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9,213,774 | 17 | 19 | 17. A system, comprising: a data processing apparatus having accesses to a data store storing: a query log storing query sequences for search sessions, each query sequence being a sequence including an initial query and one or more revised queries and defining an order in which the queries were submitted for a search session; and a click log storing selection data defining actions taken responsive to search results provided for the search sessions, the search results provided in response to the queries and each search result including a corresponding resource locator that specifies the location of a corresponding resource; a computer-readable medium storing instructions executable by the data processing apparatus and upon such execution cause the data processing apparatus to perform operations comprising: selecting a candidate query in a query sequence; selecting a revised query subsequent to the candidate query in the order; determining a probability of revision from the candidate query to the revised query; determining a probability of entry of the revised query; and determining that the probability of revision from the candidate query to the revised query is greater than the probability of entry of the revised query, and in response: identifying a navigational resource for the revised query; and associating the navigational resource with the candidate query, the association specifying the navigational resource as being relevant to the candidate query in a search operation. | 17. A system, comprising: a data processing apparatus having accesses to a data store storing: a query log storing query sequences for search sessions, each query sequence being a sequence including an initial query and one or more revised queries and defining an order in which the queries were submitted for a search session; and a click log storing selection data defining actions taken responsive to search results provided for the search sessions, the search results provided in response to the queries and each search result including a corresponding resource locator that specifies the location of a corresponding resource; a computer-readable medium storing instructions executable by the data processing apparatus and upon such execution cause the data processing apparatus to perform operations comprising: selecting a candidate query in a query sequence; selecting a revised query subsequent to the candidate query in the order; determining a probability of revision from the candidate query to the revised query; determining a probability of entry of the revised query; and determining that the probability of revision from the candidate query to the revised query is greater than the probability of entry of the revised query, and in response: identifying a navigational resource for the revised query; and associating the navigational resource with the candidate query, the association specifying the navigational resource as being relevant to the candidate query in a search operation. 19. The system of claim 17 , wherein the candidate query is further selected in response to determining that a quality score for the revised query is greater than a quality score threshold and that the navigation score for the revised query is greater than a navigation score threshold, and selecting the candidate query comprises: selecting a query that is prior to the revised query in the query sequence; determining a quality score for the selected query; determining navigation score for the selected query; and determining that the selected query is a candidate query if the quality score of the selected query is less than the quality score threshold and the navigation score of the selected query is less than the navigation score threshold. | 0.5 |
9,756,149 | 1 | 10 | 1. A non-transitory computer-readable medium having instructions stored thereon that, when executed on a computing device having a machine-specific instruction set, cause the computing device to perform operations comprising: receiving, by the computing device and from a computing system that is remotely located from the computing device, first portable code, the first portable code being a portable version of a first program, wherein the computing device includes multiple sets of application environment components and each set of application environment components includes: (i) a respective translator component for translating portable code into the machine-specific instruction set of the computing device, and (ii) a respective sandboxing component for executing translated programs that have been translated into the machine-specific instruction set of the computing device by one of the translator components, the respective sandboxing component using software-based fault isolation; selecting, based on a set of selection criteria and from among the multiple sets of application environment components, a particular set of application environment components; translating the first portable code into the machine-specific instruction set of the computing device using the respective translator component of the particular set of application environment components to generate a machine-specific version of the first program; and executing the machine-specific version of the first program on the computing device using the respective sandboxing component of the particular set of application environment components. | 1. A non-transitory computer-readable medium having instructions stored thereon that, when executed on a computing device having a machine-specific instruction set, cause the computing device to perform operations comprising: receiving, by the computing device and from a computing system that is remotely located from the computing device, first portable code, the first portable code being a portable version of a first program, wherein the computing device includes multiple sets of application environment components and each set of application environment components includes: (i) a respective translator component for translating portable code into the machine-specific instruction set of the computing device, and (ii) a respective sandboxing component for executing translated programs that have been translated into the machine-specific instruction set of the computing device by one of the translator components, the respective sandboxing component using software-based fault isolation; selecting, based on a set of selection criteria and from among the multiple sets of application environment components, a particular set of application environment components; translating the first portable code into the machine-specific instruction set of the computing device using the respective translator component of the particular set of application environment components to generate a machine-specific version of the first program; and executing the machine-specific version of the first program on the computing device using the respective sandboxing component of the particular set of application environment components. 10. The computer-readable medium of claim 1 , wherein: receiving the first portable code comprises receiving the first portable code by a web browser; the web browser includes the multiple sets of application environment components; and the operations comprise: receiving a new set of application environment components that is not included among one or more initial sets of application environment components that have been registered with the web browser; and registering the new set of application environment components with the web browser. | 0.5 |
7,665,063 | 53 | 56 | 53. The method of claim 46 , wherein said one or more declarative rules are expressed in a tabular form, with the table columns (or rows) representing properties of related objects, and table rows (or columns) representing different values, or ranges of values. | 53. The method of claim 46 , wherein said one or more declarative rules are expressed in a tabular form, with the table columns (or rows) representing properties of related objects, and table rows (or columns) representing different values, or ranges of values. 56. The method of claim 53 , further comprising parsing said tabular form to identify related objects of the object in which the procedural instruction changed one or more data. | 0.5 |
9,536,519 | 10 | 11 | 10. The non-transitory, machine-readable storage medium described in claim 7 , wherein the operations further comprise: detecting a second occurrence of the textual phrase in the closed captioning as a detected second occurrence; obtaining a second audio segment corresponding to the textual phrase as a selected audio segment; and computing a second phonetic transcription for the second occurrence as a second computed transcription. | 10. The non-transitory, machine-readable storage medium described in claim 7 , wherein the operations further comprise: detecting a second occurrence of the textual phrase in the closed captioning as a detected second occurrence; obtaining a second audio segment corresponding to the textual phrase as a selected audio segment; and computing a second phonetic transcription for the second occurrence as a second computed transcription. 11. The non-transitory, machine-readable storage medium described in claim 10 , wherein the operations further comprise calculating a difference metric between the second computed transcription and the identified phonetic transcriptions associated with the textual phrase from the speech recognition library. | 0.5 |
9,406,019 | 1 | 2 | 1. A computer-implemented method comprising: receiving initial training data, the initial training data comprising initial training records, each initial training record identifying input data as input and a category as output; generating first intermediate training records by inputting input data of a first subset of the initial training records to a first trained predictive model, the first trained predictive model generated using at least a second subset of the initial training records and a training function, each first intermediate training record having a first score; generating second intermediate training records by inputting input data of the second subset of the initial training records to a second trained predictive model, the second trained predictive model generated using the training function and at least the first subset of the initial training records, each second intermediate training record having a second score; and generating, for the first trained predictive model and the second trained predictive model, a score normalization model using a score normalization training function, the first intermediate training records, and the second intermediate training records. | 1. A computer-implemented method comprising: receiving initial training data, the initial training data comprising initial training records, each initial training record identifying input data as input and a category as output; generating first intermediate training records by inputting input data of a first subset of the initial training records to a first trained predictive model, the first trained predictive model generated using at least a second subset of the initial training records and a training function, each first intermediate training record having a first score; generating second intermediate training records by inputting input data of the second subset of the initial training records to a second trained predictive model, the second trained predictive model generated using the training function and at least the first subset of the initial training records, each second intermediate training record having a second score; and generating, for the first trained predictive model and the second trained predictive model, a score normalization model using a score normalization training function, the first intermediate training records, and the second intermediate training records. 2. The method of claim 1 , further comprising: dividing the initial training records into subsets of initial training records, the subsets of initial training records including the first subset of the initial training records and the second subset of the initial training records; generating the second trained predictive model using the first subset of the initial training records and at least one other subset of the initial training records of the subsets of training records. | 0.534884 |
9,870,501 | 10 | 15 | 10. A system for processing value documents, comprising a camera device, an image processing device and a value-document processing apparatus, wherein the camera device is adapted to capture an action of an operator of the value-document processing apparatus and to generate image data of the captured action, the image processing device is adapted to process the image data generated by the camera device and to extract at least one gesture from the processed image data, the gesture being composed of two or more consecutive partial gestures, at least one partial gesture designating a specific module of the value-document processing apparatus, and the value-document processing apparatus is adapted to process an input information item allocated to the gesture that is provided in the value-document processing apparatus, the input information item including a control information item for the specific module of the value-document processing apparatus designated with the partial gesture. | 10. A system for processing value documents, comprising a camera device, an image processing device and a value-document processing apparatus, wherein the camera device is adapted to capture an action of an operator of the value-document processing apparatus and to generate image data of the captured action, the image processing device is adapted to process the image data generated by the camera device and to extract at least one gesture from the processed image data, the gesture being composed of two or more consecutive partial gestures, at least one partial gesture designating a specific module of the value-document processing apparatus, and the value-document processing apparatus is adapted to process an input information item allocated to the gesture that is provided in the value-document processing apparatus, the input information item including a control information item for the specific module of the value-document processing apparatus designated with the partial gesture. 15. The system according to claim 10 , wherein the camera device is configured as a 3D camera, in particular as a stereo camera or TOF camera. | 0.825553 |
10,146,767 | 1 | 4 | 1. A method for generating characteristic lexical chain, and for synthesizing the update of a lexical chain, the method comprising: receiving a string of text; generating at least one lexical chain from the string of text, wherein the at least one lexical chain comprises at least one noun and at least one adjective; generating at least one of the following: a gradability score and a predication score for the at least one adjective; determining whether the at least one adjective is one of the following: characteristic and non-characteristic, based on, at least in part, at least one of the following: the gradability score and the predication score; updating the at least one lexical chain by removing a non-characteristic adjective from the at least one lexical chain when the non-characteristic adjective appears before at least one of: a characteristic adjective and a noun; and providing the updated at least one lexical chain via a computing device capable of at least one of the following: audibly broadcasting synthesized speech associated with the updated at least one lexical chain, and transmitting over a network data to a user device for at least one of the following: audible broadcast of the synthesized speech and the visual display of text. | 1. A method for generating characteristic lexical chain, and for synthesizing the update of a lexical chain, the method comprising: receiving a string of text; generating at least one lexical chain from the string of text, wherein the at least one lexical chain comprises at least one noun and at least one adjective; generating at least one of the following: a gradability score and a predication score for the at least one adjective; determining whether the at least one adjective is one of the following: characteristic and non-characteristic, based on, at least in part, at least one of the following: the gradability score and the predication score; updating the at least one lexical chain by removing a non-characteristic adjective from the at least one lexical chain when the non-characteristic adjective appears before at least one of: a characteristic adjective and a noun; and providing the updated at least one lexical chain via a computing device capable of at least one of the following: audibly broadcasting synthesized speech associated with the updated at least one lexical chain, and transmitting over a network data to a user device for at least one of the following: audible broadcast of the synthesized speech and the visual display of text. 4. The method of claim 1 , wherein removing the non-characteristic adjective from the lexical chain comprises determining a nominalization property. | 0.666667 |
10,037,197 | 15 | 19 | 15. A system for executing a business process from a business process model recorded in a non-executable business process modeling language, the system comprising: one or more microprocessors and a memory; a set of microinstructions wherein each microinstruction defines an atomic operation that can be executed as part of a running business process in accordance with semantics defined by the non-executable business process modeling language; a compiler operating on said one or more microprocessors and memory; and wherein the compiler is adapted to compile a business process model for a business process recorded in the non-executable business process modeling language into a compiled business process model comprising a plurality of microprograms, wherein each microprogram comprises a minimal set of microinstructions selected from the set of microinstructions that together execute at least one of an activity, an event or a gateway of the business process model, wherein the microinstructions constitute an intermediate code portable to different runtime environments, wherein the compiler is configured to statically analyze the business process model to determine a process flow of the business process model representing a sequence of process steps and configurations for activities, events and gateways of the business process model that comprise the process steps, select, subsequent to and based on statically analyzing the business process model, the minimal set of microinstructions for each of the plurality of microprograms, and generate the plurality of microprograms using the selected microinstructions to achieve execution of the business process model, wherein the microinstructions that comprise the minimal set of microinstructions are selected for each microprogram according to semantic execution of that microprogram within the process flow, and according to target runtime performance of the business process, ability to reuse a microinstruction in other microprograms within the compiled business process model, and compliance with the underlying state machine implementation, and wherein said compiling resolves conditional code in said business process model recorded in said non-executable business process modeling language, and wherein at runtime said compiled business process model is executable on an execution platform. | 15. A system for executing a business process from a business process model recorded in a non-executable business process modeling language, the system comprising: one or more microprocessors and a memory; a set of microinstructions wherein each microinstruction defines an atomic operation that can be executed as part of a running business process in accordance with semantics defined by the non-executable business process modeling language; a compiler operating on said one or more microprocessors and memory; and wherein the compiler is adapted to compile a business process model for a business process recorded in the non-executable business process modeling language into a compiled business process model comprising a plurality of microprograms, wherein each microprogram comprises a minimal set of microinstructions selected from the set of microinstructions that together execute at least one of an activity, an event or a gateway of the business process model, wherein the microinstructions constitute an intermediate code portable to different runtime environments, wherein the compiler is configured to statically analyze the business process model to determine a process flow of the business process model representing a sequence of process steps and configurations for activities, events and gateways of the business process model that comprise the process steps, select, subsequent to and based on statically analyzing the business process model, the minimal set of microinstructions for each of the plurality of microprograms, and generate the plurality of microprograms using the selected microinstructions to achieve execution of the business process model, wherein the microinstructions that comprise the minimal set of microinstructions are selected for each microprogram according to semantic execution of that microprogram within the process flow, and according to target runtime performance of the business process, ability to reuse a microinstruction in other microprograms within the compiled business process model, and compliance with the underlying state machine implementation, and wherein said compiling resolves conditional code in said business process model recorded in said non-executable business process modeling language, and wherein at runtime said compiled business process model is executable on an execution platform. 19. The system of claim 15 , further comprising: an execution platform for executing said plurality of microprograms to thereby simulate the business process. | 0.763473 |
9,396,727 | 15 | 17 | 15. An arbitration method comprising: determining, with an arbitration module that includes a processor, a capability catalog associated with a plurality of devices accessible within a vehicle, the capability catalog including a list of the plurality of devices mapped to a list of spoken dialog services provided by each of the plurality of devices; receiving, with a speech understanding module that includes a processor, the spoken utterance; arbitrating, with an arbitration module that includes a processor, between the plurality of devices and the spoken dialog services in the capability catalog to determine a selected device and a selected dialog service, wherein the arbitrating includes classifying the spoken utterance to determine a set of candidate devices from the plurality of devices and a set of spoken dialog services based on the capability catalog, and determining the selected device from the set of candidate devices and the selected spoken dialog service from the list of candidate spoken dialog services based on a verification criterion; and processing the spoken utterance with the selected spoken dialog service on the selected device. | 15. An arbitration method comprising: determining, with an arbitration module that includes a processor, a capability catalog associated with a plurality of devices accessible within a vehicle, the capability catalog including a list of the plurality of devices mapped to a list of spoken dialog services provided by each of the plurality of devices; receiving, with a speech understanding module that includes a processor, the spoken utterance; arbitrating, with an arbitration module that includes a processor, between the plurality of devices and the spoken dialog services in the capability catalog to determine a selected device and a selected dialog service, wherein the arbitrating includes classifying the spoken utterance to determine a set of candidate devices from the plurality of devices and a set of spoken dialog services based on the capability catalog, and determining the selected device from the set of candidate devices and the selected spoken dialog service from the list of candidate spoken dialog services based on a verification criterion; and processing the spoken utterance with the selected spoken dialog service on the selected device. 17. The method of claim 15 , wherein the verification criterion comprises a confidence level associated with the classification of the spoken utterance. | 0.860037 |
7,489,819 | 15 | 19 | 15. A computer readable medium storing computer executable instructions for performing a method for recognizing handwriting on a paper form using a digital pen, the method comprising: accessing a stroke collection file comprising data corresponding to a set of pen strokes marked by a user on the paper form using the digital pen; associating a field on the paper form with a predetermined lexical inference type; determining a subset of pen strokes in the stroke collection file corresponding to the field, wherein determining comprises: associating the field with an area on the paper form corresponding to a first set of coordinates; accessing a second set of coordinates corresponding to a particular stroke from the stroke collection file; and comparing the second set of coordinates to the first set of coordinates to determine whether the particular stroke was written within the area associated with the field; based on the lexical inference type, dynamically updating an inference lexicon associated with the field; and performing handwriting recognition on the subset of pen strokes based on the dynamically updated inference lexicon. | 15. A computer readable medium storing computer executable instructions for performing a method for recognizing handwriting on a paper form using a digital pen, the method comprising: accessing a stroke collection file comprising data corresponding to a set of pen strokes marked by a user on the paper form using the digital pen; associating a field on the paper form with a predetermined lexical inference type; determining a subset of pen strokes in the stroke collection file corresponding to the field, wherein determining comprises: associating the field with an area on the paper form corresponding to a first set of coordinates; accessing a second set of coordinates corresponding to a particular stroke from the stroke collection file; and comparing the second set of coordinates to the first set of coordinates to determine whether the particular stroke was written within the area associated with the field; based on the lexical inference type, dynamically updating an inference lexicon associated with the field; and performing handwriting recognition on the subset of pen strokes based on the dynamically updated inference lexicon. 19. The computer readable medium of claim 15 , wherein the lexical inference type comprises a word prefix level, and wherein dynamically updating the inference lexicon associated with the field comprises: recognizing one or more of the strokes in the subset as a word prefix in a predetermined prefix list; and based on the recognized word prefix, modifying valid lexical entries in the inference lexicon. | 0.53341 |
9,147,220 | 19 | 20 | 19. The one or more non-transitory, machine-readable media for managing user profiles stored in association with business information for user-selected businesses and for identifying additional businesses at least partially based on social graph information and affinity group information of claim 15 , wherein the selecting the at least one of the one or more additional businesses based at least in part on the location, the processing the social graph information, the processing the user preference information, and the processing the affinity group information, comprises: ranking the second set of businesses based at least in part on distance from the location, at least some of the social relationship graph information, at least some of the user preference information relating to the business information, and at least some of the affinity group information. | 19. The one or more non-transitory, machine-readable media for managing user profiles stored in association with business information for user-selected businesses and for identifying additional businesses at least partially based on social graph information and affinity group information of claim 15 , wherein the selecting the at least one of the one or more additional businesses based at least in part on the location, the processing the social graph information, the processing the user preference information, and the processing the affinity group information, comprises: ranking the second set of businesses based at least in part on distance from the location, at least some of the social relationship graph information, at least some of the user preference information relating to the business information, and at least some of the affinity group information. 20. The one or more non-transitory, machine-readable media for managing user profiles stored in association with business information for user-selected businesses and for identifying additional businesses at least partially based on social graph information and affinity group information of claim 19 , wherein the ranking the second set of businesses comprises determining numbers of users of the set of users that have indicated the one or more preferences for one or more of the second set of businesses, and wherein a representation indicating the one or more of the numbers of users of the set of users that have indicated the one or more preferences is transmitted to the end-user device. | 0.5 |
8,185,560 | 1 | 6 | 1. An online legal research system, the system comprising: a case management system of a law firm configured to maintain an editable document related to a first legal case and identification information for the editable document, the identification information identifying the first legal case and an activity associated with the first legal case to which the editable document relates; a client access device configured to access the editable document from the case management system via a word processor application over a first network and to determine the identification information that identifies the first legal case and the activity to which the editable document relates, the client access device further configured to transmit at least a portion of the identification information including the activity over a second network; and a server coupled to one or more databases storing court documents of second legal cases, the server configured to communicate with the client access device over the second network to receive the portion of the identification information, the server further configured to conduct a search of at least one of the databases based on the received portion and to return to the client access device one or more court documents of at least one second legal case that are relevant to the activity of the first legal case. | 1. An online legal research system, the system comprising: a case management system of a law firm configured to maintain an editable document related to a first legal case and identification information for the editable document, the identification information identifying the first legal case and an activity associated with the first legal case to which the editable document relates; a client access device configured to access the editable document from the case management system via a word processor application over a first network and to determine the identification information that identifies the first legal case and the activity to which the editable document relates, the client access device further configured to transmit at least a portion of the identification information including the activity over a second network; and a server coupled to one or more databases storing court documents of second legal cases, the server configured to communicate with the client access device over the second network to receive the portion of the identification information, the server further configured to conduct a search of at least one of the databases based on the received portion and to return to the client access device one or more court documents of at least one second legal case that are relevant to the activity of the first legal case. 6. The system of claim 1 , wherein the case management system includes at least one of a brief document, trial-court document, a local rules document, court docket, jury verdict, set of jury instructions, public records, and people information. | 0.797678 |
10,013,729 | 16 | 18 | 16. A computer system comprising: a computer processor; a non-transitory computer readable storage medium, storing instructions program product comprising a non-transitory computer-readable storage medium storing instructions for: storing a plurality of events and user interactions performed by users of a social networking system with the plurality of events; associating a set of events of the plurality of events with a category; selecting a set of users associated with the set of events, comprising, for each event from the set of events: identifying users performing user interactions with the event, for each identified user, determining a measure of user interactions of the user with the event, wherein the measure of user interactions of the user with the event is based on a frequency of interaction of the user with the event, and including the user in the set of users, responsive to the measure of user interactions of the user with the event exceeding a threshold; selecting a set of candidate events associated with the set of users, based on user interactions of users from the set of users with the candidate events determining whether each candidate event is associated with the category based on keyword occurrences in content associated with each candidate event; and providing information describing a particular event to a user for performing an action, the information provided based on the category. | 16. A computer system comprising: a computer processor; a non-transitory computer readable storage medium, storing instructions program product comprising a non-transitory computer-readable storage medium storing instructions for: storing a plurality of events and user interactions performed by users of a social networking system with the plurality of events; associating a set of events of the plurality of events with a category; selecting a set of users associated with the set of events, comprising, for each event from the set of events: identifying users performing user interactions with the event, for each identified user, determining a measure of user interactions of the user with the event, wherein the measure of user interactions of the user with the event is based on a frequency of interaction of the user with the event, and including the user in the set of users, responsive to the measure of user interactions of the user with the event exceeding a threshold; selecting a set of candidate events associated with the set of users, based on user interactions of users from the set of users with the candidate events determining whether each candidate event is associated with the category based on keyword occurrences in content associated with each candidate event; and providing information describing a particular event to a user for performing an action, the information provided based on the category. 18. The computer system of claim 16 , wherein an event corresponds to an entity represented in the social networking system with which users of the social networking system can perform interactions. | 0.713043 |
9,508,346 | 1 | 2 | 1. A method of automated adaptation of a language model for transcription of a call center's audio data, the method comprising: obtaining audio data from a plurality of audio files, the audio data corresponding to recorded customer service interactions between one or more customers and one or more customer service agents; transcribing the audio data with a language model to produce a plurality of audio file transcriptions, at least one audio file transcription of the plurality being associated to each audio file of the plurality of audio files; evaluating a quality of the plurality of audio file transcriptions by assigning each audio file transcription a score or value based on the results of the transcribing; selecting at least one best transcription from the plurality of audio file transcriptions based upon the evaluated quality; calculating statistics from the selected at least one best transcription from the plurality of audio file transcriptions; modifying the language model from the calculated statistics; and using the modified language model for subsequent transcriptions of the call center's audio data. | 1. A method of automated adaptation of a language model for transcription of a call center's audio data, the method comprising: obtaining audio data from a plurality of audio files, the audio data corresponding to recorded customer service interactions between one or more customers and one or more customer service agents; transcribing the audio data with a language model to produce a plurality of audio file transcriptions, at least one audio file transcription of the plurality being associated to each audio file of the plurality of audio files; evaluating a quality of the plurality of audio file transcriptions by assigning each audio file transcription a score or value based on the results of the transcribing; selecting at least one best transcription from the plurality of audio file transcriptions based upon the evaluated quality; calculating statistics from the selected at least one best transcription from the plurality of audio file transcriptions; modifying the language model from the calculated statistics; and using the modified language model for subsequent transcriptions of the call center's audio data. 2. The method of claim 1 , wherein transcribing the audio data is performed using a large vocabulary speech recognition (LVCSR) technique. | 0.736641 |
9,378,270 | 16 | 17 | 16. The computer-readable memory of claim 14 , wherein the performing the defined analysis for the identified at least one question comprises: identifying the analysis to be performed and dimensions of data to be used based at least partially on the identified at least one question; collecting, from the set of data, a subset of data based at least partially on the identified dimensions; executing the defined processes for performing the analysis on the collected subset of data; populating one or more answer templates with analysis results based at least partially on the identified one or more observations for the analysis; and generating the natural language answer based at least partially on the populated one or more answer templates. | 16. The computer-readable memory of claim 14 , wherein the performing the defined analysis for the identified at least one question comprises: identifying the analysis to be performed and dimensions of data to be used based at least partially on the identified at least one question; collecting, from the set of data, a subset of data based at least partially on the identified dimensions; executing the defined processes for performing the analysis on the collected subset of data; populating one or more answer templates with analysis results based at least partially on the identified one or more observations for the analysis; and generating the natural language answer based at least partially on the populated one or more answer templates. 17. The computer-readable memory of claim 16 , wherein the collecting, from the set of data, the subset of data based at least partially on the identified dimensions comprises using an attribute-weighted data mining algorithm. | 0.5 |
8,666,928 | 5 | 8 | 5. The system of claim 1 wherein the second knowledge comprises a plurality of assertions. | 5. The system of claim 1 wherein the second knowledge comprises a plurality of assertions. 8. The system of claim 5 wherein the at least one computing device is further operable to inhibit use of a first one of the assertions in the knowledge base in response to contradiction of the first assertion by at least one of the users. | 0.667598 |
8,909,708 | 14 | 19 | 14. A system to confirm authorship of documents, comprising: at least one processor; memory; and at least one program stored in the memory and executable by the at least one processor, the at least one program comprising instructions to: access a first document hosted on a first website of a first domain, the first document being indirectly linked to a second document through at least one link in a chain of links, a respective link in the chain of links including a first predefined authorship attribute asserting authorship of a respective document including the respective link by a respective entity associated with a respective target document of the respective link; and conditionally confirm authorship of the first document by an entity associated with the second document when the second document includes a second link to the first website of the first domain, the second link including a second predefined authorship attribute indicating that the entity associated with the second document is an author of or contributor to content at the first website of the first domain. | 14. A system to confirm authorship of documents, comprising: at least one processor; memory; and at least one program stored in the memory and executable by the at least one processor, the at least one program comprising instructions to: access a first document hosted on a first website of a first domain, the first document being indirectly linked to a second document through at least one link in a chain of links, a respective link in the chain of links including a first predefined authorship attribute asserting authorship of a respective document including the respective link by a respective entity associated with a respective target document of the respective link; and conditionally confirm authorship of the first document by an entity associated with the second document when the second document includes a second link to the first website of the first domain, the second link including a second predefined authorship attribute indicating that the entity associated with the second document is an author of or contributor to content at the first website of the first domain. 19. The system of claim 14 , wherein the second document includes a profile of the entity. | 0.911591 |
7,570,382 | 6 | 8 | 6. A method for detecting errors in electronic document transfers comprising the steps of: receiving setup data representative of a user-selected automated electronic document transfer scheme; testing the setup data against error data representative of selected error conditions associated with document, wherein the setup data includes forwarding data representative of instructions to automatically forward electronic documents to at least one selected destination; generating graph data representative of interrelationships between selected destinations as specified in the forwarding data; and upon a positive determination of an error condition, generating an error signal in accordance with a positive determination of an error condition. | 6. A method for detecting errors in electronic document transfers comprising the steps of: receiving setup data representative of a user-selected automated electronic document transfer scheme; testing the setup data against error data representative of selected error conditions associated with document, wherein the setup data includes forwarding data representative of instructions to automatically forward electronic documents to at least one selected destination; generating graph data representative of interrelationships between selected destinations as specified in the forwarding data; and upon a positive determination of an error condition, generating an error signal in accordance with a positive determination of an error condition. 8. The method for detecting errors in electronic document transfers of claim 6 wherein the error data includes loop data representative of bidirectional forwarding of electronic documents between at least two destinations. | 0.602151 |
9,881,610 | 1 | 4 | 1. An apparatus, comprising: a memory; and a processor operatively coupled to the memory and configured to: determine a vicinity from which speech input to a speech recognition system originates, wherein the determination of the vicinity comprises an estimation of a sound direction of a source of the speech input based on a signal processing method; obtain non-acoustic data from the vicinity of the speech input using one or more non-acoustic sensors, wherein, in the obtaining of the non-acoustic data, the processor is configured to capture visual data of the vicinity of the speech input; identify a subject speaker as the source of the speech input from the obtained non-acoustic data, wherein, in the identification of the subject speaker, the processor is configured to: segment one or more faces from the captured visual data; detect mouth motion on the one or more faces, wherein the detection of the mouth motion comprises an application of temporal differencing on each of the one or more faces by comparing a first pixel intensity associated at a first time with a second pixel intensity at a second time; and select a face corresponding to the subject speaker from the one or more faces in response to a determination that a number of significantly changed pixels between the first pixel intensity and the second pixel intensity exceeds a threshold; extract one or more non-acoustic attributes associated with the subject speaker from the obtained non-acoustic data; analyze the one or more non-acoustic attributes, and assign at least one demographic to the subject speaker based on the analysis; select at least one model for use by the speech recognition system based on the demographic assigned to the subject speaker; adjust the speech recognition system using the at least one selected model; and process the speech input using the adjusted speech recognition system. | 1. An apparatus, comprising: a memory; and a processor operatively coupled to the memory and configured to: determine a vicinity from which speech input to a speech recognition system originates, wherein the determination of the vicinity comprises an estimation of a sound direction of a source of the speech input based on a signal processing method; obtain non-acoustic data from the vicinity of the speech input using one or more non-acoustic sensors, wherein, in the obtaining of the non-acoustic data, the processor is configured to capture visual data of the vicinity of the speech input; identify a subject speaker as the source of the speech input from the obtained non-acoustic data, wherein, in the identification of the subject speaker, the processor is configured to: segment one or more faces from the captured visual data; detect mouth motion on the one or more faces, wherein the detection of the mouth motion comprises an application of temporal differencing on each of the one or more faces by comparing a first pixel intensity associated at a first time with a second pixel intensity at a second time; and select a face corresponding to the subject speaker from the one or more faces in response to a determination that a number of significantly changed pixels between the first pixel intensity and the second pixel intensity exceeds a threshold; extract one or more non-acoustic attributes associated with the subject speaker from the obtained non-acoustic data; analyze the one or more non-acoustic attributes, and assign at least one demographic to the subject speaker based on the analysis; select at least one model for use by the speech recognition system based on the demographic assigned to the subject speaker; adjust the speech recognition system using the at least one selected model; and process the speech input using the adjusted speech recognition system. 4. The apparatus of claim 1 , wherein, in the obtaining of the non-acoustic data, the processor is further configured to locate one or more head regions using the one or more non-acoustic sensors. | 0.736559 |
9,264,861 | 1 | 7 | 1. A computer-implemented method comprising: for each of a plurality of devices: receiving position information of the device's position, and receiving one or more contextual information items associated with the position, the received contextual information items related to at least one of the device and a user associated with the device; for a subject location within a premises, determining, at a server, a label for the subject location by applying the contextual information items associated with the subject location to a location model, the location model implemented by a rules engine comprising one or more rules, the one or more rules include at least one of: whether a percentage of the plurality of devices are detected at the subject location within a time period of the plurality of devices receiving a notification of the one or more contextual information items associated with the subject location, whether a percentage of the plurality of devices are detected at the subject location within a time period of a scheduled event, whether device settings are changed for a percentage of the plurality of devices at the subject location, the changes in device settings include at least one of: changing mobile phone ringtone to vibrate, changing incoming call handling rules to direct calls to voicemail directly, and sending an auto-reply message in response to incoming calls or messages, and whether a percentage of the plurality of devices is engaged in predominantly work-related communication or engaged in predominantly personal communication; and storing the label for the subject location in a memory. | 1. A computer-implemented method comprising: for each of a plurality of devices: receiving position information of the device's position, and receiving one or more contextual information items associated with the position, the received contextual information items related to at least one of the device and a user associated with the device; for a subject location within a premises, determining, at a server, a label for the subject location by applying the contextual information items associated with the subject location to a location model, the location model implemented by a rules engine comprising one or more rules, the one or more rules include at least one of: whether a percentage of the plurality of devices are detected at the subject location within a time period of the plurality of devices receiving a notification of the one or more contextual information items associated with the subject location, whether a percentage of the plurality of devices are detected at the subject location within a time period of a scheduled event, whether device settings are changed for a percentage of the plurality of devices at the subject location, the changes in device settings include at least one of: changing mobile phone ringtone to vibrate, changing incoming call handling rules to direct calls to voicemail directly, and sending an auto-reply message in response to incoming calls or messages, and whether a percentage of the plurality of devices is engaged in predominantly work-related communication or engaged in predominantly personal communication; and storing the label for the subject location in a memory. 7. The computer-implemented method of claim 1 , wherein the one or more rules of the rules engine include whether device settings are changed for a percentage of the plurality of devices at the subject location, the changes in device settings include at least one of: changing mobile phone ringtone to vibrate, changing incoming call handling rules to direct calls to voicemail directly, and sending an auto-reply message in response to incoming calls or messages. | 0.5 |
10,163,024 | 1 | 4 | 1. An electronic device comprising: an acquisition section acquiring image data indicating a document; a detection section analyzing the image data and detecting a marker portion indicated in the image data; a communication section performing communication with either one or a plurality of external servers including at least one of a plurality of dictionary functions; a processing section (i) specifying, from the plurality of dictionary functions included in either the one or the plurality of external servers, a dictionary function in accordance with a type of the marker portion, and (ii) causing the communication section to transmit, to the external server including the specified dictionary function, an instruction to search for a text indicated by the marker portion, and for information related to the text, by using the dictionary function; a generation section, upon reception of information related to the text as a search result from the external server by the communication section, generating a glossary including the received information related to the text; and a storage section storing a first table indicating information for specifying the dictionary function corresponding to each type of a plurality of markers of the marker portion and the external server including the just-mentioned dictionary function, wherein with reference to the first table stored in the storage section, the processing section specifies: the dictionary function corresponding to the type of the marker portion detected by the detection section; and the external server to communicate with, the detection section further detects a way of indicating a marker in the marker portion, the storage section further stores a second table indicating a type of information related to the text corresponding to each way of indicating the marker in the marker portion, and the processing section further (i) specifies, with reference to the second table stored in the storage section, the type of the information related to the text corresponding to the way of indicating the marker in the marker portion, and (ii) causes the communication section to transmit, to the external server, an instruction to search for the information related to the text of the specified type by using the dictionary function. | 1. An electronic device comprising: an acquisition section acquiring image data indicating a document; a detection section analyzing the image data and detecting a marker portion indicated in the image data; a communication section performing communication with either one or a plurality of external servers including at least one of a plurality of dictionary functions; a processing section (i) specifying, from the plurality of dictionary functions included in either the one or the plurality of external servers, a dictionary function in accordance with a type of the marker portion, and (ii) causing the communication section to transmit, to the external server including the specified dictionary function, an instruction to search for a text indicated by the marker portion, and for information related to the text, by using the dictionary function; a generation section, upon reception of information related to the text as a search result from the external server by the communication section, generating a glossary including the received information related to the text; and a storage section storing a first table indicating information for specifying the dictionary function corresponding to each type of a plurality of markers of the marker portion and the external server including the just-mentioned dictionary function, wherein with reference to the first table stored in the storage section, the processing section specifies: the dictionary function corresponding to the type of the marker portion detected by the detection section; and the external server to communicate with, the detection section further detects a way of indicating a marker in the marker portion, the storage section further stores a second table indicating a type of information related to the text corresponding to each way of indicating the marker in the marker portion, and the processing section further (i) specifies, with reference to the second table stored in the storage section, the type of the information related to the text corresponding to the way of indicating the marker in the marker portion, and (ii) causes the communication section to transmit, to the external server, an instruction to search for the information related to the text of the specified type by using the dictionary function. 4. The electronic device according to claim 1 , wherein upon detection of a plurality of marker portions from one piece of image data acquired by the acquisition section, the processing section performs, for each of the plurality of marker portions, processing of specifying the dictionary function and processing of causing the communication section to transmit the instruction to search for the text indicated by the marker portion, and for information related to the text, by using the dictionary function, the communication section receives, from the external server, the information related to the text indicated by each of the plurality of marker portions, and the generation section generates one glossary including the plurality of the information related to the text received by the communication section. | 0.5 |
9,076,039 | 14 | 16 | 14. A system for determining a presence of a material from a hyperspectral image, the system comprising: one or more processors; a memory; a library of spectral signatures including one or more spectral signatures corresponding to a material; a receiver configured to receive a first spectral signature corresponding to a region of interest (ROI) contained in the hyperspectral image; a model generator configured to: create a model search space including two or more models, wherein each of the two or more models corresponds to a subset of spectral signatures in a library, and create, for each of the two or more models, a model spectral signature based on the corresponding subset of spectral signatures in the library, wherein each of the model spectral signatures approximates the first spectral signature; and a material identifier configured to: calculate a cumulative probability of the first spectral signature indicating a presence of a material within the ROI, wherein the cumulative probability is based on a sum of similarity probabilities of models that contain the material as an element, and determine the presence of the material in the ROI based on the cumulative probability. | 14. A system for determining a presence of a material from a hyperspectral image, the system comprising: one or more processors; a memory; a library of spectral signatures including one or more spectral signatures corresponding to a material; a receiver configured to receive a first spectral signature corresponding to a region of interest (ROI) contained in the hyperspectral image; a model generator configured to: create a model search space including two or more models, wherein each of the two or more models corresponds to a subset of spectral signatures in a library, and create, for each of the two or more models, a model spectral signature based on the corresponding subset of spectral signatures in the library, wherein each of the model spectral signatures approximates the first spectral signature; and a material identifier configured to: calculate a cumulative probability of the first spectral signature indicating a presence of a material within the ROI, wherein the cumulative probability is based on a sum of similarity probabilities of models that contain the material as an element, and determine the presence of the material in the ROI based on the cumulative probability. 16. The system of claim 14 , wherein the probability determiner is further configured to determine a background expected value associated with the model search space. | 0.723333 |
9,916,146 | 1 | 4 | 1. A method of analyzing executable software code by decompiling said executable code, comprising: parsing said executable code to identify one or more data flows; recursively, for at least one of the identified data flows: discovering a fitting data flow model; optimizing said fitting data flow model to form a refined data flow model; propagating said refined data flow model until substantially all data variables are modeled; and expressing said refined data flow model in an intermediate representation; parsing said executable code to identify one or more control flows; recursively, for at least one of the identified control flows: discovering a fitting control flow model comprising one or more control branches; optimizing said fitting control flow model to form a refined control flow model; propagating said refined control flow model until substantially all said control branches are modeled; and expressing said refined control flow model in an intermediate representation, wherein said refined data flow model and said refined control flow model express a complete nanocode model of said executable software code in said intermediate representation; and performing vulnerability analysis of the complete nanocode model to identify at least one of a flaw and a vulnerability in said executable code. | 1. A method of analyzing executable software code by decompiling said executable code, comprising: parsing said executable code to identify one or more data flows; recursively, for at least one of the identified data flows: discovering a fitting data flow model; optimizing said fitting data flow model to form a refined data flow model; propagating said refined data flow model until substantially all data variables are modeled; and expressing said refined data flow model in an intermediate representation; parsing said executable code to identify one or more control flows; recursively, for at least one of the identified control flows: discovering a fitting control flow model comprising one or more control branches; optimizing said fitting control flow model to form a refined control flow model; propagating said refined control flow model until substantially all said control branches are modeled; and expressing said refined control flow model in an intermediate representation, wherein said refined data flow model and said refined control flow model express a complete nanocode model of said executable software code in said intermediate representation; and performing vulnerability analysis of the complete nanocode model to identify at least one of a flaw and a vulnerability in said executable code. 4. The method of claim 1 , further comprising: determining that none of the identified flaws or vulnerabilities is unacceptable; and certifying the software as trusted or safe. | 0.820041 |
9,026,701 | 15 | 16 | 15. The system of claim 14 , further comprising: directing means for directing the second request to the first device. | 15. The system of claim 14 , further comprising: directing means for directing the second request to the first device. 16. The system of claim 15 , wherein the request formats comprise: at least one instruction, and data to be used when performing the at least one instruction. | 0.5 |
8,527,671 | 2 | 3 | 2. The method of claim 1 , wherein: said transmit buffer is a first-in-first-out buffer; said operation of the data transfer engine comprises, based on said set up, processing a sequence of descriptors in the data transfer engine; and the processing of the sequence of descriptors comprises: processing a first descriptor operating the data transfer engine to input said read request word into the first-in-first-out transmit buffer; processing one or more subsequent descriptors operating the data transfer engine to input a number of additional words into the first-in-first-out transmit buffer behind the read request word, the number being at least sufficient to fill said first-in-first-out transmit buffer to an upper stall threshold and arranged so as to generate a stall until said response word has been returned from the slave device; and following said subsequent descriptors in the sequence and synchronized to release of said stall of the first-in-first-out transmit buffer, processing one or more control descriptors operating the data transfer engine to perform said disabling of the first-in-first-out receive buffer. | 2. The method of claim 1 , wherein: said transmit buffer is a first-in-first-out buffer; said operation of the data transfer engine comprises, based on said set up, processing a sequence of descriptors in the data transfer engine; and the processing of the sequence of descriptors comprises: processing a first descriptor operating the data transfer engine to input said read request word into the first-in-first-out transmit buffer; processing one or more subsequent descriptors operating the data transfer engine to input a number of additional words into the first-in-first-out transmit buffer behind the read request word, the number being at least sufficient to fill said first-in-first-out transmit buffer to an upper stall threshold and arranged so as to generate a stall until said response word has been returned from the slave device; and following said subsequent descriptors in the sequence and synchronized to release of said stall of the first-in-first-out transmit buffer, processing one or more control descriptors operating the data transfer engine to perform said disabling of the first-in-first-out receive buffer. 3. The method of claim 2 , wherein said number is equal to the stall threshold of said first-in-first-out transmit buffer. | 0.788194 |
9,798,391 | 11 | 15 | 11. A method of operating a device, said method comprising: displaying, by a display device supported by a housing of the device, a play of a game; detecting, by at least one gyroscope supported by the housing, motion of the housing during the play of the game; analyzing, by a controller, the detected motion of the housing and determining, by the controller, whether the detected motion of the housing corresponds to any of a plurality of different designated gestures; and responsive to determining that the detected motion of the housing corresponds to one of the plurality of designated gestures: determining, by the controller, a game input associated with said designated gesture, said determined game input being one of a plurality of different game inputs; determining, by the controller, at least one aspect of the play of the game to modify based on the determined game input; and causing, by the controller, a modification of the determined at least one aspect of the play of the game. | 11. A method of operating a device, said method comprising: displaying, by a display device supported by a housing of the device, a play of a game; detecting, by at least one gyroscope supported by the housing, motion of the housing during the play of the game; analyzing, by a controller, the detected motion of the housing and determining, by the controller, whether the detected motion of the housing corresponds to any of a plurality of different designated gestures; and responsive to determining that the detected motion of the housing corresponds to one of the plurality of designated gestures: determining, by the controller, a game input associated with said designated gesture, said determined game input being one of a plurality of different game inputs; determining, by the controller, at least one aspect of the play of the game to modify based on the determined game input; and causing, by the controller, a modification of the determined at least one aspect of the play of the game. 15. The method of claim 11 , wherein, for a first designated gesture: said first designated gesture is associated with a first game input when the game is a first game, and said first designated gesture is associated with a second different game input when the game is a second different game. | 0.884006 |
9,037,729 | 10 | 11 | 10. The method according to claim 9 , wherein, following the step of receiving the plurality of inbound packets, the method further comprises: classifying the received packet; and assigning priorities to the received packets based on said classifying. | 10. The method according to claim 9 , wherein, following the step of receiving the plurality of inbound packets, the method further comprises: classifying the received packet; and assigning priorities to the received packets based on said classifying. 11. The method according to claim 10 , wherein the step of selectively forwarding one or more of said plurality of packets for SIP processing comprises selectively forwarding one or more packets for SIP processing based on the assigned priorities. | 0.650142 |
7,848,617 | 17 | 23 | 17. A method for recording text subtitle stream, the method comprising: recording, by a device, at least one text subtitle stream, the text subtitle stream including a style segment and one or more presentation segments, the style segment defining at least one region style and the presentation segment containing at least one region of text linked to one of the at least one region style defined in the style segment by an identifier, wherein the presentation segment contains a continuous presentation flag to indicate that whether continuous presentation is required or not between a current presentation segment and a previous presentation segment, and a presentation time information indicating a start time of the presentation segment and an end time of the presentation segment, wherein the at least one region of text included in one presentation segment is linked to the at least one region style specifying a same text flow, wherein if the continuous presentation flag indicates that the continuation presentation is required between the current presentation segment and the previous presentation segment, presentation of the at least one region of text in the previous presentation segment is preserved for presentation of the current presentation segment, wherein the at least one region of text including text data in which one of the at least one region style applied. | 17. A method for recording text subtitle stream, the method comprising: recording, by a device, at least one text subtitle stream, the text subtitle stream including a style segment and one or more presentation segments, the style segment defining at least one region style and the presentation segment containing at least one region of text linked to one of the at least one region style defined in the style segment by an identifier, wherein the presentation segment contains a continuous presentation flag to indicate that whether continuous presentation is required or not between a current presentation segment and a previous presentation segment, and a presentation time information indicating a start time of the presentation segment and an end time of the presentation segment, wherein the at least one region of text included in one presentation segment is linked to the at least one region style specifying a same text flow, wherein if the continuous presentation flag indicates that the continuation presentation is required between the current presentation segment and the previous presentation segment, presentation of the at least one region of text in the previous presentation segment is preserved for presentation of the current presentation segment, wherein the at least one region of text including text data in which one of the at least one region style applied. 23. The method of claim 17 , the method further comprising the step of storing the at least one text subtitle stream on a storage device. | 0.752708 |
8,886,624 | 15 | 16 | 15. The system of claim 9 , wherein the indicator module is configured to generate an independent indicator by indicating characteristics of the associated keyword or the extended keyword, and generate an association indicator by indicating an association between the associated keyword or the extended keyword and other keywords. | 15. The system of claim 9 , wherein the indicator module is configured to generate an independent indicator by indicating characteristics of the associated keyword or the extended keyword, and generate an association indicator by indicating an association between the associated keyword or the extended keyword and other keywords. 16. The system of claim 15 , wherein the processor further comprises: an associated score calculation module configured to numerically express, as an associated score, the association between the associated keyword or the extended keyword and the other keywords based on the association indicator; and a ranking score calculation module configured to calculate a ranking score for each purpose of usage based on the associated score and the independent indicator, wherein the search module is configured to provide, based on the ranking score, the associated keyword or the extended keyword with respect to the search word, the association indicator comprises at least one of a purchase association indicator, an advertising association indicator, a service data association indicator, an exposure association indicator, a subject context association indicator, a knowledge shopping association indicator, and a duplication indicator of each association indicator, and the independent indicator comprises a plurality of indicators including at least one of a common indicator, a cost per click (CPC) indicator, and a cost per mille (CPM) indicator. | 0.5 |
8,595,209 | 16 | 17 | 16. The non-transitory computer-readable storage medium of claim 15 , wherein the computer-executable program instructions are executable to perform time-weighting the action, wherein the ranking of the first idea list or the second idea list is updated based on the popularity of the first idea list or the second idea list. | 16. The non-transitory computer-readable storage medium of claim 15 , wherein the computer-executable program instructions are executable to perform time-weighting the action, wherein the ranking of the first idea list or the second idea list is updated based on the popularity of the first idea list or the second idea list. 17. The method of claim 16 , wherein one or more of the first idea list and the second idea list are time-weighted for seasonal changes. | 0.5 |
9,873,428 | 1 | 5 | 1. A system for an autonomous vehicle comprising: two or more microphones mounted to the autonomous vehicle; a controller executing a pre-processor programmed to detect audio features in two or more audio streams from the two or more microphones; a collision avoidance module programmed to classify the audio features and a direction to a source thereof, and, if the class for the sound source is a vehicle, invoke obstacle avoidance with respect to the direction; wherein the collision avoidance module is further programmed to: classify the audio features by inputting the audio features into a machine learning model; and wherein the machine-learning model outputs a confidence value indicating a probability that the audio features correspond to a vehicle. | 1. A system for an autonomous vehicle comprising: two or more microphones mounted to the autonomous vehicle; a controller executing a pre-processor programmed to detect audio features in two or more audio streams from the two or more microphones; a collision avoidance module programmed to classify the audio features and a direction to a source thereof, and, if the class for the sound source is a vehicle, invoke obstacle avoidance with respect to the direction; wherein the collision avoidance module is further programmed to: classify the audio features by inputting the audio features into a machine learning model; and wherein the machine-learning model outputs a confidence value indicating a probability that the audio features correspond to a vehicle. 5. The system of claim 1 , wherein the collision avoidance module is further programmed to identify the audio features by filtering the two or more audio streams to obtain two or more filtered signals each including one or more of the audible features. | 0.782383 |
9,792,361 | 1 | 10 | 1. A computer implemented system for presenting social network provided outputs to a mobile electronic device dependent on a location, in response to the mobile electronic device user's input, comprising: a hardware data input port configured to receive information from the mobile electronic device user defining the user input; an automated hardware processor configured to define a user request dependent on the user input and metadata associated with the received information from the mobile electronic device user, comprising at least the location of the mobile electronic device determined by an automated hardware geospatial positioning system; an automated hardware communication interface port configured to: automatically transmit the user request to a social network database comprising a plurality of roadway condition records having time information and location information associated with respective roadway conditions; automatically receive location-dependent social network information from the social network database, selectively dependent on the transmitted user request; and communicate a message dependent on the received location-dependent social network information for creating a new record in the social network database, comprising time information and location information of a respective roadway condition; an automated hardware user interface configured to selectively present the received social network information ranked according to at least one social network ranking factor. | 1. A computer implemented system for presenting social network provided outputs to a mobile electronic device dependent on a location, in response to the mobile electronic device user's input, comprising: a hardware data input port configured to receive information from the mobile electronic device user defining the user input; an automated hardware processor configured to define a user request dependent on the user input and metadata associated with the received information from the mobile electronic device user, comprising at least the location of the mobile electronic device determined by an automated hardware geospatial positioning system; an automated hardware communication interface port configured to: automatically transmit the user request to a social network database comprising a plurality of roadway condition records having time information and location information associated with respective roadway conditions; automatically receive location-dependent social network information from the social network database, selectively dependent on the transmitted user request; and communicate a message dependent on the received location-dependent social network information for creating a new record in the social network database, comprising time information and location information of a respective roadway condition; an automated hardware user interface configured to selectively present the received social network information ranked according to at least one social network ranking factor. 10. The computer implemented system according to claim 1 , wherein the received social network information is ranked according to a combination of ranking factors comprising a proximity of a location associated with a respective record and the location of the mobile electronic device. | 0.701258 |
9,152,396 | 10 | 13 | 10. A non-transitory computer storage medium encoded with a computer program, the program comprising instructions for managing user interface (UI) building blocks (UIBB) that when executed by one or more computers cause the one or more computers to perform operations comprising: presenting, by a form repeater UIBB, initial UI representations of two or more structured entities through a graphical user interface (GUI), each initial UI representation of the two or more structured entities comprising one or more fields; receiving a trigger from a user through the form repeater UIBB, the trigger associated with a particular initial UI representation of a particular structured entity of the two or more structured entities; in response to receiving the trigger, identifying an event condition ID associated with the trigger; matching the event condition ID to a stored ID value; based on the matching, identifying i) a substitute UI representation of the particular structured entity, ii) an event condition, and iii) a type of the event condition, wherein the substitute UI representation of the particular structured entity includes one or more fields that differ from the one or more fields of the particular initial UI representation of the particular structured entity; determining that the event condition identifies that an origination of the trigger is associated with the particular initial UI representation, and that the type of the event condition includes a swapping-in event condition; based on the determination that the event condition identifies that the origination of the trigger is associated with the particular initial UI representation, and that the type of the event condition includes the swapping-in event condition, replacing, by a substitute UIBB, the particular initial UI representation of the particular structured entity of the two or more structured entities with the identified substitute UI representation of the particular structured entity; removing the particular initial UI representation of the particular structured entity from the form repeater UIBB; and maintaining the initial UI representation of the remaining structured entities of the two or more structured entities concurrently with replacing the particular initial UI representation of the particular structured entity with the identified substitute UI representation of the particular structured entity. | 10. A non-transitory computer storage medium encoded with a computer program, the program comprising instructions for managing user interface (UI) building blocks (UIBB) that when executed by one or more computers cause the one or more computers to perform operations comprising: presenting, by a form repeater UIBB, initial UI representations of two or more structured entities through a graphical user interface (GUI), each initial UI representation of the two or more structured entities comprising one or more fields; receiving a trigger from a user through the form repeater UIBB, the trigger associated with a particular initial UI representation of a particular structured entity of the two or more structured entities; in response to receiving the trigger, identifying an event condition ID associated with the trigger; matching the event condition ID to a stored ID value; based on the matching, identifying i) a substitute UI representation of the particular structured entity, ii) an event condition, and iii) a type of the event condition, wherein the substitute UI representation of the particular structured entity includes one or more fields that differ from the one or more fields of the particular initial UI representation of the particular structured entity; determining that the event condition identifies that an origination of the trigger is associated with the particular initial UI representation, and that the type of the event condition includes a swapping-in event condition; based on the determination that the event condition identifies that the origination of the trigger is associated with the particular initial UI representation, and that the type of the event condition includes the swapping-in event condition, replacing, by a substitute UIBB, the particular initial UI representation of the particular structured entity of the two or more structured entities with the identified substitute UI representation of the particular structured entity; removing the particular initial UI representation of the particular structured entity from the form repeater UIBB; and maintaining the initial UI representation of the remaining structured entities of the two or more structured entities concurrently with replacing the particular initial UI representation of the particular structured entity with the identified substitute UI representation of the particular structured entity. 13. The non-transitory computer storage medium of claim 10 , the operations further comprising matching the event condition ID to the stored ID value stored in a form repeater configuration table. | 0.932969 |
9,626,408 | 5 | 6 | 5. A computer program product for processing hierarchical data in a relational database, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a device to cause the device to perform a method comprising: receiving, by a device, an input parameter in an initial query for querying an array in a hierarchical data object stored in a table of a relational database; transforming, by the device, the initial query into a transformed query configured to place all elements of the array into a different table and to apply a sub-query against the table for the input parameter; explicitly typecasting, by the device, the elements of the array to a specified data type and responding to a failure of the typecasting by returning, by the device, a NULL value to the relational engine, and limiting, by the device, a character size of the elements of the array to a specified width and responding to an element of the array having a character size that exceeds the specified width by returning, by the device, a NULL value to the relational engine; applying, by the device, predicate evaluation logic of a relational engine of the relational database to the transformed query; mapping, by the device, the transformed query to the initial query; and, responsive to receiving a subsequent instance of the initial query, referring, by the device, to the mapping to replace the initial query with the transformed query and subsequently applying the predicate evaluation logic of the relational engine to the transformed query. | 5. A computer program product for processing hierarchical data in a relational database, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a device to cause the device to perform a method comprising: receiving, by a device, an input parameter in an initial query for querying an array in a hierarchical data object stored in a table of a relational database; transforming, by the device, the initial query into a transformed query configured to place all elements of the array into a different table and to apply a sub-query against the table for the input parameter; explicitly typecasting, by the device, the elements of the array to a specified data type and responding to a failure of the typecasting by returning, by the device, a NULL value to the relational engine, and limiting, by the device, a character size of the elements of the array to a specified width and responding to an element of the array having a character size that exceeds the specified width by returning, by the device, a NULL value to the relational engine; applying, by the device, predicate evaluation logic of a relational engine of the relational database to the transformed query; mapping, by the device, the transformed query to the initial query; and, responsive to receiving a subsequent instance of the initial query, referring, by the device, to the mapping to replace the initial query with the transformed query and subsequently applying the predicate evaluation logic of the relational engine to the transformed query. 6. The computer program product of claim 5 , wherein the hierarchical data object is a Javascript Object Notation (JSON) object. | 0.546099 |
7,899,666 | 25 | 26 | 25. The system of claim 1 wherein each of the synsets is stored in a table and is defined by fields including: a synset ID, a grammar type, a list of lemmas, a set of attributes, a set of semantic links, and a gloss. | 25. The system of claim 1 wherein each of the synsets is stored in a table and is defined by fields including: a synset ID, a grammar type, a list of lemmas, a set of attributes, a set of semantic links, and a gloss. 26. The system of claim 25 wherein each lemma and is defined by fields including: a list of synset IDs, and lemma attributes. | 0.5 |
8,050,906 | 1 | 4 | 1. A computerized method for translating text, the method comprising: receiving a set of text to be translated from a first source, the set of text comprising an expression of complete thought; receiving one or more translations for the set of text; inserting the one or more translations and a context for each of the one or more translations into a translation database to create one or more reusable translated text segments; wherein the context is part of a hierarchy of contexts having a plurality of levels wherein the plurality of levels define a search order; receiving a translation language indicator; receiving a set of text to be translated from a second source; receiving source context data for the translation; parsing the set of text into a plurality of input text segments, wherein the text segments comprise a plurality of words comprising an expression of complete thought; and for each of at least a subset of the plurality of input text segments: retrieving from the translation database a reusable translated text segment of the one or more reusable translated text segments in the translation language corresponding to the input text segment, wherein context data is associated with the plurality of words for the reusable translated text segment and corresponds to the source context data and is selected according to the level in the hierarchy of contexts, and wherein the context data indicates a meaning or intended audience for the reusable translated text; outputting the reusable translated text segment; and coding the translated text in the output according to the level in the hierarchy of context where the match exists. | 1. A computerized method for translating text, the method comprising: receiving a set of text to be translated from a first source, the set of text comprising an expression of complete thought; receiving one or more translations for the set of text; inserting the one or more translations and a context for each of the one or more translations into a translation database to create one or more reusable translated text segments; wherein the context is part of a hierarchy of contexts having a plurality of levels wherein the plurality of levels define a search order; receiving a translation language indicator; receiving a set of text to be translated from a second source; receiving source context data for the translation; parsing the set of text into a plurality of input text segments, wherein the text segments comprise a plurality of words comprising an expression of complete thought; and for each of at least a subset of the plurality of input text segments: retrieving from the translation database a reusable translated text segment of the one or more reusable translated text segments in the translation language corresponding to the input text segment, wherein context data is associated with the plurality of words for the reusable translated text segment and corresponds to the source context data and is selected according to the level in the hierarchy of contexts, and wherein the context data indicates a meaning or intended audience for the reusable translated text; outputting the reusable translated text segment; and coding the translated text in the output according to the level in the hierarchy of context where the match exists. 4. The method of claim 1 , wherein the hierarchy of contexts includes a company criterion. | 0.848485 |
9,141,886 | 2 | 11 | 2. The method according to claim 1 , to which is added, following the second recognition step, a specialised recognition step comprising a step of classification and then selection of the best candidates and a step of global filtering and then selection of the best candidates, wherein the specialised recognition step uses the image colour information. | 2. The method according to claim 1 , to which is added, following the second recognition step, a specialised recognition step comprising a step of classification and then selection of the best candidates and a step of global filtering and then selection of the best candidates, wherein the specialised recognition step uses the image colour information. 11. The method according to claim 2 , to which is added, following the second recognition step, a specialised recognition step comprising a step of classification and then selection of the best candidates and a step of global filtering and then selection of the best candidates, wherein the specialised recognition step distinguishes between products that are identical to within a few details, using visual identification algorithms. | 0.5 |
8,737,602 | 12 | 14 | 12. A method of splitting an audio signal wherein the split audio signal is configured to be transcribed by a speech to text engine, comprising: providing a passive, non-amplified audio switch; receiving at the passive, non-amplified audio switch, first audio in from a first user to be directed to both a second user and a voice platform, wherein the voice platform is further configured to transcribe the audio using the speech to text engine; splitting by the passive, non-amplified audio switch the first audio in to at least a first audio out and a second audio out; and directing the first audio out to a second user and directing the second audio out to the voice platform. | 12. A method of splitting an audio signal wherein the split audio signal is configured to be transcribed by a speech to text engine, comprising: providing a passive, non-amplified audio switch; receiving at the passive, non-amplified audio switch, first audio in from a first user to be directed to both a second user and a voice platform, wherein the voice platform is further configured to transcribe the audio using the speech to text engine; splitting by the passive, non-amplified audio switch the first audio in to at least a first audio out and a second audio out; and directing the first audio out to a second user and directing the second audio out to the voice platform. 14. The method of claim 12 comprising grounding the passive, non-amplified audio switch to inhibit static electrical discharge. | 0.699052 |
8,672,681 | 9 | 14 | 9. A system for conditioning a child to learn any language without an accent, comprising: logic implemented via hardware logic circuitry configured to form a derivative set of sounds from a full International Phonetic Alphabet (IPA) set, by removing a native language IPA set from the full IPA set, wherein the native language is at least one native language of the child; logic implemented via hardware logic circuitry configured to form a sequenced derivative set of sounds by sequencing the derivative set according to aspects of the derivative set, wherein aspects are selected from the group consisting of consonants, vowels, and tones; logic implemented via hardware logic circuitry configured to select words in foreign languages that use at least one aspect of the sequenced derivative set each; logic implemented via hardware logic circuitry configured to embed the selected words in an easy to follow format comprising a category according to one aspect, in the native language of the child; and logic implemented via hardware logic circuitry configured to play the easy to follow format with the embedded words according to the category of the sequenced derivative set. | 9. A system for conditioning a child to learn any language without an accent, comprising: logic implemented via hardware logic circuitry configured to form a derivative set of sounds from a full International Phonetic Alphabet (IPA) set, by removing a native language IPA set from the full IPA set, wherein the native language is at least one native language of the child; logic implemented via hardware logic circuitry configured to form a sequenced derivative set of sounds by sequencing the derivative set according to aspects of the derivative set, wherein aspects are selected from the group consisting of consonants, vowels, and tones; logic implemented via hardware logic circuitry configured to select words in foreign languages that use at least one aspect of the sequenced derivative set each; logic implemented via hardware logic circuitry configured to embed the selected words in an easy to follow format comprising a category according to one aspect, in the native language of the child; and logic implemented via hardware logic circuitry configured to play the easy to follow format with the embedded words according to the category of the sequenced derivative set. 14. The system of claim 9 , wherein the selected words in foreign languages that use at least one aspect of the sequenced derivative set each are words that are easy to portray visually. | 0.752 |
8,886,520 | 3 | 31 | 3. The apparatus of claim 1 wherein the processor is further configured to (1) receive source data relating to a subject, (2) compute a plurality of derived features based at least in part on the received source data, wherein the data processed by the processing operation comprises the source data and the derived features, and (3) generate an evaluation indicator indicative of whether a narrative story relating to the processed data that incorporates a story angle of the angle set data structure whose applicability conditions were satisfied by the processed data is to be generated. | 3. The apparatus of claim 1 wherein the processor is further configured to (1) receive source data relating to a subject, (2) compute a plurality of derived features based at least in part on the received source data, wherein the data processed by the processing operation comprises the source data and the derived features, and (3) generate an evaluation indicator indicative of whether a narrative story relating to the processed data that incorporates a story angle of the angle set data structure whose applicability conditions were satisfied by the processed data is to be generated. 31. The apparatus of claim 3 wherein the processor is further configured to (1) automatically generate a narrative story about the subject using the angle set data structure in response to the evaluation indicator indicating that the narrative story is to be generated, wherein the story angle data of the angle set data structure further comprises, for each story angle, data representative of a trigger status for that story angle, the trigger status being indicative of whether that story angle is to be evaluated during the processing operation, and wherein the processing operation is configured to process the data against the story angle data in the angle data structure having a trigger status indicative of that story angle to be used by the processing operation. | 0.5 |
8,271,351 | 25 | 33 | 25. A product summary generator for automatically generating a naturally reading narrative product summary including assertions about a specific product selected by a user, said product summary generator comprising: a processor coupled to a memory device configured to execute: a product attribute module adapted to determine at least one attribute associated with said specific product, said attribute including at least one of an attribute name, an attribute value, and an attribute unit; an alternative product selection module adapted to select an alternative product based on said at least one attribute; and a summary generation module adapted to generate a naturally reading narrative by combining said at least one attribute and said alternative product with one or more retrieved assertion models so that said narrative includes a recommendation of said alternative product. | 25. A product summary generator for automatically generating a naturally reading narrative product summary including assertions about a specific product selected by a user, said product summary generator comprising: a processor coupled to a memory device configured to execute: a product attribute module adapted to determine at least one attribute associated with said specific product, said attribute including at least one of an attribute name, an attribute value, and an attribute unit; an alternative product selection module adapted to select an alternative product based on said at least one attribute; and a summary generation module adapted to generate a naturally reading narrative by combining said at least one attribute and said alternative product with one or more retrieved assertion models so that said narrative includes a recommendation of said alternative product. 33. The product summary generator of claim 25 , further comprising an assertion model module adapted to retrieve said one or more assertion models, wherein said one or more section models define forms in which an assertion can be used to generate the naturally reading narrative. | 0.5 |
9,798,801 | 9 | 17 | 9. The method in accordance with claim 8 , at least one of the first set of query results comprising a table, and the second set of query results comprising a modified table. | 9. The method in accordance with claim 8 , at least one of the first set of query results comprising a table, and the second set of query results comprising a modified table. 17. The method in accordance with claim 9 , at least one of the one or more changes comprising a change to a syntactic model of the natural language interpretation model. | 0.572864 |
10,134,386 | 10 | 16 | 10. A system for identifying content corresponding to a language, the system comprising: storage circuitry configured to store a first association between a first phoneme sequence and a first language and a second association between a second phoneme sequence and a second language; control circuitry configured to: generate a phoneme sequence based on verbal input received from a first user; determine which one of the first and second phoneme sequences, associated respectively with the first and second languages, corresponds to the generated phoneme sequence; automatically determine, with voice recognition circuitry, that a language spoken by the first user corresponds to the first language based on determining that the first phoneme sequence corresponds to the generated phoneme sequence; measure a first duration of the received first verbal input representing how often the first language is spoken in the household; store the first duration in a database that associates the first duration with the first language; measure a second duration of second verbal input received subsequent to the first verbal input representing how often the second language is spoken in the household, wherein the second verbal input corresponds to the second language; store a second duration in the database that associates the second duration with the second language; compare the first duration to the second duration; in response to determining that the first duration is greater than the second duration, determining that the first language is spoken more often than the second language in the household; search a database of content sources to identify a content source associated with a language field value that corresponds to the first language based on determining that the first language is spoken more often than the second language in the household, wherein the language field in the database identifies the language that the associated content source transmits content to a plurality of users; and generate for display a representation of the identified content source to the first user. | 10. A system for identifying content corresponding to a language, the system comprising: storage circuitry configured to store a first association between a first phoneme sequence and a first language and a second association between a second phoneme sequence and a second language; control circuitry configured to: generate a phoneme sequence based on verbal input received from a first user; determine which one of the first and second phoneme sequences, associated respectively with the first and second languages, corresponds to the generated phoneme sequence; automatically determine, with voice recognition circuitry, that a language spoken by the first user corresponds to the first language based on determining that the first phoneme sequence corresponds to the generated phoneme sequence; measure a first duration of the received first verbal input representing how often the first language is spoken in the household; store the first duration in a database that associates the first duration with the first language; measure a second duration of second verbal input received subsequent to the first verbal input representing how often the second language is spoken in the household, wherein the second verbal input corresponds to the second language; store a second duration in the database that associates the second duration with the second language; compare the first duration to the second duration; in response to determining that the first duration is greater than the second duration, determining that the first language is spoken more often than the second language in the household; search a database of content sources to identify a content source associated with a language field value that corresponds to the first language based on determining that the first language is spoken more often than the second language in the household, wherein the language field in the database identifies the language that the associated content source transmits content to a plurality of users; and generate for display a representation of the identified content source to the first user. 16. The system of claim 10 , wherein the representation is included in an overlay on top of content currently being generated for display. | 0.902542 |
9,697,826 | 8 | 9 | 8. The system of claim 6 , wherein combining the convolution outputs comprises applying a rectified non-linearity to the sets of pooled values for each of the multiple filters to obtain rectified values; wherein inputting the combined convolution outputs to the deep neural network comprises inputting the rectified values to the deep neural network. | 8. The system of claim 6 , wherein combining the convolution outputs comprises applying a rectified non-linearity to the sets of pooled values for each of the multiple filters to obtain rectified values; wherein inputting the combined convolution outputs to the deep neural network comprises inputting the rectified values to the deep neural network. 9. The system of claim 8 , wherein the rectified non-linearity comprises a logarithm compression. | 0.5 |
9,921,072 | 5 | 8 | 5. A computing apparatus having at least one microprocessor and memory storing instructions configured to instruct the at least one microprocessor to perform operations, the computing apparatus comprising: a location information receiver configured to receive, from a user device, route data identifying routes previously traversed by a user device of a user associated with a consumer account, and one or more vertices of a portion of a route currently being traversed by the user based on GPS data; a route dictionary builder configured to organize the route data into a route dictionary, wherein: the route dictionary includes a plurality of route words identifying a plurality of routes previously traversed by the user, each respective route word in the route dictionary includes an ordered sequence of symbols, each of symbols in the plurality of route words identifying a predetermined vertex in the plurality of routes previously traversed by a user; and the computer apparatus stores term frequency data of the route words of the user based on frequencies with which the user has traversed respective routes represented by the route words; a route predictor configured to: generate a partial route word from a starting sequence of symbols representing the one or more vertices respectively of a portion of the route currently being traversed by the user; predict, using a text prediction technique for predicting from a given partial word a complete word in a dictionary according to term frequency, a particular route word in the route dictionary containing the partial route word, identify a remaining sequence of symbols that follows the starting sequence of symbols in the particular route word, and predict a remaining portion of the route that is currently being traversed by the user as being identified by a set of vertices corresponding to the remaining sequence of symbols in the particular route word; and a route information transmitter configured to: identify data based on the remaining portion of the route predicted to be identified by the set of vertices corresponding to the remaining sequence of symbols in the particular route word, and transmit, to the user device, the data before the user completes the predicted, remaining portion of the route. | 5. A computing apparatus having at least one microprocessor and memory storing instructions configured to instruct the at least one microprocessor to perform operations, the computing apparatus comprising: a location information receiver configured to receive, from a user device, route data identifying routes previously traversed by a user device of a user associated with a consumer account, and one or more vertices of a portion of a route currently being traversed by the user based on GPS data; a route dictionary builder configured to organize the route data into a route dictionary, wherein: the route dictionary includes a plurality of route words identifying a plurality of routes previously traversed by the user, each respective route word in the route dictionary includes an ordered sequence of symbols, each of symbols in the plurality of route words identifying a predetermined vertex in the plurality of routes previously traversed by a user; and the computer apparatus stores term frequency data of the route words of the user based on frequencies with which the user has traversed respective routes represented by the route words; a route predictor configured to: generate a partial route word from a starting sequence of symbols representing the one or more vertices respectively of a portion of the route currently being traversed by the user; predict, using a text prediction technique for predicting from a given partial word a complete word in a dictionary according to term frequency, a particular route word in the route dictionary containing the partial route word, identify a remaining sequence of symbols that follows the starting sequence of symbols in the particular route word, and predict a remaining portion of the route that is currently being traversed by the user as being identified by a set of vertices corresponding to the remaining sequence of symbols in the particular route word; and a route information transmitter configured to: identify data based on the remaining portion of the route predicted to be identified by the set of vertices corresponding to the remaining sequence of symbols in the particular route word, and transmit, to the user device, the data before the user completes the predicted, remaining portion of the route. 8. The computing apparatus of claim 5 , wherein the computing apparatus further comprises instructions for: updating a count of at least one of the routes when the user traverses along the at least one route; adding a new route to the route dictionary when it is determined that a route traversed by a user is not encoded in the route dictionary; and initializing a count of the new route to one upon adding the new route to the route dictionary. | 0.5 |
8,015,418 | 2 | 3 | 2. The apparatus of claim 1 , wherein said selected portions include words, said server further comprising: means for determining a preferred order of said words in said selected portions. | 2. The apparatus of claim 1 , wherein said selected portions include words, said server further comprising: means for determining a preferred order of said words in said selected portions. 3. The apparatus of claim 2 , wherein said means for transferring further comprises: means for transferring words in said selected portions in said preferred order. | 0.5 |
8,694,555 | 1 | 2 | 1. A computer-assisted method of processing a drug information source, the drug information source comprising at least one instance of drug rule content, each instance of drug rule content comprising at least one drug rule, the method comprising: creating a drug rule syntax; detecting at least one instance of drug rule content from a drug information source; and parsing drug rule elements from at least one identified instance of drug rule content into the drug rule syntax, retaining associations between those drug rule elements that form a drug rule, whereby a subset of the drug information source is processed into syntax-parsed drug rules. | 1. A computer-assisted method of processing a drug information source, the drug information source comprising at least one instance of drug rule content, each instance of drug rule content comprising at least one drug rule, the method comprising: creating a drug rule syntax; detecting at least one instance of drug rule content from a drug information source; and parsing drug rule elements from at least one identified instance of drug rule content into the drug rule syntax, retaining associations between those drug rule elements that form a drug rule, whereby a subset of the drug information source is processed into syntax-parsed drug rules. 2. The method of claim 1 wherein drug source information comprises at least one of: drug label information; and drug literature information. | 0.593023 |
9,990,936 | 8 | 12 | 8. An apparatus for separating speech data from background data in an audio communication, comprising: an applying unit for applying a spectral speech model to the audio communication for separating the speech data from the background data of the audio communication; and an updating unit for updating the spectral speech model as a function of the speech data and the background data during the audio communication. | 8. An apparatus for separating speech data from background data in an audio communication, comprising: an applying unit for applying a spectral speech model to the audio communication for separating the speech data from the background data of the audio communication; and an updating unit for updating the spectral speech model as a function of the speech data and the background data during the audio communication. 12. The apparatus according to claim 8 , further comprising: a storing unit configured to store the updated spectral speech model after the audio communication for using in a next audio communication. | 0.604743 |
8,109,765 | 11 | 12 | 11. The method of claim 10 further comprising: providing a color based indication for words meeting both sets of fluency and pronunciation accuracy criteria using a first color; providing a color based indication for words receiving an audio intervention using a second color; and providing a color based indication for words not receiving an audio intervention and not meeting the second set of criteria using a third color. | 11. The method of claim 10 further comprising: providing a color based indication for words meeting both sets of fluency and pronunciation accuracy criteria using a first color; providing a color based indication for words receiving an audio intervention using a second color; and providing a color based indication for words not receiving an audio intervention and not meeting the second set of criteria using a third color. 12. The method of claim 11 further comprising providing a color based indication for words which received a visual intervention, but not an audio intervention, using the third color. | 0.5 |
9,666,181 | 4 | 5 | 4. The system memory of claim 3 , wherein the method further comprises comparing an acoustic feature of the test stimulus to an acoustic feature of the associated user response. | 4. The system memory of claim 3 , wherein the method further comprises comparing an acoustic feature of the test stimulus to an acoustic feature of the associated user response. 5. The system memory of claim 4 , wherein the acoustic feature comprises at least one of a cepstral coefficient and a speech feature. | 0.5 |
7,707,642 | 24 | 27 | 24. The software product of claim 23 , wherein the actions-taken information comprises information related to authenticated user interactions with the electronic document. | 24. The software product of claim 23 , wherein the actions-taken information comprises information related to authenticated user interactions with the electronic document. 27. The software product of claim 24 , wherein the information related to authenticated user interactions with the electronic document comprises audited consent statements. | 0.680297 |
10,162,605 | 1 | 4 | 1. A system to complete a code snippet to define an object literal, the system comprising: memory; and one or more processors coupled to the memory, the one or more processors configured to: provide a proxy object to a function that is included in code; perform global dynamic analysis by using a getter trap that is included in the proxy object to extract information regarding one or more properties of the object literal from the code, which includes the function; and generate a recommendation that recommends content for completion of the code snippet to define the object literal based at least in part on the information, the content identifying the one or more properties of the object literal. | 1. A system to complete a code snippet to define an object literal, the system comprising: memory; and one or more processors coupled to the memory, the one or more processors configured to: provide a proxy object to a function that is included in code; perform global dynamic analysis by using a getter trap that is included in the proxy object to extract information regarding one or more properties of the object literal from the code, which includes the function; and generate a recommendation that recommends content for completion of the code snippet to define the object literal based at least in part on the information, the content identifying the one or more properties of the object literal. 4. The system of claim 1 , wherein the one or more processors are configured to infer one or more syntaxes of the one or more respective properties based at least in part on the information. | 0.805726 |
7,936,913 | 1 | 12 | 1. A hematology review network comprising: a slide imager including a low magnification optical path and a high magnification optical path, and configured to receive a blood smear slide, obtain a low magnification image of at least a portion of the blood smear slide, and obtain at least one high magnification image of a portion of the blood smear slide; an image server operably coupled to the slide imager and configured to compute an area of interest within the low magnification image, direct the slide imager to obtain one or more high magnification images of the entire area of interest, identify a plurality of white blood cells in the one or more high magnification images, and recompute and rescan a larger area of interest in at least one high magnification image if the count of white blood cells identified in the at least one high magnification image is below a threshold value; a web server including a workflow management application, the web server configured to store and disseminate the at least one high magnification image to one of a plurality of reviewers, the specific reviewer selected by the workflow management application based on a plurality of programmable parameters; and at least one review station configured to communicate with the web server, display the at least one high magnification image, and receive an image information input from the specific reviewer, wherein the image information input is stored on the web server. | 1. A hematology review network comprising: a slide imager including a low magnification optical path and a high magnification optical path, and configured to receive a blood smear slide, obtain a low magnification image of at least a portion of the blood smear slide, and obtain at least one high magnification image of a portion of the blood smear slide; an image server operably coupled to the slide imager and configured to compute an area of interest within the low magnification image, direct the slide imager to obtain one or more high magnification images of the entire area of interest, identify a plurality of white blood cells in the one or more high magnification images, and recompute and rescan a larger area of interest in at least one high magnification image if the count of white blood cells identified in the at least one high magnification image is below a threshold value; a web server including a workflow management application, the web server configured to store and disseminate the at least one high magnification image to one of a plurality of reviewers, the specific reviewer selected by the workflow management application based on a plurality of programmable parameters; and at least one review station configured to communicate with the web server, display the at least one high magnification image, and receive an image information input from the specific reviewer, wherein the image information input is stored on the web server. 12. The hematology review network of claim 1 wherein the web server and image server are configured to aggregate high magnification images of blood smears and related metadata across multiple patient populations, and provide the aggregated image and metadata to a data mining application such that Health Insurance Portability and Accountability Act of 1996 (HIPAA) sensitive information is not disclosed. | 0.5 |
7,672,935 | 10 | 12 | 10. A system comprising: a lightweight directory access protocol (LDAP) repository; a LDAP directory server including a tracking module to track statistical data related to LDAP queries that are each in the form of a filter that is a logical expression including search terms related to data to be retrieved for the query, wherein the statistical data includes at least one of an access frequency of each filter, an evaluation time of each filter, a time that a request for each filter is received, system load when the request for each filter is received, and a number of entries processed for each filter; and an index management module as part of the LDAP directory server to: evaluate the filters in terms of their associated statistical data in order to determine a dynamic ranking for each filter; generate one or more LDAP indices for each of the filters; select a defined number of the one or more LDAP indices with a highest dynamic ranking to maintain in the LDAP repository; and delete one or more remaining LDAP indices that are not selected for maintenance; wherein the statistical data is updated each time the LDAP directory server receives another query, and the index management module to repeatedly select and delete the one or more remaining LDAP indices using updated dynamic rankings based on the updated statistical data on an on-going basis. | 10. A system comprising: a lightweight directory access protocol (LDAP) repository; a LDAP directory server including a tracking module to track statistical data related to LDAP queries that are each in the form of a filter that is a logical expression including search terms related to data to be retrieved for the query, wherein the statistical data includes at least one of an access frequency of each filter, an evaluation time of each filter, a time that a request for each filter is received, system load when the request for each filter is received, and a number of entries processed for each filter; and an index management module as part of the LDAP directory server to: evaluate the filters in terms of their associated statistical data in order to determine a dynamic ranking for each filter; generate one or more LDAP indices for each of the filters; select a defined number of the one or more LDAP indices with a highest dynamic ranking to maintain in the LDAP repository; and delete one or more remaining LDAP indices that are not selected for maintenance; wherein the statistical data is updated each time the LDAP directory server receives another query, and the index management module to repeatedly select and delete the one or more remaining LDAP indices using updated dynamic rankings based on the updated statistical data on an on-going basis. 12. The system of claim 10 , wherein index management module deletes the one or more remaining LDAP indices if their dynamic ranking falls below a threshold level. | 0.5 |
9,256,736 | 13 | 15 | 13. A non-transitory computer-readable storage medium having computer-executable instructions, wherein the computer-executable instructions, when executed by one or more computer processors, cause the one or more computer processors to: acquire webpage query requests submitted by a plurality of clients; crawl the webpage based on the acquired webpage query requests and acquiring crawled webpage contents; count up a referenced value of a uniform resource locator (URL) based on the crawled webpage contents; and call a predetermined detection program based on the referenced value of the URL to perform malicious attribute detection of the URL. | 13. A non-transitory computer-readable storage medium having computer-executable instructions, wherein the computer-executable instructions, when executed by one or more computer processors, cause the one or more computer processors to: acquire webpage query requests submitted by a plurality of clients; crawl the webpage based on the acquired webpage query requests and acquiring crawled webpage contents; count up a referenced value of a uniform resource locator (URL) based on the crawled webpage contents; and call a predetermined detection program based on the referenced value of the URL to perform malicious attribute detection of the URL. 15. The non-transitory computer-readable storage medium of claim 13 , wherein counting up the referenced value of the URL based on the citation information of the external links comprises: classifying URLs by domain name based on domain information, and counting up referenced values of the URLs under different domain categories based on the citation information of the external links. | 0.708459 |
7,536,384 | 12 | 15 | 12. A system for searching for and presenting content items as an arrangement of conceptual clusters to facilitate further search and navigation on a display- constrained device, the system comprising: a database stored in an electronically readable storage, medium for cataloging a relatively large set of content items, at least some of the content items having metadata to specify explicit concepts associated with the content items, and at least some of the metadata including phrases having more than one metadata term; an electronically readable medium containing instructions for causing a computer system to: input logic for receive from a user incremental input to incrementally identify more than one search term for desired content items; select from the relatively large set of content items: a first set of content items, wherein all search terms match metadata terms of a single one of the metadata phrases of each content item of said first set; a second set of content items, wherein a first subset of the search terms matches at least one metadata term of at least a first metadata phrase of each content item of said second set; and a third set of content items, wherein a second subset of the search terms matches at least one metadata term of at least a second metadata phrase of each content item of said third set, the first metadata phrase differing from the second metadata phrase; for group the content items the second and third sets have in common to form an intersection set for user-implied concepts inferred from the explicit concepts associated with the metadata of the content items of the intersection set; organize the content items of the first set and the intersection set into conceptual cluster sets: the content items of the first set being organized into explicit conceptual cluster sets based on the metadata phrases having metadata terms matching the search terms so that content items having a same metadata phrase matching the search terms are clustered together; and the content items of the intersection set being organized into user-implied conceptual clusters based on at least the first and second metadata phrases the content items of the intersection set have in common so that content items having same first and second metadata phrases matching the search terms are clustered together; and present on the display-constrained device the content items organized into the explicit conceptual cluster sets and the user-implied conceptual cluster sets: each explicit conceptual cluster set identified based on the metadata phrase common to the content items of said explicit conceptual cluster set having metadata terms matching the search terms; and each user-implied conceptual cluster set identified based on the first and second metadata phases the content items of said user-implied conceptual cluster set have in common. | 12. A system for searching for and presenting content items as an arrangement of conceptual clusters to facilitate further search and navigation on a display- constrained device, the system comprising: a database stored in an electronically readable storage, medium for cataloging a relatively large set of content items, at least some of the content items having metadata to specify explicit concepts associated with the content items, and at least some of the metadata including phrases having more than one metadata term; an electronically readable medium containing instructions for causing a computer system to: input logic for receive from a user incremental input to incrementally identify more than one search term for desired content items; select from the relatively large set of content items: a first set of content items, wherein all search terms match metadata terms of a single one of the metadata phrases of each content item of said first set; a second set of content items, wherein a first subset of the search terms matches at least one metadata term of at least a first metadata phrase of each content item of said second set; and a third set of content items, wherein a second subset of the search terms matches at least one metadata term of at least a second metadata phrase of each content item of said third set, the first metadata phrase differing from the second metadata phrase; for group the content items the second and third sets have in common to form an intersection set for user-implied concepts inferred from the explicit concepts associated with the metadata of the content items of the intersection set; organize the content items of the first set and the intersection set into conceptual cluster sets: the content items of the first set being organized into explicit conceptual cluster sets based on the metadata phrases having metadata terms matching the search terms so that content items having a same metadata phrase matching the search terms are clustered together; and the content items of the intersection set being organized into user-implied conceptual clusters based on at least the first and second metadata phrases the content items of the intersection set have in common so that content items having same first and second metadata phrases matching the search terms are clustered together; and present on the display-constrained device the content items organized into the explicit conceptual cluster sets and the user-implied conceptual cluster sets: each explicit conceptual cluster set identified based on the metadata phrase common to the content items of said explicit conceptual cluster set having metadata terms matching the search terms; and each user-implied conceptual cluster set identified based on the first and second metadata phases the content items of said user-implied conceptual cluster set have in common. 15. The system of claim 12 , wherein the incremental input is ambiguous text input, the ambiguous text input having one or more digits, each digit representing more than one alphanumeric character. | 0.764354 |
7,716,050 | 6 | 7 | 6. The computer-implemented method of claim 1 , where training the single pronunciation estimator further comprises: forming, from sequences of letters of each training word's textual spelling and the corresponding grouping of subword units of the pronunciation, a letter to subword mapping for each training word; and training the single pronunciation estimator using the letter-to-subword mappings. | 6. The computer-implemented method of claim 1 , where training the single pronunciation estimator further comprises: forming, from sequences of letters of each training word's textual spelling and the corresponding grouping of subword units of the pronunciation, a letter to subword mapping for each training word; and training the single pronunciation estimator using the letter-to-subword mappings. 7. The computer-implemented method of claim 6 , wherein training the single pronunciation estimator and training the acoustic models is executed by a nonportable programmable device. | 0.5 |
5,438,630 | 12 | 13 | 12. A processor-based method Of determining whether a keyword made up of characters is present in a bitmap input image containing words, the words being considered to extend horizontally, the method comprising the steps of: providing a set of previously trained single-character HMMs, each single-character HMM having a number of possible contexts, depending on whether the character has an ascender or a descender; concatenating those single-character HMMs that correspond to the characters in the keyword so as to provide a keyword HMM, the context of a given single-character HMM used to create the keyword HMM being determined on the basis of whether the keyword contains characters having ascenders or descenders; providing a non-keyword HMM; constructing a network that includes a first path passing through the keyword HMM and a second path passing through the non-keyword HMM but not passing through the keyword HMM; locating a portion of the input image potentially containing a word; providing an array of pixel values, referred to as a potential keyword, representing the portion of the input image; generating a set of features based on the potential keyword, the set of features providing shape information regarding the word potentially contained in the portion of the input image; the set of features being generated at a plurality of uniformly spaced horizontal locations, thereby avoiding segmentation of the potential keyword in a manner that depends on values of the pixels in the potential keyword; applying the set of features to the HMM network; finding a path through the network that maximizes the probability of the set of features as applied to the network; and determining whether the path that maximizes the probability passes through the keyword HMM so as to provide an indication whether the potential keyword is the keyword. | 12. A processor-based method Of determining whether a keyword made up of characters is present in a bitmap input image containing words, the words being considered to extend horizontally, the method comprising the steps of: providing a set of previously trained single-character HMMs, each single-character HMM having a number of possible contexts, depending on whether the character has an ascender or a descender; concatenating those single-character HMMs that correspond to the characters in the keyword so as to provide a keyword HMM, the context of a given single-character HMM used to create the keyword HMM being determined on the basis of whether the keyword contains characters having ascenders or descenders; providing a non-keyword HMM; constructing a network that includes a first path passing through the keyword HMM and a second path passing through the non-keyword HMM but not passing through the keyword HMM; locating a portion of the input image potentially containing a word; providing an array of pixel values, referred to as a potential keyword, representing the portion of the input image; generating a set of features based on the potential keyword, the set of features providing shape information regarding the word potentially contained in the portion of the input image; the set of features being generated at a plurality of uniformly spaced horizontal locations, thereby avoiding segmentation of the potential keyword in a manner that depends on values of the pixels in the potential keyword; applying the set of features to the HMM network; finding a path through the network that maximizes the probability of the set of features as applied to the network; and determining whether the path that maximizes the probability passes through the keyword HMM so as to provide an indication whether the potential keyword is the keyword. 13. The method of claim 12 wherein: each character has a plurality of distinct portions; each character has a shape that is characterized by a number of feature vectors at a corresponding number of horizontal locations along the character; a given single-character HMM for a given character is characterized by a plurality of states, each state of which corresponds to one of the number of distinct portions of the given character; and each state is characterized by a Gaussian distribution with mean vector and covariance matrix of the feature vectors that characterize the corresponding distinct portion of the given character. | 0.5 |
7,747,950 | 4 | 9 | 4. A method for inputting Chinese characters, English alphabets, and Korean characters by using a numerical keyboard, wherein for Chinese characters, the keys and representing strokes and the subsidiary strokes dependent to the representing strokes are illustrated in the following, that is the subsidiary strokes are represented by the related represented strokes: Keys Representing stroke subsidiary strokes 0~a 1~b 2~c 3~d 4~e 5~f 6~g 7~h 8~l 9~j wherein the representing strokes and the subsidiary strokes are inputted by clicking the keys at the first column, the Chinese character is inputted by clicking a key representing the first stroke of a traditional recognized component of a Chinese character to be inputted and, a first and a last strokes a nontraditional recognized component of the Chinese character; and if the Chinese character has no non-traditional recognized component, the first stroke and a last stroke of the Chinese character are used, and wherein a first and a last strokes of a Chinese character is used an input, and then a first phonetic symbol is used as an input, wherein all the phonetic symbols are arranged on the numerical keyboard, in inputting of the phonetic symbols, the former phonetic symbols are directly inputted by clicking the keys and the other phonetic symbols are inputted by pressing the key an then an auxiliary key; the arrange of the Chinese characters are: key 0. key 1. key 2. key 3. key 4. key 5. key 6. key 7. key 8. key 9. thus, the first phonetic symbol of each key is inputted by directly inputting the key, while other phonetic symbols are inputted by an auxiliary key; the auxiliary key is selected from one of a first set formed by key a, key b, and key c, and a second set formed by key 1, key 2, and key 3 and a third set formed by keys below the phonetic symbol to be inputted with an order from the left to the right. | 4. A method for inputting Chinese characters, English alphabets, and Korean characters by using a numerical keyboard, wherein for Chinese characters, the keys and representing strokes and the subsidiary strokes dependent to the representing strokes are illustrated in the following, that is the subsidiary strokes are represented by the related represented strokes: Keys Representing stroke subsidiary strokes 0~a 1~b 2~c 3~d 4~e 5~f 6~g 7~h 8~l 9~j wherein the representing strokes and the subsidiary strokes are inputted by clicking the keys at the first column, the Chinese character is inputted by clicking a key representing the first stroke of a traditional recognized component of a Chinese character to be inputted and, a first and a last strokes a nontraditional recognized component of the Chinese character; and if the Chinese character has no non-traditional recognized component, the first stroke and a last stroke of the Chinese character are used, and wherein a first and a last strokes of a Chinese character is used an input, and then a first phonetic symbol is used as an input, wherein all the phonetic symbols are arranged on the numerical keyboard, in inputting of the phonetic symbols, the former phonetic symbols are directly inputted by clicking the keys and the other phonetic symbols are inputted by pressing the key an then an auxiliary key; the arrange of the Chinese characters are: key 0. key 1. key 2. key 3. key 4. key 5. key 6. key 7. key 8. key 9. thus, the first phonetic symbol of each key is inputted by directly inputting the key, while other phonetic symbols are inputted by an auxiliary key; the auxiliary key is selected from one of a first set formed by key a, key b, and key c, and a second set formed by key 1, key 2, and key 3 and a third set formed by keys below the phonetic symbol to be inputted with an order from the left to the right. 9. The method as claimed in claim 4 , wherein the Chinese characters having same input keys are divided into at least one set according to the order of traditional recognized component; and the order is that the traditional recognized components with fewer strokes are arranged firstly and then the Chinese characters with more strokes are arranged next. | 0.655642 |
8,892,417 | 35 | 36 | 35. The computer program product of claim 3 wherein the subject comprises a company, wherein the received source data comprises stock price information associated with the company, and wherein the angle set data structure comprises (1) data representative of a plurality of story angles corresponding to a plurality of different stock price story angles, and (2) for each stock price story angle, data associated therewith that identifies at least one applicability condition for that stock price story angle. | 35. The computer program product of claim 3 wherein the subject comprises a company, wherein the received source data comprises stock price information associated with the company, and wherein the angle set data structure comprises (1) data representative of a plurality of story angles corresponding to a plurality of different stock price story angles, and (2) for each stock price story angle, data associated therewith that identifies at least one applicability condition for that stock price story angle. 36. The computer program product of claim 35 wherein one of the stock price story angles comprises a “52 week high” stock price story angle. | 0.85447 |
8,775,337 | 11 | 12 | 11. A method comprising: receiving, by one or more processors of a computing system, a plurality of values of information, with respect to an inference model, associated with additional sensor data corresponding to a plurality of mobile devices; determining, by the one or more processors, based on relationship patterns between the plurality of mobile devices and based on the plurality of values of information, one or more combinations of mobile devices and sensing temporal frequencies that meet a plurality of constraints associated with receiving sensor data from the plurality of mobile devices; and requesting, by the one or more processors, sensor data from individual ones of the plurality of mobile devices at time intervals according to a selected one of the one or more combinations. | 11. A method comprising: receiving, by one or more processors of a computing system, a plurality of values of information, with respect to an inference model, associated with additional sensor data corresponding to a plurality of mobile devices; determining, by the one or more processors, based on relationship patterns between the plurality of mobile devices and based on the plurality of values of information, one or more combinations of mobile devices and sensing temporal frequencies that meet a plurality of constraints associated with receiving sensor data from the plurality of mobile devices; and requesting, by the one or more processors, sensor data from individual ones of the plurality of mobile devices at time intervals according to a selected one of the one or more combinations. 12. The method of claim 11 , wherein the plurality of constraints include constraints on time intervals that the plurality of mobile devices can be sensed from, and constraints on the spatial locations at which the plurality of mobile devices can be sensed from. | 0.582803 |
8,706,680 | 1 | 10 | 1. An automated method that enables a user to prepare a report using a computer system having a processor, an input interface, and an output interface, said method comprising: entering context information into the input interface; displaying a single lexeme query and associated lexeme responses from a lexicon containing a plurality of such queries and associated responses on the computer system's output interface; allowing the user to select a response to the lexeme query from the display wherein the queries are displayed iteratively one-at-a-time in an order established by the system's coherence and predicance, and wherein the user is constrained to respond to the queries in the order they are presented by the system; determining whether the selected lexeme response instructs the system to move forward to the next section of the report, and if so, moving the system forward to the next section of the report; determining whether the selected lexeme is an active lexeme, and if so, executing the task associated with the active lexeme; determining whether the selected lexeme sets new predicants to be true, and if so, adding the predicants to a predicant list stored by the system; determining the next lexeme query in the order established by the coherence of the lexicon which contains one or more predicants matching the current predicant list and displaying this next lexeme query on the computer system's output interface; iterating this process until the report is complete; and concatenating and exporting the content of the selected lexeme responses in one or more styles. | 1. An automated method that enables a user to prepare a report using a computer system having a processor, an input interface, and an output interface, said method comprising: entering context information into the input interface; displaying a single lexeme query and associated lexeme responses from a lexicon containing a plurality of such queries and associated responses on the computer system's output interface; allowing the user to select a response to the lexeme query from the display wherein the queries are displayed iteratively one-at-a-time in an order established by the system's coherence and predicance, and wherein the user is constrained to respond to the queries in the order they are presented by the system; determining whether the selected lexeme response instructs the system to move forward to the next section of the report, and if so, moving the system forward to the next section of the report; determining whether the selected lexeme is an active lexeme, and if so, executing the task associated with the active lexeme; determining whether the selected lexeme sets new predicants to be true, and if so, adding the predicants to a predicant list stored by the system; determining the next lexeme query in the order established by the coherence of the lexicon which contains one or more predicants matching the current predicant list and displaying this next lexeme query on the computer system's output interface; iterating this process until the report is complete; and concatenating and exporting the content of the selected lexeme responses in one or more styles. 10. The method of claim 1 wherein the report can be electronically stored in one or more styles. | 0.609756 |
9,110,923 | 7 | 8 | 7. A system comprising: one or more computers; and a computer-readable storage device having stored thereon instructions that, when executed by the one or more computers, cause the one or more computers to perform operations comprising: receiving a search query; identifying a lookup table corresponding to the search query; for each image in a collection of images: generating an image hash for the image based on one or more features extracted from the image, wherein the image hash comprises a plurality of hash characters, and computing a score for the image hash using the lookup table, wherein computing the score for each image hash comprises summing lookup table weights for each hash character of the plurality of hash characters, and wherein the lookup table includes a first index that corresponds to the lookup table value of each hash character, and a second index that corresponds to a position of each hash character in the image hash; ordering the images by the score of each image hash; and providing a group of the ordered images as search results responsive to the search query. | 7. A system comprising: one or more computers; and a computer-readable storage device having stored thereon instructions that, when executed by the one or more computers, cause the one or more computers to perform operations comprising: receiving a search query; identifying a lookup table corresponding to the search query; for each image in a collection of images: generating an image hash for the image based on one or more features extracted from the image, wherein the image hash comprises a plurality of hash characters, and computing a score for the image hash using the lookup table, wherein computing the score for each image hash comprises summing lookup table weights for each hash character of the plurality of hash characters, and wherein the lookup table includes a first index that corresponds to the lookup table value of each hash character, and a second index that corresponds to a position of each hash character in the image hash; ordering the images by the score of each image hash; and providing a group of the ordered images as search results responsive to the search query. 8. The system of claim 7 , wherein summing a lookup table weight for each of a plurality of hash characters of the image hash comprises identifying the lookup table weight for each hash character by using the first index and second index. | 0.790861 |
9,596,204 | 10 | 14 | 10. A method comprising: receiving a text input; determining a portion of the text input corresponding to a navigational preamble; determining a navigational text candidate based, at least in part, on the navigational preamble; displaying the navigational text candidate; receiving a selection input indicative of a selection of the navigational text candidate; and inserting the navigational text candidate in the text input in response to the selection input. | 10. A method comprising: receiving a text input; determining a portion of the text input corresponding to a navigational preamble; determining a navigational text candidate based, at least in part, on the navigational preamble; displaying the navigational text candidate; receiving a selection input indicative of a selection of the navigational text candidate; and inserting the navigational text candidate in the text input in response to the selection input. 14. The method of claim 10 , further comprising determining a transportation mode, wherein determining of the navigational text candidate is based, at least in part, on the transportation mode. | 0.725071 |
8,271,958 | 1 | 9 | 1. A method for remapping user script code, developed to be run in a host application, to debuggable script code, comprising: determining one or more capabilities of a virtual machine (VM) that is utilized for executing the host application in a runtime environment of an application execution and development framework; instrumenting a function in the user script code with one or more guards based on at least one of the one or more capabilities of the VM, the instrumenting comprising at least one of: instrumenting a first guard into the user script code at a first location associated with a first potential debugging stopping operation based on at least one of the one or more capabilities of the VM; instrumenting a second guard into the user script code at a second location associated with a second potential debugging stopping operation if a functional call speed capability of the VM is above a first threshold; instrumenting a third guard into the user script code at a third location associated with a beginning of the function if the functional call speed capability of the VM is below a second threshold; and instrumenting a fourth guard into the user script code at a fourth location associated with a third potential debugging stopping operation and a fifth guard into the user script code at a fifth location associated with a fourth potential debugging stopping operation if the functional call speed capability of the VM is between the first threshold and the second threshold; executing the user script code in the runtime environment; and responsive to detecting an explicit debugging gesture using at least one of the one or more guards, transforming the function to generate debuggable script code, at least some of the method implemented at least in part via a processing unit. | 1. A method for remapping user script code, developed to be run in a host application, to debuggable script code, comprising: determining one or more capabilities of a virtual machine (VM) that is utilized for executing the host application in a runtime environment of an application execution and development framework; instrumenting a function in the user script code with one or more guards based on at least one of the one or more capabilities of the VM, the instrumenting comprising at least one of: instrumenting a first guard into the user script code at a first location associated with a first potential debugging stopping operation based on at least one of the one or more capabilities of the VM; instrumenting a second guard into the user script code at a second location associated with a second potential debugging stopping operation if a functional call speed capability of the VM is above a first threshold; instrumenting a third guard into the user script code at a third location associated with a beginning of the function if the functional call speed capability of the VM is below a second threshold; and instrumenting a fourth guard into the user script code at a fourth location associated with a third potential debugging stopping operation and a fifth guard into the user script code at a fifth location associated with a fourth potential debugging stopping operation if the functional call speed capability of the VM is between the first threshold and the second threshold; executing the user script code in the runtime environment; and responsive to detecting an explicit debugging gesture using at least one of the one or more guards, transforming the function to generate debuggable script code, at least some of the method implemented at least in part via a processing unit. 9. The method of claim 1 , the explicit debugging gesture associated with at least one of: setting up an asynchronous breakpoint in the user script code; activating a debugger for the user script code; and an exception occurring during the execution of the user script code. | 0.5 |
9,911,411 | 1 | 5 | 1. A method, comprising: receiving one or more speech recognition parameters prior to issuing a verbal prompt to a user; issuing a verbal prompt to the user; receiving an acoustic input from the user in response to the verbal prompt; processing one or more sequences of phonemes to obtain one or more acoustic representations, wherein the one or more sequences of phonemes are generated from a list of expected responses to the issued verbal prompt; comparing the acoustic input from the user to the one or more acoustic representations to determine an acoustic channel characterization and/or speaker class; and adjusting one or more speech recognition parameters based on the comparison, wherein the adjustment comprises applying feature space mapping to the acoustic input, and further wherein the one or more adjusted speech recognition parameters are used to adjust a speech recognition module of a speech recognition system to use an acoustic model that is consistent with an acoustic channel characterization and/or speaker class so that the selected acoustic model is used for decoding subsequent acoustic input provided by the user as the conversation progresses; wherein the steps are performed by at least one processor device coupled to a memory. | 1. A method, comprising: receiving one or more speech recognition parameters prior to issuing a verbal prompt to a user; issuing a verbal prompt to the user; receiving an acoustic input from the user in response to the verbal prompt; processing one or more sequences of phonemes to obtain one or more acoustic representations, wherein the one or more sequences of phonemes are generated from a list of expected responses to the issued verbal prompt; comparing the acoustic input from the user to the one or more acoustic representations to determine an acoustic channel characterization and/or speaker class; and adjusting one or more speech recognition parameters based on the comparison, wherein the adjustment comprises applying feature space mapping to the acoustic input, and further wherein the one or more adjusted speech recognition parameters are used to adjust a speech recognition module of a speech recognition system to use an acoustic model that is consistent with an acoustic channel characterization and/or speaker class so that the selected acoustic model is used for decoding subsequent acoustic input provided by the user as the conversation progresses; wherein the steps are performed by at least one processor device coupled to a memory. 5. The method of claim 1 , wherein the comparing step comprises performing a variable template matching on the acoustic input. | 0.565517 |
8,874,541 | 1 | 9 | 1. A computer-implemented method for identifying search keywords for searching for an online information resource, the method comprising: receiving, by a social website publishing application, from a business, a request for the search keywords relating to content of the online information resource of the business; generating, in response to receiving the request, a post comprising information about the business, a request to a plurality of users in a social network to provide the search keywords relating to the content of the online information resource of the business, and a link to a search keyword recommendation page; publishing, using a social network application, the post to a newsfeed in the social network, wherein the plurality of users in the social network subscribe to the newsfeed; receiving, in response to publishing the post and from the plurality of users, a plurality of search keywords relating to the content of the online information resource from the search keyword recommendation page; ranking, in response to receiving a plurality of search keywords, the search keywords in order from most popular to least popular; presenting, to the business, search keywords based at least in part upon the ranking; receiving, from the business, a selection of at least one search keyword from the search keywords that were presented to the business; and publishing the online information resource comprising the selected at least one search keyword. | 1. A computer-implemented method for identifying search keywords for searching for an online information resource, the method comprising: receiving, by a social website publishing application, from a business, a request for the search keywords relating to content of the online information resource of the business; generating, in response to receiving the request, a post comprising information about the business, a request to a plurality of users in a social network to provide the search keywords relating to the content of the online information resource of the business, and a link to a search keyword recommendation page; publishing, using a social network application, the post to a newsfeed in the social network, wherein the plurality of users in the social network subscribe to the newsfeed; receiving, in response to publishing the post and from the plurality of users, a plurality of search keywords relating to the content of the online information resource from the search keyword recommendation page; ranking, in response to receiving a plurality of search keywords, the search keywords in order from most popular to least popular; presenting, to the business, search keywords based at least in part upon the ranking; receiving, from the business, a selection of at least one search keyword from the search keywords that were presented to the business; and publishing the online information resource comprising the selected at least one search keyword. 9. The computer-implemented method of claim 1 , wherein the online information resource is a website. | 0.896939 |
8,396,820 | 1 | 2 | 1. A non-transitory computer-readable storage medium containing structured data for use with computer program code executing on a computer processor, comprising: a sentiment thesaurus data structure stored in the storage medium and including data used by the computer program code, when executed, to generate one or more valid sentiments related to an indicated input word, the valid sentiments selected based upon an evaluation of a set of rules that define valid sentiments, the data structure comprising: a plurality of sentiment entries, each entry containing an indication of one of a plurality of valid sentiment adjectives that can be used to express one of the valid sentiments applicable to online content, the valid sentiments selected based upon the evaluation of the set of rules that define valid sentiments, an indication of an adjective related to the valid sentiment adjective of the sentiment entry, and a connection type indicator that characterizes a semantic relationship between the related adjective and the valid sentiment adjective that is within a specified permissible degree of distance in meaning, the indicated connection type being one of a plurality of permitted connection types that limit a degree of distance in meaning between adjectives. | 1. A non-transitory computer-readable storage medium containing structured data for use with computer program code executing on a computer processor, comprising: a sentiment thesaurus data structure stored in the storage medium and including data used by the computer program code, when executed, to generate one or more valid sentiments related to an indicated input word, the valid sentiments selected based upon an evaluation of a set of rules that define valid sentiments, the data structure comprising: a plurality of sentiment entries, each entry containing an indication of one of a plurality of valid sentiment adjectives that can be used to express one of the valid sentiments applicable to online content, the valid sentiments selected based upon the evaluation of the set of rules that define valid sentiments, an indication of an adjective related to the valid sentiment adjective of the sentiment entry, and a connection type indicator that characterizes a semantic relationship between the related adjective and the valid sentiment adjective that is within a specified permissible degree of distance in meaning, the indicated connection type being one of a plurality of permitted connection types that limit a degree of distance in meaning between adjectives. 2. The computer-readable storage medium of claim 1 wherein the computer program code, when executed, generates from the sentiment thesaurus data structure one or more valid sentiments related to an indicated input word by looking up each sentiment entry in which the indicated input word is stored as a related adjective and retrieving an indication to the related valid sentiment adjective. | 0.683657 |
9,830,390 | 1 | 2 | 1. A method performed by one or more computers, the method comprising: receiving a first search query from a user device, wherein the first search query has been determined to relate to a first entity of a first entity type, and wherein a plurality of second entities of a second entity type have a predetermined relationship with the first entity; determining a respective ranking score for each second entity of the plurality of second entities of the second entity type, the determining comprising: determining a frequency of occurrence of authoritative resources for the second entity of the second entity type in search results for previously submitted search queries, each authoritative resource for the second entity being a resource whose occurrence in the search results for the previously submitted search queries has been determined to be an indicator that the received search query is directed to the second entity; and determining the respective ranking score for the second entity based at least in part on the frequency; ordering the second entities of the second entity type according to the ranking scores; receiving search results for the first search query provided by a search engine, wherein each of the search results identifies a respective resource; and transmitting the search results and information identifying each of the plurality of second entities of the second entity type to the user device as part of a response to the first search query, wherein, when presented on the user device, the information identifies each of the plurality of second entities in an order that matches the ordering. | 1. A method performed by one or more computers, the method comprising: receiving a first search query from a user device, wherein the first search query has been determined to relate to a first entity of a first entity type, and wherein a plurality of second entities of a second entity type have a predetermined relationship with the first entity; determining a respective ranking score for each second entity of the plurality of second entities of the second entity type, the determining comprising: determining a frequency of occurrence of authoritative resources for the second entity of the second entity type in search results for previously submitted search queries, each authoritative resource for the second entity being a resource whose occurrence in the search results for the previously submitted search queries has been determined to be an indicator that the received search query is directed to the second entity; and determining the respective ranking score for the second entity based at least in part on the frequency; ordering the second entities of the second entity type according to the ranking scores; receiving search results for the first search query provided by a search engine, wherein each of the search results identifies a respective resource; and transmitting the search results and information identifying each of the plurality of second entities of the second entity type to the user device as part of a response to the first search query, wherein, when presented on the user device, the information identifies each of the plurality of second entities in an order that matches the ordering. 2. The method of claim 1 , wherein the ranking score for a particular second entity of the second entity type is further based at least in part on how frequently a recognized reference to the particular second entity co-occurs with a recognized reference to the first entity in resources indexed by an indexing engine. | 0.553371 |
9,600,218 | 1 | 6 | 1. An apparatus comprising: a workflow server comprising: an interface configured to receive a print job that defines multiple documents; and a controller, implemented by a processor and memory, configured to direct devices of a print shop in accordance with a print workflow that comprises an ordered set of activities to perform upon the documents, wherein each activity has a queued state, a processing state, and a complete state, wherein the controller is configured to identify properties of each of the documents to track while the print job is being processed in the workflow, to receive progress information from the devices, and to analyze the progress information to detect a triggering event indicating that a document in the workflow has transitioned to a new state at an activity, wherein the controller is configured to analyze recording criteria for the document to determine whether to update a history for the document in response to the triggering event, and when the criteria direct the controller to update the history, the controller is configured to add an entry to a history file for the document while the document is in the workflow, wherein the entry indicates values of the properties of the document during the triggering event, and a current workflow activity for the document during the triggering event. | 1. An apparatus comprising: a workflow server comprising: an interface configured to receive a print job that defines multiple documents; and a controller, implemented by a processor and memory, configured to direct devices of a print shop in accordance with a print workflow that comprises an ordered set of activities to perform upon the documents, wherein each activity has a queued state, a processing state, and a complete state, wherein the controller is configured to identify properties of each of the documents to track while the print job is being processed in the workflow, to receive progress information from the devices, and to analyze the progress information to detect a triggering event indicating that a document in the workflow has transitioned to a new state at an activity, wherein the controller is configured to analyze recording criteria for the document to determine whether to update a history for the document in response to the triggering event, and when the criteria direct the controller to update the history, the controller is configured to add an entry to a history file for the document while the document is in the workflow, wherein the entry indicates values of the properties of the document during the triggering event, and a current workflow activity for the document during the triggering event. 6. The apparatus of claim 1 wherein: the controller is configured to detect multiple triggering events, and to add an entry to the history file for the document each time a triggering event is detected. | 0.57563 |
9,183,832 | 44 | 45 | 44. The display apparatus of claim 42 , wherein the controller controls the display unit to display identification text on one side of the matched text, wherein the identification text differs from the matched text in pronunciation. | 44. The display apparatus of claim 42 , wherein the controller controls the display unit to display identification text on one side of the matched text, wherein the identification text differs from the matched text in pronunciation. 45. The display apparatus of claim 44 , wherein the controller: determines if additionally recognized voice input from the user is matched the identification text, and selects the similar text in response to a determination that the additionally recognized voice input from the user matches the identification text. | 0.5 |
8,380,510 | 4 | 5 | 4. The method of claim 1 , further comprising the step of facilitating transcription of said voice files prior to the correction of said transcripts of said voice files, the step of facilitating transcription of said voice files further comprising the steps of: identifying voice file metadata associated with said voice files; identifying a group of said voice files having at least one particular subset of voice file metadata; identifying a group of said transcriptionists having a proper set of characteristics to transcribe said identified group of voice files by matching said at least one particular subset of voice file metadata associated with said voice files with characteristics of said transcriptionists; and providing said group of voice files to transcriptionists within the group of transcriptionists. | 4. The method of claim 1 , further comprising the step of facilitating transcription of said voice files prior to the correction of said transcripts of said voice files, the step of facilitating transcription of said voice files further comprising the steps of: identifying voice file metadata associated with said voice files; identifying a group of said voice files having at least one particular subset of voice file metadata; identifying a group of said transcriptionists having a proper set of characteristics to transcribe said identified group of voice files by matching said at least one particular subset of voice file metadata associated with said voice files with characteristics of said transcriptionists; and providing said group of voice files to transcriptionists within the group of transcriptionists. 5. The method of claim 4 , wherein said voice file metadata associated with said voice files comprise an identity of a voice file's creator, an identity of an organization for which the voice file was created or a suborganization thereof, a type of voice file, a subject of the voice file, and/or a creation date. | 0.5 |
9,788,777 | 8 | 9 | 8. The method as described in claim 1 , further including: selecting an advertisement that evokes the first emotion evoked by the first media; and presenting the advertisement in connection with the first media. | 8. The method as described in claim 1 , further including: selecting an advertisement that evokes the first emotion evoked by the first media; and presenting the advertisement in connection with the first media. 9. The method as described in claim 8 , wherein the advertisement includes audio and visual components, the method further including altering the audio component of the advertisement to more strongly evoke the first emotion. | 0.5 |
9,171,541 | 16 | 20 | 16. A system for natural language utterance processing, the system comprising: one or more physical processors programmed to execute one or more computer program instructions which, when executed, cause the one or more physical processors to: receive, from a first user device, a natural language utterance; perform speech recognition to determine one or more words of the natural language utterance; receive, from a second user device, a non-voice user input that relates to the natural language utterance, wherein the first user device and the second user device are associated with a user and are independently operable of one another and of the computer system; process the non-voice user input to determine context information for the one or more words; determine one or more interpretations of the one or more words based on the context information; generate a user request related to the natural language utterance based on the one or more interpretations; select at least one user processing device to process the user request such that the selection of the user processing device is based on a determination that content related to the user request resides at the user processing device, wherein the user processing device comprises the first user device, the second user device, or a third user device independently operable of the computer system; and transmit the user request to the user processing device to invoke the user processing device to process the user request. | 16. A system for natural language utterance processing, the system comprising: one or more physical processors programmed to execute one or more computer program instructions which, when executed, cause the one or more physical processors to: receive, from a first user device, a natural language utterance; perform speech recognition to determine one or more words of the natural language utterance; receive, from a second user device, a non-voice user input that relates to the natural language utterance, wherein the first user device and the second user device are associated with a user and are independently operable of one another and of the computer system; process the non-voice user input to determine context information for the one or more words; determine one or more interpretations of the one or more words based on the context information; generate a user request related to the natural language utterance based on the one or more interpretations; select at least one user processing device to process the user request such that the selection of the user processing device is based on a determination that content related to the user request resides at the user processing device, wherein the user processing device comprises the first user device, the second user device, or a third user device independently operable of the computer system; and transmit the user request to the user processing device to invoke the user processing device to process the user request. 20. The system of claim 16 , wherein the one or more physical processors are further caused to: obtain one or more personalized cognitive models associated with the user, wherein the one or more personalized cognitive models are based on one or more prior user inputs associated with the user, and wherein the one or more interpretations are determined further based on the one or more personalized cognitive models. | 0.812613 |
7,664,640 | 4 | 7 | 4. A system as claimed in claim 1 wherein the data encoding vectors are normalised such that the vectors have equal moduli. | 4. A system as claimed in claim 1 wherein the data encoding vectors are normalised such that the vectors have equal moduli. 7. A system as claimed in claim 4 wherein the system is arranged to add at least one additional element to each data encoding vector, wherein the added element(s) encode the overall power contained in spectral bands represented in the vector. | 0.625387 |
7,930,719 | 14 | 24 | 14. A set top box device for enabling access to media programs with content distributed by a server in multiple languages comprising: a user interface for i) receiving a first user input to select a language for interacting with the set top box and ii) receiving a second user input to select a program for receiving from the server, wherein the program has a plurality of associated tracks having content in at least two different languages, wherein each track is associated with a single language, and wherein the first and the second selection opportunities are separate selection opportunities; a first data interface for i) receiving program guide data associated with the language selected by the user and ii) receiving from the server a transmission including the selected program; and a second data interface for i) sending the program guide data associated with the language selected by the user to a display and ii) in response to the second selection opportunity, sending only a track associated with the language selected by the first user input to the display. | 14. A set top box device for enabling access to media programs with content distributed by a server in multiple languages comprising: a user interface for i) receiving a first user input to select a language for interacting with the set top box and ii) receiving a second user input to select a program for receiving from the server, wherein the program has a plurality of associated tracks having content in at least two different languages, wherein each track is associated with a single language, and wherein the first and the second selection opportunities are separate selection opportunities; a first data interface for i) receiving program guide data associated with the language selected by the user and ii) receiving from the server a transmission including the selected program; and a second data interface for i) sending the program guide data associated with the language selected by the user to a display and ii) in response to the second selection opportunity, sending only a track associated with the language selected by the first user input to the display. 24. The device of claim 14 , wherein the display includes a television display. | 0.923002 |
9,215,510 | 1 | 2 | 1. A method for tagging a media asset, the method comprising: receiving verbal input from a user while the user is accessing the media asset; receiving a request to adjust playback of the media asset; responsive to receiving the verbal input and the request, cross-referencing a combination of the verbal input and the request with an attribute database to identify an attribute associated with the combination; and associating the identified attribute with the media asset. | 1. A method for tagging a media asset, the method comprising: receiving verbal input from a user while the user is accessing the media asset; receiving a request to adjust playback of the media asset; responsive to receiving the verbal input and the request, cross-referencing a combination of the verbal input and the request with an attribute database to identify an attribute associated with the combination; and associating the identified attribute with the media asset. 2. The method of claim 1 further comprising determining whether the request is received within a threshold period of time of receiving the verbal input. | 0.760252 |
9,594,756 | 4 | 5 | 4. The method of claim 3 , wherein the calculating of the document value for a particular document is based at least in part on: a readership volume parameter representative of the number of contributors who have read the particular document; and a ratings parameter derived from ratings of the particular document by respective contributors. | 4. The method of claim 3 , wherein the calculating of the document value for a particular document is based at least in part on: a readership volume parameter representative of the number of contributors who have read the particular document; and a ratings parameter derived from ratings of the particular document by respective contributors. 5. The method of claim 4 , wherein the calculating of the document value comprises a weighted combination of the ratings parameter and the readership volume parameter, the ratings parameter being given a greater weight than the readership volume parameter. | 0.5 |
9,104,769 | 4 | 13 | 4. The method of claim 1 , wherein: receiving the first client request comprises receiving, from the client, a plurality of client requests that includes the first client request; generating the plurality of requests is performed in response to receiving the plurality of client requests; each request of the plurality of requests corresponds to a different client request of the plurality of client requests. | 4. The method of claim 1 , wherein: receiving the first client request comprises receiving, from the client, a plurality of client requests that includes the first client request; generating the plurality of requests is performed in response to receiving the plurality of client requests; each request of the plurality of requests corresponds to a different client request of the plurality of client requests. 13. One or more non-transitory storage media carrying instructions which, when executed by one or more processors, cause performance of the method recited in claim 4 . | 0.5 |
9,652,445 | 1 | 3 | 1. A method implementable on a computing device for creating one or more tasks of digitizing an electronic document, the method comprising: receiving inputs to define one or more characteristics associated with each of one or more fields in the electronic document, the one or more characteristics comprising at least a security type associated with the one or more fields, a data entry type associated with the one or more fields, redundancy rules for the one or more fields, and resolution rules for one or more fields, wherein the redundancy rules and the resolution rules for a given field are based on the data entry type and the security type for the given field, and fields of a predetermined security type and a free text data entry type are assigned consensus resolution based on a confidentiality indicated by the predetermined security type and an error risk indicated by the free text data entry type; categorizing the one or more fields in one or more groups based on at least the security type associated with the one or more fields; and creating a task for the one or more categorized fields based on the one or more characteristics associated with the one or more categorized fields; sending the created tasks to a set of remote workers such that a first subset of the set of remote workers that are sent tasks categorized in a first group are not sent tasks categorized in a second group based on the security type for the fields of at least one of the first group or the second group indicating that remote workers are not to be sent data associated with fields of the first group and also sent data associated with fields of the second group, wherein the tasks are presented through a user interface based on the categorization for the fields associated with the tasks such that a remote worker inputs a response to the tasks using the user interface in accordance with a data entry type for the fields corresponding to the tasks, ones of tasks associated with a particular data filed categorized in the first group are sent to a number of remote workers from among the first subset of remote workers such that responses from the number of remote workers are assessed in accordance with the resolution rules for the particular field, the number of remote workers from among the first subset being based on the redundancy rules for the particular field, the method is performed by a processor in the computing device. | 1. A method implementable on a computing device for creating one or more tasks of digitizing an electronic document, the method comprising: receiving inputs to define one or more characteristics associated with each of one or more fields in the electronic document, the one or more characteristics comprising at least a security type associated with the one or more fields, a data entry type associated with the one or more fields, redundancy rules for the one or more fields, and resolution rules for one or more fields, wherein the redundancy rules and the resolution rules for a given field are based on the data entry type and the security type for the given field, and fields of a predetermined security type and a free text data entry type are assigned consensus resolution based on a confidentiality indicated by the predetermined security type and an error risk indicated by the free text data entry type; categorizing the one or more fields in one or more groups based on at least the security type associated with the one or more fields; and creating a task for the one or more categorized fields based on the one or more characteristics associated with the one or more categorized fields; sending the created tasks to a set of remote workers such that a first subset of the set of remote workers that are sent tasks categorized in a first group are not sent tasks categorized in a second group based on the security type for the fields of at least one of the first group or the second group indicating that remote workers are not to be sent data associated with fields of the first group and also sent data associated with fields of the second group, wherein the tasks are presented through a user interface based on the categorization for the fields associated with the tasks such that a remote worker inputs a response to the tasks using the user interface in accordance with a data entry type for the fields corresponding to the tasks, ones of tasks associated with a particular data filed categorized in the first group are sent to a number of remote workers from among the first subset of remote workers such that responses from the number of remote workers are assessed in accordance with the resolution rules for the particular field, the number of remote workers from among the first subset being based on the redundancy rules for the particular field, the method is performed by a processor in the computing device. 3. The method of claim 1 , further comprising determining one or more location identifiers for the one or more fields in the electronic document, wherein a portion corresponding to the one or more location identifiers is extracted from a filled electronic document. | 0.652231 |
9,152,860 | 23 | 24 | 23. The machine-accessible device of claim 22 , further comprising instructions stored thereon that are configured when executed to cause a machine to at: record the image prior to identifying the graphical objects with an image; and normalize the image in relation to previously recorded images of card objects. | 23. The machine-accessible device of claim 22 , further comprising instructions stored thereon that are configured when executed to cause a machine to at: record the image prior to identifying the graphical objects with an image; and normalize the image in relation to previously recorded images of card objects. 24. The machine-accessible device of claim 23 , wherein normalizing includes removing at least one of distortions, noise, shadows, light bursts, skew, and diffusion from the image. | 0.645669 |
9,361,885 | 1 | 3 | 1. A method of monitoring an acoustic environment of a mobile device for voice commands when the mobile device is operating in an idle mode, the mobile device having a first processor and a second processor, the method comprising: receiving acoustic input while the mobile device is operating in the idle mode; performing at least one first processing stage on the acoustic input using the first processor, prior to engaging the second processor to process the acoustic input, to evaluate whether the acoustic input includes a voice command; performing at least one second processing stage on the acoustic input using the second processor to evaluate whether the acoustic input includes a voice command if further processing is needed to determine whether the acoustic input includes a voice command; wherein performing the at least one first processing stage or the at least one second processing stage includes, while the mobile device is operating in the idle mode, transmitting at least a portion of the acoustic input to at least one server via a network for processing by the at least one server at least to evaluate whether the acoustic input includes a voice command; and initiating responding to the voice command when either the at least one first processing stage or the at least one second processing stage determines that the acoustic input includes a voice command. | 1. A method of monitoring an acoustic environment of a mobile device for voice commands when the mobile device is operating in an idle mode, the mobile device having a first processor and a second processor, the method comprising: receiving acoustic input while the mobile device is operating in the idle mode; performing at least one first processing stage on the acoustic input using the first processor, prior to engaging the second processor to process the acoustic input, to evaluate whether the acoustic input includes a voice command; performing at least one second processing stage on the acoustic input using the second processor to evaluate whether the acoustic input includes a voice command if further processing is needed to determine whether the acoustic input includes a voice command; wherein performing the at least one first processing stage or the at least one second processing stage includes, while the mobile device is operating in the idle mode, transmitting at least a portion of the acoustic input to at least one server via a network for processing by the at least one server at least to evaluate whether the acoustic input includes a voice command; and initiating responding to the voice command when either the at least one first processing stage or the at least one second processing stage determines that the acoustic input includes a voice command. 3. The method of claim 1 , wherein the first processor is a digital signal processor configured to operate at a lower power than the second processor. | 0.850598 |
8,229,730 | 8 | 11 | 8. A method for matching a search query to text within a one or more documents comprising: receiving a natural language search query containing a plurality of words; assigning a primary grammatical role to a word in the search query; assigning an additional grammatical role to the word from the search query using a role hierarchy that defines a grammatical relationship between the primary grammatical role and the additional grammatical role, wherein grammatical roles within the role hierarchy get more specific the further grammatical roles are from a root grammatical role, and wherein the additional grammatical role fits within a definition of the primary grammatical role and has a more specific definition, wherein the additional grammatical role is a subservient grammatical role to the primary grammatical role, which is a dominant grammatical role; and determining, at a computing device, that at least one document referenced in an index, which associates the word and a sentence within the at least one document with one or more grammatical roles, includes the word from the search query assigned to one or more of the primary grammatical role and the additional grammatical role. | 8. A method for matching a search query to text within a one or more documents comprising: receiving a natural language search query containing a plurality of words; assigning a primary grammatical role to a word in the search query; assigning an additional grammatical role to the word from the search query using a role hierarchy that defines a grammatical relationship between the primary grammatical role and the additional grammatical role, wherein grammatical roles within the role hierarchy get more specific the further grammatical roles are from a root grammatical role, and wherein the additional grammatical role fits within a definition of the primary grammatical role and has a more specific definition, wherein the additional grammatical role is a subservient grammatical role to the primary grammatical role, which is a dominant grammatical role; and determining, at a computing device, that at least one document referenced in an index, which associates the word and a sentence within the at least one document with one or more grammatical roles, includes the word from the search query assigned to one or more of the primary grammatical role and the additional grammatical role. 11. The method of claim 8 , further comprising ranking the one or more documents, wherein a higher ranking is given when the word in the search query that is assigned more than one role has multiple roles in common with the word occurring in the index. | 0.730769 |
8,014,039 | 1 | 7 | 1. A document management system, comprising: a scanning unit for reading a document and generating image data; an image data storing unit for storing a scanned image file; and a document management server that includes a destination folder for storing the scanned image file, and a file name conversion table; wherein the scanning unit acquires a document identifier assigned to the document using the image data generated by the scanning unit, assigns a file name to the image data based on the document identifier, stores the document in the image data storing unit as the scanned image file, and the document management server acquires the scanned image file stored in the image data storing unit, specifies a destination folder based on the document identifier contained in the file name of the scanned image file using the file name conversion table, and stores the scanned image file in the destination folder. | 1. A document management system, comprising: a scanning unit for reading a document and generating image data; an image data storing unit for storing a scanned image file; and a document management server that includes a destination folder for storing the scanned image file, and a file name conversion table; wherein the scanning unit acquires a document identifier assigned to the document using the image data generated by the scanning unit, assigns a file name to the image data based on the document identifier, stores the document in the image data storing unit as the scanned image file, and the document management server acquires the scanned image file stored in the image data storing unit, specifies a destination folder based on the document identifier contained in the file name of the scanned image file using the file name conversion table, and stores the scanned image file in the destination folder. 7. The document management system according to claim 1 , wherein the scanning unit is configured to acquire the document identifier assigned to the document from a bar code detected in the image data generated by the scanning unit. | 0.76992 |
8,731,945 | 2 | 3 | 2. The system of claim 1 , wherein the processor further is adapted to: generate, for each VP homonym and thematic pattern combination, a vector of frames of the possible VP homonym parsings based on the thematic pattern. | 2. The system of claim 1 , wherein the processor further is adapted to: generate, for each VP homonym and thematic pattern combination, a vector of frames of the possible VP homonym parsings based on the thematic pattern. 3. The system of claim 2 , wherein a best match between pattern segments and input segments is evaluated and verified. | 0.812698 |
9,208,213 | 10 | 11 | 10. A computer-implemented method of presenting reports processed by an on-line analytical processing (OLAP) system over a network, the method being implemented by a computer that includes a physical processor, the method comprising: receiving, from a user system through a web browser, a request for a workbook comprising a plurality of reports and a selection of one or more specified templates or filter combinations to format one or more of the plurality of reports; returning control of the web browser to enable a user to use the web browser to perform one or more other tasks while the workbook request is being processed, wherein the one or more other tasks includes requesting an additional workbook; receiving the workbook comprising the plurality of reports processed by the OLAP system in response to the workbook request; formatting one or more of the plurality of reports in the workbook in accordance with the selected one or more specified template or filter combinations received from the user system through the web browser in communication with the OLAP system over the network; building an interactive spreadsheet application for presenting the workbook at the web browser of the user system, wherein the interactive spreadsheet application configures an arrangement of the plurality of formatted reports in the workbook; and transmitting the workbook including the plurality of formatted reports within a page over the network to the web browser of the user system through which the request was received, wherein the transmitted workbook is presented at the user system using the interactive spreadsheet application displayed within the web browser. | 10. A computer-implemented method of presenting reports processed by an on-line analytical processing (OLAP) system over a network, the method being implemented by a computer that includes a physical processor, the method comprising: receiving, from a user system through a web browser, a request for a workbook comprising a plurality of reports and a selection of one or more specified templates or filter combinations to format one or more of the plurality of reports; returning control of the web browser to enable a user to use the web browser to perform one or more other tasks while the workbook request is being processed, wherein the one or more other tasks includes requesting an additional workbook; receiving the workbook comprising the plurality of reports processed by the OLAP system in response to the workbook request; formatting one or more of the plurality of reports in the workbook in accordance with the selected one or more specified template or filter combinations received from the user system through the web browser in communication with the OLAP system over the network; building an interactive spreadsheet application for presenting the workbook at the web browser of the user system, wherein the interactive spreadsheet application configures an arrangement of the plurality of formatted reports in the workbook; and transmitting the workbook including the plurality of formatted reports within a page over the network to the web browser of the user system through which the request was received, wherein the transmitted workbook is presented at the user system using the interactive spreadsheet application displayed within the web browser. 11. The method of claim 10 , wherein the one or more template or filter combinations specify a plurality of format levels used to format the plurality of reports in the workbook. | 0.718354 |
7,620,245 | 1 | 9 | 1. A method for improving cursive handwriting recognition comprising the steps of: receiving a cursive handwriting input from a user; performing a first same space search against a mixed database having print and cursive handwriting samples to generate a first mixed alternate list of possible matches to the cursive handwriting input; performing a second same space search against a cursive database having cursive samples to generate a first cursive alternate list of possible matches to the cursive handwriting input; merging the first mixed alternate list with the first cursive alternate list to form a first combined alternate list; using the first combined alternate list as a constraint, performing a first dynamic time warp search against the mixed database to generate a second mixed alternate list of possible matches to the cursive handwriting input; using the first combined alternate list as a constraint, performing a second dynamic time warp search against the cursive database to generate a second cursive alternate list of possible matches to the cursive handwriting input; and merging the second mixed alternate list with the second cursive alternate list to form a second combined alternate list. | 1. A method for improving cursive handwriting recognition comprising the steps of: receiving a cursive handwriting input from a user; performing a first same space search against a mixed database having print and cursive handwriting samples to generate a first mixed alternate list of possible matches to the cursive handwriting input; performing a second same space search against a cursive database having cursive samples to generate a first cursive alternate list of possible matches to the cursive handwriting input; merging the first mixed alternate list with the first cursive alternate list to form a first combined alternate list; using the first combined alternate list as a constraint, performing a first dynamic time warp search against the mixed database to generate a second mixed alternate list of possible matches to the cursive handwriting input; using the first combined alternate list as a constraint, performing a second dynamic time warp search against the cursive database to generate a second cursive alternate list of possible matches to the cursive handwriting input; and merging the second mixed alternate list with the second cursive alternate list to form a second combined alternate list. 9. A computer-readable medium having computer-executable instructions for causing a computer to perform the steps recited in claim 1 . | 0.510949 |
8,996,517 | 15 | 18 | 15. A non-transitory computer-readable medium storing instructions, the instructions comprising: one or more instructions that, when executed by at least one processor, cause the at least one processor to: provide, for display, information regarding a document; provide, for display, a first option in connection with the information regarding the document, the first option being associated with removing the document for a particular search; provide, for display, a second option in connection with the information regarding the document, the second option being associated with removing the document for a particular session; provide, for display, a third option in connection with the information regarding the document, the third option being associated with removing the document for at least one of a plurality of searches or a plurality of sessions; receive information regarding a selection of the first option, the second option, or the third option as a selected option; and add, based on the selection, information identifying the document to a remove list associated with the selected option, the remove list being for the particular search when the selection is of the first option, the remove list being for the particular session when the selection is of the second option, and the remove list being for at least one of the plurality of searches or the plurality of sessions when the selection is of the third option. | 15. A non-transitory computer-readable medium storing instructions, the instructions comprising: one or more instructions that, when executed by at least one processor, cause the at least one processor to: provide, for display, information regarding a document; provide, for display, a first option in connection with the information regarding the document, the first option being associated with removing the document for a particular search; provide, for display, a second option in connection with the information regarding the document, the second option being associated with removing the document for a particular session; provide, for display, a third option in connection with the information regarding the document, the third option being associated with removing the document for at least one of a plurality of searches or a plurality of sessions; receive information regarding a selection of the first option, the second option, or the third option as a selected option; and add, based on the selection, information identifying the document to a remove list associated with the selected option, the remove list being for the particular search when the selection is of the first option, the remove list being for the particular session when the selection is of the second option, and the remove list being for at least one of the plurality of searches or the plurality of sessions when the selection is of the third option. 18. The non-transitory computer-readable medium of claim 15 , where the remove list is one of a plurality of remove lists, the plurality of remove lists including: a first remove list for the particular search, a second remove list for the particular session, and a third remove list for at least one of the plurality of searches or the plurality of sessions. | 0.639558 |
8,408,914 | 14 | 17 | 14. The method according to claim 1 , which further comprises defining each of the set of Chinese radicals as a source and associating at least one icon with a respective source, the at least one icon being a Chinese character having a physical similarity to the source. | 14. The method according to claim 1 , which further comprises defining each of the set of Chinese radicals as a source and associating at least one icon with a respective source, the at least one icon being a Chinese character having a physical similarity to the source. 17. The method according to claim 14 , which further comprises defining the at least one icon to be three icons. | 0.90378 |
7,496,593 | 1 | 20 | 1. A computer-implemented system for creating one or more multi-relational ontologies having a predetermined structure, the system comprising: at least one processor and a memory having instructions causing the processor to: (i) create an upper ontology that includes: a set of predetermined concept types, a set of predetermined relationship types, a set of concept type pairs, and for each concept type pair, a set of relationships permitted to be used to connect the concept types of the concept type pair; (ii) receive raw data and arrange the raw data into a plurality of individual assertions according to the upper ontology, each assertion comprising a first concept, a second concept, and a relationship between the first and second concept, wherein the first and second concept of each assertion have a concept type from the set of predetermined concept types, wherein the relationship of each assertion has a relationship type from the set of predetermined relationship types, wherein the first and second concept of each assertion belong to a concept type pair of the set of concept type pairs and are connected by a relationship from the set of possible relationships permitted for the concept type pair, wherein at least one concept within the plurality of assertions is part of more than one assertion, wherein one or more relationships in the plurality of individual assertions comprise relationships unconstrained by any hierarchical arrangement of concepts, wherein each concept within each assertion of the plurality of individual assertions is associated with a label, a concept type, and at least one property, and wherein the at least one property includes at least a version of a data source from which the concept was derived; and (iii) store on at least one data storage device: the plurality of individual assertions as one or more multi-relational ontologies, and one or more pieces of evidence supporting information contained in each assertion of the plurality of assertions, wherein each of the one or more pieces of evidence are linked to their corresponding assertion such that each of the one or more pieces of evidence are able to be accessed along with their corresponding assertion, and wherein the one or more pieces of evidence are each associated with at least a data source from which the evidence is derived. | 1. A computer-implemented system for creating one or more multi-relational ontologies having a predetermined structure, the system comprising: at least one processor and a memory having instructions causing the processor to: (i) create an upper ontology that includes: a set of predetermined concept types, a set of predetermined relationship types, a set of concept type pairs, and for each concept type pair, a set of relationships permitted to be used to connect the concept types of the concept type pair; (ii) receive raw data and arrange the raw data into a plurality of individual assertions according to the upper ontology, each assertion comprising a first concept, a second concept, and a relationship between the first and second concept, wherein the first and second concept of each assertion have a concept type from the set of predetermined concept types, wherein the relationship of each assertion has a relationship type from the set of predetermined relationship types, wherein the first and second concept of each assertion belong to a concept type pair of the set of concept type pairs and are connected by a relationship from the set of possible relationships permitted for the concept type pair, wherein at least one concept within the plurality of assertions is part of more than one assertion, wherein one or more relationships in the plurality of individual assertions comprise relationships unconstrained by any hierarchical arrangement of concepts, wherein each concept within each assertion of the plurality of individual assertions is associated with a label, a concept type, and at least one property, and wherein the at least one property includes at least a version of a data source from which the concept was derived; and (iii) store on at least one data storage device: the plurality of individual assertions as one or more multi-relational ontologies, and one or more pieces of evidence supporting information contained in each assertion of the plurality of assertions, wherein each of the one or more pieces of evidence are linked to their corresponding assertion such that each of the one or more pieces of evidence are able to be accessed along with their corresponding assertion, and wherein the one or more pieces of evidence are each associated with at least a data source from which the evidence is derived. 20. The system of claim 1 , wherein the one or more pieces of evidence are each further associated with a data source type from which the evidence is derived. | 0.793734 |
8,374,859 | 12 | 13 | 12. The automatic answering system according to claim 11 , further comprising: a conversation server configured to receive the user utterance from the automatic answering device, to determine the reply sentence corresponding to the received inputted sentence on the basis of the conversation scenario generated by the conversation scenario editing device, and to transmit the determined reply sentence to the automatic answering device. | 12. The automatic answering system according to claim 11 , further comprising: a conversation server configured to receive the user utterance from the automatic answering device, to determine the reply sentence corresponding to the received inputted sentence on the basis of the conversation scenario generated by the conversation scenario editing device, and to transmit the determined reply sentence to the automatic answering device. 13. The automatic answering system according to claim 12 , wherein, when the conversation server determines that the conversation scenario does not includes a reply sentence corresponding to the user utterance accepted from the user, the conversation server transmits the user utterance in order to obtain a reply corresponding to the user utterance from an expert, receives data of a reply from the expert corresponding to the transmitted user utterance, transmits the received data of the reply from the expert to the conversation device, transmits a conversation log storing the inputted sentence corresponding to the user utterance, the data of the reply from the expert, and a reply sentence corresponding to the data of the reply from the expert, and receives and stores a conversation scenario generated based on the transmitted conversation log. | 0.5 |
7,505,040 | 13 | 14 | 13. A method for use in a computer system of generating information for altering a composite character configured for presentation by an output device, wherein the composite character includes a first component glyph and a second component glyph, each component glyph being defined by an outline, the method comprising: identifying, by the computer system, a first control point associated with the outline of the first component glyph and a second control point associated with the outline of the second component glyph, wherein identifying a first control point and a second control point comprises: determining one or more candidate control points for each of the first component glyph and the second component glyph; selecting the first control point from the one or more candidate control points determined for the first component glyph; and selecting the second control point from the one or more candidate control points determined for the second component glyph; determining, by the computer system, a typographically relevant offset constraint associated with the composite character and being dependent on the identified first and second control points of the first and second component glyphs. the offset constraint including a vertical offset and a horizontal offset between the first component glyph and the second component glyph; recording the first control point, the second control point, and the offset constraint in association with the composite character; and scaling the outlines of the first and second component glyphs and the vertical and horizontal offsets of the offset constraint based at least in part on an output device resolution | 13. A method for use in a computer system of generating information for altering a composite character configured for presentation by an output device, wherein the composite character includes a first component glyph and a second component glyph, each component glyph being defined by an outline, the method comprising: identifying, by the computer system, a first control point associated with the outline of the first component glyph and a second control point associated with the outline of the second component glyph, wherein identifying a first control point and a second control point comprises: determining one or more candidate control points for each of the first component glyph and the second component glyph; selecting the first control point from the one or more candidate control points determined for the first component glyph; and selecting the second control point from the one or more candidate control points determined for the second component glyph; determining, by the computer system, a typographically relevant offset constraint associated with the composite character and being dependent on the identified first and second control points of the first and second component glyphs. the offset constraint including a vertical offset and a horizontal offset between the first component glyph and the second component glyph; recording the first control point, the second control point, and the offset constraint in association with the composite character; and scaling the outlines of the first and second component glyphs and the vertical and horizontal offsets of the offset constraint based at least in part on an output device resolution 14. The method of claim 13 wherein the first control point is located at a directional extreme of the composite character. | 0.5 |
7,814,097 | 19 | 25 | 19. A computer-readable storage that stores instructions which, when executed by one or more processors, cause the one of more processors to perform the steps of: receiving a search query that includes a first spelling of a term; generating a second spelling of the term; accessing a first set of items that are associated with the first spelling of the term; accessing a second set of items that are associated with the second spelling of the term; performing a comparison between the first set to the second set at least in part by determining a degree to which items in the first set overlap with items in the second set; determining how to respond to the search query based, at least in part, on the comparison; determining a relative ranking of the items in the first set of items, indicating how strongly a particular item in the first set is associated with a user-provided spelling of the term as compared to the remainder of the items in the first set; determining a relative ranking of the items in the second set of items, indicating how strongly a particular item in the second set is associated with an alternative spelling of the term as compared to the remainder of the items in the second set; identifying a plurality of overlap items that are included in both the first set of items and the second set of items; increasing a degree to which the items in the first set correlate to items in the second set based on a determination that a first item in the plurality of overlap items has a relative ranking above a first threshold; and decreasing the degree to which the items in the first set correlate to items in the second set based on a determination that a second item in the plurality of overlap items has a relative ranking below a second threshold. | 19. A computer-readable storage that stores instructions which, when executed by one or more processors, cause the one of more processors to perform the steps of: receiving a search query that includes a first spelling of a term; generating a second spelling of the term; accessing a first set of items that are associated with the first spelling of the term; accessing a second set of items that are associated with the second spelling of the term; performing a comparison between the first set to the second set at least in part by determining a degree to which items in the first set overlap with items in the second set; determining how to respond to the search query based, at least in part, on the comparison; determining a relative ranking of the items in the first set of items, indicating how strongly a particular item in the first set is associated with a user-provided spelling of the term as compared to the remainder of the items in the first set; determining a relative ranking of the items in the second set of items, indicating how strongly a particular item in the second set is associated with an alternative spelling of the term as compared to the remainder of the items in the second set; identifying a plurality of overlap items that are included in both the first set of items and the second set of items; increasing a degree to which the items in the first set correlate to items in the second set based on a determination that a first item in the plurality of overlap items has a relative ranking above a first threshold; and decreasing the degree to which the items in the first set correlate to items in the second set based on a determination that a second item in the plurality of overlap items has a relative ranking below a second threshold. 25. The computer-readable storage of claim 19 , wherein determining how to respond includes determining that a response to the search query is to include first search results that are relevant to a search query that includes the first spelling of the term and second search results that are relevant to a search query that includes the second spelling of the term. | 0.723404 |
9,832,330 | 2 | 3 | 2. The image reading apparatus according to claim 1 , wherein the second surface of the frame member of the main unit includes the protrusion that, when the openable unit is in the closed position, protrudes toward the facing surface of the openable unit. | 2. The image reading apparatus according to claim 1 , wherein the second surface of the frame member of the main unit includes the protrusion that, when the openable unit is in the closed position, protrudes toward the facing surface of the openable unit. 3. The image reading apparatus according to claim 2 , wherein the protrusion includes a first rib portion formed on the second surface of the frame member of the main unit and extending in the second direction. | 0.5 |
8,484,142 | 1 | 7 | 1. A computer program product embodied in a non-transitory computer readable medium that, when executing on one or more computers, helps target responses returned to a user through the use of a computer facility by performing the steps of: providing a user preference learning API to a third-party website to determine preferences of a user as related to a market of a third-party, wherein the preference learning API is executing as an extension of the computer facility; receiving third-party information related to the market of the third-party; collecting the preferences of the user and storing them as a user preference profile; receiving a query from the user at the third-party website; and using in the user preference learning API the third-party information related to the market of the third-party and the preferences of the user as stored in the user preference profile to provide a response back to the user that relates to the query from the user. | 1. A computer program product embodied in a non-transitory computer readable medium that, when executing on one or more computers, helps target responses returned to a user through the use of a computer facility by performing the steps of: providing a user preference learning API to a third-party website to determine preferences of a user as related to a market of a third-party, wherein the preference learning API is executing as an extension of the computer facility; receiving third-party information related to the market of the third-party; collecting the preferences of the user and storing them as a user preference profile; receiving a query from the user at the third-party website; and using in the user preference learning API the third-party information related to the market of the third-party and the preferences of the user as stored in the user preference profile to provide a response back to the user that relates to the query from the user. 7. The computer program product of claim 1 , wherein the response is providing a recommendation of at least one of a product and service related to the market of the third-party. | 0.774112 |
8,057,300 | 11 | 12 | 11. A system for providing sporting event odds and information, for sports books, in substantially real time where the sports books, gamblers and enthusiasts want real time odds and information on a sports books computer, the system comprising: a program executed by a computer that utilizes an Internet connection to provide real time sports bet odds and information for a plurality of sports games from a plurality of sport books, said real time sports bet odds and information being downloaded and stored on the computer, wherein the program is incapable of placing bets; the program generating a display of real time sports bet odds and information including a major line move alert indicating when a number of sport books change their odds for a bet for a sports game in the same direction within a user settable period of time; and the program allowing navigation of the display in order to acquire real time sports bet odds and information wherein the program generates a menu made up of various menus, and for any particular game or bet, the program being capable of visually cycling through odds for the plurality of sport books. | 11. A system for providing sporting event odds and information, for sports books, in substantially real time where the sports books, gamblers and enthusiasts want real time odds and information on a sports books computer, the system comprising: a program executed by a computer that utilizes an Internet connection to provide real time sports bet odds and information for a plurality of sports games from a plurality of sport books, said real time sports bet odds and information being downloaded and stored on the computer, wherein the program is incapable of placing bets; the program generating a display of real time sports bet odds and information including a major line move alert indicating when a number of sport books change their odds for a bet for a sports game in the same direction within a user settable period of time; and the program allowing navigation of the display in order to acquire real time sports bet odds and information wherein the program generates a menu made up of various menus, and for any particular game or bet, the program being capable of visually cycling through odds for the plurality of sport books. 12. The system of claim 11 , wherein the program downloads and stores, on the computer, occurrences in connection with the odds analyzing the information and generates an alert to a user when a predetermined occurrence takes place in connection with the odds. | 0.5 |
7,822,621 | 15 | 16 | 15. The method of claim 1 , wherein the at least one claim element includes a plurality of edits, the plurality of edits representing situations that hinder claim payment by a payer. | 15. The method of claim 1 , wherein the at least one claim element includes a plurality of edits, the plurality of edits representing situations that hinder claim payment by a payer. 16. The method of claim 15 , wherein the applying step comprises applying the at least one knowledge-base-population rule to at least one of the plurality of edits to acquire the claim-processing knowledge. | 0.679128 |
8,868,407 | 3 | 4 | 3. A referring expression processor comprising according to claim 2 , wherein a way of determining the reference domain is changed depending on types of referring expressions. | 3. A referring expression processor comprising according to claim 2 , wherein a way of determining the reference domain is changed depending on types of referring expressions. 4. A referring expression processor according to claim 3 , wherein the reference domain is determined to include all elements when a referring expression contains a demonstrative. | 0.729607 |
7,809,698 | 1 | 7 | 1. A method comprising: monitoring a document data stream for document control file identifiers; upon encountering a first control file identifier referring to a first document control file, creating a mapping of the first control file identifier to a new storage location; transforming the first control file identifier in the document data stream to a second control file identifier; referring to the new storage location based on the mapping of the first control file identifier; copying a remote document control file identified by the first control file identifier to a document control file at the new storage location specified by the mapping; protecting the document control file by one of a digital signature and other authentication mechanism; authenticating the document control file to provide a trusted copy; storing the trusted copy of the authenticated document control file at the new storage area located within a trusted repository; and processing the data stream with the second control file identifier, the processing of the data stream comprising: determining the validity of data in the document data stream using the authenticated document control file stored in the trusted repository; and halting the processing of the data stream in response to instructions included in the authenticated document control file related to processing the data stream. | 1. A method comprising: monitoring a document data stream for document control file identifiers; upon encountering a first control file identifier referring to a first document control file, creating a mapping of the first control file identifier to a new storage location; transforming the first control file identifier in the document data stream to a second control file identifier; referring to the new storage location based on the mapping of the first control file identifier; copying a remote document control file identified by the first control file identifier to a document control file at the new storage location specified by the mapping; protecting the document control file by one of a digital signature and other authentication mechanism; authenticating the document control file to provide a trusted copy; storing the trusted copy of the authenticated document control file at the new storage area located within a trusted repository; and processing the data stream with the second control file identifier, the processing of the data stream comprising: determining the validity of data in the document data stream using the authenticated document control file stored in the trusted repository; and halting the processing of the data stream in response to instructions included in the authenticated document control file related to processing the data stream. 7. The method of claim 1 , wherein a validity indication for the control file may change the processing of the data stream. | 0.837302 |
8,566,095 | 21 | 22 | 21. The computer program product of claim 19 , wherein adjusting the initial probability of the first n-gram identifying a word based at least in part on the first number of atomic units comprises: identifying a scaling weight depending on the first number of atomic units; and applying the scaling weight to the initial probability of the first n-gram identifying a word to determine the scaled probability of the first n-gram identifying a word. | 21. The computer program product of claim 19 , wherein adjusting the initial probability of the first n-gram identifying a word based at least in part on the first number of atomic units comprises: identifying a scaling weight depending on the first number of atomic units; and applying the scaling weight to the initial probability of the first n-gram identifying a word to determine the scaled probability of the first n-gram identifying a word. 22. The computer program product of claim 21 , wherein the scaled probability of the first n-gram identifying a word is x n , where x is the initial probability of the first n-gram identifying a word and n is the first number of atomic units. | 0.831711 |
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