flowcharting tool, using one or more simulation objects represented by simulation stencils selected by a user of the display to extend a user-selected one of the one or more activity diagrams to obtain a simulation model that is independent of proprietary tools and protocols of the COTS products, and delivering the simulation model via one of the APIs to one of the at least one COTS simulator for performance of simulation; in response to user input via one of the at least one COTS flowcharting tool, generating activity duration data based on simulation output received from the at least one COTS simulator, and sending the duration data to one of the at least one COTS project management tool; and in response to user input, providing abstractions of workflow and project management for use in one or more user-selected implementations of the selected activity diagram via the at least one COTS workflow management tool and via the at least one COTS project management tool.
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1. A method of providing closed-loop analysis of a business process, the method performed by a computer-based process management subsystem of an enterprise system, the method comprising: in response to user input, selectively communicating with each of a plurality of commercial off-the-shelf software (COTS) products including at least one COTS flowcharting tool, at least one COTS simulator, at least one COTS project management tool, and at least one COTS workflow management tool, the selective communicating performable via application programming interfaces (APIs) implemented between the process management subsystem and each COTS product; making a plurality of modeling stencils available on a graphical display via one of the at least one COTS flowcharting tool, at least some of the stencils representing modeling diagram objects selectable by a user of the display to compose and display one or more extended modeling diagrams, including one or more activity diagrams, representing the business process, the modeling diagrams extended so as to be independent of proprietary tools and protocols of the plurality of COTS products; in response to user input via one or more simulation stencils made available on the display via one of the at least one COTS flowcharting tool, using one or more simulation objects represented by simulation stencils selected by a user of the display to extend a user-selected one of the one or more activity diagrams to obtain a simulation model that is independent of proprietary tools and protocols of the COTS products, and delivering the simulation model via one of the APIs to one of the at least one COTS simulator for performance of simulation; in response to user input via one of the at least one COTS flowcharting tool, generating activity duration data based on simulation output received from the at least one COTS simulator, and sending the duration data to one of the at least one COTS project management tool; and in response to user input, providing abstractions of workflow and project management for use in one or more user-selected implementations of the selected activity diagram via the at least one COTS workflow management tool and via the at least one COTS project management tool. 5. The method of claim 1 , wherein the selected activity diagram is implemented in the at least one workflow management tool and/or the at least one project management tool independent of proprietary tools and Protocols of the COTS products.
| 0.704657 |
9,361,504 | 1 | 2 |
1. An optical information reading device, comprising: a computation means for adding widths of 2 elements through n elements, the 2 elements containing a bar and a space that are adjacent within one character, wherein n is greater than 2, the n greater than 2 elements containing two or more bars and one or more spaces and one or more bars and two or more spaces that are adjacent within one character to derive respective 2- through n-element added widths and for converting each of the 2- through n-element added widths into the module number for one character to derive an actual measurement value of the module numbers of the 2- through n-element added widths; an extraction means for narrowing down target characters wherein each of errors between the actual measurement value and an ideal value of the module number for all the 1-element and the 2- through n-element added widths derived by said computation means is equal to or less than 1, to extract candidate characters; and a search means for searching the one candidate character having the minimum of the summed errors as the readout decode result.
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1. An optical information reading device, comprising: a computation means for adding widths of 2 elements through n elements, the 2 elements containing a bar and a space that are adjacent within one character, wherein n is greater than 2, the n greater than 2 elements containing two or more bars and one or more spaces and one or more bars and two or more spaces that are adjacent within one character to derive respective 2- through n-element added widths and for converting each of the 2- through n-element added widths into the module number for one character to derive an actual measurement value of the module numbers of the 2- through n-element added widths; an extraction means for narrowing down target characters wherein each of errors between the actual measurement value and an ideal value of the module number for all the 1-element and the 2- through n-element added widths derived by said computation means is equal to or less than 1, to extract candidate characters; and a search means for searching the one candidate character having the minimum of the summed errors as the readout decode result. 2. The optical information reading device according to claim 1 wherein said computation means adds the widths of the elements containing the bars and spaces of the characters before and after the target character when deriving each of the 2- through n-element added widths of the target character.
| 0.713873 |
7,961,943 | 1 | 33 |
1. A method for revising an electronic revisable-form document of a computer-based application comprising: providing a set of computer executable edit operations for the computer-based application, the computer executable edit operations being responsive to selected handwritten symbols; providing a positional input receiving mechanism to accept handwritten input; accepting from the positional input receiving mechanism selected handwritten input as handwritten symbols within the selected handwritten symbols and as positional locations, and storing a representation of the selected handwritten input at data locations of a memory device; recognizing one or more of the accepted handwritten symbols as elementary units defining embeddable revisions, one or more of the embeddable revisions being operable to cause a change in the electronic revisable-form document; associating the elementary units defining embeddable revisions with selected computer executable edit operations within the computer executable edit operations, the selected computer executable edit operations having direct access to selected revision locations in the electronic revisable-form document; identifying relevant insertion locations associated with the selected computer executable edit operations based upon the selected computer executable edit operations and the accepted handwritten symbols associated with the selected computer executable edit operations; computing values of revision locations within the selected revision locations, said values being computed based on the one or more of the accepted handwritten symbols and the identified relevant insertion locations associated with the one or more of the accepted handwritten symbols; converting the embeddable revisions and the computed revision locations communicated by the selected handwritten input associated with selected elementary units within the elementary units defining embeddable revisions into one or more machine executable processes that interface between a) the selected elementary units and said computed revision locations associated with the selected elementary units and b) one or more of the selected computer executable edit operations associated with the selected elementary units and having direct access to the computed revision locations associated with the selected elementary units; and executing said one or more machine executable processes to embed the embeddable revisions defined by the selected elementary units into the electronic revisable-form document at said computed revision locations associated with the selected elementary units in a format supported by the computer-based application.
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1. A method for revising an electronic revisable-form document of a computer-based application comprising: providing a set of computer executable edit operations for the computer-based application, the computer executable edit operations being responsive to selected handwritten symbols; providing a positional input receiving mechanism to accept handwritten input; accepting from the positional input receiving mechanism selected handwritten input as handwritten symbols within the selected handwritten symbols and as positional locations, and storing a representation of the selected handwritten input at data locations of a memory device; recognizing one or more of the accepted handwritten symbols as elementary units defining embeddable revisions, one or more of the embeddable revisions being operable to cause a change in the electronic revisable-form document; associating the elementary units defining embeddable revisions with selected computer executable edit operations within the computer executable edit operations, the selected computer executable edit operations having direct access to selected revision locations in the electronic revisable-form document; identifying relevant insertion locations associated with the selected computer executable edit operations based upon the selected computer executable edit operations and the accepted handwritten symbols associated with the selected computer executable edit operations; computing values of revision locations within the selected revision locations, said values being computed based on the one or more of the accepted handwritten symbols and the identified relevant insertion locations associated with the one or more of the accepted handwritten symbols; converting the embeddable revisions and the computed revision locations communicated by the selected handwritten input associated with selected elementary units within the elementary units defining embeddable revisions into one or more machine executable processes that interface between a) the selected elementary units and said computed revision locations associated with the selected elementary units and b) one or more of the selected computer executable edit operations associated with the selected elementary units and having direct access to the computed revision locations associated with the selected elementary units; and executing said one or more machine executable processes to embed the embeddable revisions defined by the selected elementary units into the electronic revisable-form document at said computed revision locations associated with the selected elementary units in a format supported by the computer-based application. 33. The method according to claim 1 further comprising: accepting selected command data; storing said selected command data at a data location of a memory device; associating said selected command data with an elementary unit of command data; and associating the elementary unit of command data with said an elementary unit defining an embeddable revision.
| 0.664151 |
8,160,991 | 16 | 19 |
16. A method performed by a set of servers for estimating a country in which a computing device operates, the method comprising: receiving, from the computing device, system setting information of the computing device that does not expressly identify the country in which the computing device operates; using the system setting information to identify a particular country as the country in which the computing device operates; and identifying, from a set of data associated with a plurality of countries, a subset of data that is associated with the identified particular country by excluding data that is not associated with the particular country from the set of data.
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16. A method performed by a set of servers for estimating a country in which a computing device operates, the method comprising: receiving, from the computing device, system setting information of the computing device that does not expressly identify the country in which the computing device operates; using the system setting information to identify a particular country as the country in which the computing device operates; and identifying, from a set of data associated with a plurality of countries, a subset of data that is associated with the identified particular country by excluding data that is not associated with the particular country from the set of data. 19. The method of claim 16 , wherein the set of data comprises a set of data formats that are associated with different countries in the plurality of countries, wherein the subset of data comprises only data formats that are available in the identified particular country.
| 0.5 |
6,052,662 | 1 | 2 |
1. A computer implemented method for compact speech representation comprising the steps of: (a) initializing parameters of a probabilistic mapping between codes that represent speech sounds and a continuity map; (b) training the parameters of the probabilistic mapping, comprising the steps of: (1) inputting a first set of training speech sounds; (2) representing the first set of training speech sounds as a temporal sequence of the codes; (3) defining a first path through the continuity map for the sequence of codes, where the probablistic mapping defines a conditional probability of the sequence of codes given the first path; (4) finding a smooth path through the continuity map that maximizes the conditional probability of the sequence of codes; (5) repeating steps (b)(1)-(b)(4) over additional training speech sounds: (6) given the smooth paths that represent the sets of training speech sounds, adjusting the probabilistic mapping parameters to increase the conditional probability of the sequences of the codes; (c) inputting a new set of speech sounds; (d) representing the new set of speech sounds by a related sequence of the codes; (e) determining a new smooth path through the continuity map that maximizes the conditional probability of the sequence of codes given the new smooth path; and (f) outputting the continuity map coordinates of the most probable smooth path determined in step (e) as the compact representation of the new set of speech sounds.
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1. A computer implemented method for compact speech representation comprising the steps of: (a) initializing parameters of a probabilistic mapping between codes that represent speech sounds and a continuity map; (b) training the parameters of the probabilistic mapping, comprising the steps of: (1) inputting a first set of training speech sounds; (2) representing the first set of training speech sounds as a temporal sequence of the codes; (3) defining a first path through the continuity map for the sequence of codes, where the probablistic mapping defines a conditional probability of the sequence of codes given the first path; (4) finding a smooth path through the continuity map that maximizes the conditional probability of the sequence of codes; (5) repeating steps (b)(1)-(b)(4) over additional training speech sounds: (6) given the smooth paths that represent the sets of training speech sounds, adjusting the probabilistic mapping parameters to increase the conditional probability of the sequences of the codes; (c) inputting a new set of speech sounds; (d) representing the new set of speech sounds by a related sequence of the codes; (e) determining a new smooth path through the continuity map that maximizes the conditional probability of the sequence of codes given the new smooth path; and (f) outputting the continuity map coordinates of the most probable smooth path determined in step (e) as the compact representation of the new set of speech sounds. 2. A method according to claim 1, wherein the smooth path is constrained to paths that satisfy selected biologically plausible constraints for producing the speech sounds.
| 0.5 |
8,166,032 | 11 | 12 |
11. The method of claim 1 , wherein the query string is a document having a document publication date and comprises of a plurality of document terms and assessing the sentimentality of the a query string, by the computer, by comparing a representation of the query string for semantic similarity to the region of sentimental significance in the document sentiment vector space further comprises: creating a query term vector as the representation of the query string for the query string from a vector sum of query term vectors from a term-by-concepts matrix, for each of the plurality of terms co-occurring in the query string and the term-by concepts matrix; and comparing the query term vector for semantic similarity to the region of sentimental significance in the document sentiment vector space.
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11. The method of claim 1 , wherein the query string is a document having a document publication date and comprises of a plurality of document terms and assessing the sentimentality of the a query string, by the computer, by comparing a representation of the query string for semantic similarity to the region of sentimental significance in the document sentiment vector space further comprises: creating a query term vector as the representation of the query string for the query string from a vector sum of query term vectors from a term-by-concepts matrix, for each of the plurality of terms co-occurring in the query string and the term-by concepts matrix; and comparing the query term vector for semantic similarity to the region of sentimental significance in the document sentiment vector space. 12. The method of claim 11 , further comprises: quantizing, by the computer, a sentiment score for the sentimental significance of the query string to the particular topic based on the semantic similarity of the representation of the query string to the region of sentimental significance in the document sentiment vector space, wherein the sentiment score being indicative of the sentimental significance of a contemporaneous publication toward the particular topic.
| 0.5 |
8,205,233 | 2 | 3 |
2. The method of claim 1 wherein the user typed search request may be modified when the performing step is on-going.
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2. The method of claim 1 wherein the user typed search request may be modified when the performing step is on-going. 3. The method of claim 2 , wherein the program description comprising at least one of the following information about the program: star, director, rating, and plot.
| 0.5 |
9,158,507 | 13 | 14 |
13. The system of claim 10 wherein the graphical language elements comprise: canvases that define an area of a display with specific dimensions; and second marks that represent a part of a displayed image relative to an associated canvas, each second mark having an associated reference position relative to the associated canvas, such that the graphical language describes a layout of elements of the graphical language document.
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13. The system of claim 10 wherein the graphical language elements comprise: canvases that define an area of a display with specific dimensions; and second marks that represent a part of a displayed image relative to an associated canvas, each second mark having an associated reference position relative to the associated canvas, such that the graphical language describes a layout of elements of the graphical language document. 14. The system of claim 13 wherein the concrete language further comprises: a second control specifying a continuation string to be placed at each line where a break occurs; and a first control organizer that defines a scope associated with the second control.
| 0.5 |
8,583,284 | 1 | 6 |
1. A decision making mechanism of an active perception module of a robot, the active perception module including at least one processing unit executing one or more instructions from a non-transitory machine-readable medium, said decision making mechanism being operable to decide on at least one prospective action of a robot from a set of actions of said robot by: the active perception module computing a prior probabilistic representation of a prior environment state; the active perception module updating of said prior probabilistic representation with targets of a new observation following the at least one prospective action after an action period, the action period comprising a period for incorporating an action observation pair into an update of an environment state, thereby reducing at least one uncertainty in a posterior probabilistic representation of a posterior environment state to be reached after an appliance of said at least one prospective action, wherein said posterior probabilistic representation is a probabilistic representation resulting from said updating; the active perception module determining an information gain between said prior probabilistic representation and said posterior probabilistic representation by use of at least one information theoretic measure; and the active perception module evaluating said at least one prospective action by estimating the costs of executing said at least one prospective action during the action period and estimating said information gain at the end of the action period.
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1. A decision making mechanism of an active perception module of a robot, the active perception module including at least one processing unit executing one or more instructions from a non-transitory machine-readable medium, said decision making mechanism being operable to decide on at least one prospective action of a robot from a set of actions of said robot by: the active perception module computing a prior probabilistic representation of a prior environment state; the active perception module updating of said prior probabilistic representation with targets of a new observation following the at least one prospective action after an action period, the action period comprising a period for incorporating an action observation pair into an update of an environment state, thereby reducing at least one uncertainty in a posterior probabilistic representation of a posterior environment state to be reached after an appliance of said at least one prospective action, wherein said posterior probabilistic representation is a probabilistic representation resulting from said updating; the active perception module determining an information gain between said prior probabilistic representation and said posterior probabilistic representation by use of at least one information theoretic measure; and the active perception module evaluating said at least one prospective action by estimating the costs of executing said at least one prospective action during the action period and estimating said information gain at the end of the action period. 6. The decision making mechanism according to claim 1 , wherein said decision making mechanism is configured to perform said updating in a Bayes filter.
| 0.807107 |
7,865,364 | 1 | 4 |
1. A method for performing recognition of speech in reply to a prompt, the method comprising: storing a data set, in a dialog manager module, the data set including a plurality of information items and a corresponding set of one or more improbable values for each of the plurality of information items, the one or more improbable values for each of the plurality of information items comprising one or more values that are not valid for the information item based on a context of the prompt; receiving a plurality of recognized ordered interpretations from an automatic speech recognition (ASR) engine, the plurality of recognized ordered interpretations each including a plurality of received information items; and comparing a value of one of the plurality of received information items for a first recognized ordered interpretation to the data set to determine if the value of the one of the received information items matches any of the set of one or more improbable values for the information item.
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1. A method for performing recognition of speech in reply to a prompt, the method comprising: storing a data set, in a dialog manager module, the data set including a plurality of information items and a corresponding set of one or more improbable values for each of the plurality of information items, the one or more improbable values for each of the plurality of information items comprising one or more values that are not valid for the information item based on a context of the prompt; receiving a plurality of recognized ordered interpretations from an automatic speech recognition (ASR) engine, the plurality of recognized ordered interpretations each including a plurality of received information items; and comparing a value of one of the plurality of received information items for a first recognized ordered interpretation to the data set to determine if the value of the one of the received information items matches any of the set of one or more improbable values for the information item. 4. The method of claim 1 , further including deleting the first recognized ordered interpretation if the value of the one of the received information items matches a value of any of the set of one or more improbable values for the corresponding information item.
| 0.691038 |
8,392,441 | 1 | 3 |
1. A system comprising: one or more processors; and a computer-readable storage device storing instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising: receiving a query submitted by a user to a search engine, wherein the query includes a first compound term; and in response to receiving the query, performing the following operations: generating one or more splits of the first compound term, wherein each split divides the compound term into two or more subterms, wherein at least one subterm is a term in a dictionary that associates terms with scores derived from a respective frequency of use of the subterm; assigning a score to one or more subterms of each split that are in the dictionary, wherein the score for a subterm is the score stored in the dictionary for the subterm; determining an overall score for each split from the scores for the subterms of the split; selecting a first split from the one or more splits according to the overall score for each split; and augmenting the query with a first synonym phrase, wherein the first synonym phrase is a synonym of a first subterm of the first split.
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1. A system comprising: one or more processors; and a computer-readable storage device storing instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising: receiving a query submitted by a user to a search engine, wherein the query includes a first compound term; and in response to receiving the query, performing the following operations: generating one or more splits of the first compound term, wherein each split divides the compound term into two or more subterms, wherein at least one subterm is a term in a dictionary that associates terms with scores derived from a respective frequency of use of the subterm; assigning a score to one or more subterms of each split that are in the dictionary, wherein the score for a subterm is the score stored in the dictionary for the subterm; determining an overall score for each split from the scores for the subterms of the split; selecting a first split from the one or more splits according to the overall score for each split; and augmenting the query with a first synonym phrase, wherein the first synonym phrase is a synonym of a first subterm of the first split. 3. The system of claim 1 , wherein generating one or more splits of the first compound term comprises incrementally analyzing prefixes of increasing length of the first compound term to identify subterms of the prefixes that appear in the dictionary.
| 0.5 |
5,555,367 | 11 | 15 |
11. A system according to claim 10, wherein the a series of transformation performed in the performing means includes operations such as retain, duplicate, merge, constrain, and restrict.
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11. A system according to claim 10, wherein the a series of transformation performed in the performing means includes operations such as retain, duplicate, merge, constrain, and restrict. 15. A system according to claim 11, wherein the constrain operation includes expressing a constraint between instances of two specified classes from the query.
| 0.535088 |
8,984,165 | 9 | 10 |
9. A system comprising: a memory; and a processing device coupled to the memory to: wrap text in a markup language file with directives of a web server type page; identify an internal link in the markup language file using regular expression pattern matching, the internal link comprising a markup language extension; and convert the internal link into a web server type page link by replacing the markup language extension with a web server type page extension.
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9. A system comprising: a memory; and a processing device coupled to the memory to: wrap text in a markup language file with directives of a web server type page; identify an internal link in the markup language file using regular expression pattern matching, the internal link comprising a markup language extension; and convert the internal link into a web server type page link by replacing the markup language extension with a web server type page extension. 10. The system of claim 9 , wherein the markup language is hypertext markup language (HTML).
| 0.861862 |
8,055,672 | 6 | 7 |
6. The apparatus of claim 5 further comprising a third window that displays results of executing the query.
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6. The apparatus of claim 5 further comprising a third window that displays results of executing the query. 7. The apparatus of claim 6 wherein a number of rows that satisfy the query are displayed in the third window.
| 0.5 |
8,781,863 | 5 | 8 |
5. An apparatus comprising: an auditing system configured to receive a data file comprising one or more auditable items, each auditable item comprising a word string having one or more words; and a translator in communication with the auditing apparatus configured to: translate each word string for each auditable item using one or more translation steps into a translated item description; compare each translated item description to a plurality of terms to generate matching information; associate each translated item description with an item identifier based on the matching information; and accept or reject each auditable item based on the item identifier and one or more rules associated with the data file; wherein the auditing system and the translator comprise a processor in communication with a database.
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5. An apparatus comprising: an auditing system configured to receive a data file comprising one or more auditable items, each auditable item comprising a word string having one or more words; and a translator in communication with the auditing apparatus configured to: translate each word string for each auditable item using one or more translation steps into a translated item description; compare each translated item description to a plurality of terms to generate matching information; associate each translated item description with an item identifier based on the matching information; and accept or reject each auditable item based on the item identifier and one or more rules associated with the data file; wherein the auditing system and the translator comprise a processor in communication with a database. 8. The apparatus of claim 5 further comprising a database in communication with the translator configured to store one or more rules, the one or more rules being used to translate the word string.
| 0.5 |
9,507,825 | 1 | 7 |
1. A method for pruning partitions based on aggregated zone map information comprising: receiving a query statement comprising a filter predicate on a column of a first database table; and pruning a particular table partition of a second database table from access paths for processing the query statement based on determining, based on aggregated zone map information associated with the particular table partition, that the query statement cannot be satisfied by data stored in the particular table partition, the aggregated zone map information comprising an aggregated minimum value for the column and an aggregated maximum value for the column, the aggregated minimum value being a smallest minimum value for the column among a plurality of minimum values for the column, the aggregated maximum value being a greatest maximum value for the column among a plurality of maximum values for the column, the plurality of minimum values for the column and the plurality of maximum values for the column associated with the column by a zone map on the second database table, the plurality of minimum values for the column and the plurality of maximum values for the column associated with a plurality of zones by the zone map, the plurality of zones comprising the data stored in the particular table partition.
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1. A method for pruning partitions based on aggregated zone map information comprising: receiving a query statement comprising a filter predicate on a column of a first database table; and pruning a particular table partition of a second database table from access paths for processing the query statement based on determining, based on aggregated zone map information associated with the particular table partition, that the query statement cannot be satisfied by data stored in the particular table partition, the aggregated zone map information comprising an aggregated minimum value for the column and an aggregated maximum value for the column, the aggregated minimum value being a smallest minimum value for the column among a plurality of minimum values for the column, the aggregated maximum value being a greatest maximum value for the column among a plurality of maximum values for the column, the plurality of minimum values for the column and the plurality of maximum values for the column associated with the column by a zone map on the second database table, the plurality of minimum values for the column and the plurality of maximum values for the column associated with a plurality of zones by the zone map, the plurality of zones comprising the data stored in the particular table partition. 7. The method of claim 1 , wherein the filter predicate is a first filter predicate; wherein the query statement comprises a second filter predicate on a second column of the second database table; wherein values in the second column in the particular table partition are indexed in a particular index partition associated with the particular table partition, the method further comprising: pruning the particular index partition from access paths for processing the query statement based on determining, based on the aggregated zone map information associated with the particular table partition, that the query statement cannot be satisfied by data stored in the particular table partition.
| 0.5 |
10,088,976 | 17 | 19 |
17. The portable electronic device of claim 15 wherein the computer program product further configures the processor to: send to the display device a graphical menu of available characters each associated with a character voice model and a character voice, for selection from the display of the second voice model; receive a user selection of a character from the menu.
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17. The portable electronic device of claim 15 wherein the computer program product further configures the processor to: send to the display device a graphical menu of available characters each associated with a character voice model and a character voice, for selection from the display of the second voice model; receive a user selection of a character from the menu. 19. The portable electronic device of claim 17 wherein the computer program product further configures the processor to: determine whether the user made a selection of an additional portion of the text to associate with a particular character; receive the user's selection of the additional portion of the text; display the menu of available characters; receive the user's selection of an additional character; associate the additional character with the additional portion of text; and generate a visual indication to apply to the additional portion of text.
| 0.5 |
7,523,440 | 1 | 21 |
1. A method for generating a formatted user interface for editing information associated with entities in software development projects loaded in a software development environment, the method comprising: loading one or more software development projects in the software development environment; displaying a first user interface element displaying entities of the one or more software development projects loaded in the software development environment, wherein the first user interface element enables users to select multiple entities displayed in the first user interface element; receiving a selection of a plurality of entities in the one or more loaded software development projects with the first user interface element; identifying editable information associated with the selected plurality of entities; identifying common data associated with the selected plurality of entities, the identifying including classifying data in an intersection of data associated with the selected plurality of entities as common data; and dynamically generating from the identified editable information and the identified common data using a computational device a formatted second user interface element displaying at least a portion of the identified editable information and the identified common data associated with the selected plurality of entities, the formatted second user interface element enabling the users to distinguish data associated with the selected plurality of entities that is not common data, the formatted second user interface element enabling the users to edit data that is common data.
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1. A method for generating a formatted user interface for editing information associated with entities in software development projects loaded in a software development environment, the method comprising: loading one or more software development projects in the software development environment; displaying a first user interface element displaying entities of the one or more software development projects loaded in the software development environment, wherein the first user interface element enables users to select multiple entities displayed in the first user interface element; receiving a selection of a plurality of entities in the one or more loaded software development projects with the first user interface element; identifying editable information associated with the selected plurality of entities; identifying common data associated with the selected plurality of entities, the identifying including classifying data in an intersection of data associated with the selected plurality of entities as common data; and dynamically generating from the identified editable information and the identified common data using a computational device a formatted second user interface element displaying at least a portion of the identified editable information and the identified common data associated with the selected plurality of entities, the formatted second user interface element enabling the users to distinguish data associated with the selected plurality of entities that is not common data, the formatted second user interface element enabling the users to edit data that is common data. 21. The method of claim 1 wherein the second user interface element is displayed dynamically on the selection of the plurality of entities.
| 0.73062 |
9,224,041 | 15 | 16 |
15. The organizational table identifier as set forth in claim 9 , wherein the classifier is trained using the set of positive training examples comprising some or all of the text fragment pairs selected by the selector and a set of negative training examples comprising some or all of the text fragment pairs of the document other than the text fragment pairs selected by the selector.
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15. The organizational table identifier as set forth in claim 9 , wherein the classifier is trained using the set of positive training examples comprising some or all of the text fragment pairs selected by the selector and a set of negative training examples comprising some or all of the text fragment pairs of the document other than the text fragment pairs selected by the selector. 16. The organizational table identifier as set forth in claim 15 , further comprising: a validator comprising computer hardware configured to validate the trained classifier respective to its ability to distinguish between the positive and negative examples, the re-selector being applied conditional upon a result of the validating.
| 0.5 |
9,256,798 | 5 | 6 |
5. A method for document alteration based on native text analysis and optical character recognition (OCR) on a computing device, the method comprising: performing, by the computing device, named-entity recognition on native text from a native document to categorize a text entity of the native text in a predefined text category, wherein the text entity is designated for redaction based on the predefined text category; using a native application interface to convert the native document to a document image, wherein the native application interface is determined based on a document type of the native document; performing OCR on the document image to identify a text location of the text entity, wherein performing the OCR on the document image to identify the text location of the text entity comprises: recognizing a plurality of words in the document image; generating a plurality of bounding coordinates for each of the plurality of words, wherein the plurality of bounding coordinates describe a bounding rectangle of a plurality of bounding rectangles that surrounds one of the plurality of words; using the plurality of words and the plurality of bounding rectangles to identify the text location of the text entity, wherein using the plurality of words and the plurality of bounding rectangles to identify the text location of the text entity comprises matching variations of a root portion of the text entity to a matching word of the plurality of words, wherein the matching word is associated with the text location; and generating a redaction box at the text location in the document image to conceal the text entity.
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5. A method for document alteration based on native text analysis and optical character recognition (OCR) on a computing device, the method comprising: performing, by the computing device, named-entity recognition on native text from a native document to categorize a text entity of the native text in a predefined text category, wherein the text entity is designated for redaction based on the predefined text category; using a native application interface to convert the native document to a document image, wherein the native application interface is determined based on a document type of the native document; performing OCR on the document image to identify a text location of the text entity, wherein performing the OCR on the document image to identify the text location of the text entity comprises: recognizing a plurality of words in the document image; generating a plurality of bounding coordinates for each of the plurality of words, wherein the plurality of bounding coordinates describe a bounding rectangle of a plurality of bounding rectangles that surrounds one of the plurality of words; using the plurality of words and the plurality of bounding rectangles to identify the text location of the text entity, wherein using the plurality of words and the plurality of bounding rectangles to identify the text location of the text entity comprises matching variations of a root portion of the text entity to a matching word of the plurality of words, wherein the matching word is associated with the text location; and generating a redaction box at the text location in the document image to conceal the text entity. 6. The method of claim 5 , wherein the redaction box is generated using a surrounding threshold so that the redaction box further conceals a buffer area surrounding the text entity.
| 0.72741 |
9,092,405 | 1 | 6 |
1. A system for presenting versions of web pages, the system comprising: a network computing provider in communication with a client computing device, the network computing provider comprising a network computing component executing on one or more physical network computing devices, wherein each physical network computing device comprises hardware configurable to execute specific computing instructions, the network computing component configured to: determine at least one difference between a first version of a web page and a second version of a web page, wherein the first version and second version of the web page comprise different versions of the web page as retrieved from a content provider in response to different browse session requests for the web page from a client computing device, and wherein the first version of the web page was accessed at a different time than the second version of the web page; cause display of a first object, the first object representing the first version of the web page; cause display of a second object at least partially obscured by display of the first object, the second object representing the second version of the web page; and cause display of an interactive timeline, wherein display of the first object representing the first version of the web page is at least partially replaced by display of the second object in response to a user interaction with the interactive timeline, and wherein at least one of the first object or the second object comprises a visual indicator of the at least one difference between the first version of the web page and the second version of the web page.
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1. A system for presenting versions of web pages, the system comprising: a network computing provider in communication with a client computing device, the network computing provider comprising a network computing component executing on one or more physical network computing devices, wherein each physical network computing device comprises hardware configurable to execute specific computing instructions, the network computing component configured to: determine at least one difference between a first version of a web page and a second version of a web page, wherein the first version and second version of the web page comprise different versions of the web page as retrieved from a content provider in response to different browse session requests for the web page from a client computing device, and wherein the first version of the web page was accessed at a different time than the second version of the web page; cause display of a first object, the first object representing the first version of the web page; cause display of a second object at least partially obscured by display of the first object, the second object representing the second version of the web page; and cause display of an interactive timeline, wherein display of the first object representing the first version of the web page is at least partially replaced by display of the second object in response to a user interaction with the interactive timeline, and wherein at least one of the first object or the second object comprises a visual indicator of the at least one difference between the first version of the web page and the second version of the web page. 6. The system of claim 1 , wherein the first object is caused to be displayed substantially covering the second object, and wherein the first object is at least partially transparent, providing a view of the second object and the visual indicator of the at least one difference.
| 0.5 |
9,450,771 | 14 | 18 |
14. A non-transitory computer-readable medium having stored contents that configure a computing system to perform a method, the method comprising: analyzing, by the configured computing system, a plurality of textual comments being supplied by human users during a prior time period and being related to a plurality of topics that are each mentioned in contents of one or more of the plurality of textual comments and that are identified from the analyzing; generating, by the configured computing system, a plurality of comment groups based on the identified topics, each of the generated comment groups being associated with one of the identified topics and including one or more of the plurality of textual comments that have contents mentioning the associated identified topic; determining, by the configured computing system, multiple terms of interest that are distinct from the plurality of topics, and assigning each of the multiple terms to one of multiple graph axes; determining, by the configured computing system, and for each of at least some of the plurality of topics, a relevance of one of the generated comment groups associated with the topic to the multiple terms based at least in part on the textual comments included in the one generated comment group; providing, by the configured computing system, information to initiate display of a multi-dimensional graph that includes the multiple graph axes and that includes visual indicators for multiple of the at least some topics on the multi-dimensional graph, wherein a position of each of the multiple topics on the displayed multi-dimensional graph is based on the determined relevance of the one generated comment group associated with the topic to the multiple terms and is based on the assignment of the multiple terms to the multiple graph axes, to enable a visual determination from the displayed multi-dimensional graph of relative relevance of the multiple topics to the multiple terms; identifying, by the configured computing system, a subset of the plurality of textual comments that are associated with a specified content category based on contents of the textual comments of the identified subset, the textual comments of the identified subset being included in multiple of the generated comment groups; determining, by the configured computing system, a subset of the multiple generated comment groups that correspond to the specified content category for the prior time period; discovering, by the configured computing system, additional content categories that are related to the specified content category, wherein each of the additional content categories corresponds to the topic of at least one of the determined subset of comment groups; and providing, by the configured computing system, indications of the determined additional content categories that are related to the specified content category.
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14. A non-transitory computer-readable medium having stored contents that configure a computing system to perform a method, the method comprising: analyzing, by the configured computing system, a plurality of textual comments being supplied by human users during a prior time period and being related to a plurality of topics that are each mentioned in contents of one or more of the plurality of textual comments and that are identified from the analyzing; generating, by the configured computing system, a plurality of comment groups based on the identified topics, each of the generated comment groups being associated with one of the identified topics and including one or more of the plurality of textual comments that have contents mentioning the associated identified topic; determining, by the configured computing system, multiple terms of interest that are distinct from the plurality of topics, and assigning each of the multiple terms to one of multiple graph axes; determining, by the configured computing system, and for each of at least some of the plurality of topics, a relevance of one of the generated comment groups associated with the topic to the multiple terms based at least in part on the textual comments included in the one generated comment group; providing, by the configured computing system, information to initiate display of a multi-dimensional graph that includes the multiple graph axes and that includes visual indicators for multiple of the at least some topics on the multi-dimensional graph, wherein a position of each of the multiple topics on the displayed multi-dimensional graph is based on the determined relevance of the one generated comment group associated with the topic to the multiple terms and is based on the assignment of the multiple terms to the multiple graph axes, to enable a visual determination from the displayed multi-dimensional graph of relative relevance of the multiple topics to the multiple terms; identifying, by the configured computing system, a subset of the plurality of textual comments that are associated with a specified content category based on contents of the textual comments of the identified subset, the textual comments of the identified subset being included in multiple of the generated comment groups; determining, by the configured computing system, a subset of the multiple generated comment groups that correspond to the specified content category for the prior time period; discovering, by the configured computing system, additional content categories that are related to the specified content category, wherein each of the additional content categories corresponds to the topic of at least one of the determined subset of comment groups; and providing, by the configured computing system, indications of the determined additional content categories that are related to the specified content category. 18. The non-transitory computer-readable medium of claim 14 wherein the method further comprises: determining, by the configured computing system, and for each of the comment groups of the determined subset, a quantity of the textual comments included in the comment group; predicting, by the configured computing system, an expected quantity of future textual comments associated with the specified content category that will be supplied by human users during a future time period, the predicting being based in part on a combination of the determined quantities for the comment groups of the determined subset; and providing, by the configured computing system, an indication of the predicted expected quantity of future textual comments for the specified content category.
| 0.536483 |
6,122,661 | 37 | 38 |
37. A computer-readable storage medium holding code for facilitating information transfer between a host computer and a client computer via a server computer, comprising: a host computer comprising a memory within which a presentation space buffer storing computer display information is configured and a communications interface enabling information exchanges using data streams, including transmission of the presentation space buffer as a presentation space data stream; a client computer comprising a web browser application displaying a markup language document and forwarding user inputs; and a server computer topologically intermediate to the host computer and the client computer and comprising: a server application framework comprising a display control interfacing to the host computer via a communications medium over which data streams are exchanged, including the transmitted presentation space data stream, and a host extension converting the transmitted presentation space data stream into a markup language document having instructions that identify position information for a cursor on a Web page and for modifying the presentation space buffer in the host; and a web server application interfacing to the client computer via a network medium over which the markup language document is served and the forwarded user inputs received.
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37. A computer-readable storage medium holding code for facilitating information transfer between a host computer and a client computer via a server computer, comprising: a host computer comprising a memory within which a presentation space buffer storing computer display information is configured and a communications interface enabling information exchanges using data streams, including transmission of the presentation space buffer as a presentation space data stream; a client computer comprising a web browser application displaying a markup language document and forwarding user inputs; and a server computer topologically intermediate to the host computer and the client computer and comprising: a server application framework comprising a display control interfacing to the host computer via a communications medium over which data streams are exchanged, including the transmitted presentation space data stream, and a host extension converting the transmitted presentation space data stream into a markup language document having instructions that identify position information for a cursor on a Web page and for modifying the presentation space buffer in the host; and a web server application interfacing to the client computer via a network medium over which the markup language document is served and the forwarded user inputs received. 38. A storage medium according to claim 37, the display control further comprising: a memory storing display information received from the host computer via the transmitted presentation space data stream; an interface to the host computer for exchanging data and commands over the communications medium; and an interface to the host extension for exchanging data and commands over a bi-directional data path.
| 0.68323 |
10,089,388 | 10 | 11 |
10. A non-transitory computer-readable medium embodying computer instructions executable by a computing device, the computer instructions being configured to cause the computing device to at least: display a plurality of user interface elements on a gesture-enabled input device, the gesture-enabled input device in communication with the computing device, the computing device associated with a user and enrolled in a management service that is operated by an enterprise; obtain a search term from the user in response to the user interacting with at least one of the user interface elements; transmit the search term to a search engine and in response to the gesture-enabled input device detecting a first gesture; obtain a plurality of search results from the search engine, each one of the plurality of search results being based on a role of the user in the enterprise, the role determined by at least one of a job title or calendar data; and generate a rendering of the search results that comprises contextual content for the search term.
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10. A non-transitory computer-readable medium embodying computer instructions executable by a computing device, the computer instructions being configured to cause the computing device to at least: display a plurality of user interface elements on a gesture-enabled input device, the gesture-enabled input device in communication with the computing device, the computing device associated with a user and enrolled in a management service that is operated by an enterprise; obtain a search term from the user in response to the user interacting with at least one of the user interface elements; transmit the search term to a search engine and in response to the gesture-enabled input device detecting a first gesture; obtain a plurality of search results from the search engine, each one of the plurality of search results being based on a role of the user in the enterprise, the role determined by at least one of a job title or calendar data; and generate a rendering of the search results that comprises contextual content for the search term. 11. The non-transitory computer-readable medium of claim 10 , wherein the computer instructions are further configured to cause the computing device to at least: obtain a user request to adjust an amount of the contextual content for the search term that is included in the rendering of the search results; and generate an updated rendering of the search results that comprises an adjusted amount of contextual content for the search term.
| 0.5 |
8,255,794 | 10 | 14 |
10. A computer-based system comprising: a network interface communicating with a memory; the memory communicating with a processor for obtaining computer-generated markup language documents using a programming language; and the processor, when executing a computer program, is configured to: parse, by the processor, a template document to determine a working storage structure corresponding to a plurality of tags, wherein the template document includes the plurality of tags; and generate, by the processor, an API in the programming language, wherein the API generates a markup language document during run-time, wherein the API generates a corresponding set of data elements corresponding to the working storage structure, and wherein the API includes a definition of the working storage structure including a plurality of API variables, code for each tag that participates in an array, and code configured to compress the data elements by truncating leading spaces in each data element, and wherein a dimension of the array can be adjusted in response to receiving input from a user interface.
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10. A computer-based system comprising: a network interface communicating with a memory; the memory communicating with a processor for obtaining computer-generated markup language documents using a programming language; and the processor, when executing a computer program, is configured to: parse, by the processor, a template document to determine a working storage structure corresponding to a plurality of tags, wherein the template document includes the plurality of tags; and generate, by the processor, an API in the programming language, wherein the API generates a markup language document during run-time, wherein the API generates a corresponding set of data elements corresponding to the working storage structure, and wherein the API includes a definition of the working storage structure including a plurality of API variables, code for each tag that participates in an array, and code configured to compress the data elements by truncating leading spaces in each data element, and wherein a dimension of the array can be adjusted in response to receiving input from a user interface. 14. The system of claim 10 , wherein the markup language is XML.
| 0.904192 |
8,291,213 | 8 | 10 |
8. A non-transitory machine-readable media having code for execution on a machine, the machine when executed performing a method comprising: acquiring, by the machine, a temporary identity for a principal from an identity service along with a first public key, a first private key, a second public key, and a second private key for the temporary identity, the temporary identity masked a true identity for the principal; acquiring, by the machine and from the identity service, a search service public key for a search service and a return result's public key for a search return process, the search service to process a search on behalf of the principal and then communicate the search results to the search return process in an encrypted format that uses the first public key, the first public key known to the search service but the first public key is not known to the search return process and the second public key known to the search return process but the second public key is not known to the search service; encrypting the search in a first format using the search service public key; encrypting return search instructions for the search results in a second format using the return result's public key; sending the encrypted search in the first format to the search service over a wide-area network (WAN) connection; sending the encrypted return search instructions in the second format to the search return process over the WAN connection; receiving the search results from the search return process in response to the search service performing the search and receiving the search results in a third encrypted format and in accordance with the return search instructions; and decrypting the third encrypted format that the search results are in using one or more of the first private key and the second private key and providing the search results to the principal for use.
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8. A non-transitory machine-readable media having code for execution on a machine, the machine when executed performing a method comprising: acquiring, by the machine, a temporary identity for a principal from an identity service along with a first public key, a first private key, a second public key, and a second private key for the temporary identity, the temporary identity masked a true identity for the principal; acquiring, by the machine and from the identity service, a search service public key for a search service and a return result's public key for a search return process, the search service to process a search on behalf of the principal and then communicate the search results to the search return process in an encrypted format that uses the first public key, the first public key known to the search service but the first public key is not known to the search return process and the second public key known to the search return process but the second public key is not known to the search service; encrypting the search in a first format using the search service public key; encrypting return search instructions for the search results in a second format using the return result's public key; sending the encrypted search in the first format to the search service over a wide-area network (WAN) connection; sending the encrypted return search instructions in the second format to the search return process over the WAN connection; receiving the search results from the search return process in response to the search service performing the search and receiving the search results in a third encrypted format and in accordance with the return search instructions; and decrypting the third encrypted format that the search results are in using one or more of the first private key and the second private key and providing the search results to the principal for use. 10. The non-transitory machine-readable media of claim 8 wherein the method further comprises sending the first public key to the search service to encrypt the search results in a format that cannot be decrypted by the search return process and sending the second public key to the search return process to provide the search results in the third encrypted format.
| 0.732746 |
9,009,046 | 1 | 5 |
1. A method comprising: receiving, via an interactive voice recognition system, a user utterance and converting the user utterance to text; generating multiple intents based on the text; establishing, via the interactive voice recognition system, a confidence score for each intent in the multiple intents, wherein the confidence score for each intent is based on how much training data corresponding to the each intent was used to train a spoken language understanding module, where more training data corresponds to a higher confidence; when only a single intent in the multiple intents has a confidence score above a threshold: identifying a plurality of call types associated with the multiple intents; and applying predefined precedence rules to respond to only a single call type in the plurality of call types, the single call type associated with the single intent; and when multiple intents have confidence scores above the threshold: identifying a first intent and a second intent based on the confidence scores for the multiple intents, wherein the first intent and the second intent have a highest two confidence scores in the multiple intents; and disambiguating the first intent and the second intent by presenting a disambiguation sub-dialog, via the interactive voice recognition system, wherein a user is offered a choice of which intent to process first, wherein the user is first presented with one of the first intent and the second intent having a lowest confidence score between the first intent and the second intent.
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1. A method comprising: receiving, via an interactive voice recognition system, a user utterance and converting the user utterance to text; generating multiple intents based on the text; establishing, via the interactive voice recognition system, a confidence score for each intent in the multiple intents, wherein the confidence score for each intent is based on how much training data corresponding to the each intent was used to train a spoken language understanding module, where more training data corresponds to a higher confidence; when only a single intent in the multiple intents has a confidence score above a threshold: identifying a plurality of call types associated with the multiple intents; and applying predefined precedence rules to respond to only a single call type in the plurality of call types, the single call type associated with the single intent; and when multiple intents have confidence scores above the threshold: identifying a first intent and a second intent based on the confidence scores for the multiple intents, wherein the first intent and the second intent have a highest two confidence scores in the multiple intents; and disambiguating the first intent and the second intent by presenting a disambiguation sub-dialog, via the interactive voice recognition system, wherein a user is offered a choice of which intent to process first, wherein the user is first presented with one of the first intent and the second intent having a lowest confidence score between the first intent and the second intent. 5. The method of claim 1 , wherein when the received utterance comprises a customer service representative request plus an intent, then disambiguating the received utterance further comprises concatenating prompts from a table of call types.
| 0.5 |
9,378,254 | 6 | 7 |
6. The method of claim 1 , wherein the COPY statement further identifies a SET clause, a DROP clause, and a WHERE clause that includes a WHERE clause expression, wherein the method further comprises: receiving a SET clause predicate corresponding to the identified SET clause, wherein the SET clause predicate includes a name element and an expression element; comparing the name element to the set of source column names; in response to the name element matching one of the source column names, replacing the matching source column name in the SELECT clause with the expression element; in response to the name element failing to match one of the source column names: adding the name element to the set of target names included in the INSERT INTO clause; and adding the expression element to the set of source names included in the SELECT clause, wherein placement of the expression element within the SELECT clause matches placement of the name element in the INSERT INTO clause; receiving a DROP clause predicate corresponding to the identified DROP clause, wherein the DROP clause predicate identifies a drop column name; removing one of the source column names from the SELECT clause, wherein the removed source column name matches the drop column name; and removing one of the target column names from the INSERT INTO clause, wherein the removed target column name matches the drop column name; including the WHERE clause in the generated SQL statement.
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6. The method of claim 1 , wherein the COPY statement further identifies a SET clause, a DROP clause, and a WHERE clause that includes a WHERE clause expression, wherein the method further comprises: receiving a SET clause predicate corresponding to the identified SET clause, wherein the SET clause predicate includes a name element and an expression element; comparing the name element to the set of source column names; in response to the name element matching one of the source column names, replacing the matching source column name in the SELECT clause with the expression element; in response to the name element failing to match one of the source column names: adding the name element to the set of target names included in the INSERT INTO clause; and adding the expression element to the set of source names included in the SELECT clause, wherein placement of the expression element within the SELECT clause matches placement of the name element in the INSERT INTO clause; receiving a DROP clause predicate corresponding to the identified DROP clause, wherein the DROP clause predicate identifies a drop column name; removing one of the source column names from the SELECT clause, wherein the removed source column name matches the drop column name; and removing one of the target column names from the INSERT INTO clause, wherein the removed target column name matches the drop column name; including the WHERE clause in the generated SQL statement. 7. The method of claim 6 , wherein the generated SQL statement is executed by a COPY statement processor that is built into a relational database management system (DBMS), and wherein the method further comprises: executing the generated SQL statement by the DBMS, wherein the executing results in a set of data being copied from the source table to the target table.
| 0.5 |
9,317,551 | 1 | 2 |
1. A method comprising: receiving information associated with a plurality of technical computing environment (TCE) models, the receiving the information being performed by a device; executing the plurality of TCE models to generate execution information associated with the plurality of TCE models, the executing the plurality of TCE models being performed by the device; storing the plurality of TCE models and the execution information for association with a TCE-based search engine, the storing the plurality of TCE models being performed by the device; providing, for display, a user interface associated with the TCE-based search engine, the providing, for display, the user interface being performed by the device; receiving a query via the user interface, the receiving the query being performed by the device; dividing the query into one or more query elements, the dividing the query being performed by the device; identifying a group of query elements of the one or more query elements, the identifying being performed by the device; processing the group of the query elements based on at least one of query content or information requested by the query, the processing the group of the query elements being performed by the device; transforming the query into another query based on the processed group of the query elements, the other query being different than the query, and the transforming the query being performed by the device; determining a respective input type for each processed query element of the processed group of the query elements, each respective input type corresponding to a respective TCE model of the plurality of TCE models, and the determining the respective input type being performed by the device; selecting at least one TCE model, of the plurality of TCE models, based on the determined respective input type, the selecting the at least one TCE model being performed by the device; and providing the other query to the selected at least one TCE model for further processing, the providing the other query being performed by the device.
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1. A method comprising: receiving information associated with a plurality of technical computing environment (TCE) models, the receiving the information being performed by a device; executing the plurality of TCE models to generate execution information associated with the plurality of TCE models, the executing the plurality of TCE models being performed by the device; storing the plurality of TCE models and the execution information for association with a TCE-based search engine, the storing the plurality of TCE models being performed by the device; providing, for display, a user interface associated with the TCE-based search engine, the providing, for display, the user interface being performed by the device; receiving a query via the user interface, the receiving the query being performed by the device; dividing the query into one or more query elements, the dividing the query being performed by the device; identifying a group of query elements of the one or more query elements, the identifying being performed by the device; processing the group of the query elements based on at least one of query content or information requested by the query, the processing the group of the query elements being performed by the device; transforming the query into another query based on the processed group of the query elements, the other query being different than the query, and the transforming the query being performed by the device; determining a respective input type for each processed query element of the processed group of the query elements, each respective input type corresponding to a respective TCE model of the plurality of TCE models, and the determining the respective input type being performed by the device; selecting at least one TCE model, of the plurality of TCE models, based on the determined respective input type, the selecting the at least one TCE model being performed by the device; and providing the other query to the selected at least one TCE model for further processing, the providing the other query being performed by the device. 2. The method of claim 1 , further comprising: storing the other query in a repository.
| 0.834601 |
9,195,649 | 14 | 18 |
14. An apparatus to form an audio template for determining semantic audio information, comprising: a processor to: extract a first audio feature from audio, the first audio feature including at least one of a temporal feature, a spectral feature, a harmonic feature, or a rhythmic feature; extract a second audio feature from the audio, the second audio feature including at least one of a temporal feature, a spectral feature, a harmonic feature, or a rhythmic feature, and the second audio feature is different from the first audio feature; and determine a first range for the first audio feature and a second range for the second audio feature; and a storage to store the first and second ranges to compare against other audio features from subsequent audio to generate semantic audio information for the subsequent audio.
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14. An apparatus to form an audio template for determining semantic audio information, comprising: a processor to: extract a first audio feature from audio, the first audio feature including at least one of a temporal feature, a spectral feature, a harmonic feature, or a rhythmic feature; extract a second audio feature from the audio, the second audio feature including at least one of a temporal feature, a spectral feature, a harmonic feature, or a rhythmic feature, and the second audio feature is different from the first audio feature; and determine a first range for the first audio feature and a second range for the second audio feature; and a storage to store the first and second ranges to compare against other audio features from subsequent audio to generate semantic audio information for the subsequent audio. 18. The apparatus of claim 14 , wherein the rhythmic features include at least one of a rhythmic structure, a beat period, a rhythmic fluctuation, or an average tempo for at least some of the audio.
| 0.735294 |
9,703,775 | 1 | 8 |
1. A method comprising, by one or more computing devices: selecting, by one or more of the computing devices, a first text string from a set of text strings to be translated, wherein each text string of the set of text strings is associated with a priority value, and wherein the first text string is selected based on its priority value, wherein the priority value of the first text string is determined based on one or more previously calculated reliability-values of one or more translations for the first text string; sending, to a client system of a first user, instructions configured to present a translation prompt comprising the first text string and a translation-input field, wherein the first user is associated with a credibility-score based on prior translation activity of the first user; receiving, from the client system, an input by the first user at the translation-input field, wherein the input corresponds to a first translation for the first text string; and calculating, by one or more of the computing devices, a reliability-value for the first translation based on the input and the credibility-score of the first user.
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1. A method comprising, by one or more computing devices: selecting, by one or more of the computing devices, a first text string from a set of text strings to be translated, wherein each text string of the set of text strings is associated with a priority value, and wherein the first text string is selected based on its priority value, wherein the priority value of the first text string is determined based on one or more previously calculated reliability-values of one or more translations for the first text string; sending, to a client system of a first user, instructions configured to present a translation prompt comprising the first text string and a translation-input field, wherein the first user is associated with a credibility-score based on prior translation activity of the first user; receiving, from the client system, an input by the first user at the translation-input field, wherein the input corresponds to a first translation for the first text string; and calculating, by one or more of the computing devices, a reliability-value for the first translation based on the input and the credibility-score of the first user. 8. The method of claim 1 , wherein the credibility-score of the first user is based on a language proficiency of the first user, the language proficiency of the first user being determined based on a history of language usage by the first user in communications authored by the first user.
| 0.784328 |
9,686,242 | 14 | 15 |
14. The method of claim 10 further comprising: assigning sensitivity scores to the subjects; and displaying the sensitivity scores for the subjects to the user.
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14. The method of claim 10 further comprising: assigning sensitivity scores to the subjects; and displaying the sensitivity scores for the subjects to the user. 15. The method of claim 14 further comprising: receiving input from the user on the sensitivity scores; and adjusting the sensitivity scores for the subjects based on the input from the user.
| 0.5 |
9,646,082 | 39 | 40 |
39. The machine-readable medium of claim 31 , wherein the second set of documents includes one or more of the first set of documents.
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39. The machine-readable medium of claim 31 , wherein the second set of documents includes one or more of the first set of documents. 40. The machine-readable medium of claim 39 , wherein instructions to cause the server to rank the second set of documents includes instructions to cause the server to rank the one or more of the first set of documents.
| 0.5 |
9,542,446 | 1 | 8 |
1. A method, comprising: at one or more computing devices comprising one or more processors and memory storing one or more computer programs executed by the one or more processors to perform the method, performing the operations of: annotating a plurality of datasets with metadata, the plurality of datasets including a plurality of fields, the metadata including a plurality of categories, each category of the plurality of categories corresponding to one or more fields of the plurality of fields; generating a hierarchy mapping that indicates a hierarchical relationship between different categories of the plurality of categories; receiving a natural language query that specifies a first granularity level that indicates a particular category of the plurality of categories and one or more field values that correspond to the particular category; determining against which of the plurality of datasets to execute the natural language query based on: identifying, based on the hierarchy mapping, one or more categories of the plurality of categories that are hierarchically related to the particular category; selecting, based on the metadata, two or more datasets of the plurality of datasets that include at least one category of the one or more categories; generating one or more dataset filters based on the first granularity level; translating the one or more dataset filters to a second granularity level corresponding to the at least one category; after translating the one or more dataset filters, applying the one or more dataset filters to at least one dataset of the two or more datasets; joining the two or more datasets to generate a composite dataset that includes the particular category; and executing the natural language query against the composite dataset to return a result for the natural language query.
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1. A method, comprising: at one or more computing devices comprising one or more processors and memory storing one or more computer programs executed by the one or more processors to perform the method, performing the operations of: annotating a plurality of datasets with metadata, the plurality of datasets including a plurality of fields, the metadata including a plurality of categories, each category of the plurality of categories corresponding to one or more fields of the plurality of fields; generating a hierarchy mapping that indicates a hierarchical relationship between different categories of the plurality of categories; receiving a natural language query that specifies a first granularity level that indicates a particular category of the plurality of categories and one or more field values that correspond to the particular category; determining against which of the plurality of datasets to execute the natural language query based on: identifying, based on the hierarchy mapping, one or more categories of the plurality of categories that are hierarchically related to the particular category; selecting, based on the metadata, two or more datasets of the plurality of datasets that include at least one category of the one or more categories; generating one or more dataset filters based on the first granularity level; translating the one or more dataset filters to a second granularity level corresponding to the at least one category; after translating the one or more dataset filters, applying the one or more dataset filters to at least one dataset of the two or more datasets; joining the two or more datasets to generate a composite dataset that includes the particular category; and executing the natural language query against the composite dataset to return a result for the natural language query. 8. The method of claim 1 , wherein the at least one dataset is translated to a level of the particular category and stored.
| 0.84026 |
7,797,673 | 15 | 17 |
15. The method of claim 1 , further comprising: generating code from the simulatable graphical model.
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15. The method of claim 1 , further comprising: generating code from the simulatable graphical model. 17. The method of claim 15 , wherein generating code from the simulatable graphical model further comprises: generating code complying with the coding standard.
| 0.5 |
6,163,773 | 7 | 8 |
7. The method of claim 1, the method further comprising: operating the trained neural network to determine values of having respective cached datasets present in the cache to satisfy future requests for access to the datasets and rank the cached datasets according to the determined values; and removing one or more cached datasets having the lowest ranks from the cache.
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7. The method of claim 1, the method further comprising: operating the trained neural network to determine values of having respective cached datasets present in the cache to satisfy future requests for access to the datasets and rank the cached datasets according to the determined values; and removing one or more cached datasets having the lowest ranks from the cache. 8. The method of claim 7, the removing of one or more cached datasets having the lowest ranks from the cache comprising: repeatedly removing a lowest ranked cached dataset from the cache and evaluating free space within the cache the until the free space satisfies a predetermined criteria.
| 0.5 |
10,147,438 | 14 | 17 |
14. The computer program product of claim 13 , further comprising: receiving first audio data comprising a first audio conversation between a first speaker and a second speaker; partitioning the first audio conversation in to one or more segments and associating each of the one or more segments with one or both of the first speaker and the second speaker; and determining a first role of the first speaker based at least in part on the role classification model.
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14. The computer program product of claim 13 , further comprising: receiving first audio data comprising a first audio conversation between a first speaker and a second speaker; partitioning the first audio conversation in to one or more segments and associating each of the one or more segments with one or both of the first speaker and the second speaker; and determining a first role of the first speaker based at least in part on the role classification model. 17. The computer program product of claim 14 , further comprising determining a speaker identity associated with the first speaker.
| 0.571895 |
9,715,635 | 2 | 3 |
2. The apparatus as claimed in claim 1 , wherein the capture device is an optical capture device or wherein the capture device comprises an optical image sensor.
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2. The apparatus as claimed in claim 1 , wherein the capture device is an optical capture device or wherein the capture device comprises an optical image sensor. 3. The apparatus as claimed in claim 2 , wherein the optical capture device is a digital camera.
| 0.5 |
8,234,114 | 17 | 18 |
17. A speech interactive method implemented in a computer system having at least a processing device, a storage device, a text input device, a speech input device and an output device, comprising: preparing an interactive information recording table in said storage device for recording speech interactive text sentence information; receiving a speech signal from a user using said speech input device and determining target text sentence information for said speech signal, or receiving given target text sentence information as well using said text input device, in order to provide said user with different interactive modes for a speech interactive operation; performing a speech assessment on said target text sentence information and generating an assessment result of a target text sentence; updating said interactive information recording table according to said generated speech assessment result and a timing count if said target text sentence information is given and received from said text input device as well; deciding an output response of said target text sentence information according to the interactive mode, speech assessment result, and said interactive information recording table; and outputting response information using said output device according to said decided output response and said interactive information recording table.
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17. A speech interactive method implemented in a computer system having at least a processing device, a storage device, a text input device, a speech input device and an output device, comprising: preparing an interactive information recording table in said storage device for recording speech interactive text sentence information; receiving a speech signal from a user using said speech input device and determining target text sentence information for said speech signal, or receiving given target text sentence information as well using said text input device, in order to provide said user with different interactive modes for a speech interactive operation; performing a speech assessment on said target text sentence information and generating an assessment result of a target text sentence; updating said interactive information recording table according to said generated speech assessment result and a timing count if said target text sentence information is given and received from said text input device as well; deciding an output response of said target text sentence information according to the interactive mode, speech assessment result, and said interactive information recording table; and outputting response information using said output device according to said decided output response and said interactive information recording table. 18. The method as claimed in claim 17 , wherein said different interactive modes includes a teaching mode and a conversation mode.
| 0.879852 |
8,977,614 | 5 | 6 |
5. The method of claim 1 , further comprising modifying the user profile associated with the user based on the search refinement input.
|
5. The method of claim 1 , further comprising modifying the user profile associated with the user based on the search refinement input. 6. The method of claim 5 , wherein producing the at least one modified search result comprises producing the at least one modified search result based at least in part on the modified user profile.
| 0.5 |
9,015,575 | 1 | 3 |
1. A computer implemented method comprising: identifying a host setting related to a property of a document data structure and a property of a fragment data structure, the document data structure reflecting an organization of a document that includes a reference to the fragment data structure separate from the document, and the fragment data structure reflecting an organization of a portion of the document; retrieving the fragment data structure that is separate from the document; and overriding the property of the fragment data structure using the property of the document data structure, if the host setting includes a command that the property of the fragment data structure is to be overridden by the property of the document data structure.
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1. A computer implemented method comprising: identifying a host setting related to a property of a document data structure and a property of a fragment data structure, the document data structure reflecting an organization of a document that includes a reference to the fragment data structure separate from the document, and the fragment data structure reflecting an organization of a portion of the document; retrieving the fragment data structure that is separate from the document; and overriding the property of the fragment data structure using the property of the document data structure, if the host setting includes a command that the property of the fragment data structure is to be overridden by the property of the document data structure. 3. The computer implemented method of claim 1 , further comprising building a final document using the property of the document data structure.
| 0.694444 |
9,953,010 | 9 | 10 |
9. A method for presenting content items comprising: receiving a plurality of content items; determining size constraints of each of the plurality of content items; selecting a plurality of candidate templates each having a number of slots, each slot defining a portion of a page within which a content item is displayed; for each candidate template of the plurality of candidate templates, determining a score for the candidate template by: determining a score for each slot of the candidate template based on a degree of resizing needed to fit one or more of the plurality of content items into the slot, where a minimum score is assigned to a slot if greater than a threshold degree of resizing is needed to fit a content item of the plurality of content items into the slot, and determining the score for the candidate template based on aggregating the scores of the slots of the candidate template; selecting a template from the plurality of candidate templates based on the determined scores; and generating the page for presentation to a user, the page including one or more of the plurality of content items positioned based on slots in the selected template.
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9. A method for presenting content items comprising: receiving a plurality of content items; determining size constraints of each of the plurality of content items; selecting a plurality of candidate templates each having a number of slots, each slot defining a portion of a page within which a content item is displayed; for each candidate template of the plurality of candidate templates, determining a score for the candidate template by: determining a score for each slot of the candidate template based on a degree of resizing needed to fit one or more of the plurality of content items into the slot, where a minimum score is assigned to a slot if greater than a threshold degree of resizing is needed to fit a content item of the plurality of content items into the slot, and determining the score for the candidate template based on aggregating the scores of the slots of the candidate template; selecting a template from the plurality of candidate templates based on the determined scores; and generating the page for presentation to a user, the page including one or more of the plurality of content items positioned based on slots in the selected template. 10. The method of claim 9 , wherein one or more of the plurality of content items comprise user-generated posts on social networks.
| 0.712719 |
9,141,602 | 7 | 8 |
7. The method of claim 6 , wherein the character of the canonicalized form of the word and an alternate character are both assigned to a predetermined input key, and further comprising: generating as the character set for the character of the canonicalized form of the word a character set further comprising both diacritical and non-diacritical forms of the alternate character.
|
7. The method of claim 6 , wherein the character of the canonicalized form of the word and an alternate character are both assigned to a predetermined input key, and further comprising: generating as the character set for the character of the canonicalized form of the word a character set further comprising both diacritical and non-diacritical forms of the alternate character. 8. The method of claim 7 , further comprising: generating as the character set for the character of the canonicalized form of the word a character set further comprising both upper case and lower case forms of the character and the alternate character.
| 0.5 |
10,063,910 | 18 | 19 |
18. The system of claim 11 , wherein control circuitry adds the event to the user profile by: accessing a social network associated with the user; analyzing data added to the social network by a friend of the user; and detecting in the analyzed data, data associated with the user and that identifies the event.
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18. The system of claim 11 , wherein control circuitry adds the event to the user profile by: accessing a social network associated with the user; analyzing data added to the social network by a friend of the user; and detecting in the analyzed data, data associated with the user and that identifies the event. 19. The system of claim 18 , wherein the event comprises one of the group of: a natural disaster, a news article, a location, and a weather pattern.
| 0.5 |
7,966,204 | 5 | 8 |
5. A system for processing an insurance claim based on different types of documents related to the insurance claim, comprising: a processor; and a memory storing computer instructions which, when executed by the processor, cause the system to perform a method for processing an insurance claim, the method comprising: receiving, by a text analyzer, at least two different types of documents corresponding to the insurance claim, and automatically processing, by the text analyzer, the text of each document according to its document type, using a specialized insurance dictionary, to extract data elements; and assigning, by a rules engine, a value to each of the data elements, the value reflecting each data element's relevance to claim subrogation potential, and evaluating, by the rules engine, the values assigned to the data elements to determine whether the insurance claim has subrogation potential.
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5. A system for processing an insurance claim based on different types of documents related to the insurance claim, comprising: a processor; and a memory storing computer instructions which, when executed by the processor, cause the system to perform a method for processing an insurance claim, the method comprising: receiving, by a text analyzer, at least two different types of documents corresponding to the insurance claim, and automatically processing, by the text analyzer, the text of each document according to its document type, using a specialized insurance dictionary, to extract data elements; and assigning, by a rules engine, a value to each of the data elements, the value reflecting each data element's relevance to claim subrogation potential, and evaluating, by the rules engine, the values assigned to the data elements to determine whether the insurance claim has subrogation potential. 8. The system of claim 5 , wherein one of the documents is a non-sentence textual group document, and wherein the text analyzer processes the text of the non-sentence textual group document according to field headings and data in the non-sentence textual group document.
| 0.5 |
8,892,422 | 1 | 13 |
1. A computer implemented method of identifying a phrase weighting of a sequence of words as a function of the position of words present in the sequence of words, comprising: identifying a sequence of words; determining, utilizing one or more processors, a centrality value for each of a plurality of identified words in the sequence of words, the centrality value for each of the identified words based on a co-occurrence consistency with other of the identified words in their respective relative positions in the sequence of words; and determining, utilizing one or more processors, a phrase weighting of the sequence of words based on the determined centrality value for each of the identified words, wherein the phrase weighting provides an indication of the likelihood that the sequence of words is a phrase.
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1. A computer implemented method of identifying a phrase weighting of a sequence of words as a function of the position of words present in the sequence of words, comprising: identifying a sequence of words; determining, utilizing one or more processors, a centrality value for each of a plurality of identified words in the sequence of words, the centrality value for each of the identified words based on a co-occurrence consistency with other of the identified words in their respective relative positions in the sequence of words; and determining, utilizing one or more processors, a phrase weighting of the sequence of words based on the determined centrality value for each of the identified words, wherein the phrase weighting provides an indication of the likelihood that the sequence of words is a phrase. 13. The method of claim 1 , wherein the sequence of words is part of a larger sequence of words and further comprising: identifying additional sequences of words from the larger sequence of words; and determining, utilizing one or more processors, additional phrase weightings of each of the additional sequences of words that provide an indication of phrase likelihood.
| 0.816468 |
4,539,653 | 9 | 16 |
9. The automatic typographic page formatter set forth in claim 2 wherein said define area means includes means for defining a plurality of named areas and said named area means includes means for formatting text signals to a plurality of said named areas and including means in said named area placement means coupled to said receiving means for determining when said text signals formatted to the respective named areas are to be placed on a page including formatting in a sequence other than the sequence of the received text signals.
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9. The automatic typographic page formatter set forth in claim 2 wherein said define area means includes means for defining a plurality of named areas and said named area means includes means for formatting text signals to a plurality of said named areas and including means in said named area placement means coupled to said receiving means for determining when said text signals formatted to the respective named areas are to be placed on a page including formatting in a sequence other than the sequence of the received text signals. 16. The automatic typographic page formatter set forth in claim 9 further including means in said named area means coupled to said receiving means for receiving other ones of said embedded commands for concatenating text and graphics formatted to predetermined ones of said named areas when placing same onto a page.
| 0.735343 |
10,055,103 | 9 | 10 |
9. The method of claim 7 , wherein performing the first autocomplete operation comprises generating a first proposed word based on a search history.
|
9. The method of claim 7 , wherein performing the first autocomplete operation comprises generating a first proposed word based on a search history. 10. The method of claim 9 , further comprising: retrieving the search history from a memory; searching the search history for proposed words associated with the first character; and determining the first proposed word based on a search characteristic associated with the first character.
| 0.612162 |
9,740,881 | 1 | 2 |
1. A computer-implemented method for enhancing electronic privacy, comprising: receiving, by a user computer system, a query response corresponding to a first query submitted by a user of the user computer system to a search engine, the query response comprising an advertisement targeted at the user, the advertisement received as part of the query response; providing, by the user computer system, the query and the query response to a noise engine configured to generate noise information for the user computer system based at least in part on the advertisement, the query comprising information that identifies at least one of the user or the query; receiving, by the user computer system, the noise information from the noise engine, the noise information generated by the noise engine based at least in part on the query and the advertisement, and the noise information comprising a noise schedule with respective query execution times; generating, by the user computer system, one or more additional queries based at least in part on the noise information; and transmitting, by the user computer system, the one or more additional queries to the search engine according to the respective query execution times of the noise schedule.
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1. A computer-implemented method for enhancing electronic privacy, comprising: receiving, by a user computer system, a query response corresponding to a first query submitted by a user of the user computer system to a search engine, the query response comprising an advertisement targeted at the user, the advertisement received as part of the query response; providing, by the user computer system, the query and the query response to a noise engine configured to generate noise information for the user computer system based at least in part on the advertisement, the query comprising information that identifies at least one of the user or the query; receiving, by the user computer system, the noise information from the noise engine, the noise information generated by the noise engine based at least in part on the query and the advertisement, and the noise information comprising a noise schedule with respective query execution times; generating, by the user computer system, one or more additional queries based at least in part on the noise information; and transmitting, by the user computer system, the one or more additional queries to the search engine according to the respective query execution times of the noise schedule. 2. The computer-implemented method of claim 1 , further comprising obtaining second information, wherein the additional queries are generated further based at least in part on the second information, and wherein the second information includes, for the query: identifying a keyword of the query; and determining one or more keywords that are semantically similar to the identified keyword, wherein the second information indicates the determined one or more keywords.
| 0.5 |
8,046,736 | 13 | 17 |
13. A non-transitory computer-readable medium holding executable instructions for performing a method for reproducing a result using generated dynamically typed programming language code, the medium comprising: instructions for receiving a user selection via a graphical user interface (GUI), where the user selection is related to a processing choice that produces the result when the processing choice is applied to data; instructions for storing the user selection, the processing choice, the result, or the data in a data structure; and instructions for generating the dynamically typed programming language code, where the generated dynamically typed programming language code is used to process the data when the processing choice is received from the data structure, wherein the generated dynamically typed programming language code reproduces the result when the generated dynamically typed programming language code is used with the data.
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13. A non-transitory computer-readable medium holding executable instructions for performing a method for reproducing a result using generated dynamically typed programming language code, the medium comprising: instructions for receiving a user selection via a graphical user interface (GUI), where the user selection is related to a processing choice that produces the result when the processing choice is applied to data; instructions for storing the user selection, the processing choice, the result, or the data in a data structure; and instructions for generating the dynamically typed programming language code, where the generated dynamically typed programming language code is used to process the data when the processing choice is received from the data structure, wherein the generated dynamically typed programming language code reproduces the result when the generated dynamically typed programming language code is used with the data. 17. The computer-readable medium of claim 13 , wherein the result comprises a plurality of elements represented by a plurality of data structures, and wherein the generating loops through the plurality of data structures representing the plurality of elements.
| 0.5 |
7,831,420 | 10 | 21 |
10. An apparatus comprising: a formants modifier comprising: a receiver configured to receive Mth order linear predictive coding (LPC) coefficients representative of an input speech signal and a scale factor; a first converter configured to convert the Mth order LPC coefficients to Mth order line spectral pairs (LSPs); a multiplier configured to multiply the Mth order LSPs by the scale factor to produce scaled Mth order LSPs; an extractor configured to remove any pairs of scaled LSPs with at least one coefficient above a frequency threshold to produce a Pth order set of LSPs, where P<M; a second converter configured to convert the Pth order set of scaled LSPs to a Pth order set of LPCs; an inserter configured to pad the Pth order set of LPCs with M-P zeros; a third converter configured to convert the Pth order set of LPCs padded with zeros to a second Mth order set of LSPs; a processor configured to process the second Mth order set of LSPs and at least a third set of Mth order LSPs of another frame; and a fourth converter configured to convert the processed LSPs to processed LPCs; and a synthesizer configured to re-synthesize speech using the processed LPCs.
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10. An apparatus comprising: a formants modifier comprising: a receiver configured to receive Mth order linear predictive coding (LPC) coefficients representative of an input speech signal and a scale factor; a first converter configured to convert the Mth order LPC coefficients to Mth order line spectral pairs (LSPs); a multiplier configured to multiply the Mth order LSPs by the scale factor to produce scaled Mth order LSPs; an extractor configured to remove any pairs of scaled LSPs with at least one coefficient above a frequency threshold to produce a Pth order set of LSPs, where P<M; a second converter configured to convert the Pth order set of scaled LSPs to a Pth order set of LPCs; an inserter configured to pad the Pth order set of LPCs with M-P zeros; a third converter configured to convert the Pth order set of LPCs padded with zeros to a second Mth order set of LSPs; a processor configured to process the second Mth order set of LSPs and at least a third set of Mth order LSPs of another frame; and a fourth converter configured to convert the processed LSPs to processed LPCs; and a synthesizer configured to re-synthesize speech using the processed LPCs. 21. The apparatus of claim 10 , further comprising a user interface configured to receive inputs to control the scale factor.
| 0.690594 |
7,627,861 | 1 | 19 |
1. A method for detecting constructs in computer program source code in a manner that is independent of underlying source code variations used to implement the source code constructs, the method comprising: (a) converting a first computer source code file into a fact set in a mathematical notation that supports direct expression of semantic reliances between elements of source code and is suitable for inputting into an automated inference engine; (b) accessing a catalog including elemental design patterns and constructs composed of elemental design patterns for identifying predetermined source code constructs, wherein the elemental design patterns and the constructs in the catalog are independent of source code semantic tags; (c) accessing a set of rules in the mathematical notation usable by the automated inference engine to identify relationships between source code constructs; and (d) inputting the fact set, the catalog, and the rules to the automated inference engine and identifying constructs present in the first computer program source code file.
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1. A method for detecting constructs in computer program source code in a manner that is independent of underlying source code variations used to implement the source code constructs, the method comprising: (a) converting a first computer source code file into a fact set in a mathematical notation that supports direct expression of semantic reliances between elements of source code and is suitable for inputting into an automated inference engine; (b) accessing a catalog including elemental design patterns and constructs composed of elemental design patterns for identifying predetermined source code constructs, wherein the elemental design patterns and the constructs in the catalog are independent of source code semantic tags; (c) accessing a set of rules in the mathematical notation usable by the automated inference engine to identify relationships between source code constructs; and (d) inputting the fact set, the catalog, and the rules to the automated inference engine and identifying constructs present in the first computer program source code file. 19. The method of claim 1 wherein identifying constructs in the first computer program source code file includes identifying constructs in an object-oriented source code file.
| 0.865385 |
9,710,759 | 12 | 17 |
12. An apparatus comprising at least a processor and a memory, wherein the processor and/or memory are configured to perform the following operations: logging a plurality of recipient patterns for known spammers based, at least in part, on a plurality of emails associated with the known spammers, the plurality of emails including emails sent by the known spammers; generating or modifying a probabilistic model for predicting whether an unknown sender identity is a spammer based, at least in part, on the logged recipient patterns for the known spammers, wherein the logged recipient patterns for each of the known spammers includes identification of recipients to which the known identified spammer sends emails, wherein the logged recipient patterns for each one of the known spammers indicates whether any of the recipients of the emails sent by the one of the known spammers have mutually exchanged messages with one another; and determining a likelihood that a particular sender identity is a spammer based, at least in part, upon applying the probabilistic model to logged recipient patterns for the particular sender identity, wherein the logged recipient patterns for the particular sender identity indicate whether any of the recipients of emails sent by the particular sender identity have mutually exchanged messages with one another; wherein one of the logged recipient patterns for one of the known spammers indicates whether a first one of the recipients of the emails sent by the one of the known spammers previously sent a message to a second one of the recipients of the emails sent by the one of the known spammers, and wherein one of the logged recipient patterns for the particular sender identity indicates whether a first one of the recipients of the emails sent by the particular sender identity previously sent a message to a second one of the recipients of the emails sent by the particular sender identity.
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12. An apparatus comprising at least a processor and a memory, wherein the processor and/or memory are configured to perform the following operations: logging a plurality of recipient patterns for known spammers based, at least in part, on a plurality of emails associated with the known spammers, the plurality of emails including emails sent by the known spammers; generating or modifying a probabilistic model for predicting whether an unknown sender identity is a spammer based, at least in part, on the logged recipient patterns for the known spammers, wherein the logged recipient patterns for each of the known spammers includes identification of recipients to which the known identified spammer sends emails, wherein the logged recipient patterns for each one of the known spammers indicates whether any of the recipients of the emails sent by the one of the known spammers have mutually exchanged messages with one another; and determining a likelihood that a particular sender identity is a spammer based, at least in part, upon applying the probabilistic model to logged recipient patterns for the particular sender identity, wherein the logged recipient patterns for the particular sender identity indicate whether any of the recipients of emails sent by the particular sender identity have mutually exchanged messages with one another; wherein one of the logged recipient patterns for one of the known spammers indicates whether a first one of the recipients of the emails sent by the one of the known spammers previously sent a message to a second one of the recipients of the emails sent by the one of the known spammers, and wherein one of the logged recipient patterns for the particular sender identity indicates whether a first one of the recipients of the emails sent by the particular sender identity previously sent a message to a second one of the recipients of the emails sent by the particular sender identity. 17. The apparatus of claim 12 , wherein the recipient patterns for the particular sender identity indicates a geographic distance between a sender associated with the particular sender identity and the recipients.
| 0.833594 |
8,886,662 | 12 | 13 |
12. The system of claim 11 , wherein the suffix of the partial query ends with an incomplete term.
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12. The system of claim 11 , wherein the suffix of the partial query ends with an incomplete term. 13. The system of claim 12 , wherein the suffix of at least one of the candidate queries includes a term which begins with the incomplete term in the suffix of the partial query.
| 0.5 |
9,886,584 | 6 | 8 |
6. A computer program product for redacting a document, the computer program product comprising: one or more computer-readable storage devices and program instructions stored on at least one of the one or more tangible storage devices, the program instructions comprising: program instructions to receive an unredacted document; program instructions to determine one or more portions of the unredacted document contains sensitive information, wherein the program instructions to determine one or more portions of the unredacted document contains sensitive information comprises program instructions to determine that a pattern for the one or more portions of the unredacted document matches a pattern corresponding to sensitive information; program instructions to apply a redaction method to the one or more portions of the unredacted document containing sensitive information to create a redacted document, wherein the redaction method replaces the one or more portions of the unredacted document containing sensitive information with one or more different pieces of content; and wherein the one or more different pieces of content correlate to a most stringent redaction method selected from a list of redaction methods; program instructions to display the redacted document to a user; program instructions to determine a frustration level of the user, wherein the program instructions to determine the frustration level of the user comprises: program instructions to receive current physiological information pertaining to the user; program instructions to receive historical physiological information pertaining to the user; and program instructions to determine if there is a difference between the received current physiological information pertaining to the user and the received historical physiological information pertaining to the user; based on determining that the frustration level of the user is above a threshold value, program instructions to replace at least one of the one or more different pieces of content with a one or more pieces of content corresponding to a next most stringent redaction method from the list of redaction methods; and program instructions to display the updated redacted document to the user.
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6. A computer program product for redacting a document, the computer program product comprising: one or more computer-readable storage devices and program instructions stored on at least one of the one or more tangible storage devices, the program instructions comprising: program instructions to receive an unredacted document; program instructions to determine one or more portions of the unredacted document contains sensitive information, wherein the program instructions to determine one or more portions of the unredacted document contains sensitive information comprises program instructions to determine that a pattern for the one or more portions of the unredacted document matches a pattern corresponding to sensitive information; program instructions to apply a redaction method to the one or more portions of the unredacted document containing sensitive information to create a redacted document, wherein the redaction method replaces the one or more portions of the unredacted document containing sensitive information with one or more different pieces of content; and wherein the one or more different pieces of content correlate to a most stringent redaction method selected from a list of redaction methods; program instructions to display the redacted document to a user; program instructions to determine a frustration level of the user, wherein the program instructions to determine the frustration level of the user comprises: program instructions to receive current physiological information pertaining to the user; program instructions to receive historical physiological information pertaining to the user; and program instructions to determine if there is a difference between the received current physiological information pertaining to the user and the received historical physiological information pertaining to the user; based on determining that the frustration level of the user is above a threshold value, program instructions to replace at least one of the one or more different pieces of content with a one or more pieces of content corresponding to a next most stringent redaction method from the list of redaction methods; and program instructions to display the updated redacted document to the user. 8. The computer program product of claim 6 , further comprising program instructions to determine a position of the user in the redacted document, wherein the position of the user comprises a portion of the one or more portions that the user is currently viewing.
| 0.5 |
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