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1. A print control apparatus comprising: a print controller including one or more processors and at least one memory, the print controller functioning as: a receiving unit configured to receive, from an external device, a print job that includes a plurality of ordered document files, and a print page range indicating sequential target pages, an initial page in the sequential target pages corresponding to a print start page in one of the plurality of ordered document files, and a last page in the sequential target pages corresponding to a print end page in another one of the plurality of ordered document files; and a rasterizing unit configured to selectively rasterize pages of the received print job based on the print page range, so that the sequential target pages, including at least (i) pages between the print start page and a last page of the one document file and (ii) pages between a first page and the print end page of the other one document file, are rasterized, and the pages other than the sequential target pages are not rasterized, wherein the sequential target pages are printed and the pages of the print job other than the sequential target pages are not printed. | 1. A print control apparatus comprising: a print controller including one or more processors and at least one memory, the print controller functioning as: a receiving unit configured to receive, from an external device, a print job that includes a plurality of ordered document files, and a print page range indicating sequential target pages, an initial page in the sequential target pages corresponding to a print start page in one of the plurality of ordered document files, and a last page in the sequential target pages corresponding to a print end page in another one of the plurality of ordered document files; and a rasterizing unit configured to selectively rasterize pages of the received print job based on the print page range, so that the sequential target pages, including at least (i) pages between the print start page and a last page of the one document file and (ii) pages between a first page and the print end page of the other one document file, are rasterized, and the pages other than the sequential target pages are not rasterized, wherein the sequential target pages are printed and the pages of the print job other than the sequential target pages are not printed. 9. The print control apparatus according to claim 1 , wherein the print page range is set in the print job. | 0.732488 |
1. A method of discovering work-item relations, comprising: analyzing, automatically by a processor, a description of a collection of work-items created in one or more projects, to generate a plurality of work-item elements and their relationships; analyzing, automatically by the processor, one or more standardized specifications describing practice guidelines to follow in executing said one or more projects and deliverables expected to be generated, to generate a plurality of standardized specification elements and their relationships represented as nodes and edges, the one or more standardized specifications specified in a text form and comprising a title of a task involved in the one or more projects, a relationship the task in the one or more projects has with another task in the one or more projects, description of the task, the one or more standardized specification further comprising a work-breakdown tree with different tasks comprising at least the task; mapping, automatically by the processor, said plurality of work-item elements to said plurality of standardized specification elements, the mapping comprising identifying a threshold similarity between a single work-item element node and a standardized specification element, and between a pair of work-item element nodes with associated link relationship and a pair of standardized specification elements with associated link relationship, wherein the single work-item element node is mapped at most to one standardized specification element, the identifying the threshold similarity comprising one or more of string similarity, Boolean similarity and relational similarity; discovering, automatically by the processor, at least one or more missing relations among said plurality of work-item elements based on said mapping, wherein the relationships comprise at least one or more of changed by, has same owner as, input from and output to; receiving, based on at least on one of a determination that the mapping creates a conflict and the mapping has a low confidence, input from a user to resolve the at least one of the conflict in the mapping and the low confidence in the mapping; and adding, automatically by the processor, the discovered one or more missing relations as edges to the mapping. | 1. A method of discovering work-item relations, comprising: analyzing, automatically by a processor, a description of a collection of work-items created in one or more projects, to generate a plurality of work-item elements and their relationships; analyzing, automatically by the processor, one or more standardized specifications describing practice guidelines to follow in executing said one or more projects and deliverables expected to be generated, to generate a plurality of standardized specification elements and their relationships represented as nodes and edges, the one or more standardized specifications specified in a text form and comprising a title of a task involved in the one or more projects, a relationship the task in the one or more projects has with another task in the one or more projects, description of the task, the one or more standardized specification further comprising a work-breakdown tree with different tasks comprising at least the task; mapping, automatically by the processor, said plurality of work-item elements to said plurality of standardized specification elements, the mapping comprising identifying a threshold similarity between a single work-item element node and a standardized specification element, and between a pair of work-item element nodes with associated link relationship and a pair of standardized specification elements with associated link relationship, wherein the single work-item element node is mapped at most to one standardized specification element, the identifying the threshold similarity comprising one or more of string similarity, Boolean similarity and relational similarity; discovering, automatically by the processor, at least one or more missing relations among said plurality of work-item elements based on said mapping, wherein the relationships comprise at least one or more of changed by, has same owner as, input from and output to; receiving, based on at least on one of a determination that the mapping creates a conflict and the mapping has a low confidence, input from a user to resolve the at least one of the conflict in the mapping and the low confidence in the mapping; and adding, automatically by the processor, the discovered one or more missing relations as edges to the mapping. 5. The method of claim 1 , wherein each of the work-item indicates a single unit of work needed to be completed in a context of said one or more projects. | 0.549473 |
7. The method of claim 6 , wherein a previous token is on this waiting list if that previous token was found more than once for that data object type and any tokens between that previous token and the token just added to the list were found more than once for that data object type. | 7. The method of claim 6 , wherein a previous token is on this waiting list if that previous token was found more than once for that data object type and any tokens between that previous token and the token just added to the list were found more than once for that data object type. 8. The method of claim 7 , wherein a token is removed from the waiting list for that data object type if the token it is not part of a phase that is found more than once for that data object type. | 0.943884 |
30. A computer-readable storage medium that includes data and instructions for enabling actions to be performed on a remote platform, comprising: a first component for enabling a request for a document from the remote platform, a type of the platform including a type of an operating system and type of a native browser that are employed to display the document; a second component for enabling a determination of the type of the remote platform and selectively associating a size ratio between a plurality of font sizes with the determined type of the remote platform, the enabling the determination of the type of the remote platform comprising enabling a determination of the type of the operating system and the determination of the type of the native browser, and the selective association being based on the determination of the type of the operating system and the determination of the type of the native browser; a third component for enabling the document with a plurality of font sizes for the document to be provided to the remote platform for display, the document is being locally scaled for display by the operation of the native browser with the size ratio for the plurality of font sizes; and a fourth component for enabling the plurality of font sizes to be changed by an execution of a script included with the document using at least one control of the native browser operating on the remote platform, the size ratio between the plurality of font sizes being determined by the native browser and maintained for a change to a size of at least one font displayed in the document at the remote platform, the execution changes the at least one font for at least one markup language text element displayed within the document. | 30. A computer-readable storage medium that includes data and instructions for enabling actions to be performed on a remote platform, comprising: a first component for enabling a request for a document from the remote platform, a type of the platform including a type of an operating system and type of a native browser that are employed to display the document; a second component for enabling a determination of the type of the remote platform and selectively associating a size ratio between a plurality of font sizes with the determined type of the remote platform, the enabling the determination of the type of the remote platform comprising enabling a determination of the type of the operating system and the determination of the type of the native browser, and the selective association being based on the determination of the type of the operating system and the determination of the type of the native browser; a third component for enabling the document with a plurality of font sizes for the document to be provided to the remote platform for display, the document is being locally scaled for display by the operation of the native browser with the size ratio for the plurality of font sizes; and a fourth component for enabling the plurality of font sizes to be changed by an execution of a script included with the document using at least one control of the native browser operating on the remote platform, the size ratio between the plurality of font sizes being determined by the native browser and maintained for a change to a size of at least one font displayed in the document at the remote platform, the execution changes the at least one font for at least one markup language text element displayed within the document. 32. The computer-readable storage medium of claim 30 , further comprising a component for enabling a determination of a font color for the plurality of fonts, wherein the font color is provided with the document to the remote platform. | 0.631535 |
1. A computer implemented method for identifying phrases in a document collection, the method comprising: collecting possible phrases from documents in the document collection; classifying individual possible phrases as either a good phrase or a bad phrase according to a frequency of occurrence of the individual possible phrase; determining, for a pair of good phrases g j and g k in the document collection, an information gain of g k with respect to g j as a function of an actual co-occurrence rate of g j and g k and an expected co-occurrence rate of g j and g k in the document collection; selectively retaining as valid phrases those good phrases that, predict the occurrence of at least one other good phrase in the document collection, where a good phrase g j predicts the occurrence of another good phrase g k in the document collection when the determined information gain of g k in the presence of g j exceeds a first predetermined threshold; identifying, for a plurality of selectively retained valid phrases g x , a phrase g y as a related phrase of g x where the information gain of g y in the presence of g x exceeds a second predetermined threshold that is more restrictive than the first predetermined threshold; and storing the valid phrases and identified related phrases on a computer-readable storage medium. | 1. A computer implemented method for identifying phrases in a document collection, the method comprising: collecting possible phrases from documents in the document collection; classifying individual possible phrases as either a good phrase or a bad phrase according to a frequency of occurrence of the individual possible phrase; determining, for a pair of good phrases g j and g k in the document collection, an information gain of g k with respect to g j as a function of an actual co-occurrence rate of g j and g k and an expected co-occurrence rate of g j and g k in the document collection; selectively retaining as valid phrases those good phrases that, predict the occurrence of at least one other good phrase in the document collection, where a good phrase g j predicts the occurrence of another good phrase g k in the document collection when the determined information gain of g k in the presence of g j exceeds a first predetermined threshold; identifying, for a plurality of selectively retained valid phrases g x , a phrase g y as a related phrase of g x where the information gain of g y in the presence of g x exceeds a second predetermined threshold that is more restrictive than the first predetermined threshold; and storing the valid phrases and identified related phrases on a computer-readable storage medium. 12. The method of claim 1 , further comprising: removing incomplete phrases from the good phrases. | 0.63961 |
10. An information processing apparatus, including one or more hardware elements, comprising: referring means for referring to a table in which a characteristic of each piece of first information is expressed as distribution of model parameters in a plurality of semantic classes, in units of pieces of the first information, obtaining means for obtaining second information to be searched for; extracting means for extracting the semantic classes in descending order of model parameter of the second information; and first reading means for reading the pieces of the first information from the table in descending order of model parameter in the semantic classes extracted by the extracting means; extracting means for extracting the semantic classes of the first information read by the first reading means; and second reading means for reading the pieces of the first information from the table in descending order of model parameter in the semantic classes extracted by the extracting means, wherein the first information read by the first reading means is recommended information that is recommended to a user as information related to the second information, and wherein the first information read by the second reading means is information provided to the user as a recommendation reason indicating which of the plurality of semantic classes is a reason the recommended information is recommended, and wherein the recommendation reason is one of the plurality of semantic classes that is scored as a highest value of similarity between the recommended information and obtained second information when a value for each of the plurality of semantic classes for the recommended information is compared with a value for each of the plurality of semantic classes for the obtained second information. | 10. An information processing apparatus, including one or more hardware elements, comprising: referring means for referring to a table in which a characteristic of each piece of first information is expressed as distribution of model parameters in a plurality of semantic classes, in units of pieces of the first information, obtaining means for obtaining second information to be searched for; extracting means for extracting the semantic classes in descending order of model parameter of the second information; and first reading means for reading the pieces of the first information from the table in descending order of model parameter in the semantic classes extracted by the extracting means; extracting means for extracting the semantic classes of the first information read by the first reading means; and second reading means for reading the pieces of the first information from the table in descending order of model parameter in the semantic classes extracted by the extracting means, wherein the first information read by the first reading means is recommended information that is recommended to a user as information related to the second information, and wherein the first information read by the second reading means is information provided to the user as a recommendation reason indicating which of the plurality of semantic classes is a reason the recommended information is recommended, and wherein the recommendation reason is one of the plurality of semantic classes that is scored as a highest value of similarity between the recommended information and obtained second information when a value for each of the plurality of semantic classes for the recommended information is compared with a value for each of the plurality of semantic classes for the obtained second information. 11. The information processing apparatus according to claim 10 , wherein the reading means extracts the semantic classes in descending order of model parameter of the read pieces of the first information and further reads the pieces of the first information from the table in descending order of model parameter in the extracted semantic classes. | 0.740269 |
3. A method in accordance with claim 2 , wherein: the psychological state of the person is at least one of anger, anxiety, depression, emotional withdrawal, lack of flexibility, impulsiveness and emotional instability. | 3. A method in accordance with claim 2 , wherein: the psychological state of the person is at least one of anger, anxiety, depression, emotional withdrawal, lack of flexibility, impulsiveness and emotional instability. 7. A method in accordance with claim 3 , wherein the computer analysis is of only a single computer communication of the person. | 0.960989 |
1. A system for operating a digital assistant to explore media items, the system comprising: one or more processors; and memory having instructions stored thereon, the instructions, when executed by the one or more processors, cause the one or more processors to: receive, from a user, speech input representing a request for one or more media items; evaluate a text representation of the speech input against a set of rules to determine whether or not the speech input corresponds to a user intent of obtaining personalized recommendations for media items, wherein the evaluating includes determining an actionable intent node by analyzing words in the text representation against words of a vocabulary index associated with a plurality of actionable intent nodes, and wherein the set of rules includes a first rule that the actionable intent node corresponds to an actionable intent of obtaining personalized recommendations for media items and a second rule that one or more words in the text representation refers to the user; in accordance with a determination that the text representation satisfies the set of rules: obtain at least one media item from a user-specific corpus of media items, the user-specific corpus of media items generated according to inferred media preferences of the user; and provide the at least one media item from the user-specific corpus of media items; and in accordance with a determination that the text representation does not satisfy the set of rules: obtain at least one media item from a general corpus of media items, the general corpus of media items generated according to inferred media preferences of a plurality of users; and provide the at least one media item from the general corpus of media items. | 1. A system for operating a digital assistant to explore media items, the system comprising: one or more processors; and memory having instructions stored thereon, the instructions, when executed by the one or more processors, cause the one or more processors to: receive, from a user, speech input representing a request for one or more media items; evaluate a text representation of the speech input against a set of rules to determine whether or not the speech input corresponds to a user intent of obtaining personalized recommendations for media items, wherein the evaluating includes determining an actionable intent node by analyzing words in the text representation against words of a vocabulary index associated with a plurality of actionable intent nodes, and wherein the set of rules includes a first rule that the actionable intent node corresponds to an actionable intent of obtaining personalized recommendations for media items and a second rule that one or more words in the text representation refers to the user; in accordance with a determination that the text representation satisfies the set of rules: obtain at least one media item from a user-specific corpus of media items, the user-specific corpus of media items generated according to inferred media preferences of the user; and provide the at least one media item from the user-specific corpus of media items; and in accordance with a determination that the text representation does not satisfy the set of rules: obtain at least one media item from a general corpus of media items, the general corpus of media items generated according to inferred media preferences of a plurality of users; and provide the at least one media item from the general corpus of media items. 15. The system of claim 1 , wherein the instructions further cause the one or more processors to: determine an identity of the user by performing speaker identification using the speech input; and in accordance with the determination that the text representation satisfies the set of rules, determine, based on the determined identity of the user, the user-specific corpus of media items from a plurality of user-specific corpuses of media items. | 0.60203 |
12. The method of claim 1 , further comprising synthesizing respective ensemble weight values for the ensemble phoneme recognition neural network by training the ensemble phoneme recognition neural network in combination with the problematic phoneme-specific expert neural network (PPENN) included in the phoneme-specific experts system. | 12. The method of claim 1 , further comprising synthesizing respective ensemble weight values for the ensemble phoneme recognition neural network by training the ensemble phoneme recognition neural network in combination with the problematic phoneme-specific expert neural network (PPENN) included in the phoneme-specific experts system. 14. The method of claim 12 , wherein training the ensemble phoneme recognition neural network includes synthesizing a targeted feature stream from training data, wherein the targeted feature stream includes spectral values that distinguish the target problematic phoneme from other phonemes. | 0.86261 |
6. A method for broadcast audience interaction, comprising: receiving, by a portable device, a discovery signal broadcast by a second device associated with a media output device; activating, by the portable device, a microphone of the portable device, responsive to reception of the discovery signal; recording, via the microphone, by the portable device, a segment of audio output by the media output device and an audio interaction by a user; transmitting, by the portable device to the second device, an identification of the recorded segment of audio and the recorded audio interaction; and reactivating, by the portable device, a timer of the microphone to continue the recording of the segment of audio output by the media output device and the audio interaction by the user, responsive to receipt of a second discovery signal broadcast by the second device; wherein the second device distinguishes the recorded segment of audio from the recorded audio interaction. | 6. A method for broadcast audience interaction, comprising: receiving, by a portable device, a discovery signal broadcast by a second device associated with a media output device; activating, by the portable device, a microphone of the portable device, responsive to reception of the discovery signal; recording, via the microphone, by the portable device, a segment of audio output by the media output device and an audio interaction by a user; transmitting, by the portable device to the second device, an identification of the recorded segment of audio and the recorded audio interaction; and reactivating, by the portable device, a timer of the microphone to continue the recording of the segment of audio output by the media output device and the audio interaction by the user, responsive to receipt of a second discovery signal broadcast by the second device; wherein the second device distinguishes the recorded segment of audio from the recorded audio interaction. 11. The method of claim 6 , further comprising: determining, by the portable device, responsive to the activation of the microphone, that a time duration of the activation of the microphone exceeds a predetermined period of time; deactivating, by the portable device, the microphone, responsive to determining that the time duration of the activation of the microphone exceeds the predetermined period of time. | 0.720408 |
13. A process performed by a computing machine, comprising: employing at least one computer executing stored instructions that, when executed by the at least one computer, configure the at least one computer to perform: storing rules in a rules library comprising a plurality of rules, each rule in the plurality of rules comprising: a. at least one condition based on one or more fields of customer relationship management data from a customer relationship management system and b. an indication of an action, the action being selected from a group comprising: a selection of a playbook element to be displayed and update of customer relationship management data from the customer relationship management system performed upon completion of a playbook element; providing a rules editing interface through which a playbook manager receives inputs from at least one first user, the playbook manager including an interface configured to query the customer relationship management system for available fields used for the customer relationship management data, the available fields being presented in the rules editing interface, wherein the inputs to the rules editing interface includes selection from among the available fields for use in rules, conditions for the rules and actions for the rules, wherein the playbook manager is configured to define one or more rules based at least on the inputs from the rules editing interface and to store the one or more defined rules in the rules library; providing a rules selection interface enabling the playbook manager to receive inputs from the at least one first user for editing a playbook, said playbook comprising a plurality of playbook elements, one or more of the playbook elements including content to be provided over a computer network to a prospect, the rules selection interface receiving an indication of a selection of one or more rules of a plurality of displayed rules from the rules library and an indication of a selection of a playbook element of a selected sales playbook, and associating the selected one or more rules with the selected playbook elements; and a playbook execution engine interactively receiving data for a prospect from the customer relationship management data from a customer relationship management system, and a selected sales playbook comprising playbook elements and rules from the rules library associated with the playbook elements of the selected sales playbook, the playbook execution engine interactively processing the sales playbook according to the rules associated with the playbook elements of the selected playbook and the received customer relationship data and inputs from at least one second user different from the at least one first user, to: interactively select playbook elements for presentation to the at least one second user, in response to an instruction from the at least one second user, cause any content associated with a playbook element to be provided over a computer network to the prospect, and interactively update the customer relationship management data in the customer relationship management system, through an interface configured to process updates to the customer relationship management data, in response to actions by the at least one second user with respect to the selected playbook elements. | 13. A process performed by a computing machine, comprising: employing at least one computer executing stored instructions that, when executed by the at least one computer, configure the at least one computer to perform: storing rules in a rules library comprising a plurality of rules, each rule in the plurality of rules comprising: a. at least one condition based on one or more fields of customer relationship management data from a customer relationship management system and b. an indication of an action, the action being selected from a group comprising: a selection of a playbook element to be displayed and update of customer relationship management data from the customer relationship management system performed upon completion of a playbook element; providing a rules editing interface through which a playbook manager receives inputs from at least one first user, the playbook manager including an interface configured to query the customer relationship management system for available fields used for the customer relationship management data, the available fields being presented in the rules editing interface, wherein the inputs to the rules editing interface includes selection from among the available fields for use in rules, conditions for the rules and actions for the rules, wherein the playbook manager is configured to define one or more rules based at least on the inputs from the rules editing interface and to store the one or more defined rules in the rules library; providing a rules selection interface enabling the playbook manager to receive inputs from the at least one first user for editing a playbook, said playbook comprising a plurality of playbook elements, one or more of the playbook elements including content to be provided over a computer network to a prospect, the rules selection interface receiving an indication of a selection of one or more rules of a plurality of displayed rules from the rules library and an indication of a selection of a playbook element of a selected sales playbook, and associating the selected one or more rules with the selected playbook elements; and a playbook execution engine interactively receiving data for a prospect from the customer relationship management data from a customer relationship management system, and a selected sales playbook comprising playbook elements and rules from the rules library associated with the playbook elements of the selected sales playbook, the playbook execution engine interactively processing the sales playbook according to the rules associated with the playbook elements of the selected playbook and the received customer relationship data and inputs from at least one second user different from the at least one first user, to: interactively select playbook elements for presentation to the at least one second user, in response to an instruction from the at least one second user, cause any content associated with a playbook element to be provided over a computer network to the prospect, and interactively update the customer relationship management data in the customer relationship management system, through an interface configured to process updates to the customer relationship management data, in response to actions by the at least one second user with respect to the selected playbook elements. 14. The process of claim 13 , wherein the rules associated with the playbook elements by the first user defines a sequence of steps to be performed by the second user when the second user interacts with the playbook elements through the playbook execution engine. | 0.52551 |
1. A system for distributed speech recognition, comprising: a prompt provided to a caller during a call; a receipt module to receive one or more audio responses from the caller in response to the prompt; a distributed speech recognition module to perform distributed speech recognition on the audio responses, comprising: a non-overlapping section of a main grammar provided to each of a plurality of secondary recognizers for each audio response; a speech recognition module to perform speech recognition on the audio responses by each of the secondary recognizers using the non-overlapping section of the main grammar associated with that secondary recognizer; a grammar module to provide a main grammar template to a main recognizer; a grammar construction module to construct a new grammar based on the main grammar template using speech recognition search results from each of the secondary recognizers; and a further speech recognition module to perform further speech recognition on the audio responses against the new grammar; and a further prompt provided to the caller based on results of the distributed speech recognition. | 1. A system for distributed speech recognition, comprising: a prompt provided to a caller during a call; a receipt module to receive one or more audio responses from the caller in response to the prompt; a distributed speech recognition module to perform distributed speech recognition on the audio responses, comprising: a non-overlapping section of a main grammar provided to each of a plurality of secondary recognizers for each audio response; a speech recognition module to perform speech recognition on the audio responses by each of the secondary recognizers using the non-overlapping section of the main grammar associated with that secondary recognizer; a grammar module to provide a main grammar template to a main recognizer; a grammar construction module to construct a new grammar based on the main grammar template using speech recognition search results from each of the secondary recognizers; and a further speech recognition module to perform further speech recognition on the audio responses against the new grammar; and a further prompt provided to the caller based on results of the distributed speech recognition. 6. A system according to claim 1 , further comprising: a grammar formation module to form the new grammar, comprising: a result module to determine the results of the speech recognition performed by each of the secondary recognizers; and a result selection module to identify an n number of most likely search results from the results of each secondary recognizer. | 0.5 |
1. A device, comprising: one or more processors to: determine use case information associated with a use case for a development project; determine a set of use case objects associated with the use case based on the use case information; select an abstract machine model, the abstract machine model being associated with modeling the development project based on the set of use case objects, the abstract machine model being selected from a set of abstract machine models associated with other modeling development projects based on the use case information, associated with the use case for the development project, and other use case information associated with the other modeling development projects; generate program code for the development project based on the abstract machine model and the use case information; and provide information associated with the generated program code. | 1. A device, comprising: one or more processors to: determine use case information associated with a use case for a development project; determine a set of use case objects associated with the use case based on the use case information; select an abstract machine model, the abstract machine model being associated with modeling the development project based on the set of use case objects, the abstract machine model being selected from a set of abstract machine models associated with other modeling development projects based on the use case information, associated with the use case for the development project, and other use case information associated with the other modeling development projects; generate program code for the development project based on the abstract machine model and the use case information; and provide information associated with the generated program code. 3. The device of claim 1 , where the one or more processors are further to: create a graphical representation of the use case illustrating the set of use case objects based on the abstract machine model; and where the one or more processors, when providing information associated with the generated program code, are further to: provide information associated with the graphical representation of the use case. | 0.747034 |
13. The computer program process code of claim 11 further comprising generating an artist graph, the artist graph comprising a plurality of artist nodes, each artist node representing an artist, at least a subset of the artist nodes comprising metadata about the artist represented by the artist node, at least a subset of the artist nodes further comprising at least one edge, each edge comprising a weight. | 13. The computer program process code of claim 11 further comprising generating an artist graph, the artist graph comprising a plurality of artist nodes, each artist node representing an artist, at least a subset of the artist nodes comprising metadata about the artist represented by the artist node, at least a subset of the artist nodes further comprising at least one edge, each edge comprising a weight. 14. The computer program access code of claim 13 further comprising: filtering the edges associated with the input node based upon criteria selected by the listener and metadata associated with each input node; selecting the next song node by performing a weighted random walk along the artist graph if filtering the edges associated with the input node eliminates all of the edges associated with the input node or if no edges are associated with the input node; and, selecting as the next song the song associated with the next song node. | 0.700964 |
17. The method of claim 2 wherein if there is insufficient user's history, the most popular sales data is given the highest weight. | 17. The method of claim 2 wherein if there is insufficient user's history, the most popular sales data is given the highest weight. 19. The method of claim 17 wherein the most popular sales data comprises purchases made by similar users and said purchases made by similar users is given the highest weight. | 0.923045 |
6. The method of claim 2 , wherein evaluating the at least one voice interaction includes evaluating a plurality of panels. | 6. The method of claim 2 , wherein evaluating the at least one voice interaction includes evaluating a plurality of panels. 7. The method of claim 6 , further comprising assigning a respective score to each one of the panels. | 0.970554 |
11. The method of claim 10 , wherein said comment is anonymous to said teacher client in accordance with said rating. | 11. The method of claim 10 , wherein said comment is anonymous to said teacher client in accordance with said rating. 12. The method of claim 11 , wherein said comment is not anonymous to said teacher client when said rating is negative. | 0.980065 |
15. A query processing method, implemented at least in part via a processing unit, for modifying search queries comprising: receiving a query from a user; and attaching one or more query augmentation terms to the query based on an intent associated with one or more terms comprised in the query, the intent determined based at least in part on: one or more past queries; one or more user experiences related to one or more associated non-temporal contractual obligations; an origin of the query; and at least one of an algorithmic intent determination or a list-match intent determination, the list-match intent determination based upon a dictionary comprising two or more entries, respective entries of the dictionary comprising: at least one of a word or a phrase; a category; and a probability of at least one of the word or the phrase corresponding to the category; parsing the query comprising the one or more attached query augmentation terms; deriving at least one keyword term from the parsed query; assigning respective weight values and confidence levels to one or more keyword terms derived from the parsed query; and availing the parsed query to a search engine such that search results are influenced by the respective weight values and confidence levels assigned to one or more keyword terms derived from the parsed query that comprised the one or more attached query augmentation terms attached based upon intent. | 15. A query processing method, implemented at least in part via a processing unit, for modifying search queries comprising: receiving a query from a user; and attaching one or more query augmentation terms to the query based on an intent associated with one or more terms comprised in the query, the intent determined based at least in part on: one or more past queries; one or more user experiences related to one or more associated non-temporal contractual obligations; an origin of the query; and at least one of an algorithmic intent determination or a list-match intent determination, the list-match intent determination based upon a dictionary comprising two or more entries, respective entries of the dictionary comprising: at least one of a word or a phrase; a category; and a probability of at least one of the word or the phrase corresponding to the category; parsing the query comprising the one or more attached query augmentation terms; deriving at least one keyword term from the parsed query; assigning respective weight values and confidence levels to one or more keyword terms derived from the parsed query; and availing the parsed query to a search engine such that search results are influenced by the respective weight values and confidence levels assigned to one or more keyword terms derived from the parsed query that comprised the one or more attached query augmentation terms attached based upon intent. 17. The method of claim 15 , the respective weight values and confidence levels used for ranking the search results and for federation, the federation comprising: evaluating, based at least in part on at least one of the algorithmic intent determination or the list-match intent determination, one or more search queries using two or more data sources in parallel; and determining whether to send at least one of the one or more evaluated search queries to at least one of an encyclopedic provider, a news provider, a travel provider, a document serving provider, or a phone directory provider. | 0.543602 |
69. A text-to-speech processing apparatus according to claim 49, wherein said processing unit maintains a pointer for pointing to text provided to said text-to-speech converter, and wherein said processing unit controls the position of said pointer in accordance with operator commands from said command means. | 69. A text-to-speech processing apparatus according to claim 49, wherein said processing unit maintains a pointer for pointing to text provided to said text-to-speech converter, and wherein said processing unit controls the position of said pointer in accordance with operator commands from said command means. 70. A text-to-speech processing apparatus according to claim 69, wherein said processing unit advances said pointer automatically and alters the position of said pointer in accordance with operator commands input from said command means. | 0.84388 |
28. A system that facilitates the generation of a meeting preparation document, comprising a processor and a computer memory having stored thereon the following components: means for receiving a request to generate the meeting preparation document from a user associated with an organizational chart; means for accessing at least one of a public data source and a private data source to retrieve relevant meeting information; means for arranging the relevant meeting information further comprising at least a plurality of prospective attendee profiles into a personalized format for the user wherein the attendee profiles for the meeting are arranged according to their decreasing organizational chart distance relative to the user wherein the organizational chart distance is a shortest path between the user and a meeting attendee within the organizational chart obtained by summing the user's organizational chart distance to a manager shared by the user and the meeting attendee; means for generating the meeting preparation document according to the personalized format. | 28. A system that facilitates the generation of a meeting preparation document, comprising a processor and a computer memory having stored thereon the following components: means for receiving a request to generate the meeting preparation document from a user associated with an organizational chart; means for accessing at least one of a public data source and a private data source to retrieve relevant meeting information; means for arranging the relevant meeting information further comprising at least a plurality of prospective attendee profiles into a personalized format for the user wherein the attendee profiles for the meeting are arranged according to their decreasing organizational chart distance relative to the user wherein the organizational chart distance is a shortest path between the user and a meeting attendee within the organizational chart obtained by summing the user's organizational chart distance to a manager shared by the user and the meeting attendee; means for generating the meeting preparation document according to the personalized format. 33. The system of claim 28 , further comprising means for automatically generating the meeting preparation document in response to a trigger. | 0.533579 |
9. The method of claim 1 , wherein each of the metadata structures represents at least one of a type, a property of a type and a relationship. | 9. The method of claim 1 , wherein each of the metadata structures represents at least one of a type, a property of a type and a relationship. 10. The method of claim 9 , wherein at least one of the type, type property and relationship changes during runtime. | 0.973971 |
1. Non-transitory computer storage having stored thereon executable code that directs a computing system to detect and correct a writing problem in text by a process that comprises: searching a sentence of the text for at least one sign that indicates the possible occurrence or absence of a writing problem, the at least one sign comprising the word “what” and one or more of a verb unit and a “to be” verb; in response to determining that the word “what” is present, determining if one or more of a verb unit and a “to be” verb is present in the sentence; and selecting a proposed edit to suggest to a user, the proposed edit comprising deleting at least the word “what”. | 1. Non-transitory computer storage having stored thereon executable code that directs a computing system to detect and correct a writing problem in text by a process that comprises: searching a sentence of the text for at least one sign that indicates the possible occurrence or absence of a writing problem, the at least one sign comprising the word “what” and one or more of a verb unit and a “to be” verb; in response to determining that the word “what” is present, determining if one or more of a verb unit and a “to be” verb is present in the sentence; and selecting a proposed edit to suggest to a user, the proposed edit comprising deleting at least the word “what”. 3. The non-transitory computer storage of claim 1 , wherein the process comprises responding to a determination that the sentence includes the word “what” followed by a verb unit followed by a “to be” verb followed by the word “that” by selecting a proposed edit that comprises deleting the word “what,” the verb unit, the “to be” verb, and the word “that”. | 0.564772 |
1. A computing device, comprising: a memory; a touch-sensitive display screen; and one or more processors coupled to the memory and the touch-sensitive display screen, the one or more processors configured to: display a first panel of a split keyboard in a first region of the touch-sensitive display screen, the first region of the touch-sensitive display screen being positioned along a first side of the touch-sensitive display screen, wherein the first panel includes a plurality of character keys from a first side of a respective keyboard; display a second panel of the split keyboard in a second region of the touch-sensitive display screen, the second region of the touch-sensitive display screen being positioned along a second side of the touch-sensitive display screen different from the first side, wherein the second panel includes a plurality of character keys from a second side of the respective keyboard; receive, via the first panel of the split keyboard and the second panel of the split keyboard, character input; and display a vertical candidate bar adjacent to the first panel of the split keyboard, between the first panel of the split keyboard and an edge of the touch-sensitive display screen on the first side of the touch-sensitive display screen, the vertical candidate bar having a single column of one or more candidates determined based on the character input. | 1. A computing device, comprising: a memory; a touch-sensitive display screen; and one or more processors coupled to the memory and the touch-sensitive display screen, the one or more processors configured to: display a first panel of a split keyboard in a first region of the touch-sensitive display screen, the first region of the touch-sensitive display screen being positioned along a first side of the touch-sensitive display screen, wherein the first panel includes a plurality of character keys from a first side of a respective keyboard; display a second panel of the split keyboard in a second region of the touch-sensitive display screen, the second region of the touch-sensitive display screen being positioned along a second side of the touch-sensitive display screen different from the first side, wherein the second panel includes a plurality of character keys from a second side of the respective keyboard; receive, via the first panel of the split keyboard and the second panel of the split keyboard, character input; and display a vertical candidate bar adjacent to the first panel of the split keyboard, between the first panel of the split keyboard and an edge of the touch-sensitive display screen on the first side of the touch-sensitive display screen, the vertical candidate bar having a single column of one or more candidates determined based on the character input. 4. The computing device of claim 1 , wherein the character input is received in a first alphabet and corresponds to a linguistic expression having at least two corresponding spellings in a second alphabet different from the first alphabet, and wherein the one or more processors are further configured to: display a first spelling of the at least two corresponding spellings of the linguistic expression as including a series of vertically arranged characters. | 0.626183 |
4. The method of claim 1 comprising: performing a runtime search on the searchable objects during said updating the search index. | 4. The method of claim 1 comprising: performing a runtime search on the searchable objects during said updating the search index. 5. The method of claim 4 comprising: performing said modifying the set of searchable fields without modifying the sets of fields available from the searchable objects; and searching the set of searchable fields based at least in part on the search index. | 0.943559 |
4. The method of claim 1 , wherein the portion of the canonical document is an image segment of the canonical document. | 4. The method of claim 1 , wherein the portion of the canonical document is an image segment of the canonical document. 5. The method of claim 4 , wherein the image segment presented visually matches text and non-text elements of the visual query. | 0.968048 |
19. The media of claim 16 , further comprising replacing the web advertisement in the second UI display with a second web advertisement after a user selects an option for viewing the additional information. | 19. The media of claim 16 , further comprising replacing the web advertisement in the second UI display with a second web advertisement after a user selects an option for viewing the additional information. 20. The media of claim 19 , wherein the option comprises selecting an icon for at least one member of a group comprising: audio related to the portion of text and the entity; and video related to the portion of text and the entity. | 0.903494 |
1. A computer-implemented method, comprising: analyzing a plurality of pages of a multi-page document to identify quantity and type of rich content in each one of the plurality of pages; assigning a score to each one of the plurality of pages in the multi-page document, wherein the score for a respective one of the plurality of pages is dependent on the quantity of rich content items on the respective one of the plurality of pages and the type of each rich content item on the respective one of the plurality of pages, wherein said assigning comprises scoring each page based on the quantity and type of rich content items within that page; identifying a page of the plurality of pages with the highest score; and designating the page with the highest score to be displayed as a thumbnail of the multi-page document, wherein the thumbnail is a single visual representation for the multi-page document. | 1. A computer-implemented method, comprising: analyzing a plurality of pages of a multi-page document to identify quantity and type of rich content in each one of the plurality of pages; assigning a score to each one of the plurality of pages in the multi-page document, wherein the score for a respective one of the plurality of pages is dependent on the quantity of rich content items on the respective one of the plurality of pages and the type of each rich content item on the respective one of the plurality of pages, wherein said assigning comprises scoring each page based on the quantity and type of rich content items within that page; identifying a page of the plurality of pages with the highest score; and designating the page with the highest score to be displayed as a thumbnail of the multi-page document, wherein the thumbnail is a single visual representation for the multi-page document. 6. The method of claim 1 , wherein said analyzing comprises counting a number of occurrences of rich content on each of the plurality of pages. | 0.82439 |
15. A server comprising: a network interface configured for detecting an instant message having been sent by a sending party for delivery to a destination party, the instant message expressed in a first language; and a presence resource configured for determining a language preference for the destination party to receive the instant message and independent of whether any translation request has been requested by the sending party, the presence resource further configured for selectively clearing a cache storing translation results of prior transmitted instant messages having been sent by the sending party based on the presence resource determining the translation results of the prior transmitted instant messages are no longer viable for context-based translation of the instant message, the presence resource further configured for invoking a translation resource for translation of the instant message into a translated instant message, expressed in a second language, based on the presence resource having determined the language preference for the destination party is distinct from the first language, wherein the instant message follows a sequence of the prior transmitted instant messages having been sent by the sending party and having been translated and sent to the destination party in the second language, the translation resource translating the instant message relative to a context of the sequence of prior transmitted instant messages based on retrieval from the cache of the translation results of the prior transmitted instant messages determined as viable to the context-based translation of the instant message, and the translation resource initiating the context-based translation of the instant message relative to the translation results; the network interface configured for outputting the translated instant message in the second language to the destination party. | 15. A server comprising: a network interface configured for detecting an instant message having been sent by a sending party for delivery to a destination party, the instant message expressed in a first language; and a presence resource configured for determining a language preference for the destination party to receive the instant message and independent of whether any translation request has been requested by the sending party, the presence resource further configured for selectively clearing a cache storing translation results of prior transmitted instant messages having been sent by the sending party based on the presence resource determining the translation results of the prior transmitted instant messages are no longer viable for context-based translation of the instant message, the presence resource further configured for invoking a translation resource for translation of the instant message into a translated instant message, expressed in a second language, based on the presence resource having determined the language preference for the destination party is distinct from the first language, wherein the instant message follows a sequence of the prior transmitted instant messages having been sent by the sending party and having been translated and sent to the destination party in the second language, the translation resource translating the instant message relative to a context of the sequence of prior transmitted instant messages based on retrieval from the cache of the translation results of the prior transmitted instant messages determined as viable to the context-based translation of the instant message, and the translation resource initiating the context-based translation of the instant message relative to the translation results; the network interface configured for outputting the translated instant message in the second language to the destination party. 21. The server of claim 15 , wherein the presence resource is configured for sending a notification to the sending party recommending use of a third language, distinct from the first language, for messages destined to the destination party, based on identifying the third language as usable by the sending party and the receiving party. | 0.54531 |
7. At least one computer readable medium containing a computer program product for automatically determining document relevance, the computer program product comprising program code that, when executed by a computer, causes the computer to perform operations comprising: representing a plurality of terms as a tree data structure comprising internal nodes and leaf nodes interconnected by respective node connections; assigning to each of the leaf nodes of the tree data structure a respective one of the terms; assigning to at least one of the leaf nodes a respective location specifying a designated location for the term assigned to the leaf node to appear within a document; assigning a respective operator to each of the internal nodes of the tree data structure; assigning a respective weight to each node connections in the tree data structure; and calculating a respective relevance value for at least one document as a function of occurrence in the at least one document of the terms respectively assigned to the leaf nodes of the tree data structure, the operators assigned to parent internal nodes of the corresponding leaf nodes, and the weights assigned to the associated node connections and, for each of the leaf nodes assigned a respective location, occurrence of the term assigned to the leaf node at the location in the at least one document specified by the respective location assigned to the leaf node. | 7. At least one computer readable medium containing a computer program product for automatically determining document relevance, the computer program product comprising program code that, when executed by a computer, causes the computer to perform operations comprising: representing a plurality of terms as a tree data structure comprising internal nodes and leaf nodes interconnected by respective node connections; assigning to each of the leaf nodes of the tree data structure a respective one of the terms; assigning to at least one of the leaf nodes a respective location specifying a designated location for the term assigned to the leaf node to appear within a document; assigning a respective operator to each of the internal nodes of the tree data structure; assigning a respective weight to each node connections in the tree data structure; and calculating a respective relevance value for at least one document as a function of occurrence in the at least one document of the terms respectively assigned to the leaf nodes of the tree data structure, the operators assigned to parent internal nodes of the corresponding leaf nodes, and the weights assigned to the associated node connections and, for each of the leaf nodes assigned a respective location, occurrence of the term assigned to the leaf node at the location in the at least one document specified by the respective location assigned to the leaf node. 10. The computer program product of claim 7 further comprising: program code for calculating a relevance value for at least one document for the terms assigned to leaf nodes of the tree structure; and program code for presenting to a user as results of a search query at least one document resulting from the search query meeting a given relevance threshold value. | 0.5 |
15. A non-transitory computer readable medium defining a first location in a network and comprising code, wherein the code, when executed by at least one computing processor of a computing apparatus, causes the at least one computing processor to perform the operations of: establishing, using computing instructions comprised in the at least one memory, a web browsing session with the network; selecting, using a traffic routing software unit comprised in the at least one computing processor, a secure web container through which web content is to be accessed during the web browsing session, wherein the network comprises two or more secure web containers, and wherein a first secure web container, of the two or more secure web containers, is located in a first secure web container location of the network and a second secure web container, of the two or more secure web containers, is located in a second secure web container location of the network; selecting, using the traffic routing software unit, an egress node through which the web content is to be routed during the web browsing session, wherein the network comprises two or more egress nodes, and wherein a first egress node, of the two or more egress nodes, is located in a first egress node location of the network and a second egress node, of the two or more egress nodes, is located in a second egress node location of the network; and providing, via a communication connection between at least one of the two or more secure web containers and a user device defining a second location in the network, a user of the user device with secure access to the web content, wherein the web content is rendered or accessed at the secure web container, and wherein providing the user of the user device with the secure access to the web content comprises manipulating, at the secure web container, one or more elements of a browser fingerprint presented to or accessed by a web server associated with the web content such that a characteristic of the user device comprised in the manipulated browser fingerprint and a third location presented to or accessed by the web server is different from an actual characteristic of the user device and the second location, respectively. | 15. A non-transitory computer readable medium defining a first location in a network and comprising code, wherein the code, when executed by at least one computing processor of a computing apparatus, causes the at least one computing processor to perform the operations of: establishing, using computing instructions comprised in the at least one memory, a web browsing session with the network; selecting, using a traffic routing software unit comprised in the at least one computing processor, a secure web container through which web content is to be accessed during the web browsing session, wherein the network comprises two or more secure web containers, and wherein a first secure web container, of the two or more secure web containers, is located in a first secure web container location of the network and a second secure web container, of the two or more secure web containers, is located in a second secure web container location of the network; selecting, using the traffic routing software unit, an egress node through which the web content is to be routed during the web browsing session, wherein the network comprises two or more egress nodes, and wherein a first egress node, of the two or more egress nodes, is located in a first egress node location of the network and a second egress node, of the two or more egress nodes, is located in a second egress node location of the network; and providing, via a communication connection between at least one of the two or more secure web containers and a user device defining a second location in the network, a user of the user device with secure access to the web content, wherein the web content is rendered or accessed at the secure web container, and wherein providing the user of the user device with the secure access to the web content comprises manipulating, at the secure web container, one or more elements of a browser fingerprint presented to or accessed by a web server associated with the web content such that a characteristic of the user device comprised in the manipulated browser fingerprint and a third location presented to or accessed by the web server is different from an actual characteristic of the user device and the second location, respectively. 28. The non-transitory computer readable medium of claim 15 , wherein at least one of: the secure web container comprises, is, or is comprised in at least one of the first secure web container, the second secure web container, the user device, or the egress node; or the egress node comprises, is, or is comprised in at least one of the first egress node or the second egress node. | 0.564112 |
13. A non-transitory computer-readable medium storing thereon computer-readable instructions for causing a processor to perform the following steps: extracting text from a website; assigning a label to one or more of a plurality of segments of the text such that each of the one or more of the plurality of segments of the text is classified as temporal data in one of a plurality of classes of temporal data; and applying one or more rules to the one or more segments of the text that have been classified as temporal data to generate a structured representation of the temporal data; wherein the rules include one or more schematic rules, wherein each of the schematic rules pertains to one or more of the plurality of classes of temporal data and indicates a structure in which temporal data in the corresponding one or more of the plurality of classes is to be stored. | 13. A non-transitory computer-readable medium storing thereon computer-readable instructions for causing a processor to perform the following steps: extracting text from a website; assigning a label to one or more of a plurality of segments of the text such that each of the one or more of the plurality of segments of the text is classified as temporal data in one of a plurality of classes of temporal data; and applying one or more rules to the one or more segments of the text that have been classified as temporal data to generate a structured representation of the temporal data; wherein the rules include one or more schematic rules, wherein each of the schematic rules pertains to one or more of the plurality of classes of temporal data and indicates a structure in which temporal data in the corresponding one or more of the plurality of classes is to be stored. 15. The non-transitory computer-readable medium as recited in claim 13 , wherein the one or more schematic rules include at least one of a time-period rule pertaining to a time period or a time-stamp rule pertaining to a specific time. | 0.58368 |
12. A system for differential dynamic content delivery, the system comprising: a computer processing unit configured to provide a session document for a presentation, wherein the session document includes a session grammar and a session structured document, the session document further including a first classified structural element and a second classified structural element received from a presenter; computer memory configured to store a session copy of a first user profile including a first user classification associated with a first classified structural element; the computer memory further being configured to store a session copy of a second user profile including a second user classification associated with the first classified structural element; a user interface configured to receive, from the presenter, a user classification instruction to change the second user classification in the session copy of the second user profile; the user interface being configured to change the second user classification to an altered user classification in the session copy of the second user profile to associate the second user classification with a second classified structural element in dependence upon the presenter's instruction, wherein the first user classification remains associated with the first classified structural element; means for presenting the second classified structural element to the second user in response to the second user classification becoming associated with the second classified structural element; and means for presenting the first classified structural element to the first user in response to the first user classification remaining associated with the first classified structural element. | 12. A system for differential dynamic content delivery, the system comprising: a computer processing unit configured to provide a session document for a presentation, wherein the session document includes a session grammar and a session structured document, the session document further including a first classified structural element and a second classified structural element received from a presenter; computer memory configured to store a session copy of a first user profile including a first user classification associated with a first classified structural element; the computer memory further being configured to store a session copy of a second user profile including a second user classification associated with the first classified structural element; a user interface configured to receive, from the presenter, a user classification instruction to change the second user classification in the session copy of the second user profile; the user interface being configured to change the second user classification to an altered user classification in the session copy of the second user profile to associate the second user classification with a second classified structural element in dependence upon the presenter's instruction, wherein the first user classification remains associated with the first classified structural element; means for presenting the second classified structural element to the second user in response to the second user classification becoming associated with the second classified structural element; and means for presenting the first classified structural element to the first user in response to the first user classification remaining associated with the first classified structural element. 14. The system of claim 12 wherein the storing of the session copy of the second user profile including the second user classification further comprises copying at least a portion of the second user profile. | 0.673614 |
8. The method according to claim 1 , wherein the meta index is statistical data of one or any combination of a database, and a sub-database corresponding to the member engine, a document or a record contained in the database, a document or a record contained in the sub-database, and a term contained in the document or the record. | 8. The method according to claim 1 , wherein the meta index is statistical data of one or any combination of a database, and a sub-database corresponding to the member engine, a document or a record contained in the database, a document or a record contained in the sub-database, and a term contained in the document or the record. 10. The method according to claim 8 , wherein selecting the member engine according to the meta index of each member engine, the search request and the user interest model comprises: obtaining a first similarity of a first document in a certain database to a search request vector Q, wherein the first document satisfies a condition that the similarity of the first document to the search request vector Q is the highest; the search request vector Q=(q 1 , q 2 , . . . qi . . . qk), and qi is a weight of a term ti in the search request; obtaining a second similarity of a second document in the database to a user interest model R, wherein the second document satisfies a condition that the similarity of the second document to the user interest model vector R is the highest while a matching degree with a vector Q′ (q 1 ′, q 2 ′ . . . qm′) meets a specified threshold value, the vector Q′ is a conversion form of the search request vector Q specific to the user interest model vector R, the user interest model vector R=(r 1 , r 2 , . . . ri . . . , rn), and ri is a weight score of the i th dimension of the user interest model; selecting a higher value from the first similarity and the second similarity as a similarity of a combination of the search request and the user interest model to the database; repeating the above method, so as to obtain the similarity of the combination of the search request and the user interest model to each database, wherein each database is corresponding to a member engine; and ranking each database according to the similarity of the combination of the search request and the user interest model to each database, and selecting member engines corresponding to one or more databases having larger similarities ranked top. | 0.669726 |
10. A method for automatic speech recognition comprising: identifying at least one dialect of a standard form language in input data by distinguishing phones of the standard form language and the at least one dialect, the identifying further comprising generating a phone decoder for building an acoustic input training data set; analyzing the acoustic input data set to identify portions of the input data set that conform to a standard form language and to identify portions of the input data set that conform to at least one dialect of the standard form language; performing automatic speech recognition by applying, with at least one hardware processor, a standard form language model and at least one dialect language model to the input data set, the performing including dynamically selecting between the models in accordance with each of the identified portions; and outputting speech recognition results obtained in accordance with said applying. | 10. A method for automatic speech recognition comprising: identifying at least one dialect of a standard form language in input data by distinguishing phones of the standard form language and the at least one dialect, the identifying further comprising generating a phone decoder for building an acoustic input training data set; analyzing the acoustic input data set to identify portions of the input data set that conform to a standard form language and to identify portions of the input data set that conform to at least one dialect of the standard form language; performing automatic speech recognition by applying, with at least one hardware processor, a standard form language model and at least one dialect language model to the input data set, the performing including dynamically selecting between the models in accordance with each of the identified portions; and outputting speech recognition results obtained in accordance with said applying. 12. The method of claim 10 , wherein the analyzing comprises distinguishing phones of the standard form language and the at least one dialect. | 0.551584 |
4. The method of claim 3 , wherein said begin token and said end token are specified as a same text implying that said first construct of interest is a literal in said first grammar of said column based programming language, wherein said generating generates said string of characters to include said same text as said begin token and said end token. | 4. The method of claim 3 , wherein said begin token and said end token are specified as a same text implying that said first construct of interest is a literal in said first grammar of said column based programming language, wherein said generating generates said string of characters to include said same text as said begin token and said end token. 5. The method of claim 4 , further comprising: displaying, on said display unit, text constituting lines of said software code; receiving, from said user, a selection of a portion of said text displayed on said display unit and an indication that a rule is to be generated based on said selection and said type; and determining that said begin token is the first token in said selection and said end token is the last token in said selection, wherein said generating generates said first rule based on the first token, the last token and said type. | 0.883191 |
24. The computer program product of claim 22 , further comprising: an analysis module configured to identify a set of high-sentiment documents based on scoring sentiments expressed by one or more domain-specific documents; wherein the lexicon module is configured to create the domain-specific sentiment lexicon based at least in part on the set of high-sentiment documents. | 24. The computer program product of claim 22 , further comprising: an analysis module configured to identify a set of high-sentiment documents based on scoring sentiments expressed by one or more domain-specific documents; wherein the lexicon module is configured to create the domain-specific sentiment lexicon based at least in part on the set of high-sentiment documents. 25. The computer program product of claim 24 , wherein the lexicon module is further configured to: identify n-grams occurring within the documents in the set of high-sentiment documents; filter the identified n-grams to remove n-grams unlikely to express sentiment in the specified domain; and store the filtered n-grams as the domain-specific sentiment lexicon. | 0.830477 |
1. A method of computer vulnerability discovery comprising: determining a plurality of researcher computers that are to be provided access to control logic, wherein a researcher computer of the plurality of researcher computers is a computer operated by, or to be operated by, an invited researcher, wherein an invited researcher is a person or organization selected to participate in one or more computer vulnerability research projects directed to researching and/or identifying computer vulnerabilities of one or more target systems comprising one or more network component and/or one or more computer component, wherein the control logic is logically interposed between the researcher computer and the one or more target systems; providing the plurality of researcher computers with access credentials for a management computer associated with the control logic to allow access to the control logic by particular ones of the plurality of researcher computers; tracking assignment of a particular computer vulnerability research project of the one or more computer vulnerability research projects to the researcher computer or to the invited researcher, wherein the particular computer vulnerability research project relates to a particular target system; establishing a communications path between the control logic and the particular target system; monitoring, using the control logic, networked data communications between the researcher computer and the particular target system, wherein the networked data communications include communications that are usable to identify a candidate vulnerability of the particular target system; determining a candidate vulnerability of the particular target system based on a report received from the invited researcher resulting from the invited researcher's use of the researcher computer to interact with the particular target system via the control logic; validating the report of the candidate vulnerability of the particular target system, wherein validating comprises attempting duplication of the candidate vulnerability after receiving the report; and triggering one or more remediation operations on the particular target system based at least in part upon the report. | 1. A method of computer vulnerability discovery comprising: determining a plurality of researcher computers that are to be provided access to control logic, wherein a researcher computer of the plurality of researcher computers is a computer operated by, or to be operated by, an invited researcher, wherein an invited researcher is a person or organization selected to participate in one or more computer vulnerability research projects directed to researching and/or identifying computer vulnerabilities of one or more target systems comprising one or more network component and/or one or more computer component, wherein the control logic is logically interposed between the researcher computer and the one or more target systems; providing the plurality of researcher computers with access credentials for a management computer associated with the control logic to allow access to the control logic by particular ones of the plurality of researcher computers; tracking assignment of a particular computer vulnerability research project of the one or more computer vulnerability research projects to the researcher computer or to the invited researcher, wherein the particular computer vulnerability research project relates to a particular target system; establishing a communications path between the control logic and the particular target system; monitoring, using the control logic, networked data communications between the researcher computer and the particular target system, wherein the networked data communications include communications that are usable to identify a candidate vulnerability of the particular target system; determining a candidate vulnerability of the particular target system based on a report received from the invited researcher resulting from the invited researcher's use of the researcher computer to interact with the particular target system via the control logic; validating the report of the candidate vulnerability of the particular target system, wherein validating comprises attempting duplication of the candidate vulnerability after receiving the report; and triggering one or more remediation operations on the particular target system based at least in part upon the report. 22. The method of claim 1 , further comprising: storing flow records based upon packet flow identifiers; and storing packets, segments, messages or request-response pairs based upon 5-tuple identifying data. | 0.625331 |
1. A method for use with a system including a first document containing at least some information in common with a spoken audio stream, the method performed by at least one computer processor executing computer program instructions to perform steps of: (A) identifying text in the first document, wherein the text represents a concept; (B) identifying, based on the identified text and a repository of finite state grammars, a plurality of spoken forms of the concept, including at least one spoken form not contained in the first document, wherein all of the plurality of spoken forms have the same content as each other; (C) replacing the identified text with a finite state grammar specifying the plurality of spoken forms of the concept to produce a second document; (D) generating a document-specific language model based on the second document, comprising generating at least some of the document-specific language model based on the finite state grammar; (E) using the document-specific language model in a speech recognition process to recognize the spoken audio stream and thereby to produce a third document; (F) filtering text from the third document by reference to the second document to produce a filtered document in which text filtered from the third document is marked as unreliable; and (G) using the filtered document and the spoken audio stream to train an acoustic model by performing steps of: (G)(1) applying a first speech recognition process to the spoken audio stream using a set of base acoustic models and a grammar network based on the filtered document to produce a first set of recognition structures; (G)(2) applying a second speech recognition process to the spoken audio stream using the set of base acoustic models and a second language model to produce a second set of recognition structures; and (G)(3) performing discriminative training of the acoustic model using the first set of recognition structures, the second set of recognition structures, the filtered document, and only those portions of the spoken audio stream corresponding to text not marked as unreliable in the filtered document. | 1. A method for use with a system including a first document containing at least some information in common with a spoken audio stream, the method performed by at least one computer processor executing computer program instructions to perform steps of: (A) identifying text in the first document, wherein the text represents a concept; (B) identifying, based on the identified text and a repository of finite state grammars, a plurality of spoken forms of the concept, including at least one spoken form not contained in the first document, wherein all of the plurality of spoken forms have the same content as each other; (C) replacing the identified text with a finite state grammar specifying the plurality of spoken forms of the concept to produce a second document; (D) generating a document-specific language model based on the second document, comprising generating at least some of the document-specific language model based on the finite state grammar; (E) using the document-specific language model in a speech recognition process to recognize the spoken audio stream and thereby to produce a third document; (F) filtering text from the third document by reference to the second document to produce a filtered document in which text filtered from the third document is marked as unreliable; and (G) using the filtered document and the spoken audio stream to train an acoustic model by performing steps of: (G)(1) applying a first speech recognition process to the spoken audio stream using a set of base acoustic models and a grammar network based on the filtered document to produce a first set of recognition structures; (G)(2) applying a second speech recognition process to the spoken audio stream using the set of base acoustic models and a second language model to produce a second set of recognition structures; and (G)(3) performing discriminative training of the acoustic model using the first set of recognition structures, the second set of recognition structures, the filtered document, and only those portions of the spoken audio stream corresponding to text not marked as unreliable in the filtered document. 2. The method of claim 1 , wherein (G) further comprises a step of: (G)(4) prior to (G)(1), training the set of base acoustic models using the spoken audio stream and the filtered document. | 0.544231 |
6. The method of claim 1 , where providing an expanded text excerpt includes: presenting the expanded text excerpt within an overlay. | 6. The method of claim 1 , where providing an expanded text excerpt includes: presenting the expanded text excerpt within an overlay. 8. The method of claim 6 , where presenting the expanded text excerpt within an overlay includes: presenting an option for accessing the entire specified search result document from within the overlay, and where the method further comprises: receiving selection of the option for accessing the entire specified search result document; and providing, in response to the selection, the entire specified search result document for display. | 0.902169 |
1. A method comprising: collecting a plurality of task-oriented, human-human dialog interactions between users and human agents for a given domain; after collecting the plurality of task-oriented, human-human dialog interactions, extracting, via a processor, a respective dialog structure associated with each of the plurality of task-oriented, human-human dialog interactions, wherein extracting the respective dialog structure comprises: identifying a respective task in each of the plurality of task-oriented, human-human dialog interactions; identifying subtasks in the respective task and associating relations between the subtasks, wherein the identifying of the subtask is done using a chunk model equation PT*=argmax Σ ST P(ST|U)P(PT|ST), where PT* is the most likely plan tree, ST is each subtask in a sequence of utterances U, PT represents likelihood of each plan tree, and P represents the individual probabilities within the chunk model equation, where the chunk model equation uses the respective dialog structures U and ST as a weighted lattice; and identifying a dialog act and a set of predicate-argument relations for the subtasks by annotating user utterances in the plurality of task-oriented, human-human dialog interactions with tags; generating a clause from the set of predicate-argument relations; removing speech repairs and dysfluencies from a respective user utterance in each of the plurality of task-oriented, human-human dialog interactions; and storing the respective task, the subtasks, the dialog act, the set of predicate-argument relations, the clause, inter-clausal relations within the clause, and a set of dominance and precedence relations associated with the respective task as a dialog interaction set represented as a single tree. | 1. A method comprising: collecting a plurality of task-oriented, human-human dialog interactions between users and human agents for a given domain; after collecting the plurality of task-oriented, human-human dialog interactions, extracting, via a processor, a respective dialog structure associated with each of the plurality of task-oriented, human-human dialog interactions, wherein extracting the respective dialog structure comprises: identifying a respective task in each of the plurality of task-oriented, human-human dialog interactions; identifying subtasks in the respective task and associating relations between the subtasks, wherein the identifying of the subtask is done using a chunk model equation PT*=argmax Σ ST P(ST|U)P(PT|ST), where PT* is the most likely plan tree, ST is each subtask in a sequence of utterances U, PT represents likelihood of each plan tree, and P represents the individual probabilities within the chunk model equation, where the chunk model equation uses the respective dialog structures U and ST as a weighted lattice; and identifying a dialog act and a set of predicate-argument relations for the subtasks by annotating user utterances in the plurality of task-oriented, human-human dialog interactions with tags; generating a clause from the set of predicate-argument relations; removing speech repairs and dysfluencies from a respective user utterance in each of the plurality of task-oriented, human-human dialog interactions; and storing the respective task, the subtasks, the dialog act, the set of predicate-argument relations, the clause, inter-clausal relations within the clause, and a set of dominance and precedence relations associated with the respective task as a dialog interaction set represented as a single tree. 2. The method of claim 1 , further comprising: identifying named entities for each subtask; identifying labels for the named entities; and storing the labels in the dialog interaction set. | 0.803534 |
12. The method for rendering anomaly events based on multi-modal data according to claim 9 , wherein the plurality of sources of multi-modal data includes a ultra-wide band transceiver. | 12. The method for rendering anomaly events based on multi-modal data according to claim 9 , wherein the plurality of sources of multi-modal data includes a ultra-wide band transceiver. 15. The method for rendering anomaly events based on multi-modal data according to claim 12 , wherein change analysis includes acoustical change analysis. | 0.950361 |
22. The method of claim 21 , wherein the exception criteria includes a minimum information exception defining whether the digital image contains a minimum amount of transactional information. | 22. The method of claim 21 , wherein the exception criteria includes a minimum information exception defining whether the digital image contains a minimum amount of transactional information. 23. The method of claim 22 , wherein the processing of the digital data is performed on the wireless computing device without having to wait for information from the server during said processing. | 0.945758 |
19. A method of protecting information in search queries using a search apparatus with a user interface that is configured for connection to a computer network, said network comprising a plurality of search engines on a plurality of servers, said method comprising: receiving a search query comprising a plurality of keywords; dividing the search query into a number of sub-queries, each sub-query comprising at least one of said keywords but less than all of said keywords; comparing each sub-query to an inhibited combinations list that includes a number of keywords from the search query; excluding sub-queries that are identified as inhibited combinations; submitting remaining sub-queries to different search engines such that each search engine receives less than all of said plurality of keywords such that private information from the search query is less discernible at any one of said search engines than if that search engine received more of said plurality of keywords of said search query; and generating an integrated search results based on a rank of hits included in individual search results returned from the different search engines in response to the submission of said sub-queries, in which hits that share rank are sorted based on a number of priority rules; and searching the integrated search results. | 19. A method of protecting information in search queries using a search apparatus with a user interface that is configured for connection to a computer network, said network comprising a plurality of search engines on a plurality of servers, said method comprising: receiving a search query comprising a plurality of keywords; dividing the search query into a number of sub-queries, each sub-query comprising at least one of said keywords but less than all of said keywords; comparing each sub-query to an inhibited combinations list that includes a number of keywords from the search query; excluding sub-queries that are identified as inhibited combinations; submitting remaining sub-queries to different search engines such that each search engine receives less than all of said plurality of keywords such that private information from the search query is less discernible at any one of said search engines than if that search engine received more of said plurality of keywords of said search query; and generating an integrated search results based on a rank of hits included in individual search results returned from the different search engines in response to the submission of said sub-queries, in which hits that share rank are sorted based on a number of priority rules; and searching the integrated search results. 20. The method of claim 19 , further comprising accepting user input that identifies at least one keyword or combination of said keywords that is not to be used as a sub-query. | 0.721926 |
17. A computer program product comprising a computer-readable hardware storage medium having program code embodied therewith, the program code being executable by a computer to implement a method comprising: answering one or more incoming phone calls received at one or more pre-specified phone numbers utilizing a bot, wherein the bot is configured to engage in a conversation with a caller who initiates an incoming phone call by utilizing a voice recording that impersonates an individual belonging to a type of demographic targeted by the caller and dynamically conversing with the caller based on a conversation template including one or more learned conversation patterns corresponding to the individual belonging to the type of demographic targeted by the caller; recording each conversation the bot engages in; and collecting training data for training a system in detecting unwanted phone solicitations, wherein the collecting comprises classifying each recorded conversation as one of poison data or truthful training data based on content of the recorded conversation and one or more learned detection models for detecting poisoned data, and the training data each comprises each recorded conversation classified as truthful training data. | 17. A computer program product comprising a computer-readable hardware storage medium having program code embodied therewith, the program code being executable by a computer to implement a method comprising: answering one or more incoming phone calls received at one or more pre-specified phone numbers utilizing a bot, wherein the bot is configured to engage in a conversation with a caller who initiates an incoming phone call by utilizing a voice recording that impersonates an individual belonging to a type of demographic targeted by the caller and dynamically conversing with the caller based on a conversation template including one or more learned conversation patterns corresponding to the individual belonging to the type of demographic targeted by the caller; recording each conversation the bot engages in; and collecting training data for training a system in detecting unwanted phone solicitations, wherein the collecting comprises classifying each recorded conversation as one of poison data or truthful training data based on content of the recorded conversation and one or more learned detection models for detecting poisoned data, and the training data each comprises each recorded conversation classified as truthful training data. 19. The computer program product of claim 17 , wherein the bot is configured to select the voice recording and the conversation template from different voice recordings and different conversation templates corresponding to different individuals belonging to different types of demographic. | 0.512346 |
1. A method by which a first computer system automatically converts a document to an interactive reference that can be interpreted by and displayed on a second computer system having a display screen sensitive to a pointer, a processor in communication with the display screen, and a memory in communication with the processor such that at least portions of the interactive reference residing in the memory can be retrieved by interaction of the pointer with the display screen, the method comprising the following steps: separating the document into content blocks delineated by content commands within the document, some content blocks containing templates for live interaction between the pointer and the display screen and other content blocks containing text or a picture; creating page descriptions in which the content blocks are arranged on pages whose boundaries are defined by the display screen of the second computer; preparing instructions for treating pointer actions on templates displayed on the display screen; and outputting commands describing the interactive reference, the commands having a format, at least when compiled, that can be stored in the memory of the second computer system and interpreted by the processor of the second computer system. | 1. A method by which a first computer system automatically converts a document to an interactive reference that can be interpreted by and displayed on a second computer system having a display screen sensitive to a pointer, a processor in communication with the display screen, and a memory in communication with the processor such that at least portions of the interactive reference residing in the memory can be retrieved by interaction of the pointer with the display screen, the method comprising the following steps: separating the document into content blocks delineated by content commands within the document, some content blocks containing templates for live interaction between the pointer and the display screen and other content blocks containing text or a picture; creating page descriptions in which the content blocks are arranged on pages whose boundaries are defined by the display screen of the second computer; preparing instructions for treating pointer actions on templates displayed on the display screen; and outputting commands describing the interactive reference, the commands having a format, at least when compiled, that can be stored in the memory of the second computer system and interpreted by the processor of the second computer system. 2. The method of claim 1 wherein the templates describe interactive dialog boxes which can be displayed on the display screen of the second computer system, the dialog boxes having one or more icons which when selected with the pointer initiate a live action in the interactive reference. | 0.71465 |
31. A media distribution system of the type useable to send e-mail from a producer station to multiple remote receiving stations, the system comprising in combination: a producer station for assembling and simultaneously transmitting to multiple receiving stations a predetermined envelope of aggregate data, the predetermined envelope of aggregate data including a plurality of media files preselected from the group consisting of one or more audio or video files and a text or graphic file, the envelope of aggregate data further including a mark-up language document having at least one tag associated with at least one of such audio or video files among the plurality of media files; a receiving station receiving the envelope, the receiving station locally storing the media files in a respective local storage medium, the receiving station including means for accessing the mark-up language document and thereby accessing a selective one of the plurality of media files via the tag. | 31. A media distribution system of the type useable to send e-mail from a producer station to multiple remote receiving stations, the system comprising in combination: a producer station for assembling and simultaneously transmitting to multiple receiving stations a predetermined envelope of aggregate data, the predetermined envelope of aggregate data including a plurality of media files preselected from the group consisting of one or more audio or video files and a text or graphic file, the envelope of aggregate data further including a mark-up language document having at least one tag associated with at least one of such audio or video files among the plurality of media files; a receiving station receiving the envelope, the receiving station locally storing the media files in a respective local storage medium, the receiving station including means for accessing the mark-up language document and thereby accessing a selective one of the plurality of media files via the tag. 38. A media distribution system as claimed in claim 31 wherein the mark-up language document includes, or includes a tag to, a company logo or source identifying indicia. | 0.720158 |
16. A method of supporting text entry on a personal computing device by using automated searching to search for completion candidates which are based on a partial text entry received from a user, the method comprising: (a) receiving a user input signal caused by user input associated with a digital keyboard displayed in a graphical user interface, the user input signal corresponding to activating the automated searching; (b) in response to receiving the user input signal, obtaining a list of completion candidates and causing the list of completion candidates to be displayed in a search list in the graphical user interface while the digital keyboard is not displayed in the graphical user interface; (c) receiving a further user input signal; (d) if the further user input signal corresponds to declining all of the completion candidates displayed in the search list, causing the digital keyboard to be redisplayed in the graphical user interface; (e) if the further user input signal indicates selection, for less than a predetermined time limit, of the completion candidate from among the completion candidates in the search list, accepting the completion candidate from among the completion candidates in the search list to replace the partial text entry and terminating the automated searching, accepting the completion candidate from among the completion candidates in the search list to replace the partial text entry and terminating the automated searching; and (f) if the further user input signal does not indicate selection, for less than the predetermined time limit, of the completion candidate from among the completion candidates in the search list, not accepting the completion candidate from among the completion candidates in the search list to replace the partial text entry. | 16. A method of supporting text entry on a personal computing device by using automated searching to search for completion candidates which are based on a partial text entry received from a user, the method comprising: (a) receiving a user input signal caused by user input associated with a digital keyboard displayed in a graphical user interface, the user input signal corresponding to activating the automated searching; (b) in response to receiving the user input signal, obtaining a list of completion candidates and causing the list of completion candidates to be displayed in a search list in the graphical user interface while the digital keyboard is not displayed in the graphical user interface; (c) receiving a further user input signal; (d) if the further user input signal corresponds to declining all of the completion candidates displayed in the search list, causing the digital keyboard to be redisplayed in the graphical user interface; (e) if the further user input signal indicates selection, for less than a predetermined time limit, of the completion candidate from among the completion candidates in the search list, accepting the completion candidate from among the completion candidates in the search list to replace the partial text entry and terminating the automated searching, accepting the completion candidate from among the completion candidates in the search list to replace the partial text entry and terminating the automated searching; and (f) if the further user input signal does not indicate selection, for less than the predetermined time limit, of the completion candidate from among the completion candidates in the search list, not accepting the completion candidate from among the completion candidates in the search list to replace the partial text entry. 18. The method of claim 16 , wherein the user input signal received corresponds to activating the automated searching in response to selection by the user of a particular key from a plurality of keys, and wherein the particular key identifies the first character of the partial text entry. | 0.5 |
3. The method of claim 1 , where the items of news content are retrieved from a plurality of news source servers and aggregated via a news aggregation service in the memory. | 3. The method of claim 1 , where the items of news content are retrieved from a plurality of news source servers and aggregated via a news aggregation service in the memory. 4. The method of claim 3 , where the customized news document is hosted at a news aggregation server that further hosts the news aggregation service. | 0.956815 |
19. A system for notating musical note information comprising: a plurality of sets wherein each set comprises twelve notes corresponding to musical pitch levels; an alphanumeric symbol that is assigned to each of the twelve notes, wherein the alphanumeric symbol represents a musical pitch level; wherein each of the alphanumeric symbols correspond with a structure, key or position of a musical instrument within a given set; a vertical music staff on a sheet medium, the staff providing columnar marking spaces or blocks, the columns of marking spaces or blocks delineated by vertical and horizontal lines, to create marking areas provided in the vertical staff for marking musical notes; a plurality of columnar musical staffs per sheet medium, where notation proceeds from the top of the left most staff from the top to the bottom and continues at the bottom of second left most staff from the bottom to the top, proceeding to the right most column in an up then down pattern; and marked sequences of the assigned musical values in the columnar marking space per finger, according to which finger is to play which musical structure, key, or position according to a musical timing and sequence. | 19. A system for notating musical note information comprising: a plurality of sets wherein each set comprises twelve notes corresponding to musical pitch levels; an alphanumeric symbol that is assigned to each of the twelve notes, wherein the alphanumeric symbol represents a musical pitch level; wherein each of the alphanumeric symbols correspond with a structure, key or position of a musical instrument within a given set; a vertical music staff on a sheet medium, the staff providing columnar marking spaces or blocks, the columns of marking spaces or blocks delineated by vertical and horizontal lines, to create marking areas provided in the vertical staff for marking musical notes; a plurality of columnar musical staffs per sheet medium, where notation proceeds from the top of the left most staff from the top to the bottom and continues at the bottom of second left most staff from the bottom to the top, proceeding to the right most column in an up then down pattern; and marked sequences of the assigned musical values in the columnar marking space per finger, according to which finger is to play which musical structure, key, or position according to a musical timing and sequence. 25. The system of claim 19 , wherein the twelve alphanumeric symbols are repeated in each of the plurality of sets of the instrument. | 0.902256 |
1. A method for providing mixed reality contents for learning through a story-based virtual experience, comprising: capturing a user image of a user within an actual environment; setting an action zone within a virtual world in which a 3D image of the virtual world having the story is synthesized with the user image and setting a corner coordinate of the action zone as a reference point for the action zone within the 3D image of the virtual world; tracking a user position from the user image and calculating the tracked user position as four rectangular corner coordinates; converting the four rectangular corner coordinates into a 3D coordinate; matching the 3D coordinate to the corner coordinate of the action zone; and displaying a synthesized image of the user and the virtual world that is based on matching the 3D coordinate to the corner coordinate of the action zone. | 1. A method for providing mixed reality contents for learning through a story-based virtual experience, comprising: capturing a user image of a user within an actual environment; setting an action zone within a virtual world in which a 3D image of the virtual world having the story is synthesized with the user image and setting a corner coordinate of the action zone as a reference point for the action zone within the 3D image of the virtual world; tracking a user position from the user image and calculating the tracked user position as four rectangular corner coordinates; converting the four rectangular corner coordinates into a 3D coordinate; matching the 3D coordinate to the corner coordinate of the action zone; and displaying a synthesized image of the user and the virtual world that is based on matching the 3D coordinate to the corner coordinate of the action zone. 6. The method of claim 1 further comprising: storing an image of the virtual world created by virtually modeling a real world according to the story; and storing the action zone in the image of the virtual world. | 0.819185 |
1. An apparatus for verifying an identity of at least one user to a text-based communication with at least a second user, comprising: a memory; and at least one hardware device, coupled to the memory, operative to: obtain a plurality of pair-wise characteristic features of at least one prior pair-wise text-based communication between said at least one user and said same second user; compare the plurality of obtained pair-wise characteristic features to corresponding pair-wise features of a current session of said pair-wise text-based communication between said at least one user and said same second user; and verify said identity of said at least one user based on a result of said comparison. | 1. An apparatus for verifying an identity of at least one user to a text-based communication with at least a second user, comprising: a memory; and at least one hardware device, coupled to the memory, operative to: obtain a plurality of pair-wise characteristic features of at least one prior pair-wise text-based communication between said at least one user and said same second user; compare the plurality of obtained pair-wise characteristic features to corresponding pair-wise features of a current session of said pair-wise text-based communication between said at least one user and said same second user; and verify said identity of said at least one user based on a result of said comparison. 12. The apparatus of claim 1 , wherein said at least one hardware device is further configured to generate a confidence score that is used to verify said identity. | 0.574505 |
3. The method of claim 1 , further comprising evaluating or causing to be evaluated, by a search result analyzer, the content item to recommend publication or re-write at least a portion of the content item, the evaluation being based at least in part on search results from searching the other content items through execution of the generated search expression having the hierarchy of nested juxtaposition sub-expressions. | 3. The method of claim 1 , further comprising evaluating or causing to be evaluated, by a search result analyzer, the content item to recommend publication or re-write at least a portion of the content item, the evaluation being based at least in part on search results from searching the other content items through execution of the generated search expression having the hierarchy of nested juxtaposition sub-expressions. 4. The computer-implemented method of claim 3 , wherein the content item is an unpublished content item, and the other content items are published content items, wherein evaluating further comprises evaluating based at least in part on search results from searching the other content items through execution of the generated search expression to predict effectiveness of the content item, if published. | 0.859277 |
8. A data processing system comprising: a processor; and an accessible memory, the data processing system particularly configured to: receive a Computer Aided Design (CAD) model including a plurality of entities; receive a user input including a selection of at least one entity and a movement of the selected entity; apply any basic condition behaviors that correspond to the user input; apply any optional condition behaviors that correspond to the user input; build a variational system to be solved based on the user input, any applied basic condition behaviors, and any optional condition behaviors; perform a variational solve on the variational system to produce an edited CAD model; and store the edited CAD model. | 8. A data processing system comprising: a processor; and an accessible memory, the data processing system particularly configured to: receive a Computer Aided Design (CAD) model including a plurality of entities; receive a user input including a selection of at least one entity and a movement of the selected entity; apply any basic condition behaviors that correspond to the user input; apply any optional condition behaviors that correspond to the user input; build a variational system to be solved based on the user input, any applied basic condition behaviors, and any optional condition behaviors; perform a variational solve on the variational system to produce an edited CAD model; and store the edited CAD model. 11. The data processing system of claim 8 , wherein building the variational system includes ordering and applying preferences. | 0.610526 |
1. A method, comprising: receiving, by a URL receiving engine, a URL comprising a plurality of segments; comparing each segment of the plurality of segments to known segment values; identifying, based on the comparison, searchable segments and one or more searchable categories for the searchable segments, independent of the order of the searchable segments within the URL; creating a search request object based on the searchable segments and the one or more searchable categories; determining a search pattern based on the search request object; performing an inventory search based on the search pattern to identify one or more inventory items; generating web page metadata items based on the search pattern; and generating a web page comprising the web page metadata items and the identified inventory items. | 1. A method, comprising: receiving, by a URL receiving engine, a URL comprising a plurality of segments; comparing each segment of the plurality of segments to known segment values; identifying, based on the comparison, searchable segments and one or more searchable categories for the searchable segments, independent of the order of the searchable segments within the URL; creating a search request object based on the searchable segments and the one or more searchable categories; determining a search pattern based on the search request object; performing an inventory search based on the search pattern to identify one or more inventory items; generating web page metadata items based on the search pattern; and generating a web page comprising the web page metadata items and the identified inventory items. 10. The method of claim 1 , further comprising outputting, for display, a graphical representation of the generated web page. | 0.839286 |
1. A computer implemented method comprising steps of: detecting a change to one or more conceptual paths, each path addressing a part of a structure of an ontology system, the ontology system being an application-independent representation of domain knowledge by a set of concepts and relationships between the concepts, the change being described by an ordered sequence of first operators defining semantic information on said change; defining one or more second operators that operate on a mapping from at least one application path of an intensional part of a data system to a conceptual path of the ontology system, the intensional part being prescribed by constraints on data elements and relationships between the data elements, each application path addressing a part of the structure of the data system, said one or more second operators being equivalent to said one or more first operators used to describe said change to said one or more conceptual paths addressing said part of the structure of said ontology system; and updating said mapping with said one or more equivalent second operators to reflect the change to said one or more conceptual paths addressing said part of the structure of the ontology system. | 1. A computer implemented method comprising steps of: detecting a change to one or more conceptual paths, each path addressing a part of a structure of an ontology system, the ontology system being an application-independent representation of domain knowledge by a set of concepts and relationships between the concepts, the change being described by an ordered sequence of first operators defining semantic information on said change; defining one or more second operators that operate on a mapping from at least one application path of an intensional part of a data system to a conceptual path of the ontology system, the intensional part being prescribed by constraints on data elements and relationships between the data elements, each application path addressing a part of the structure of the data system, said one or more second operators being equivalent to said one or more first operators used to describe said change to said one or more conceptual paths addressing said part of the structure of said ontology system; and updating said mapping with said one or more equivalent second operators to reflect the change to said one or more conceptual paths addressing said part of the structure of the ontology system. 3. The method as in claim 1 , comprising an initial step of apply ng said change to said ontology system. | 0.543931 |
5. A method comprising: receiving a plurality of glyphs; identifying a first character corresponding to a first glyph of the plurality of glyphs, and a second character corresponding to a second glyph of the plurality of glyphs; identifying a first font for the first glyph of the plurality of glyphs, wherein identifying the first font comprises: identifying a candidate font for the first glyph; determining that the candidate font is a most commonly used font for a related set of two or more of the plurality of glyphs; determining that the candidate font that is the most commonly used font is a dominant font for the related set of two or more of the plurality of glyphs; and identifying a final font for glyphs in the related set based at least in part on the dominant font; identifying a second font for the second glyph of the plurality of glyphs, wherein the second font is different than the first font, and wherein the first font and the second font are identified based on two or more of the plurality of glyphs; and generating a reflowable content file indicating the first character for the first glyph of the plurality of glyphs, the second character for the second glyph of the plurality of glyphs, the first font for the first glyph of the plurality of glyphs, and the second font for the second glyph of the plurality of glyphs. | 5. A method comprising: receiving a plurality of glyphs; identifying a first character corresponding to a first glyph of the plurality of glyphs, and a second character corresponding to a second glyph of the plurality of glyphs; identifying a first font for the first glyph of the plurality of glyphs, wherein identifying the first font comprises: identifying a candidate font for the first glyph; determining that the candidate font is a most commonly used font for a related set of two or more of the plurality of glyphs; determining that the candidate font that is the most commonly used font is a dominant font for the related set of two or more of the plurality of glyphs; and identifying a final font for glyphs in the related set based at least in part on the dominant font; identifying a second font for the second glyph of the plurality of glyphs, wherein the second font is different than the first font, and wherein the first font and the second font are identified based on two or more of the plurality of glyphs; and generating a reflowable content file indicating the first character for the first glyph of the plurality of glyphs, the second character for the second glyph of the plurality of glyphs, the first font for the first glyph of the plurality of glyphs, and the second font for the second glyph of the plurality of glyphs. 6. The method of claim 5 , wherein receiving the plurality of glyphs comprises: receiving an image of at least a portion of a physical text source; and segmenting the image into a plurality of character blocks, each character block comprising one of the plurality of glyphs. | 0.693958 |
1. A pivotal bone anchor assembly for securing an elongate rod to a bone, the pivotal bone anchor assembly comprising: a receiver having a longitudinal axis, a lower body defining a cavity with a bottom opening, an upper shank capture region, and a lower shank locking region, and a pair of upwardly extending arms with opposed interior surfaces that define an open channel for receiving the elongate rod, the open channel communicating with the cavity to define a central bore, the open channel interior surfaces having a closure-mating structure formed therein, the central bore including an interference wedging structure that extends inwardly toward the longitudinal axis below the closure-mating structure; a shank having an upper end portion and an anchor portion extending distally from the upper end portion for attachment to the bone, the upper end portion being up-loadable into the receiver cavity through the bottom opening; a retaining structure positionable within the receiver cavity upper shank capture region prior to the shank and operable to capture the shank upper end portion, upon uploading through the bottom opening, in spaced relationship from an internal surface of the receiver cavity, the retaining structure being held in the cavity upper shank capture region until the shank upper end portion is capture therein; and a compression insert having an upwardly facing surface sized and shaped for engaging the elongate rod, a laterally facing exterior surface for engaging the receiver interference wedging structure, and a recess formed into a lower portion of the insert for receiving and overlappingly engaging an upper portion of the retaining structure, wherein the compression insert is positionable within the receiver central bore prior to the shank and in a side-to-side overlapping relationship with the retaining structure, with the compression insert being prevented from moving downwardly within the central bore by at least partial engagement with the receiver interference wedging structure extending inwardly toward the longitudinal axis; and wherein after the shank upper end portion is captured within the retaining structure, the compression insert is downwardly deployable within the receiver by direct engagement with a tool until the exterior surface of the compression insert comes into a forced interference engagement with the receiver interference wedging structure so as to prevent the compression insert from moving back up within the receiver central bore. | 1. A pivotal bone anchor assembly for securing an elongate rod to a bone, the pivotal bone anchor assembly comprising: a receiver having a longitudinal axis, a lower body defining a cavity with a bottom opening, an upper shank capture region, and a lower shank locking region, and a pair of upwardly extending arms with opposed interior surfaces that define an open channel for receiving the elongate rod, the open channel communicating with the cavity to define a central bore, the open channel interior surfaces having a closure-mating structure formed therein, the central bore including an interference wedging structure that extends inwardly toward the longitudinal axis below the closure-mating structure; a shank having an upper end portion and an anchor portion extending distally from the upper end portion for attachment to the bone, the upper end portion being up-loadable into the receiver cavity through the bottom opening; a retaining structure positionable within the receiver cavity upper shank capture region prior to the shank and operable to capture the shank upper end portion, upon uploading through the bottom opening, in spaced relationship from an internal surface of the receiver cavity, the retaining structure being held in the cavity upper shank capture region until the shank upper end portion is capture therein; and a compression insert having an upwardly facing surface sized and shaped for engaging the elongate rod, a laterally facing exterior surface for engaging the receiver interference wedging structure, and a recess formed into a lower portion of the insert for receiving and overlappingly engaging an upper portion of the retaining structure, wherein the compression insert is positionable within the receiver central bore prior to the shank and in a side-to-side overlapping relationship with the retaining structure, with the compression insert being prevented from moving downwardly within the central bore by at least partial engagement with the receiver interference wedging structure extending inwardly toward the longitudinal axis; and wherein after the shank upper end portion is captured within the retaining structure, the compression insert is downwardly deployable within the receiver by direct engagement with a tool until the exterior surface of the compression insert comes into a forced interference engagement with the receiver interference wedging structure so as to prevent the compression insert from moving back up within the receiver central bore. 8. The pivotal bone anchor assembly of claim 1 , wherein the retaining structure is downwardly deployable with the compression insert within the receiver until a lower portion of the retaining structure becomes wedged between the internal surface of the receiver cavity and the shank upper end portion so as lock the shank in a fixed angular orientation with respect to the receiver. | 0.5 |
1. A method programmed in a non-transitory memory of a device comprising: a. automatically analyzing broadcast information; b. automatically fact checking the broadcast information by comparing the broadcast information with source information to generate a result, wherein comparing includes: i. searching for an exact match of the broadcast information in the source information and returning the exact match search result of the exact match search if the exact match is found; ii. otherwise, if the exact match is not found, then utilizing pattern matching for fact checking and returning the result of the pattern matching fact check if a pattern matching result confidence score is above a pattern matching result confidence threshold; iii. otherwise, if the pattern matching result confidence score is not above the pattern matching result confidence threshold, then utilizing a natural language search for fact checking and returning the result of the natural language fact check if a natural language result confidence score is above a natural language result confidence threshold; and iv. otherwise, returning a negative result value as the result; and c. automatically presenting a status of the broadcast information in real-time based on the result of the comparison of the broadcast information with the source information, wherein searching for the exact match begins searching the source information located on a fastest access time hardware device, then using the source information located on a second fastest access time hardware device, and then using the source information located on slower access time hardware devices until a device list has been exhausted; wherein utilizing pattern matching begins utilizing the source information located on the fastest access time hardware device, then using the source information located on the second fastest access time hardware device, and then using the source information located on the slower access time hardware devices until the device list has been exhausted; wherein the natural language search begins searching the source information located on the fastest access time hardware device, then using the source information located on the second fastest access time hardware device, and then using the source information located on the slower access time hardware devices until the device list has been exhausted; wherein searching for the exact match begins searching the source information located in a designated fact checking database, then goes to a broader set of source information, and repeatedly goes to broader sets of source information until a broadest source information set has been exhausted; wherein utilizing pattern matching begins utilizing the source information located in the designated fact checking database, then goes to the broader set of source information, and repeatedly goes to broader sets of source information until the broadest source information set has been exhausted; and wherein the natural language search begins searching the source information located in the designated fact checking database, then going to the broader set of source information, and repeatedly going to broader sets of source information until the broadest source information set has been exhausted. | 1. A method programmed in a non-transitory memory of a device comprising: a. automatically analyzing broadcast information; b. automatically fact checking the broadcast information by comparing the broadcast information with source information to generate a result, wherein comparing includes: i. searching for an exact match of the broadcast information in the source information and returning the exact match search result of the exact match search if the exact match is found; ii. otherwise, if the exact match is not found, then utilizing pattern matching for fact checking and returning the result of the pattern matching fact check if a pattern matching result confidence score is above a pattern matching result confidence threshold; iii. otherwise, if the pattern matching result confidence score is not above the pattern matching result confidence threshold, then utilizing a natural language search for fact checking and returning the result of the natural language fact check if a natural language result confidence score is above a natural language result confidence threshold; and iv. otherwise, returning a negative result value as the result; and c. automatically presenting a status of the broadcast information in real-time based on the result of the comparison of the broadcast information with the source information, wherein searching for the exact match begins searching the source information located on a fastest access time hardware device, then using the source information located on a second fastest access time hardware device, and then using the source information located on slower access time hardware devices until a device list has been exhausted; wherein utilizing pattern matching begins utilizing the source information located on the fastest access time hardware device, then using the source information located on the second fastest access time hardware device, and then using the source information located on the slower access time hardware devices until the device list has been exhausted; wherein the natural language search begins searching the source information located on the fastest access time hardware device, then using the source information located on the second fastest access time hardware device, and then using the source information located on the slower access time hardware devices until the device list has been exhausted; wherein searching for the exact match begins searching the source information located in a designated fact checking database, then goes to a broader set of source information, and repeatedly goes to broader sets of source information until a broadest source information set has been exhausted; wherein utilizing pattern matching begins utilizing the source information located in the designated fact checking database, then goes to the broader set of source information, and repeatedly goes to broader sets of source information until the broadest source information set has been exhausted; and wherein the natural language search begins searching the source information located in the designated fact checking database, then going to the broader set of source information, and repeatedly going to broader sets of source information until the broadest source information set has been exhausted. 4. The method of claim 1 further comprising parsing the broadcast information into segments and prioritizing the segments, so that a highest priority segment is fact checked first, wherein priority is based on the relatedness of the segment to a current topic being discussed and when the segment was presented, wherein if the segment is not fact checked before a timeout threshold, then the segment is removed from a fact check queue. | 0.594688 |
1. An input method for a communication device having a hardware processor, the method comprising: receiving, through a virtual keyboard displayed on a touchscreen of the communication device, an input string; determining a typing speed associated with the received input; generating, by the hardware processor, predicted strings stored in a dictionary memory of the communication device, where contextual data is sued when generating the predicted string; assigning, by the hardware processor, a higher likelihood to longer predicted strings associated with the received input matches an intended input string when a typing speed associated with the received input increases; assigning, to the predicted string, a score associated with the determined likelihood, wherein the score is independent of the length of the predicted string if the typing speed is below a predetermined speed threshold; determining whether to display the predicted string based at least on the score; displaying, on virtual keyboard of the communication device, one or more predicted strings at or near the input string and based on the determined likelihoods of the predicted strings; and determining, by the hardware processor, whether one of the predicting strings matched the intended input string based on user input or omission of user input within a predetermined period of time. | 1. An input method for a communication device having a hardware processor, the method comprising: receiving, through a virtual keyboard displayed on a touchscreen of the communication device, an input string; determining a typing speed associated with the received input; generating, by the hardware processor, predicted strings stored in a dictionary memory of the communication device, where contextual data is sued when generating the predicted string; assigning, by the hardware processor, a higher likelihood to longer predicted strings associated with the received input matches an intended input string when a typing speed associated with the received input increases; assigning, to the predicted string, a score associated with the determined likelihood, wherein the score is independent of the length of the predicted string if the typing speed is below a predetermined speed threshold; determining whether to display the predicted string based at least on the score; displaying, on virtual keyboard of the communication device, one or more predicted strings at or near the input string and based on the determined likelihoods of the predicted strings; and determining, by the hardware processor, whether one of the predicting strings matched the intended input string based on user input or omission of user input within a predetermined period of time. 3. The method of claim 1 , wherein the length threshold is a function of a reaction time. | 0.826255 |
11. An apparatus for inferring one or more attributes of a user, said apparatus comprising: a memory; and at least one processor, coupled to the memory, operative to: obtain an inferred set of attributes for said user comprised of one or more attributes of social neighbors of said user in a social network: predict an accuracy of said obtained inferred set of attributes for said user; and if said predicted accuracy does not satisfy a quality threshold, then modify said inferred set for said user using a user attribute correlation model describing a probability that at least two of said attributes in said inferred set co-occur on any one user among users of said social network. | 11. An apparatus for inferring one or more attributes of a user, said apparatus comprising: a memory; and at least one processor, coupled to the memory, operative to: obtain an inferred set of attributes for said user comprised of one or more attributes of social neighbors of said user in a social network: predict an accuracy of said obtained inferred set of attributes for said user; and if said predicted accuracy does not satisfy a quality threshold, then modify said inferred set for said user using a user attribute correlation model describing a probability that at least two of said attributes in said inferred set co-occur on any one user among users of said social network. 19. The apparatus of claim 11 , wherein said user attribute correlation model prioritizes a smaller size of said modified inferred set. | 0.569106 |
14. A computer system comprising: one or more computer processors; one or more computer readable storage media; program instructions stored on the computer readable storage media for execution by at least one of the one or more processors, the program instructions comprising:18 program instructions to identify a set of vocal variables for a user, by a voice recognition system, based, at least in part, on a user interaction with the voice recognition system, wherein the user interaction includes the user selecting a first language and a second language, and adjusting a level of accent, wherein the level of accent indicates an amount by which the second language affects the user's speaking of the first language; program instructions to generate a voice model of speech patterns that represent the user's speaking of the first language using the identified set of vocal variables, wherein the voice model is adapted to improve recognition of the user's voice by the voice recognition system; program instructions to match the generated voice model to a catalog of speech patterns, and identify a voice model code that represents speech patterns in the catalog that match the generated voice model; program instructions to provide the identified voice model code to the user; program instructions to receive voice input from the user; and program instructions to utilize the generated voice model to improve recognition of the received voice input, based on the user providing the identified voice model code. | 14. A computer system comprising: one or more computer processors; one or more computer readable storage media; program instructions stored on the computer readable storage media for execution by at least one of the one or more processors, the program instructions comprising:18 program instructions to identify a set of vocal variables for a user, by a voice recognition system, based, at least in part, on a user interaction with the voice recognition system, wherein the user interaction includes the user selecting a first language and a second language, and adjusting a level of accent, wherein the level of accent indicates an amount by which the second language affects the user's speaking of the first language; program instructions to generate a voice model of speech patterns that represent the user's speaking of the first language using the identified set of vocal variables, wherein the voice model is adapted to improve recognition of the user's voice by the voice recognition system; program instructions to match the generated voice model to a catalog of speech patterns, and identify a voice model code that represents speech patterns in the catalog that match the generated voice model; program instructions to provide the identified voice model code to the user; program instructions to receive voice input from the user; and program instructions to utilize the generated voice model to improve recognition of the received voice input, based on the user providing the identified voice model code. 17. The computer system of claim 14 , further comprising: program instructions to, prior to matching the generated voice model to the catalog of voice models, determine that the generated voice model is accepted by the user. | 0.568733 |
1. A method for providing contextually sensitive functionality to a computer-generated document, the method comprising: attaching an Extensible Markup Language (XML) schema to the document defining at least one of the following: permissible data content, data type and data structure for the document; annotating particular portions of the document with XML elements; associating a solution with a portion of the document, wherein the solution comprises at least one of the following: a document control and a document action associated with content of the document; assembling a plurality of software components for providing the solution to the document; and providing a contextually sensitive user interface upon a user selecting the portion of the document for editing document content within the portion of the document, the contextually sensitive user interface providing at least one of the following: the document control and the document action configured to be employed in editing the document content, wherein providing the contextually sensitive user interface comprises providing a contextual sensitive user interface having editable elements, the editable elements enabling a user to edit textual content within the document. | 1. A method for providing contextually sensitive functionality to a computer-generated document, the method comprising: attaching an Extensible Markup Language (XML) schema to the document defining at least one of the following: permissible data content, data type and data structure for the document; annotating particular portions of the document with XML elements; associating a solution with a portion of the document, wherein the solution comprises at least one of the following: a document control and a document action associated with content of the document; assembling a plurality of software components for providing the solution to the document; and providing a contextually sensitive user interface upon a user selecting the portion of the document for editing document content within the portion of the document, the contextually sensitive user interface providing at least one of the following: the document control and the document action configured to be employed in editing the document content, wherein providing the contextually sensitive user interface comprises providing a contextual sensitive user interface having editable elements, the editable elements enabling a user to edit textual content within the document. 3. The method of claim 1 , wherein assembling the plurality of software components comprises retrieving a software component from a remote location in a distributed computing environment. | 0.704 |
14. The command processing system of claim 9 , wherein the gesture information indicates whether a hand or forearm of the user is located within a distance from the depth camera or beyond the distance from the depth camera, and wherein the command extraction module selects a first set of verbal commands responsive to the gesture information indicating that the hand or the forearm is located within the distance and selects a second set of verbal commands responsive to the gesture information indicating that the hand or the forearm is located beyond the distance. | 14. The command processing system of claim 9 , wherein the gesture information indicates whether a hand or forearm of the user is located within a distance from the depth camera or beyond the distance from the depth camera, and wherein the command extraction module selects a first set of verbal commands responsive to the gesture information indicating that the hand or the forearm is located within the distance and selects a second set of verbal commands responsive to the gesture information indicating that the hand or the forearm is located beyond the distance. 15. The command processing system of claim 14 , wherein the first set of verbal commands is associated with performing navigation operations in the vehicle. | 0.85201 |
8. A computer system that manages access control policies using two high-level programming language environments, comprising: a structured language environment module that is configured to manage a structured language environment; a dynamic language environment module that is configured to manage a dynamic language environment within the structured language environment; a portal module that is configured to receive a policy, wherein the policy is written in a dynamic language; a storage module that is configured to store the policy in the dynamic language environment; a conversion module that is configured to convert the policy from the dynamic language environment to the structured language environment; and a runtime module that is configured to generate a runtime in the structured language environment that includes the policy. | 8. A computer system that manages access control policies using two high-level programming language environments, comprising: a structured language environment module that is configured to manage a structured language environment; a dynamic language environment module that is configured to manage a dynamic language environment within the structured language environment; a portal module that is configured to receive a policy, wherein the policy is written in a dynamic language; a storage module that is configured to store the policy in the dynamic language environment; a conversion module that is configured to convert the policy from the dynamic language environment to the structured language environment; and a runtime module that is configured to generate a runtime in the structured language environment that includes the policy. 11. The computer system of claim 8 , wherein the storage module is further configured to store the policy as a data structure managed in the structured language environment. | 0.840302 |
12. An end-user system comprising: a plurality of user devices, wherein each of the plurality of user devices is configured to display a document to a user; a local data server comprising a plurality of databases, wherein the plurality of databases comprise: a post database, wherein the post database contains the content that is displayed to a user via at least one of the user devices; and a customization database, wherein the customization database comprises at least one customization including a customization file comprising at least one page fragment for insertion into the document and a metadata file; and an end-user server configured to: retrieve a document comprising digital content via a communication network; identify the presence of at least one insertion point within the document, wherein identifying the presence of the at least one insertion point within the document comprises: receiving data identifying one or several indicators of an insertion point; and searching the document via a search engine for indicators of an insertion point; identify a customization comprising a customization file comprising at least one page fragment for insertion into the document and a metadata file from the customization database, wherein the customization has a customization name; parse the customization name; determine a customization location, wherein determining the customization location comprises: identifying a designated insertion point for receiving the customization; and identifying a destination location in displayed digital content for the customization, wherein the destination location is the location at which the customization appears to a user accessing the document, and wherein the destination location is not at the insertion point; insert the customization into the document at the insertion point; and output the document including the inserted customization to at least one of the user devices. | 12. An end-user system comprising: a plurality of user devices, wherein each of the plurality of user devices is configured to display a document to a user; a local data server comprising a plurality of databases, wherein the plurality of databases comprise: a post database, wherein the post database contains the content that is displayed to a user via at least one of the user devices; and a customization database, wherein the customization database comprises at least one customization including a customization file comprising at least one page fragment for insertion into the document and a metadata file; and an end-user server configured to: retrieve a document comprising digital content via a communication network; identify the presence of at least one insertion point within the document, wherein identifying the presence of the at least one insertion point within the document comprises: receiving data identifying one or several indicators of an insertion point; and searching the document via a search engine for indicators of an insertion point; identify a customization comprising a customization file comprising at least one page fragment for insertion into the document and a metadata file from the customization database, wherein the customization has a customization name; parse the customization name; determine a customization location, wherein determining the customization location comprises: identifying a designated insertion point for receiving the customization; and identifying a destination location in displayed digital content for the customization, wherein the destination location is the location at which the customization appears to a user accessing the document, and wherein the destination location is not at the insertion point; insert the customization into the document at the insertion point; and output the document including the inserted customization to at least one of the user devices. 14. The system of claim 12 , wherein the identified customization is not one of the at least one customization in the customization database. | 0.544211 |
12. A non-transitory computer-readable medium embodying program code executable by a computer system, the non-transitory computer-readable medium comprising: program code for receiving a request to access target data, wherein the target data is stored in at least one of a plurality of data sources, each of the plurality of data sources having a respective candidate index; program code for accessing a plurality of general indices, wherein each of the plurality of general indices comprises a respective index of relationships between data from at least two of the plurality of data sources; program code for extracting a plurality of inquiry parameters from the request, wherein each of the extracted plurality of inquiry parameters corresponds to a respective sub-index from the plurality of general indices, wherein each sub-index from the plurality of general indices comprises a respective subset of at least one respective general index from the plurality of general indices; program code for performing parallel searches of the plurality of general indices, wherein each parallel search comprises searching a respective sub-index from the plurality of general indices based on a respective inquiry parameter from the extracted plurality of inquiry parameters that corresponds to the respective sub-index; program code for performing additional parallel searches of the candidate indices for the plurality of data sources based on the extracted plurality of inquiry parameters and at least one additional inquiry parameter obtained from the parallel searches of the plurality of general indices; and program code for extracting an output based on results returned from the additional parallel searches of the candidate indices. | 12. A non-transitory computer-readable medium embodying program code executable by a computer system, the non-transitory computer-readable medium comprising: program code for receiving a request to access target data, wherein the target data is stored in at least one of a plurality of data sources, each of the plurality of data sources having a respective candidate index; program code for accessing a plurality of general indices, wherein each of the plurality of general indices comprises a respective index of relationships between data from at least two of the plurality of data sources; program code for extracting a plurality of inquiry parameters from the request, wherein each of the extracted plurality of inquiry parameters corresponds to a respective sub-index from the plurality of general indices, wherein each sub-index from the plurality of general indices comprises a respective subset of at least one respective general index from the plurality of general indices; program code for performing parallel searches of the plurality of general indices, wherein each parallel search comprises searching a respective sub-index from the plurality of general indices based on a respective inquiry parameter from the extracted plurality of inquiry parameters that corresponds to the respective sub-index; program code for performing additional parallel searches of the candidate indices for the plurality of data sources based on the extracted plurality of inquiry parameters and at least one additional inquiry parameter obtained from the parallel searches of the plurality of general indices; and program code for extracting an output based on results returned from the additional parallel searches of the candidate indices. 14. The non-transitory computer-readable medium of claim 12 , wherein the program code for returning the output comprise program code for returning the target data from at least two data sources of the plurality of data sources and a relationship between the target data from the at least two data sources. | 0.575587 |
1. A computer-implemented text analysis method comprising: accessing a plurality of text items regarding a plurality of different topics, wherein the text items were published over a time period; dividing the time period into a plurality of intervals; using dates of publication of the text items, associating the text items with the time intervals; for individual ones of the intervals, counting a number of the text items which include a given text pattern; comparing the counted numbers of text items which include the given text pattern for the individual intervals with one another; and identifying a topical change in the text items using results of the comparing. | 1. A computer-implemented text analysis method comprising: accessing a plurality of text items regarding a plurality of different topics, wherein the text items were published over a time period; dividing the time period into a plurality of intervals; using dates of publication of the text items, associating the text items with the time intervals; for individual ones of the intervals, counting a number of the text items which include a given text pattern; comparing the counted numbers of text items which include the given text pattern for the individual intervals with one another; and identifying a topical change in the text items using results of the comparing. 14. The method of claim 1 wherein the topical change is the given text pattern, and wherein the processing circuitry is further configured to identify the given text pattern as the topical change as a result of an increased occurrence of the given text pattern in the text items which have dates of publication within one of the intervals compared with previous intervals. | 0.5 |
10. A system for analyzing words of an agglutinative language, comprising: a computer comprising a processor and a memory; a master automaton stored in the memory, the master automaton formed by: constructing an affix automaton for each of a plurality of affix types of the agglutinative language, wherein each of said affix types is associated with one or more affixes associated with a morphological concept; combining any of said affix automatons to form a plurality of template automatons, where each of said template automatons is patterned after any of a plurality of agglutination templates of any of said affix types for said agglutinative language; and combining said template automatons into a master automaton; and instructions which are executable, using the processor, for analyzing a word in the agglutinative language using said master automaton, further comprising: receiving a word in the agglutinative language; executing the master automaton to perform the analysis of the received word; and responsive to the executing, producing an output that indicates an expected part of speech for the word based on which of the template automatons were traversed within the master automaton during the executing. | 10. A system for analyzing words of an agglutinative language, comprising: a computer comprising a processor and a memory; a master automaton stored in the memory, the master automaton formed by: constructing an affix automaton for each of a plurality of affix types of the agglutinative language, wherein each of said affix types is associated with one or more affixes associated with a morphological concept; combining any of said affix automatons to form a plurality of template automatons, where each of said template automatons is patterned after any of a plurality of agglutination templates of any of said affix types for said agglutinative language; and combining said template automatons into a master automaton; and instructions which are executable, using the processor, for analyzing a word in the agglutinative language using said master automaton, further comprising: receiving a word in the agglutinative language; executing the master automaton to perform the analysis of the received word; and responsive to the executing, producing an output that indicates an expected part of speech for the word based on which of the template automatons were traversed within the master automaton during the executing. 13. The system according to claim 10 , wherein the executing the master automaton is operative to perform a dictionary look-up of a portion of said word beyond a letter corresponding to a last valid affix found when traversing the master automaton, the dictionary look-up determining a part of speech for said word. | 0.591085 |
17. A non-transitory machine readable storage medium including instructions, which when executed on the machine, cause the machine to: extract a plurality of skill seed phrases from a plurality of member profiles of a social networking service; disambiguate the plurality of skill seed phrases to create a plurality of disambiguated skill seed phrases; and de-duplicate the plurality of disambiguated skill seed phrases to create a plurality of de-duplicated skill seed phrases, the de-duplicated skill seed phrases identifying a plurality of skills; and wherein the instructions for de-duplication cause the machine to: calculate a plurality of internet search queries, at least one for each of the plurality of disambiguated skill seed phrases, the internet search queries, when executed returning a list of internet web pages; for each of the plurality of internet search queries, submitting to a crowd sourcing application, over a network, a job for which the crowd sourcing application returns a specific internet web page selected from the list of internet web pages that is returned from each of the plurality of the internet search queries, the specific internet web page representing an interpretation of a meaning of the disambiguated skill seed phrase corresponding to each internet search query; and use the plurality of returned specific internet web pages to determine which of the plurality of disambiguated skill seed phrases identify identical skills. | 17. A non-transitory machine readable storage medium including instructions, which when executed on the machine, cause the machine to: extract a plurality of skill seed phrases from a plurality of member profiles of a social networking service; disambiguate the plurality of skill seed phrases to create a plurality of disambiguated skill seed phrases; and de-duplicate the plurality of disambiguated skill seed phrases to create a plurality of de-duplicated skill seed phrases, the de-duplicated skill seed phrases identifying a plurality of skills; and wherein the instructions for de-duplication cause the machine to: calculate a plurality of internet search queries, at least one for each of the plurality of disambiguated skill seed phrases, the internet search queries, when executed returning a list of internet web pages; for each of the plurality of internet search queries, submitting to a crowd sourcing application, over a network, a job for which the crowd sourcing application returns a specific internet web page selected from the list of internet web pages that is returned from each of the plurality of the internet search queries, the specific internet web page representing an interpretation of a meaning of the disambiguated skill seed phrase corresponding to each internet search query; and use the plurality of returned specific internet web pages to determine which of the plurality of disambiguated skill seed phrases identify identical skills. 20. The machine readable medium of claim 17 , wherein the instructions for creating a plurality of disambiguated skill seed phrases comprise instructions, which when executed on the machine, cause the machine to: cluster the plurality of skill seed phrases based on a frequency of co-occurrence of the plurality of skill seed phrases. | 0.565457 |
5. The computer implemented method of claim 1 further comprising: facilitating the sale of the one or more products/services that complement the one or more actions taken by the user. | 5. The computer implemented method of claim 1 further comprising: facilitating the sale of the one or more products/services that complement the one or more actions taken by the user. 6. The computer implemented method of claim 5 further comprising: charging a fee for facilitating the sale of the one or more products/services that complement the one or more actions taken by the user. | 0.928872 |
1. A computer-implemented method comprising: identifying, by one or more computing devices, a content source that was referenced by search results for each of two or more different queries that have been previously received from users; determining, by one or more computing devices and for each query from the two or more queries, a number of user interactions with the search results that referenced the content source and were provided to the users in response to the query; ranking, by one or more computing devices, the queries based on the number of user interactions with the content source when presented to the users as a search result for each query; determining, by one or more computing devices, that a term provided by an advertiser matches a query from the two or more queries; determining, by one or more computing devices, that the number of user interactions with the content source corresponding to the matched query meets a threshold number of user interactions; and providing data to the advertiser identifying the content source as a presentation location for the advertiser's content. | 1. A computer-implemented method comprising: identifying, by one or more computing devices, a content source that was referenced by search results for each of two or more different queries that have been previously received from users; determining, by one or more computing devices and for each query from the two or more queries, a number of user interactions with the search results that referenced the content source and were provided to the users in response to the query; ranking, by one or more computing devices, the queries based on the number of user interactions with the content source when presented to the users as a search result for each query; determining, by one or more computing devices, that a term provided by an advertiser matches a query from the two or more queries; determining, by one or more computing devices, that the number of user interactions with the content source corresponding to the matched query meets a threshold number of user interactions; and providing data to the advertiser identifying the content source as a presentation location for the advertiser's content. 4. The method of claim 1 , comprising: identifying, for the content source, a set of queries that are associated with at least the threshold number of user interactions; and providing, to the advertiser, data specifying at least a portion of the queries in the set of queries. | 0.584965 |
17. A multi-dimensional foraging method comprising: generating a working set of documents from a collection of documents having dimensions as part of a document foraging and retrieving operation, wherein a dimension of a document represents a characteristic of the document; selecting panels, each panel corresponding to a selected dimension or combination of dimensions of the documents obtained as part of the document and retrieving operation; generating for each of the selected panels, sets of the documents in the working set, the generated document sets corresponding to the dimension or combination of dimensions of a corresponding panel; generating neighboring document sets from documents other than those of the working set, the neighboring document sets related to the document sets generated from the working set; arranging the document sets having a particular dimension or combination of dimensions in relationship to each other in a same panel; selecting document sets to be included in the working set, wherein those not selected are placed in a non-working set; displaying a recency panel that presents documents within the working set and the non-working set on a time line, wherein the time line indicates a date of creation for each document presented; displaying the panels having the arranged document set on a visual display device, wherein a multi-dimensional view of the working set is provided, wherein the displaying includes generating within at least some of the panels a visual retrieval boundary between document sets within the working set and document sets in the non-working set, wherein the visual retrieval boundary distinguishes between document sets within the working set and document sets in the non-working set; adding at least one of a visual constraint or inclusion to at least one of the displayed panels; altering the working set and the non-working set and the visual retrieval boundary based on the adding of the at least one visual constraint or inclusion; and displaying the panels with the altered working set and the non-working set and retrieval boundary. | 17. A multi-dimensional foraging method comprising: generating a working set of documents from a collection of documents having dimensions as part of a document foraging and retrieving operation, wherein a dimension of a document represents a characteristic of the document; selecting panels, each panel corresponding to a selected dimension or combination of dimensions of the documents obtained as part of the document and retrieving operation; generating for each of the selected panels, sets of the documents in the working set, the generated document sets corresponding to the dimension or combination of dimensions of a corresponding panel; generating neighboring document sets from documents other than those of the working set, the neighboring document sets related to the document sets generated from the working set; arranging the document sets having a particular dimension or combination of dimensions in relationship to each other in a same panel; selecting document sets to be included in the working set, wherein those not selected are placed in a non-working set; displaying a recency panel that presents documents within the working set and the non-working set on a time line, wherein the time line indicates a date of creation for each document presented; displaying the panels having the arranged document set on a visual display device, wherein a multi-dimensional view of the working set is provided, wherein the displaying includes generating within at least some of the panels a visual retrieval boundary between document sets within the working set and document sets in the non-working set, wherein the visual retrieval boundary distinguishes between document sets within the working set and document sets in the non-working set; adding at least one of a visual constraint or inclusion to at least one of the displayed panels; altering the working set and the non-working set and the visual retrieval boundary based on the adding of the at least one visual constraint or inclusion; and displaying the panels with the altered working set and the non-working set and retrieval boundary. 19. The method according to claim 17 , wherein the selected dimension or combination of dimensions includes a level of reading difficulty dimension. | 0.523486 |
1. A method implemented in a computer having a processor and memory, the method comprising: identifying first data representing an object-oriented data model, which comprises a plurality of object-oriented data model constructs for modeling object-oriented classes; wherein identifying the first data comprises identifying the first data amongst data representing an object-oriented data model; translating the first data to second data, which represents one or more YANG data model statements, but which is not extensible markup language data and which does not comprise constructs for modeling the object-oriented classes; wherein the one or more YANG data model statements capture relationships between the object-oriented data model constructs; wherein each YANG statement of the one or more YANG data model statements represented by the second data comprises a YANG keyword, which is followed by zero or more arguments, which is followed by either a semicolon or a block of YANG sub-statements enclosed within braces; and storing the second data in one or more non-transitory computer-readable media; wherein storing the second data comprises storing the second data as part of data representing a YANG data model. | 1. A method implemented in a computer having a processor and memory, the method comprising: identifying first data representing an object-oriented data model, which comprises a plurality of object-oriented data model constructs for modeling object-oriented classes; wherein identifying the first data comprises identifying the first data amongst data representing an object-oriented data model; translating the first data to second data, which represents one or more YANG data model statements, but which is not extensible markup language data and which does not comprise constructs for modeling the object-oriented classes; wherein the one or more YANG data model statements capture relationships between the object-oriented data model constructs; wherein each YANG statement of the one or more YANG data model statements represented by the second data comprises a YANG keyword, which is followed by zero or more arguments, which is followed by either a semicolon or a block of YANG sub-statements enclosed within braces; and storing the second data in one or more non-transitory computer-readable media; wherein storing the second data comprises storing the second data as part of data representing a YANG data model. 5. The method of claim 1 , wherein an object-oriented data model construct, from the plurality of object-oriented data model constructs, is a particular object-oriented package definition; wherein the one or more YANG data model statements includes a particular YANG module statement; and wherein translating the first data to the second data comprises translating the particular object-oriented package definition to the particular YANG module statement. | 0.630303 |
2. The computer implemented method of claim 1 , wherein parsing the received email with a second parser comprises: selectively and programmatically enabling the capability of the second parser to parse the annotated portion. | 2. The computer implemented method of claim 1 , wherein parsing the received email with a second parser comprises: selectively and programmatically enabling the capability of the second parser to parse the annotated portion. 3. The computer implemented method of claim 2 , wherein selectively and programmatically enabling further comprises: selection through a set of controls, the controls managing selective and programmatic enablement according to a set of criteria comprising sending user, email topic, email priority and receiving user. | 0.917957 |
15. A computer program product comprising computer readable instructions embodied on a non-transitory computer readable medium and configured, when executed on one or more computer processors, to facilitate text-to-speech conversion of a text in a first language having sections in at least one second language by: converting the second language sections into phonemes; and processing similarity tests configured to perform category-to-category comparisons of respective vector representatives of phonetic categories of a set of phonemes of the second language and respective vector representatives of phonetic categories of a set of candidate mapping phonemes of the first language, the similarity tests being independent of the first and second languages. | 15. A computer program product comprising computer readable instructions embodied on a non-transitory computer readable medium and configured, when executed on one or more computer processors, to facilitate text-to-speech conversion of a text in a first language having sections in at least one second language by: converting the second language sections into phonemes; and processing similarity tests configured to perform category-to-category comparisons of respective vector representatives of phonetic categories of a set of phonemes of the second language and respective vector representatives of phonetic categories of a set of candidate mapping phonemes of the first language, the similarity tests being independent of the first and second languages. 20. The computer program product of claim 15 , wherein the computer readable instructions are further configured, when executed on one or more processors, to: use results of the similarity tests to map at least part of the second language phonemes to sets of phonemes of the first language by: assigning respective scores to results of the similarity tests; and mapping one or more of the second language phonemes to a set of mapping phonemes of the first language, the set of mapping phonemes being selected from the candidate mapping phonemes as a function of the scores; and include the first language sets of phonemes resulting from the mapping in a stream of phonemes of the first language representative of the text to produce a resulting stream of phonemes that are used to generate a speech signal. | 0.5 |
2. The system as claimed in claim 1 , wherein when only said speech signal is inputted to said interactive mode setting and speech processing module, said interactive mode is set as a conversation mode. | 2. The system as claimed in claim 1 , wherein when only said speech signal is inputted to said interactive mode setting and speech processing module, said interactive mode is set as a conversation mode. 4. The system as claimed in claim 2 , wherein said interactive mode setting and speech processing module further includes a speech recognition unit for receiving said speech signal and determining target text sentence information of said speech signal. | 0.9 |
12. The method of processing a taxpayer source document of claim 11 further comprising the step of determining which electronic images of the taxpayer source documents are duplicates and which electronic images of the taxpayer source documents are new taxpayer source documents. | 12. The method of processing a taxpayer source document of claim 11 further comprising the step of determining which electronic images of the taxpayer source documents are duplicates and which electronic images of the taxpayer source documents are new taxpayer source documents. 13. The method of processing a taxpayer source document of claim 12 further comprising supplementing the proforma data with tax data extracted from the electronic image of the taxpayer source documents. | 0.903932 |
35. A printing system in accordance with claim 34, wherein the means for controlling includes: (a) means for sensing the position of individual sheets in the means for feeding which indicates when a sheet that has had its first side previously printed is in a position in the means for feeding to have its second side printed by the printing station; (b) means for sensing when the printing station has completed the printing of the first side of a sheet; and (c) means, responsive to said two means for sensing, for causing the sheet which has had its first side printed which is in a position to have its second side printed to be fed by the means for feeding to the printing station when the two means for sensing each sense the occurrence of a sheet, and for causing the means for causing the readout of words to readout the page stored in the page memory in the direction opposite to the direction in which the page stored in the page memory was readout by the means for causing the readout during the printing f the first side during the printing of the second side. | 35. A printing system in accordance with claim 34, wherein the means for controlling includes: (a) means for sensing the position of individual sheets in the means for feeding which indicates when a sheet that has had its first side previously printed is in a position in the means for feeding to have its second side printed by the printing station; (b) means for sensing when the printing station has completed the printing of the first side of a sheet; and (c) means, responsive to said two means for sensing, for causing the sheet which has had its first side printed which is in a position to have its second side printed to be fed by the means for feeding to the printing station when the two means for sensing each sense the occurrence of a sheet, and for causing the means for causing the readout of words to readout the page stored in the page memory in the direction opposite to the direction in which the page stored in the page memory was readout by the means for causing the readout during the printing f the first side during the printing of the second side. 36. A printing system in accordance with claim 35, wherein: (a) the font storage means has a page memory for storing a plurality of pages of information in an encoded format; (b) the raster storage means has a first page memory for storing a page of information to be printed by the printing means and a second page memory for storing a page of information to be printed by the printing means; (c) the first page memory and the second page memory are alternately loaded with a page of information while a page of information stored in the other of the first page memory and the second page memory is being readout during printing by the means for causing the readout; and (d) the means for causing the readout of the word is coupled to the first page memory, the second page memory and a raster form storage memory so as to permit readout of the contents of first page memory, the second page memory and the raster form storage memory in either the first direction or second direction. | 0.726494 |
1. An apparatus for wireless communications, said apparatus comprising: a module configured to, when a mobile communications device has been set to a first mode in which said mobile communications device accepts text input instead of speech input, receive text that has been entered by a user of said mobile communications device and to convert the received text to a synthesized speech signal during a call in which a second communications device is configured to receive speech packets, wherein said mobile communications device is settable to a second mode in which said mobile communications device accepts speech input instead of text input; a vocoder configured to encode the synthesized speech signal to produce a plurality of corresponding speech packets; and a transceiver configured to transmit the plurality of corresponding speech packets over a wireless communications link to said second communications device, wherein said module includes a voice synthesizer configured to store characteristics of a voice of the user and to use said stored characteristics to produce the synthesized speech signal, wherein said apparatus is configured to transmit, via said transceiver, an audio notification informing said second communications device that speech from said mobile communications device following said audio notification will be converted from text, and wherein said apparatus is configured to transmit said audio notification prior to transmitting said plurality of corresponding speech packets. | 1. An apparatus for wireless communications, said apparatus comprising: a module configured to, when a mobile communications device has been set to a first mode in which said mobile communications device accepts text input instead of speech input, receive text that has been entered by a user of said mobile communications device and to convert the received text to a synthesized speech signal during a call in which a second communications device is configured to receive speech packets, wherein said mobile communications device is settable to a second mode in which said mobile communications device accepts speech input instead of text input; a vocoder configured to encode the synthesized speech signal to produce a plurality of corresponding speech packets; and a transceiver configured to transmit the plurality of corresponding speech packets over a wireless communications link to said second communications device, wherein said module includes a voice synthesizer configured to store characteristics of a voice of the user and to use said stored characteristics to produce the synthesized speech signal, wherein said apparatus is configured to transmit, via said transceiver, an audio notification informing said second communications device that speech from said mobile communications device following said audio notification will be converted from text, and wherein said apparatus is configured to transmit said audio notification prior to transmitting said plurality of corresponding speech packets. 7. The apparatus according to claim 1 , wherein said apparatus comprises a memory configured to store said audio notification, and wherein said audio notification is stored within said memory prior to said receiving said entered text. | 0.586398 |
20. The system of claim 18 , wherein the walker is further configured to: identify a left-to-right direction when a text part contains at least one character belonging to a left-to-right script but no characters belonging to a right-to-left script; and identify a right-to-left direction when a text part contains at least one character belonging to a right-to-left script but no characters belonging to a left-to-right script. | 20. The system of claim 18 , wherein the walker is further configured to: identify a left-to-right direction when a text part contains at least one character belonging to a left-to-right script but no characters belonging to a right-to-left script; and identify a right-to-left direction when a text part contains at least one character belonging to a right-to-left script but no characters belonging to a left-to-right script. 24. The system of claim 20 , wherein the bidirectional text checker is further configured to identify a mismatch when the intrinsic text direction is left-to-right and the declared text direction is right-to-left or when the intrinsic text direction is right-to-left and the declared text direction is left-to-right. | 0.829857 |
3. An information receiving apparatus, comprising: a node for carrying a data word; an interface comprising an input coupled to the node and an output for outputting an information signal, wherein the interface derives the information signal depending on whether the data word is a valid data word or an invalid data word, wherein the information signal has at least three states, a first state indicating that the data word is valid and at least two second states, each second state representing a separate command; wherein the input is an m-bit data word input for receiving an m-bit data word including an inversion signal and an n-bit data word, wherein the interface further comprises a determiner coupled to the m-bit data word input and adapted to derive the information signal depending on whether a number of 0s or 1s within bits of the m-bit data word is within a predetermined range. | 3. An information receiving apparatus, comprising: a node for carrying a data word; an interface comprising an input coupled to the node and an output for outputting an information signal, wherein the interface derives the information signal depending on whether the data word is a valid data word or an invalid data word, wherein the information signal has at least three states, a first state indicating that the data word is valid and at least two second states, each second state representing a separate command; wherein the input is an m-bit data word input for receiving an m-bit data word including an inversion signal and an n-bit data word, wherein the interface further comprises a determiner coupled to the m-bit data word input and adapted to derive the information signal depending on whether a number of 0s or 1s within bits of the m-bit data word is within a predetermined range. 5. The information receiving apparatus according to claim 3 , further comprising: a data word output for an actually transmitted data word; and a reconstructer coupled to the input of the interface and comprising a reconstruction output coupled to the data word output so that the actually transmitted n-bit data word is inverted or non-inverted relative to the n-bit data word depending on the inversion signal. | 0.644578 |
18. A non-transitory computer-readable medium having computer-readable instructions stored thereon, wherein the computer-readable instructions comprise: instructions to generate a plurality of word neurons; instructions to generate a plurality of sentence neurons; instructions to generate at least one document neuron, wherein the plurality of word neurons, the plurality of sentence neurons, and the at least one document neuron form at least a portion of a neural network; instructions to form a plurality of first connections between at least a portion of the plurality of word neurons and the plurality of sentence neurons; instructions to form a plurality of second connections between at least a portion of the plurality of word neurons and the at least one document neuron; instructions to excite a first sentence neuron of the plurality of sentence neurons in response to excitation of the at least one document neuron; and instructions to change a position of the plurality of word neurons on a display based on an input, and wherein the change in the position of one word neuron changes annotation corresponding to at least one of the plurality of sentence neurons. | 18. A non-transitory computer-readable medium having computer-readable instructions stored thereon, wherein the computer-readable instructions comprise: instructions to generate a plurality of word neurons; instructions to generate a plurality of sentence neurons; instructions to generate at least one document neuron, wherein the plurality of word neurons, the plurality of sentence neurons, and the at least one document neuron form at least a portion of a neural network; instructions to form a plurality of first connections between at least a portion of the plurality of word neurons and the plurality of sentence neurons; instructions to form a plurality of second connections between at least a portion of the plurality of word neurons and the at least one document neuron; instructions to excite a first sentence neuron of the plurality of sentence neurons in response to excitation of the at least one document neuron; and instructions to change a position of the plurality of word neurons on a display based on an input, and wherein the change in the position of one word neuron changes annotation corresponding to at least one of the plurality of sentence neurons. 21. The non-transitory computer-readable medium of claim 18 , further comprising instructions to change a relevance of word neurons relative to one other in response to a received input. | 0.50838 |
17. A computer program product for use in a federated environment in which a token service fulfills request by executing a trust chain comprising a set of modules, comprising: a non-transitory computer-readable medium having computer program instructions that, when executed by a data processing system, perform the following steps: responsive to receipt of a token, initiating processing of the module chain; during processing of the module chain, attempting to validate a value of a name-value pair based on a rule, wherein the rule is determined based on one or more invocation parameters of the module chain; and returning a response. | 17. A computer program product for use in a federated environment in which a token service fulfills request by executing a trust chain comprising a set of modules, comprising: a non-transitory computer-readable medium having computer program instructions that, when executed by a data processing system, perform the following steps: responsive to receipt of a token, initiating processing of the module chain; during processing of the module chain, attempting to validate a value of a name-value pair based on a rule, wherein the rule is determined based on one or more invocation parameters of the module chain; and returning a response. 21. The computer program product as described in claim 17 wherein, if the value of the name-value pair cannot be validated, the response is a condition authorization. | 0.698869 |
1. A method programmed in a non-transitory memory of a device comprising: a. capturing social networking information, including the social networking information of a user, from a social networking system; b. analyzing the social networking information of the user, including: i. determining interests of the user; and ii. storing the interests of the user in a data structure; c. processing the social networking information, including parsing the social networking information into parsed information; d. fact checking, with the device, the social networking information by comparing the parsed information with source information to generate fact checking results, including indicating when the parsed information is factually accurate and indicating when the parsed information is factually inaccurate; e. summarizing the social networking information to generate a summary of the social networking information, including determining total strengths of sentences within the social networking information, wherein a total strength of a sentence is based on a strength of a lexical chain, the interests of the user, and factual accuracy of the sentence based on the fact checking results generated by fact checking the social networking information, wherein summarizing the social networking information utilizes the interests of the user stored in the data structure by increasing the strength of the lexical chain when a word in the lexical chain matches at least one of the interests in the data structure, wherein lexical chaining includes selecting a set of candidate words or phrases, finding an appropriate chain using relatedness criteria among members of chains for each candidate word, and inserting a word in the lexical chain when the word is found, wherein the total strength of the sentence is increased when the sentence is factually accurate, wherein the summary of the social networking information includes the fact checking results; and f. providing the summary of the social networking information in real-time. | 1. A method programmed in a non-transitory memory of a device comprising: a. capturing social networking information, including the social networking information of a user, from a social networking system; b. analyzing the social networking information of the user, including: i. determining interests of the user; and ii. storing the interests of the user in a data structure; c. processing the social networking information, including parsing the social networking information into parsed information; d. fact checking, with the device, the social networking information by comparing the parsed information with source information to generate fact checking results, including indicating when the parsed information is factually accurate and indicating when the parsed information is factually inaccurate; e. summarizing the social networking information to generate a summary of the social networking information, including determining total strengths of sentences within the social networking information, wherein a total strength of a sentence is based on a strength of a lexical chain, the interests of the user, and factual accuracy of the sentence based on the fact checking results generated by fact checking the social networking information, wherein summarizing the social networking information utilizes the interests of the user stored in the data structure by increasing the strength of the lexical chain when a word in the lexical chain matches at least one of the interests in the data structure, wherein lexical chaining includes selecting a set of candidate words or phrases, finding an appropriate chain using relatedness criteria among members of chains for each candidate word, and inserting a word in the lexical chain when the word is found, wherein the total strength of the sentence is increased when the sentence is factually accurate, wherein the summary of the social networking information includes the fact checking results; and f. providing the summary of the social networking information in real-time. 14. The method of claim 1 wherein the sentences of the social networking information with factually inaccurate information are not utilized for generating the summary of the social networking information. | 0.885475 |
17. The system recited in claim 1 , wherein the content comprises rendering elements for defining user interfaces on the network enabled devices. | 17. The system recited in claim 1 , wherein the content comprises rendering elements for defining user interfaces on the network enabled devices. 21. The system recited in claim 17 , wherein the rendering elements comprise action elements for parameterizing actions performed by a user on the user interfaces. | 0.936153 |
8. A system for conducting an automated, telephonic speaker-independent speech recognition application according to claim 7 , wherein the training exercise for the respondent automatically generated by said speech recognition system is configured so as to include a prompt to the respondent to provide a prescribed response. | 8. A system for conducting an automated, telephonic speaker-independent speech recognition application according to claim 7 , wherein the training exercise for the respondent automatically generated by said speech recognition system is configured so as to include a prompt to the respondent to provide a prescribed response. 10. A system for conducting an automated, telephonic speaker-independent speech recognition application according to claim 8 , wherein the training exercise for the respondent is configured to automatically generate an end of call stage if it is determined that the respondent does not provide the prescribed response. | 0.899543 |
11. The method of claim 1 , further including: displaying on a computer system display a template instance representation corresponding to the template instance. | 11. The method of claim 1 , further including: displaying on a computer system display a template instance representation corresponding to the template instance. 12. The method of claim 11 , further including: displaying on the computer system display a template instance tree comprising a template instance node, wherein the template instance node represents the template instance. | 0.941004 |
5. A non-transitory computer-readable medium having stored thereon, a computer program having a plurality of code sections, said code sections executable by a machine for causing the machine to perform the steps of: identifying a selection at a user interface of a first associative object associated with a first set of electronic documents; identifying a selection at the user interface of a second associative object associated with a second set of electronic documents, the second associative object being of a different object type than the first associative object type; performing at least one predetermined operation performed using the first associative object and the second associative object to derive a document selection criteria; deriving a third set of electronic documents from said first set of electronic documents and said second set of electronic documents based upon the document selection criteria; and, presenting said third set of electronic documents within a display element of the user interface responsive to said deriving step, wherein said presenting step further comprising the step of: within a graphic that represents one electronic document of said third set of electronic documents, displaying a graphic representing at least one associative object associated with said one electronic document, wherein said first associative object is a digital seal, and wherein said second associative object is a container object. | 5. A non-transitory computer-readable medium having stored thereon, a computer program having a plurality of code sections, said code sections executable by a machine for causing the machine to perform the steps of: identifying a selection at a user interface of a first associative object associated with a first set of electronic documents; identifying a selection at the user interface of a second associative object associated with a second set of electronic documents, the second associative object being of a different object type than the first associative object type; performing at least one predetermined operation performed using the first associative object and the second associative object to derive a document selection criteria; deriving a third set of electronic documents from said first set of electronic documents and said second set of electronic documents based upon the document selection criteria; and, presenting said third set of electronic documents within a display element of the user interface responsive to said deriving step, wherein said presenting step further comprising the step of: within a graphic that represents one electronic document of said third set of electronic documents, displaying a graphic representing at least one associative object associated with said one electronic document, wherein said first associative object is a digital seal, and wherein said second associative object is a container object. 6. The non-transitory computer-readable medium of claim 5 , further comprising the steps of: identifying a selection of a portion of said third set of electronic documents; and, retrieving said portion from a storage system. | 0.5 |
12. A method according to claim 11 , wherein the locations associated with the attribute are addresses of inventors of the patents identified in the search results content. | 12. A method according to claim 11 , wherein the locations associated with the attribute are addresses of inventors of the patents identified in the search results content. 20. A method according to claim 12 , wherein the patent map is an interconnection map. | 0.926383 |
1. A method of preprocessing an image for optical character recognition (OCR), wherein the image comprises Arabic text and non-text items, the method comprising: determining a plurality of components associated with at least one of the Arabic text and the non-text items, wherein a component comprises a set of connected pixels; calculating a first set of characteristic parameters associated with the plurality of components; and merging the plurality of components based on the first set of characteristic parameters to form at least one of at least one sub-word and at least one word; calculating a second set of characteristic parameters associated with the at least one of each sub-word and each word, wherein the second set of characteristic parameters is one of a line height, a word spacing, and a line spacing; grouping at least two sub-words based on the second set of characteristic parameters to form one of at least one sub-word and at least one word; segmenting the at least one sub word and the at least one word into at least one horizontal line based on at least one of a line height and a line spacing; identifying at least one component associated with the at least one horizontal line comprising a height greater than a factor of the line height; determining a center of each horizontal line of the at least one horizontal line, wherein the center is a mid point between a top edge and a bottom edge of each horizontal line; calculating a distance between at least one of the center and the top edge, and the center and the bottom edge; and determining orientation of the image based on the distance. | 1. A method of preprocessing an image for optical character recognition (OCR), wherein the image comprises Arabic text and non-text items, the method comprising: determining a plurality of components associated with at least one of the Arabic text and the non-text items, wherein a component comprises a set of connected pixels; calculating a first set of characteristic parameters associated with the plurality of components; and merging the plurality of components based on the first set of characteristic parameters to form at least one of at least one sub-word and at least one word; calculating a second set of characteristic parameters associated with the at least one of each sub-word and each word, wherein the second set of characteristic parameters is one of a line height, a word spacing, and a line spacing; grouping at least two sub-words based on the second set of characteristic parameters to form one of at least one sub-word and at least one word; segmenting the at least one sub word and the at least one word into at least one horizontal line based on at least one of a line height and a line spacing; identifying at least one component associated with the at least one horizontal line comprising a height greater than a factor of the line height; determining a center of each horizontal line of the at least one horizontal line, wherein the center is a mid point between a top edge and a bottom edge of each horizontal line; calculating a distance between at least one of the center and the top edge, and the center and the bottom edge; and determining orientation of the image based on the distance. 5. The method of claim 1 , wherein determining the plurality of components comprises: performing a raster scan across the image; identifying a plurality of pixels associated with at least one of the plurality of components corresponding to at least one sweep of the raster scan; and aggregating the plurality of pixels based on an interconnection between the plurality of pixels to form at least one set of connected pixels. | 0.521654 |
1. A method for providing information for display on a user device, the method comprising: receiving a search request, the search request comprising a search argument; transmitting the search argument to a first search engine for the first search engine to search, based on the received search argument, a first database of network related information to generate at least one search result corresponding to information from the first database having network related information; transmitting the search argument to a second search engine for the second search engine to correlate the search argument and user profile data associated with a user of the user device to a particular advertisement in a second database of advertisement related information; receiving from the first search engine the at least one search result; receiving from the second search engine information corresponding to the particular advertisement; and transmitting information to the user device to enable the user device to display information from the first database of network related information corresponding to the at least one search result and, in an advertisement window, the particular advertisement. | 1. A method for providing information for display on a user device, the method comprising: receiving a search request, the search request comprising a search argument; transmitting the search argument to a first search engine for the first search engine to search, based on the received search argument, a first database of network related information to generate at least one search result corresponding to information from the first database having network related information; transmitting the search argument to a second search engine for the second search engine to correlate the search argument and user profile data associated with a user of the user device to a particular advertisement in a second database of advertisement related information; receiving from the first search engine the at least one search result; receiving from the second search engine information corresponding to the particular advertisement; and transmitting information to the user device to enable the user device to display information from the first database of network related information corresponding to the at least one search result and, in an advertisement window, the particular advertisement. 2. The method of claim 1 , wherein the user profile data includes selections of the user from previous search results. | 0.559291 |
1. A method, implemented at least in part by one or more computing devices, for joining extensible markup language (XML) documents, the method comprising: by the one or more computing devices: performing a comparison of XML elements of a plurality of XML documents, wherein the comparison comprises counting a number of occurrences of one or more comparison elements in each of a first XML document and a second XML document; determining that the number of occurrences of the one or more comparison elements in the first XML document is less than the number of occurrences of the one or more comparison elements in the second XML document; based on the determining, obtaining join-selection elements from the first XML document of the plurality of XML documents; using the join-selection elements, obtaining join-required elements from the second XML document of the plurality of XML documents, wherein the join-required elements are required to perform an XML join between the first and second XML documents; and performing the XML join using the first XML document and the join-required elements from the second XML document. | 1. A method, implemented at least in part by one or more computing devices, for joining extensible markup language (XML) documents, the method comprising: by the one or more computing devices: performing a comparison of XML elements of a plurality of XML documents, wherein the comparison comprises counting a number of occurrences of one or more comparison elements in each of a first XML document and a second XML document; determining that the number of occurrences of the one or more comparison elements in the first XML document is less than the number of occurrences of the one or more comparison elements in the second XML document; based on the determining, obtaining join-selection elements from the first XML document of the plurality of XML documents; using the join-selection elements, obtaining join-required elements from the second XML document of the plurality of XML documents, wherein the join-required elements are required to perform an XML join between the first and second XML documents; and performing the XML join using the first XML document and the join-required elements from the second XML document. 6. The method of claim 1 wherein the first XML document is at a first location and the second XML document is at a different second location, wherein the first and second locations are connected via a network. | 0.614491 |
9. The method of claim 1 , wherein evaluating the each task further comprises applying the task-based assessment metric to sample datasets from user activity logs to produce a first distribution and a second distribution corresponding to the tasks performed by a first search engine implementation and a second search engine implementation, respectively, and comparing the first distribution and the second distribution to generate a comparison result. | 9. The method of claim 1 , wherein evaluating the each task further comprises applying the task-based assessment metric to sample datasets from user activity logs to produce a first distribution and a second distribution corresponding to the tasks performed by a first search engine implementation and a second search engine implementation, respectively, and comparing the first distribution and the second distribution to generate a comparison result. 11. The method of claim 9 , further comprising comparing a mean difference associated with the first distribution and the second distribution with a standard error of the mean difference to compute a ratio indicating a performance difference, based on at least one of user satisfaction and user engagement, between the first search engine implementation and the second search engine implementation. | 0.7369 |
6. A system of indexing content, comprising: a processor; memory; and code stored in the memory that causes the processor at least to perform operations, the operations comprising: receive video content comprising an audio stream; convert the audio stream to a string of phonemes; convert each phoneme in the string of phonemes to an amplitude and a frequency component for each phonetic unit; store associations in a database between popular text search queries and corresponding popular amplitudes and frequencies; inspect amplitude and frequency components corresponding to the string of phonemes for each occurrence of a popular amplitude and frequency corresponding to a popular text query; retrieve a score for each popular amplitude and frequency component found in the amplitude and frequency components corresponding to the string of phonemes; sum each score of each occurrence of the popular amplitude and frequency component to obtain a total score for the audio stream; store associations in the database between titles of video content to total scores for audio streams; add an entry in the database that associates a title of the video content to the total score for the audio stream; receive a text query; query the database for the text query and a threshold score; retrieve the titles of video content matching the text query and having the total score at least equal to the threshold score; and respond to the text query with the titles of video content. | 6. A system of indexing content, comprising: a processor; memory; and code stored in the memory that causes the processor at least to perform operations, the operations comprising: receive video content comprising an audio stream; convert the audio stream to a string of phonemes; convert each phoneme in the string of phonemes to an amplitude and a frequency component for each phonetic unit; store associations in a database between popular text search queries and corresponding popular amplitudes and frequencies; inspect amplitude and frequency components corresponding to the string of phonemes for each occurrence of a popular amplitude and frequency corresponding to a popular text query; retrieve a score for each popular amplitude and frequency component found in the amplitude and frequency components corresponding to the string of phonemes; sum each score of each occurrence of the popular amplitude and frequency component to obtain a total score for the audio stream; store associations in the database between titles of video content to total scores for audio streams; add an entry in the database that associates a title of the video content to the total score for the audio stream; receive a text query; query the database for the text query and a threshold score; retrieve the titles of video content matching the text query and having the total score at least equal to the threshold score; and respond to the text query with the titles of video content. 9. The system according to claim 6 , wherein the code further causes the processor to: associate popular phoneme combinations occurring in the string of phonemes to popular words; and index the popular words to the content. | 0.5 |
16. The computer program product of claim 13 , wherein the set form of the policy expression includes a top-level ExactlyOne operator enclosing the plurality of policy alternatives and each policy alternative from the plurality of policy alternatives are enclosed by All operators. | 16. The computer program product of claim 13 , wherein the set form of the policy expression includes a top-level ExactlyOne operator enclosing the plurality of policy alternatives and each policy alternative from the plurality of policy alternatives are enclosed by All operators. 20. The computer program product of claim 16 , wherein computer-executable instructions that, when executed, cause the computing device to access a set form of a policy expression comprise wherein computer-executable instructions that, when executed, cause the computing device to access a normalized set form of the policy expression. | 0.941915 |
8. A non-transitory computer readable storage medium storing instructions which when executed by a computer cause the computer to perform a method for inferring activities associated with a user, the method comprising: receiving a cluster of locations that indicates a location trace of the user during a period of time and corresponding context; smoothing the location trace, which involves statistically removing a first subset of locations from the location cluster, and interpolating a second subset of locations into the location cluster; deriving a set of venues based on the location cluster from a venue database, wherein a visit to a respective venue is identified as a hypothetical visit responsive to the venue being located within a location range which includes the received location cluster and being associated with the corresponding context; deriving a set of activity types associated with the venues from a venue-to-activity mapping; associating attributes of the venues to the activity types based on the corresponding context; identifying a subset of the activity types of which the associated attributes are similar to a query context; assigning a weight to each identified activity type based on similarity between its attributes and the query context; and producing a probability distribution of various activity types based on the subset of the activity types and their weights, wherein the probability distribution predicts likelihoods that the user engages in each identified activity type associated with the query context and the location. | 8. A non-transitory computer readable storage medium storing instructions which when executed by a computer cause the computer to perform a method for inferring activities associated with a user, the method comprising: receiving a cluster of locations that indicates a location trace of the user during a period of time and corresponding context; smoothing the location trace, which involves statistically removing a first subset of locations from the location cluster, and interpolating a second subset of locations into the location cluster; deriving a set of venues based on the location cluster from a venue database, wherein a visit to a respective venue is identified as a hypothetical visit responsive to the venue being located within a location range which includes the received location cluster and being associated with the corresponding context; deriving a set of activity types associated with the venues from a venue-to-activity mapping; associating attributes of the venues to the activity types based on the corresponding context; identifying a subset of the activity types of which the associated attributes are similar to a query context; assigning a weight to each identified activity type based on similarity between its attributes and the query context; and producing a probability distribution of various activity types based on the subset of the activity types and their weights, wherein the probability distribution predicts likelihoods that the user engages in each identified activity type associated with the query context and the location. 9. The computer readable storage medium of claim 8 , wherein the context indicated by the location trace includes one or more of: a location; an indication of a time of a day or a time range; an indication of a day of a week or a range of days of a week; and an indication of a weather condition. | 0.632653 |
1. A method comprising: obtaining sensitive information for a user, wherein the sensitive information for the user includes a respective value at each of one or more places, each of the one or more values selected from a respective set of possible values for the corresponding place; obtaining a natural language key for the user, wherein the natural language key for the user includes one or more natural language tokens; generating decoding data for the sensitive information for the user, wherein generating the decoding data comprises: for each place in the sensitive information for the user: assigning a respective one of the natural language tokens in the natural language key for the user to the value at the place, and generating one or more respective dummy natural language tokens for each value of the respective set of possible values for the place other than the value at the place; and providing the decoding data for use in decoding the natural language key into the sensitive information. | 1. A method comprising: obtaining sensitive information for a user, wherein the sensitive information for the user includes a respective value at each of one or more places, each of the one or more values selected from a respective set of possible values for the corresponding place; obtaining a natural language key for the user, wherein the natural language key for the user includes one or more natural language tokens; generating decoding data for the sensitive information for the user, wherein generating the decoding data comprises: for each place in the sensitive information for the user: assigning a respective one of the natural language tokens in the natural language key for the user to the value at the place, and generating one or more respective dummy natural language tokens for each value of the respective set of possible values for the place other than the value at the place; and providing the decoding data for use in decoding the natural language key into the sensitive information. 14. The method of claim 1 , wherein generating a respective dummy natural language token comprises randomly sampling, without replacement, from a set of possible natural language tokens. | 0.654991 |
3. The character input method of claim 1 , further comprising: determining whether a key region indicated according to distance and direction of the drag event is the same as one of the key regions where the characters of the key region where the press event occurs are displayed; highlighting the indicated key region if it is determined that the key region is the same as one of the key regions; and if the release event occurs in the highlighted key region, outputting a character of the key region where the release event occurs onto, a predetermined input editor window of the touch screen. | 3. The character input method of claim 1 , further comprising: determining whether a key region indicated according to distance and direction of the drag event is the same as one of the key regions where the characters of the key region where the press event occurs are displayed; highlighting the indicated key region if it is determined that the key region is the same as one of the key regions; and if the release event occurs in the highlighted key region, outputting a character of the key region where the release event occurs onto, a predetermined input editor window of the touch screen. 5. The character input method of claim 3 , wherein the displaying of the characters of the key region where the press event occurs in the key regions based on one-to-one correspondence comprises displaying the characters of the key region where the press event occurs in second portions of the key regions except for first portions where the character groups of the key regions are displayed based on one-to-one correspondence. | 0.836766 |
1. A computer-readable medium storing computer-executable instructions that, when executed, cause a computer system to perform a method of providing contextual information automatically, the method comprising: receiving a Session Initiation Protocol message initiating an instant message conversation, the message containing an indication of contextual information in a header field of the message, the indication automatically added to the message when a first user initiates the conversation in association with the indicated contextual information; decoding the indication to determine an identifier for the contextual information; and providing a command to a second user for loading the contextual information indicated by the received message. | 1. A computer-readable medium storing computer-executable instructions that, when executed, cause a computer system to perform a method of providing contextual information automatically, the method comprising: receiving a Session Initiation Protocol message initiating an instant message conversation, the message containing an indication of contextual information in a header field of the message, the indication automatically added to the message when a first user initiates the conversation in association with the indicated contextual information; decoding the indication to determine an identifier for the contextual information; and providing a command to a second user for loading the contextual information indicated by the received message. 2. The computer-readable medium of claim 1 further comprising providing the command to the user when the user responds to a telephone call. | 0.5 |
15. A mobile computing device comprising at least one processing unit and a memory coupled to the at least one processing unit, the memory having at least one component comprising: a component operative to communicate a speech recognition request comprising audio input and speech recognition parameters including a lack of speech data to observe and receiving a plurality of speech recognition results returned as hypertext protocol (HTTP) responses comprising a status attribute indicating an overall success or failure of speech recognition on the audio input. | 15. A mobile computing device comprising at least one processing unit and a memory coupled to the at least one processing unit, the memory having at least one component comprising: a component operative to communicate a speech recognition request comprising audio input and speech recognition parameters including a lack of speech data to observe and receiving a plurality of speech recognition results returned as hypertext protocol (HTTP) responses comprising a status attribute indicating an overall success or failure of speech recognition on the audio input. 16. The device of claim 15 , wherein the component further operative to receive the HTTP responses in an XML document. | 0.918827 |
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