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9. A computer-readable medium that is not a transient signal per se, the computer-readable medium having computer-executable instructions stored thereon that, when executed, cause a computer system to perform operations comprising: storing data for providing communication services based upon identification of decision makers associated with communication services, the data comprising a user profile and default template identifying a default decision maker for a service; analyzing policy rules and the stored data; identifying a new decision maker for a particular service based upon the analysis of the policy rules and the stored data; determining an order of ownership model for the services selected from a group comprising a single owner, multiple owners with order of priority possibly including veto power for at least some issues, and multiple owners that agree at least on some specified issues; and providing the communication services to the identified new decision maker. | 9. A computer-readable medium that is not a transient signal per se, the computer-readable medium having computer-executable instructions stored thereon that, when executed, cause a computer system to perform operations comprising: storing data for providing communication services based upon identification of decision makers associated with communication services, the data comprising a user profile and default template identifying a default decision maker for a service; analyzing policy rules and the stored data; identifying a new decision maker for a particular service based upon the analysis of the policy rules and the stored data; determining an order of ownership model for the services selected from a group comprising a single owner, multiple owners with order of priority possibly including veto power for at least some issues, and multiple owners that agree at least on some specified issues; and providing the communication services to the identified new decision maker. 15. The computer-readable medium of claim 9 , the operations further including delegating authority of a decision maker according to a predetermined condition. | 0.682211 |
1. A computer implemented method comprising: accessing by one or more computer systems a plurality of keywords, each of the keywords comprising one or more words and describing one or more characteristics or features of particular advertising subject matter; annotating by a processor each of the keywords with one or more labels selected from a plurality of labels, each of the labels comprising one or more words and describing one or more aspects of or one or more categories or concepts represented by the keyword, wherein annotating each of the keywords with one or more labels comprises: for each of the keywords, when the keyword is able to be directly annotated, then directly annotating the keyword; and when the keyword is unable to be directly annotated, then: constructing a keyword document for the keyword; for each of the labels, constructing a label document for the label; and calculating a similarity between the keyword document corresponding to the keyword and the label document corresponding to the label as ∑ k = 1 k = n w wc i , k wc j , k wc i wc j , where: (1) n W denotes a total number of unique words in the keyword document and the label document; (2) wc i,k denotes a number of times a specific word, word k , occurs in the keyword document; (3) wc j,k denotes a number of times the specific word, word k , occurs in the label document; (4) wc i denotes a n W -vector consisting of the wc i,k ; and (5) wc j denotes a n W -vector consisting of the wc j,k ; and annotating the keyword based on the similarity between the keyword document corresponding to the keyword and the label document corresponding to each of the labels; grouping the keywords into one or more keyword groups based on similarities between the labels of the keywords, each of the keyword groups comprising one or more of the keywords; and forming one or more advertising groups from the keyword groups, comprising: from each of the keyword groups, forming one or more of the advertising groups, each of the advertising groups comprising one or more of the keywords in the keyword group. | 1. A computer implemented method comprising: accessing by one or more computer systems a plurality of keywords, each of the keywords comprising one or more words and describing one or more characteristics or features of particular advertising subject matter; annotating by a processor each of the keywords with one or more labels selected from a plurality of labels, each of the labels comprising one or more words and describing one or more aspects of or one or more categories or concepts represented by the keyword, wherein annotating each of the keywords with one or more labels comprises: for each of the keywords, when the keyword is able to be directly annotated, then directly annotating the keyword; and when the keyword is unable to be directly annotated, then: constructing a keyword document for the keyword; for each of the labels, constructing a label document for the label; and calculating a similarity between the keyword document corresponding to the keyword and the label document corresponding to the label as ∑ k = 1 k = n w wc i , k wc j , k wc i wc j , where: (1) n W denotes a total number of unique words in the keyword document and the label document; (2) wc i,k denotes a number of times a specific word, word k , occurs in the keyword document; (3) wc j,k denotes a number of times the specific word, word k , occurs in the label document; (4) wc i denotes a n W -vector consisting of the wc i,k ; and (5) wc j denotes a n W -vector consisting of the wc j,k ; and annotating the keyword based on the similarity between the keyword document corresponding to the keyword and the label document corresponding to each of the labels; grouping the keywords into one or more keyword groups based on similarities between the labels of the keywords, each of the keyword groups comprising one or more of the keywords; and forming one or more advertising groups from the keyword groups, comprising: from each of the keyword groups, forming one or more of the advertising groups, each of the advertising groups comprising one or more of the keywords in the keyword group. 8. The method of claim 1 , further comprising: constructing a classifier based on a plurality of training keywords and a plurality of training keyword documents, each of the training keywords comprising one or more words and uniquely corresponding to one of the training keyword documents, comprising: for each of the training keywords, annotating the training keyword with one or more of the labels based on the training keyword document corresponding to the training keyword; and for each of the labels annotating the training keyword, determining a correctness of the label; calculating a first index-wise product between a word count vector of the training keyword document corresponding to the training keyword and a word count vector of the label document corresponding to the label; and forming a pair of the correctness and the first index-wise product; and training the classifier using the pairs of the correctness and the first index-wise product; and for each of one or more of the keywords, for each of the labels annotating the keyword, calculating a second index-wise product between a word count vector of the keyword document corresponding to the keyword and a word count vector of the label document corresponding to the label; and predicting whether the label annotating the keyword is correct using the classifier with the second index-wise product as an input to the classifier. | 0.532357 |
8. A system for updating a classifier, comprising: a hardware processor that is configured to: receive a sample; assign a first importance weight to the sample based on a count of samples used to update the classifier; for each of a first plurality of weak learners, classify the sample using the weak learner, determine an outcome of the classification, and determine an updated error rate of the weak learner based on the outcome of the classification and the first importance weight; select a first weak learner from the first plurality of weak learners based on the updated error rate of the first weak learner; and update the classifier based on the first weak learner. | 8. A system for updating a classifier, comprising: a hardware processor that is configured to: receive a sample; assign a first importance weight to the sample based on a count of samples used to update the classifier; for each of a first plurality of weak learners, classify the sample using the weak learner, determine an outcome of the classification, and determine an updated error rate of the weak learner based on the outcome of the classification and the first importance weight; select a first weak learner from the first plurality of weak learners based on the updated error rate of the first weak learner; and update the classifier based on the first weak learner. 11. The system of claim 8 , wherein the first importance weight is determined based on a ratio between a ennui of negative samples used to update the classifier and a count of all samples used to update the classifier. | 0.859813 |
37. A computer system comprising: a client computing device, comprising one or more processors coupled to one or more memories, the one or more processors configured to: based on first content that has been opened within a content presentation application executing on the client computing device, the client computing device automatically selecting context information to submit to a server; responsive to automatically selecting the context information for submission to the server, the client computing device automatically sending the context information from the client computing device to the server; responsive to sending the context information to the server, the client computing device receiving a first search result from the server; responsive to activation input activating a search interface, displaying the search interface; after receiving the activation input, and prior to receiving any user input of a query term via the activated search interface, displaying the first search result within a preview section of the search interface; subsequent to displaying the first search result in the preview section, receiving user input entering one or more query terms via the search interface, the one or more query terms including at least one term that is not found in the context information; sending the one or more query terms to the server; responsive to sending the one or more query terms to the server, the client computing device receiving a second search result from the server; displaying the second search result in the search interface at the client computing device. | 37. A computer system comprising: a client computing device, comprising one or more processors coupled to one or more memories, the one or more processors configured to: based on first content that has been opened within a content presentation application executing on the client computing device, the client computing device automatically selecting context information to submit to a server; responsive to automatically selecting the context information for submission to the server, the client computing device automatically sending the context information from the client computing device to the server; responsive to sending the context information to the server, the client computing device receiving a first search result from the server; responsive to activation input activating a search interface, displaying the search interface; after receiving the activation input, and prior to receiving any user input of a query term via the activated search interface, displaying the first search result within a preview section of the search interface; subsequent to displaying the first search result in the preview section, receiving user input entering one or more query terms via the search interface, the one or more query terms including at least one term that is not found in the context information; sending the one or more query terms to the server; responsive to sending the one or more query terms to the server, the client computing device receiving a second search result from the server; displaying the second search result in the search interface at the client computing device. 39. The system of claim 37 , further comprising: a server computing device configured to provide the server, wherein the server is configured to identify the second search result based on both the one or more query terms and the context information; wherein the client computing device is further configured to perform automatically sending the context information to the server with the one or more query terms. | 0.5 |
1. A method comprising: incorporating a granularity description of a present location of a device into a local language model, the granularity description using topologically concentric locations to determine probabilities; combining the local language model with a global language model according to the probabilities, to yield a combined language model; and outputting, using the combined language model and via a spoken dialog system, audible spoken language results for a spoken query based on the present location and a term in the spoken query. | 1. A method comprising: incorporating a granularity description of a present location of a device into a local language model, the granularity description using topologically concentric locations to determine probabilities; combining the local language model with a global language model according to the probabilities, to yield a combined language model; and outputting, using the combined language model and via a spoken dialog system, audible spoken language results for a spoken query based on the present location and a term in the spoken query. 2. The method of claim 1 , wherein the granularity description uses business density to determine weights. | 0.762467 |
11. A non-transitory computer readable memory storing instructions configured to, in response to being executed by a computing device, cause the computing device to perform operations for translating user input into at least one word having multiple characters, the operations comprising: displaying a keyboard on a display, wherein the keyboard comprises multiple character indicators; receiving a sequence of user inputs; encoding the sequence of user inputs into a sequence of discrete input directions by selecting, from a set of predetermined primary directions, a discrete direction most closely matching, or exactly matching, each user input; and identifying, using the sequence of user inputs, at least one word in a stored dictionary, by matching the sequence of discrete input directions to one or more patterns corresponding to words stored in the dictionary; wherein each of the one or more patterns corresponding to a word specifies a sequence of discrete directions from the set of predetermined primary directions; wherein each discrete direction in each sequence of discrete directions specifies a relative directional relationship between; a position or area of the keyboard associated with a first character of a pair of sequential characters in the word corresponding to that pattern, and a position or area of the keyboard associated with a second character of the pair of sequential characters; and wherein matching the sequence of discrete input directions to the one or more patterns comprises finding matches between: items in the sequence of discrete input directions, and items in the sequence of discrete directions corresponding to each of the one or more patterns. | 11. A non-transitory computer readable memory storing instructions configured to, in response to being executed by a computing device, cause the computing device to perform operations for translating user input into at least one word having multiple characters, the operations comprising: displaying a keyboard on a display, wherein the keyboard comprises multiple character indicators; receiving a sequence of user inputs; encoding the sequence of user inputs into a sequence of discrete input directions by selecting, from a set of predetermined primary directions, a discrete direction most closely matching, or exactly matching, each user input; and identifying, using the sequence of user inputs, at least one word in a stored dictionary, by matching the sequence of discrete input directions to one or more patterns corresponding to words stored in the dictionary; wherein each of the one or more patterns corresponding to a word specifies a sequence of discrete directions from the set of predetermined primary directions; wherein each discrete direction in each sequence of discrete directions specifies a relative directional relationship between; a position or area of the keyboard associated with a first character of a pair of sequential characters in the word corresponding to that pattern, and a position or area of the keyboard associated with a second character of the pair of sequential characters; and wherein matching the sequence of discrete input directions to the one or more patterns comprises finding matches between: items in the sequence of discrete input directions, and items in the sequence of discrete directions corresponding to each of the one or more patterns. 14. The computer-readable memory of claim 11 , wherein at least one of the characters in the at least one word is not independently discernable from a corresponding user input without reference to the previous user inputs in the sequence of user inputs. | 0.726581 |
1. A computer-readable storage medium configured with data and with instructions that when executed by at least one processor causes the processor(s) to perform a process for compile-time bounds checking of user-defined types, namely, types which are not built-in, the process comprising the following steps performed during compilation of a program from a source code through an intermediate language code to an executable code: identifying in the source code a user-defined class for safely accessing memory, namely, a user-defined class having as an annotated member a memory-accessing code which is annotated with a user-defined-bounds check annotation comprising one or more of: a field-contains bound annotation indicating that a field in the user-defined class contains a bound for the memory-accessing method and a bound-getter method annotation indicating that the bound-getting method in the user-defined class returns a bound for the memory-accessing method, and also having as another annotated member a bound-providing member which is annotated to indicate that it provides bound information for generating a bounds check on the memory-accessing code, wherein the user-defined class is defined free of any multi-element array type as a constituent type; inserting into the intermediate language code a bounds-check representation of the user-defined-bounds check annotation; and applying an optimization which reduces duplicative bounds checking that would otherwise occur in the executable code. | 1. A computer-readable storage medium configured with data and with instructions that when executed by at least one processor causes the processor(s) to perform a process for compile-time bounds checking of user-defined types, namely, types which are not built-in, the process comprising the following steps performed during compilation of a program from a source code through an intermediate language code to an executable code: identifying in the source code a user-defined class for safely accessing memory, namely, a user-defined class having as an annotated member a memory-accessing code which is annotated with a user-defined-bounds check annotation comprising one or more of: a field-contains bound annotation indicating that a field in the user-defined class contains a bound for the memory-accessing method and a bound-getter method annotation indicating that the bound-getting method in the user-defined class returns a bound for the memory-accessing method, and also having as another annotated member a bound-providing member which is annotated to indicate that it provides bound information for generating a bounds check on the memory-accessing code, wherein the user-defined class is defined free of any multi-element array type as a constituent type; inserting into the intermediate language code a bounds-check representation of the user-defined-bounds check annotation; and applying an optimization which reduces duplicative bounds checking that would otherwise occur in the executable code. 5. The configured medium of claim 1 , wherein the identifying step identifies an annotation indicating user-defined bounds checking to supplement system-defined bounds checking of a built-in type. | 0.609736 |
8. A system for creating a multi-channel data call between a caller and an agent position at a destination number selected by a network subscriber, based on voice and data transport capability, wherein the destination number is one of a plurality of destination numbers selected by the subscriber identified by a common telephone number and each of the agent positions has an associated plurality of channels to which data calls may be connected, the system comprising: means for associating with a first phone call a plurality of discriminators common to both voice and data calls and an additional data rate discriminator for a data call corresponding to the data rate used by the caller, means for accessing a database in response to receiving the common telephone number from the caller for obtaining a destination number selected by the network subscriber for a data call, wherein the destination number selected by the network subscriber is based on the common discriminator and the data rate used by the caller, means for completing the first phone call by hunting the phone call to the agent position and for connecting the first phone call to one channel of the plurality of channels of the agent position, means for passing a discrete telephone number associated with the agent position to the caller over the one channel and for connecting a second phone call from the caller to another of the plurality of channels of the agent position. | 8. A system for creating a multi-channel data call between a caller and an agent position at a destination number selected by a network subscriber, based on voice and data transport capability, wherein the destination number is one of a plurality of destination numbers selected by the subscriber identified by a common telephone number and each of the agent positions has an associated plurality of channels to which data calls may be connected, the system comprising: means for associating with a first phone call a plurality of discriminators common to both voice and data calls and an additional data rate discriminator for a data call corresponding to the data rate used by the caller, means for accessing a database in response to receiving the common telephone number from the caller for obtaining a destination number selected by the network subscriber for a data call, wherein the destination number selected by the network subscriber is based on the common discriminator and the data rate used by the caller, means for completing the first phone call by hunting the phone call to the agent position and for connecting the first phone call to one channel of the plurality of channels of the agent position, means for passing a discrete telephone number associated with the agent position to the caller over the one channel and for connecting a second phone call from the caller to another of the plurality of channels of the agent position. 9. The system of claim 8 wherein the means for completing the first phone call by hunting the phone call to the agent position and for connecting the first phone call to one channel of the plurality of channels is part of an automatic call distribution center. | 0.866972 |
15. The computer-readable medium of claim 11 , having computer-executable instructions for causing a computer to perform the method comprising: identify the possible incorrect recognition within at least part of the initial recognition result using a classifier confidence process. | 15. The computer-readable medium of claim 11 , having computer-executable instructions for causing a computer to perform the method comprising: identify the possible incorrect recognition within at least part of the initial recognition result using a classifier confidence process. 17. The computer-readable medium of claim 15 , having computer-executable instructions for causing a computer to perform the method comprising: use the self-consistency process and the classifier confidence process to ignore the possible incorrect recognition. | 0.779976 |
2. The method of claim 1 , wherein the suffix of the partial query ends with an incomplete term. | 2. The method of claim 1 , wherein the suffix of the partial query ends with an incomplete term. 3. The method of claim 2 , wherein the suffix of at least one of the candidate queries includes a term which begins with the incomplete term in the suffix of the partial query. | 0.955393 |
14. A method performed by an apparatus for detecting grammatical errors, the apparatus including a processor to execute the method comprising: breaking up an input sentence into units of morphemes; generating morpheme sequences by binding the broken-up morphemes in an preset window size set by the processor, the generated morpheme sequences comprising forward morpheme sequences and backward morpheme sequences; determining frequencies of appearance of morpheme sequences identical to the forward morpheme sequences and backward morpheme sequences of the generated morpheme sequences by searching an example-based index database (DB); and detecting grammatical errors in the input sentence by combining the determined frequencies of appearance. | 14. A method performed by an apparatus for detecting grammatical errors, the apparatus including a processor to execute the method comprising: breaking up an input sentence into units of morphemes; generating morpheme sequences by binding the broken-up morphemes in an preset window size set by the processor, the generated morpheme sequences comprising forward morpheme sequences and backward morpheme sequences; determining frequencies of appearance of morpheme sequences identical to the forward morpheme sequences and backward morpheme sequences of the generated morpheme sequences by searching an example-based index database (DB); and detecting grammatical errors in the input sentence by combining the determined frequencies of appearance. 15. The method of claim 14 , wherein the generating of the morpheme sequences comprises generating (i) the forward morpheme sequences by binding morphemes arranged in a forward direction from the respective morphemes broken up from the input sentence in the preset window size, and (ii) the backward morpheme sequences by binding morphemes arranged in a backward direction from the respective morphemes broken up from the input sentence in the preset window size. | 0.782815 |
1. A method for defining a keypad on a touch sensitive surface, comprising: receiving a series of coordinates of a series of user touches on the touch sensitive surface; correlating a plurality of keys with the received series of coordinates; determining an average of received coordinates correlated with each of the plurality of keys, wherein determining the average of received coordinates correlated with each of the plurality of keys comprises: calculating a variability of key-strike locations for each of the plurality of keys; determining when the calculated variability of key-strike locations for each of the plurality of keys has plateaued; and calculating an average of coordinate key strike locations for each of the plurality of keys once the variability of key strike locations has plateaued; saving the calculated average coordinates for each of the plurality of keys in keypad layout data; and generating an image of a virtual keypad using the keypad layout data. | 1. A method for defining a keypad on a touch sensitive surface, comprising: receiving a series of coordinates of a series of user touches on the touch sensitive surface; correlating a plurality of keys with the received series of coordinates; determining an average of received coordinates correlated with each of the plurality of keys, wherein determining the average of received coordinates correlated with each of the plurality of keys comprises: calculating a variability of key-strike locations for each of the plurality of keys; determining when the calculated variability of key-strike locations for each of the plurality of keys has plateaued; and calculating an average of coordinate key strike locations for each of the plurality of keys once the variability of key strike locations has plateaued; saving the calculated average coordinates for each of the plurality of keys in keypad layout data; and generating an image of a virtual keypad using the keypad layout data. 7. The method of claim 1 , wherein generating an image of the virtual keypad using the keypad layout data comprises: generating images of keys in the virtual keypad in locations based upon the average coordinates of each of the plurality of keys stored in the keypad layout data. | 0.656613 |
1. A method for displaying key statistics for a designed application in a user interface for an application design tool, the method comprising: providing a graphical user interface for a design tool via which a designer can design an application, wherein the design tool enables a designer to graphically create an application flow using a sequence of nodes that represent functions in the application; receiving an application design from a designer that is designed using the design tool; generating application code for the designed application, wherein generating the application code includes inserting a set of markers in the application code that demarks boundaries between nodes in the designed application; executing the application, wherein, for each instance of the application executed, a log is created in accordance with the markers such that data is logged for nodes traversed during the execution of the application; calculating statistics, based on the logged data, for one or more of the nodes; displaying the nodes in the graphical user interface to display the application flow; prompting the designer to enter threshold values for one or more statistics; identifying the nodes associated with statistics that satisfy the threshold requirements; and displaying statistical information, based on the calculated statistics, for only nodes associated with statistics that satisfy one or more threshold requirements, wherein the statistical information comprises at least one of (i) traffic at the node being greater than or equal to a specified amount or percentage of total traffic, (ii) disconnects at the node being greater than or equal to a specified amount or percentage of executions of the node, (iii) errors at the node being greater than or equal to a specified amount or percentage of executions of the node, and (iv) agent requests at the node being greater than or equal to a specified amount or percentage of executions of the node, and wherein nodes associated with statistics that do not satisfy the one or more threshold requirements are displayed without statistical information. | 1. A method for displaying key statistics for a designed application in a user interface for an application design tool, the method comprising: providing a graphical user interface for a design tool via which a designer can design an application, wherein the design tool enables a designer to graphically create an application flow using a sequence of nodes that represent functions in the application; receiving an application design from a designer that is designed using the design tool; generating application code for the designed application, wherein generating the application code includes inserting a set of markers in the application code that demarks boundaries between nodes in the designed application; executing the application, wherein, for each instance of the application executed, a log is created in accordance with the markers such that data is logged for nodes traversed during the execution of the application; calculating statistics, based on the logged data, for one or more of the nodes; displaying the nodes in the graphical user interface to display the application flow; prompting the designer to enter threshold values for one or more statistics; identifying the nodes associated with statistics that satisfy the threshold requirements; and displaying statistical information, based on the calculated statistics, for only nodes associated with statistics that satisfy one or more threshold requirements, wherein the statistical information comprises at least one of (i) traffic at the node being greater than or equal to a specified amount or percentage of total traffic, (ii) disconnects at the node being greater than or equal to a specified amount or percentage of executions of the node, (iii) errors at the node being greater than or equal to a specified amount or percentage of executions of the node, and (iv) agent requests at the node being greater than or equal to a specified amount or percentage of executions of the node, and wherein nodes associated with statistics that do not satisfy the one or more threshold requirements are displayed without statistical information. 7. The method of claim 1 , wherein the designed application is a web application. | 0.540535 |
15. The computer system according to claim 13 , wherein the computer system further comprises: an editing unit for describing a declarative description including multiple grammar descriptions; and an interpretation unit for identifying a combination of grammar descriptions included in the declarative description by parsing the declarative description, wherein the grammar descriptions include at least one of the grammar description types 1 (P 1 U P 2 ) and 2 (P 1 F P 2 ); wherein the parser generator generates a parser combination by combining parsers associated, respectively, with the grammar descriptions identified by the interpretation unit. | 15. The computer system according to claim 13 , wherein the computer system further comprises: an editing unit for describing a declarative description including multiple grammar descriptions; and an interpretation unit for identifying a combination of grammar descriptions included in the declarative description by parsing the declarative description, wherein the grammar descriptions include at least one of the grammar description types 1 (P 1 U P 2 ) and 2 (P 1 F P 2 ); wherein the parser generator generates a parser combination by combining parsers associated, respectively, with the grammar descriptions identified by the interpretation unit. 19. The computer system according to claim 15 , wherein the interpretation unit identifies a top-level combination of grammar descriptions in the declarative description. | 0.852717 |
1. A method, comprising: receiving a search request from a user; presenting a list of a plurality of structured queries based on the search request to a human assistant; receiving a selection of one of the plurality of structured queries from the human assistant; obtaining an answer from a source using the selected structured query, wherein the answer is responsive to the search request; and providing the answer to the user. | 1. A method, comprising: receiving a search request from a user; presenting a list of a plurality of structured queries based on the search request to a human assistant; receiving a selection of one of the plurality of structured queries from the human assistant; obtaining an answer from a source using the selected structured query, wherein the answer is responsive to the search request; and providing the answer to the user. 14. The method of claim 1 , further comprising: ranking the structured query based on a location associated with the search request by the selection. | 0.789916 |
7. A system for executing four-valued logic in a semantic network, the system comprising: a computing device comprising a central processing unit, a runtime stack and heap, a top down / bottom up parser, and a system clock; a logic system defined in memory of said computing device, said logic system having a NOT logical connective denoted as “ ” an AND logical connective denoted as “ ” and an OR logical connective denoted as “v,” wherein false values are represented with an “F” symbol, true values are represented by a “T” symbol, undefined values are represented by a “U” symbol, and defined values are represented by a “D” symbol, such that for a property P false values are in a set { P}, true values are in a set {P}, undefined values are in a set {}, and defined values are in a set {P, P}, wherein said logic system is proven complete and w-consistent by a set of statements comprising: F is T, T is F, U is D, D is U; F F is F, F T is F, F U is F, F D is F; T A F is F, T T is T, T A U is U, T D is D; U F is F, U T is U, U U is U, U D is F; D F is F, D T is D, D U is F, D D is D; F F is F, F T is T, F U is U, F D is D; T F is T, T T is T, T U is T, T D is T; U F is U, U T is T, U U is U, U D is T; and D F is D, D T is T, D U is T, D D is D; a non-transitory computer readable medium storing machine readable instructions for causing said computing device to perform the steps of generating a semantic network representing digitally stored information, said semantic network comprising a plurality of object nodes and a plurality of relationships between said plurality of object nodes, by: providing a first vector and a second vector in digital memory for each of said plurality of object nodes, each of said first vector and said second vector being a dynamically allocated array having a plurality of index positions each with a size of one bit; linearly encoding semantic information for an object node by storing two bits that together encode a false value, true value, undefined value, or defined value, a first bit of said two bits being stored at an index position within the first vector associated with the object node, and a second bit of said two bits being stored at the same index position within the second vector associated with the object node; linearly encoding syntactic information associated with said plurality of relationships in said digital memory; and testing of conditionals or quantifying variables in said semantic network during successive recursive steps in a predicate calculus using said logic system, the false values, true values, undefined values, and defined values in the semantic information associated with said plurality of object nodes, and the syntactic information associated with said plurality of relationships, wherein linear encoding of said semantic information and said syntactic information optimizes short term memory, maximizes long term storage, and optimizes communication and memory between different knowledge sources or processes. | 7. A system for executing four-valued logic in a semantic network, the system comprising: a computing device comprising a central processing unit, a runtime stack and heap, a top down / bottom up parser, and a system clock; a logic system defined in memory of said computing device, said logic system having a NOT logical connective denoted as “ ” an AND logical connective denoted as “ ” and an OR logical connective denoted as “v,” wherein false values are represented with an “F” symbol, true values are represented by a “T” symbol, undefined values are represented by a “U” symbol, and defined values are represented by a “D” symbol, such that for a property P false values are in a set { P}, true values are in a set {P}, undefined values are in a set {}, and defined values are in a set {P, P}, wherein said logic system is proven complete and w-consistent by a set of statements comprising: F is T, T is F, U is D, D is U; F F is F, F T is F, F U is F, F D is F; T A F is F, T T is T, T A U is U, T D is D; U F is F, U T is U, U U is U, U D is F; D F is F, D T is D, D U is F, D D is D; F F is F, F T is T, F U is U, F D is D; T F is T, T T is T, T U is T, T D is T; U F is U, U T is T, U U is U, U D is T; and D F is D, D T is T, D U is T, D D is D; a non-transitory computer readable medium storing machine readable instructions for causing said computing device to perform the steps of generating a semantic network representing digitally stored information, said semantic network comprising a plurality of object nodes and a plurality of relationships between said plurality of object nodes, by: providing a first vector and a second vector in digital memory for each of said plurality of object nodes, each of said first vector and said second vector being a dynamically allocated array having a plurality of index positions each with a size of one bit; linearly encoding semantic information for an object node by storing two bits that together encode a false value, true value, undefined value, or defined value, a first bit of said two bits being stored at an index position within the first vector associated with the object node, and a second bit of said two bits being stored at the same index position within the second vector associated with the object node; linearly encoding syntactic information associated with said plurality of relationships in said digital memory; and testing of conditionals or quantifying variables in said semantic network during successive recursive steps in a predicate calculus using said logic system, the false values, true values, undefined values, and defined values in the semantic information associated with said plurality of object nodes, and the syntactic information associated with said plurality of relationships, wherein linear encoding of said semantic information and said syntactic information optimizes short term memory, maximizes long term storage, and optimizes communication and memory between different knowledge sources or processes. 10. The system of claim 7 , wherein said top down / bottom up parser is configured to mark subsets of said plurality of object nodes as {S} for start, {Np} for a noun phrase, {Vp} for a verb phrase, or {Pp} for a prepositional phrase during natural language processing. | 0.526467 |
17. A method of a networked device comprising: applying an automatic content recognition algorithm to determine a content identifier of an audio-visual data; associating the content identifier with an advertisement data based on a semantic correlation between a meta-data of the advertisement provided by a content provider and the content identifier, wherein the advertisement data is generated through an advertising exchange server based on the content identifier of the audio-visual data and a public internet protocol address associated with an application requesting the advertisement data; accessing a pairing server when processing an identification data associated with a sandbox reachable service of the networked device that shares a public address with a client device, wherein the pairing server performs a discovery lookup of any device that has announced sharing of the public address associated with the client device, and wherein the sandbox reachable service announces itself to the pairing server prior to establishment of a communication session between a sandboxed application executing on the client device and the sandbox reachable service; appending a header of a hypertext transfer protocol to permit the networked device to communicate with the sandboxed application as a permitted origin domain through a CORS algorithm, wherein the header is either one of a origin header when the CORS algorithm is applied and a referrer header in an alternate algorithm, and wherein the client device: processes an identification data associated with the sandbox reachable service sharing the public address with the client device, determines a private address pair of the sandbox reachable service based on the identification data, and establishes the communication session between the sandboxed application and the sandbox reachable service using a cross-site scripting technique of a security sandbox, wherein the sandboxed application queries a MAC address of the sandbox reachable service in a common private network, wherein the sandbox reachable service optionally verifies that the sandboxed application is in the common private network, wherein the sandbox reachable service communicates a MAC address of the sandboxed application to the sandboxed application when the common private network is shared, wherein the sandboxed application stores the MAC address of the sandboxed application and a unique identifier derived from the MAC address of the sandboxed application, and wherein the sandboxed application communicates the MAC address and the unique identifier to the pairing server; and automatically regenerating a script embedded in at least one of the client device, a supply-side platform, and a data provider integrated with the supply side platform when the common private network is shared by the sandboxed application and sandbox reachable service based on the MAC address of the sandboxed application and the unique identifier communicated to the pairing server. | 17. A method of a networked device comprising: applying an automatic content recognition algorithm to determine a content identifier of an audio-visual data; associating the content identifier with an advertisement data based on a semantic correlation between a meta-data of the advertisement provided by a content provider and the content identifier, wherein the advertisement data is generated through an advertising exchange server based on the content identifier of the audio-visual data and a public internet protocol address associated with an application requesting the advertisement data; accessing a pairing server when processing an identification data associated with a sandbox reachable service of the networked device that shares a public address with a client device, wherein the pairing server performs a discovery lookup of any device that has announced sharing of the public address associated with the client device, and wherein the sandbox reachable service announces itself to the pairing server prior to establishment of a communication session between a sandboxed application executing on the client device and the sandbox reachable service; appending a header of a hypertext transfer protocol to permit the networked device to communicate with the sandboxed application as a permitted origin domain through a CORS algorithm, wherein the header is either one of a origin header when the CORS algorithm is applied and a referrer header in an alternate algorithm, and wherein the client device: processes an identification data associated with the sandbox reachable service sharing the public address with the client device, determines a private address pair of the sandbox reachable service based on the identification data, and establishes the communication session between the sandboxed application and the sandbox reachable service using a cross-site scripting technique of a security sandbox, wherein the sandboxed application queries a MAC address of the sandbox reachable service in a common private network, wherein the sandbox reachable service optionally verifies that the sandboxed application is in the common private network, wherein the sandbox reachable service communicates a MAC address of the sandboxed application to the sandboxed application when the common private network is shared, wherein the sandboxed application stores the MAC address of the sandboxed application and a unique identifier derived from the MAC address of the sandboxed application, and wherein the sandboxed application communicates the MAC address and the unique identifier to the pairing server; and automatically regenerating a script embedded in at least one of the client device, a supply-side platform, and a data provider integrated with the supply side platform when the common private network is shared by the sandboxed application and sandbox reachable service based on the MAC address of the sandboxed application and the unique identifier communicated to the pairing server. 18. The method of claim 17 , wherein at least one of: a provider of the content identifier receives a compensation when the advertisement data is associated with the audio-visual data based on the public internet protocol address associated with the application requesting the advertisement data, the content provider appends at least one of a set of content identifiers from associated clients and a viewing history from the associated clients to a plurality of advertisements and resells the advertisement data back to an advertising exchange based on the appended content identifiers, a capture infrastructure annotates the audio-visual data with at least one of a brand name and a product name by comparing entries in a master database with at least one of a closed captioning data of the audio-visual data and through an application of an optical character recognition algorithm in the audio-visual data, the sandboxed application of the client device requests access to at least one of a microphone and a camera on the client device to capture a raw audio/video data, the capture infrastructure processes the raw audio/video data with the at least one of the brand name and the product name by comparing entries in the master database with at least one of the raw audio/video data and through an application of a sensory recognition algorithm of the raw audio/video data, advertisement targeting is improved when the script is embedded in the at least one of the client device, the supply-side platform, and the data provider integrated with the supply-side platform to execute arbitrary cross-site scripts in the sandboxed application of the client device, the content identifier is obfuscated to be relevant to a particular demand-side platform to eliminate a need to query the provider of the content identifier on a per advertisement spot basis, the demand-side platform submits requests to the advertising exchange based on a constraint type rather than through a bidding methodology on the per advertisement spot basis, the content identifier is at least one of a music identification, an object identification, a facial identification, and a voice identification, a minimal functionality comprising accessing at least one of a tuner and a stream decoder that identifies at least one of a channel and a content is found in the networked device, the networked device produces at least one of an audio fingerprint and a video fingerprint that are communicated with the capture infrastructure, the capture infrastructure compares the at least one of the audio fingerprint and the video fingerprint with the master database, the capture infrastructure annotates the audio-visual data with a logo name by comparing the entries in the master database with a logo data of the audio-visual data identified using a logo detection algorithm, the capture infrastructure automatically divides the audio-visual data into a series of scenes based on a semantic grouping of actions in the audio-visual data, the audio-visual data is analyzed in advance of a broadcast to determine content identifiers associated with each commercial in the audio-visual data to enable pre-insertion of advertisements into the audio-visual data prior to the broadcast, the capture infrastructure applies a time-order algorithm to automatically match the advertisements to the audio-visual data when a correlation pattern is identified by the capture infrastructure with other audio-visual content previously analyzed, the capture infrastructure includes a buffer that is saved to a persistent storage and for which a label is generated to facilitate identification of reoccurring sequences, a post processing operation is at least one of automated through a post-processing algorithm and a crowd-sourced operation using a plurality of users in which a turing test is applied to determine a veracity of an input, a device pairing algorithm is used in which a cookie data associated with a web page visited by a user stored on a browser on the client device is paired with the networked device when the client device is communicatively coupled with the networked device, a transitive public IP matching algorithm is utilized in which at least one of the client device and the networked device communicates each public IP address with any paired entity to the capture infrastructure, a tag that is unconstrained from a same-origin policy is used to automatically load an advertisement in the browser, and the tag is at least one of an image tag, a frame, an iframe, and a script tag. | 0.539961 |
1. A method for processing a non-volatile memory designed to store words containing data bits and control bits allowing error correction with an error correction code, the method comprising: storing information in a memory plane including writing in the memory plane at least one modified digital word modified with respect to at least one initial digital word not having any erroneous bit, said at least one modified digital word containing a bit at a position and having a modified value with respect to the value of a corresponding bit in the at least one initial digital word, other bits of the at least one modified digital word having values identical to corresponding bits in the initial digital word, the position of the modified bit in said at least one modified digital word defining a value of digital information. | 1. A method for processing a non-volatile memory designed to store words containing data bits and control bits allowing error correction with an error correction code, the method comprising: storing information in a memory plane including writing in the memory plane at least one modified digital word modified with respect to at least one initial digital word not having any erroneous bit, said at least one modified digital word containing a bit at a position and having a modified value with respect to the value of a corresponding bit in the at least one initial digital word, other bits of the at least one modified digital word having values identical to corresponding bits in the initial digital word, the position of the modified bit in said at least one modified digital word defining a value of digital information. 3. The method according to claim 1 , in which storing information in the memory plane comprises writing in the memory plane a plurality of modified digital words respectively modified with respect to a plurality of initial digital words not having any erroneous bit, each modified digital word containing a bit having a modified value with respect to the value of a corresponding bit in the corresponding initial digital word, other bits of the modified digital word having values identical to those of corresponding bits in the corresponding initial digital word, the respective positions of the modified bits in the modified digital words defining together a value of digital information. | 0.5 |
1. An apparatus for segmenting video and audio into clips, comprising: a first audio buffer that receives source audio and keeps a predetermined time length audio signal of speaker from the start of source audio; a speaker model training unit that retrieves the audio signal from the first audio buffer, instantly trains a speaker model and outputs the speaker model; a hybrid model memory that stores hybrid model which is trained by use of speakers' audio signals, music audio signals, advertising audio signals, and audio signals of interviewing news video; a speaker signal segment recognition unit that retrieves the audio signal from the first audio buffer and a second audio buffer, the speaker model and the hybrid model, determines speaker clips of source audio and outputs the speaker clips, wherein the speaker clips are determined by calculating the similarity between the audio signal and the speaker model and the similarity between the audio signal and the hybrid model, respectively, subtracting the later similarity from the previous similarity, and selecting clips with the similarity which is larger than a threshold, wherein the second audio buffer keeps the audio signal during the time of training speaker model and determines speaker clips; a speaker model renewing unit that receives the speaker clips, trains and renews the speaker model and outputs the speaker model; and a threshold determining unit that receives the speaker clips, outputs the threshold and determines the threshold, which increases along with the length of the speaker clips. | 1. An apparatus for segmenting video and audio into clips, comprising: a first audio buffer that receives source audio and keeps a predetermined time length audio signal of speaker from the start of source audio; a speaker model training unit that retrieves the audio signal from the first audio buffer, instantly trains a speaker model and outputs the speaker model; a hybrid model memory that stores hybrid model which is trained by use of speakers' audio signals, music audio signals, advertising audio signals, and audio signals of interviewing news video; a speaker signal segment recognition unit that retrieves the audio signal from the first audio buffer and a second audio buffer, the speaker model and the hybrid model, determines speaker clips of source audio and outputs the speaker clips, wherein the speaker clips are determined by calculating the similarity between the audio signal and the speaker model and the similarity between the audio signal and the hybrid model, respectively, subtracting the later similarity from the previous similarity, and selecting clips with the similarity which is larger than a threshold, wherein the second audio buffer keeps the audio signal during the time of training speaker model and determines speaker clips; a speaker model renewing unit that receives the speaker clips, trains and renews the speaker model and outputs the speaker model; and a threshold determining unit that receives the speaker clips, outputs the threshold and determines the threshold, which increases along with the length of the speaker clips. 3. The apparatus for segmenting video and audio into clips of claim 1 , wherein the video and audio clips comprise news video and the speaker model is a news anchor model. | 0.710438 |
9. A non-transitory computer storage medium encoded with a computer program, the program comprising instructions that when executed by data processing apparatus cause the data processing apparatus to perform operations comprising: determining whether a site-specific script for extracting financial data from a particular financial institution website is available; in response to determining that a site-specific script for extracting financial data from the particular financial institution website is not available, generating a site map of web pages and web page segments in the financial institution website, wherein the site map is generated based at least in part on a statistical analysis of (i) web pages and (ii) web page segments that are not in the financial institution website; generating, based on the site map of the financial institution website, a site-specific script for extracting financial data from the financial institution website; and extracting, for one or more users, financial data from the particular financial institution website using the generated site-specific script. | 9. A non-transitory computer storage medium encoded with a computer program, the program comprising instructions that when executed by data processing apparatus cause the data processing apparatus to perform operations comprising: determining whether a site-specific script for extracting financial data from a particular financial institution website is available; in response to determining that a site-specific script for extracting financial data from the particular financial institution website is not available, generating a site map of web pages and web page segments in the financial institution website, wherein the site map is generated based at least in part on a statistical analysis of (i) web pages and (ii) web page segments that are not in the financial institution website; generating, based on the site map of the financial institution website, a site-specific script for extracting financial data from the financial institution website; and extracting, for one or more users, financial data from the particular financial institution website using the generated site-specific script. 10. The medium of claim 9 , wherein generating a site map of web pages and web page segments in the financial institution website, wherein the site map is generated based at least in part on a statistical analysis of (i) web pages and (ii) web page segments that are not in the financial institution website comprises: crawling the financial institution website to identify one or more web pages in the financial institution website and one or more web page segments in the one or more web pages in the financial institution website; determining, based on the statistical analysis, respective categorizations for the one or more identified web pages; and determining, based on the statistical analysis, respective categorizations for the one or more web page segments in the identified one or more web pages. | 0.5 |
26. A system comprising: one or more computers, the one or more computers implementing: a dataset tool to identify a comparison vector x having processed features and non-processed features, a first set of vectors, each vector in the first set of vectors having processed features and non-processed features corresponding to the processed features and non-processed features of the comparison vector x, and a candidate vector y from the first set of vectors; and a similarity tool to determine a similarity threshold, and a maximum similarity between the non-processed features of x and the non-processed features of y; wherein the dataset tool removes the vector y from the first set of vectors if the maximum similarity does not meet the similarity threshold. | 26. A system comprising: one or more computers, the one or more computers implementing: a dataset tool to identify a comparison vector x having processed features and non-processed features, a first set of vectors, each vector in the first set of vectors having processed features and non-processed features corresponding to the processed features and non-processed features of the comparison vector x, and a candidate vector y from the first set of vectors; and a similarity tool to determine a similarity threshold, and a maximum similarity between the non-processed features of x and the non-processed features of y; wherein the dataset tool removes the vector y from the first set of vectors if the maximum similarity does not meet the similarity threshold. 27. The system of claim 26 in which the dataset tool removes a subset of vectors from the first set of vectors based on the maximum similarity between the non-processed features of the vector x and the non-processed features of each vector in the first set. | 0.72824 |
16. A system for capturing human-readable text displayed on a unit dose package, said system comprising: an image capture device configured to capture an image of a unit dose package; a processor in communication with the image capture device; and a memory in communication with the processor, said memory storing an application executable by the processor, wherein the application is configured, upon execution, to determine, based at least in part on identification information associated with the unit dose package, a location on the unit dose package at which human-readable text is displayed and to decode the human-readable text at the determined location, wherein the memory further stores a mapping of the identification information associated with one or more unit dose packages to information describing the location on the corresponding unit dose package at which the human-readable text is displayed, wherein, in order to determine, based at least in part on the identification information, a location on the unit dose package at which the human-readable text is displayed, the application is configured, upon execution, to access the mapping. | 16. A system for capturing human-readable text displayed on a unit dose package, said system comprising: an image capture device configured to capture an image of a unit dose package; a processor in communication with the image capture device; and a memory in communication with the processor, said memory storing an application executable by the processor, wherein the application is configured, upon execution, to determine, based at least in part on identification information associated with the unit dose package, a location on the unit dose package at which human-readable text is displayed and to decode the human-readable text at the determined location, wherein the memory further stores a mapping of the identification information associated with one or more unit dose packages to information describing the location on the corresponding unit dose package at which the human-readable text is displayed, wherein, in order to determine, based at least in part on the identification information, a location on the unit dose package at which the human-readable text is displayed, the application is configured, upon execution, to access the mapping. 27. The system of claim 16 , wherein, in order to decode the human-readable text, the application is further configured, upon execution, to translate the human-readable text into machine-readable text using optical character recognition. | 0.589355 |
1. A method for query processing, the method comprising: receiving a query, the query including a full text portion; compiling an invariant part of the full text portion of the query; storing the compiled invariant part of the full text portion; receiving additional queries; and executing the additional queries by reusing the compiled invariant part. | 1. A method for query processing, the method comprising: receiving a query, the query including a full text portion; compiling an invariant part of the full text portion of the query; storing the compiled invariant part of the full text portion; receiving additional queries; and executing the additional queries by reusing the compiled invariant part. 9. A method according to claim 1 further comprising generating a scalar query plan, wherein execution of the additional queries comprises executing the scalar query plan. | 0.734681 |
21. A system for retrieving task information using task-based indexes, the system comprising: a memory and a processor including computer-readable instructions for causing the system to: acquire a plurality of mutually exclusive task-based categories, where L is the number of task based categories; receive a plurality of text documents, where D is the number of text based documents; partition the text documents into a plurality of document sets, where N is the number of document sets, such that each task-based Category is associated with a document set, where each document set is comprised of at least one document having subparts and having task information described in the document; associate at least one task-descriptive symbol with each task-based category, index the documents in each document set to create an index having index words and pointers, where the index words reflect the task information in the documents or subparts of documents; correlate the task-descriptive symbols with the index words to create an alignment of words having similar meaning such that index words are matched with similar task-descriptive symbols; and form a plurality of task-based indexes by grouping the alignment of words with the respective task-based category, where M is the number of task-based indexes, and where L is equal to N, which is equal to M, which is less than or equal to D, such that retrieval of a document having task based information pertaining to the task descriptive symbols is a function of the task based index. | 21. A system for retrieving task information using task-based indexes, the system comprising: a memory and a processor including computer-readable instructions for causing the system to: acquire a plurality of mutually exclusive task-based categories, where L is the number of task based categories; receive a plurality of text documents, where D is the number of text based documents; partition the text documents into a plurality of document sets, where N is the number of document sets, such that each task-based Category is associated with a document set, where each document set is comprised of at least one document having subparts and having task information described in the document; associate at least one task-descriptive symbol with each task-based category, index the documents in each document set to create an index having index words and pointers, where the index words reflect the task information in the documents or subparts of documents; correlate the task-descriptive symbols with the index words to create an alignment of words having similar meaning such that index words are matched with similar task-descriptive symbols; and form a plurality of task-based indexes by grouping the alignment of words with the respective task-based category, where M is the number of task-based indexes, and where L is equal to N, which is equal to M, which is less than or equal to D, such that retrieval of a document having task based information pertaining to the task descriptive symbols is a function of the task based index. 28. A system for retrieving task information as set forth in claim 21 , wherein the task-based index is formed using ontology language tools by marking up the index with task categories. | 0.548387 |
1. A computer-implemented method, comprising: storing the data of a first version of a design document in a first version table within a memory of a computer associated with a second entity, the first version of the design document being sent from a computer associated with a first entity, the first version of the design document being produced at the computer associated with the first entity before the first version of the design document is sent from the computer associated with the first entity; storing the data of a second version of the design document in a second version table within the memory of the computer associated with the second entity, the second version of the design document being received from the computer associated with the first entity after first version of the design document was received from the computer associated with the first entity; and comparing the data of the second version table with the data of the first version table to detect a change in the data between the first version of the design document and the second version of the design document, if a change in the data is detected, setting the first version table to the second version table; using, at the computer associated with the second entity, a dictionary with correct data for the design document to correct and validate the data of the second version table to produce a corrected and validated internal version table; and storing the corrected and validated internal version table within the memory of the computer associated with the second entity such that the memory of the computer associated with the second entity includes the corrected and validated internal version table and the first version table at a given time. | 1. A computer-implemented method, comprising: storing the data of a first version of a design document in a first version table within a memory of a computer associated with a second entity, the first version of the design document being sent from a computer associated with a first entity, the first version of the design document being produced at the computer associated with the first entity before the first version of the design document is sent from the computer associated with the first entity; storing the data of a second version of the design document in a second version table within the memory of the computer associated with the second entity, the second version of the design document being received from the computer associated with the first entity after first version of the design document was received from the computer associated with the first entity; and comparing the data of the second version table with the data of the first version table to detect a change in the data between the first version of the design document and the second version of the design document, if a change in the data is detected, setting the first version table to the second version table; using, at the computer associated with the second entity, a dictionary with correct data for the design document to correct and validate the data of the second version table to produce a corrected and validated internal version table; and storing the corrected and validated internal version table within the memory of the computer associated with the second entity such that the memory of the computer associated with the second entity includes the corrected and validated internal version table and the first version table at a given time. 2. The method of claim 1 , further comprising initializing the first version table and the second version table by setting the data contained to null values. | 0.517327 |
1. A method for generating an Internetworking Operating System (IOS) Command Line Interface (CLI) configuration model using a processor, the processor executing the following method: representing a structure of an IOS CLI configuration base in a formal specification format, the IOS CLI configuration base providing cross-CLI dependencies that specify an ordering of components in the IOS CLI configuration base; representing mapping rules in the formal specification format for mapping the represented structure of the IOS CLI configuration base to a user-defined format; receiving an IOS user-defined configuration that is input by a user on the CLI for the IOS CLI configuration base; generating a machine-readable IOS CLI Dependency Tree (ICDT) from the represented structure of the IOS CLI configuration base, the ICDT being a dependency graph representing the components and the ordering of the cross-CLI dependencies, the ICDT being generated in the user-defined format using the represented mapping rules; and automatically generating a logical topology of the IOS CLI configuration model from the machine-readable ICDT and the IOS user-defined configuration by traversing the dependency graph to determine components in the dependency graph that are usable to configure the logical topology, wherein a logical connection between the determined components is based on the ordering in the dependency graph, the IOS CLI configuration model displaying the logical topology in the IOS user-defined configuration based on the mapping rules. | 1. A method for generating an Internetworking Operating System (IOS) Command Line Interface (CLI) configuration model using a processor, the processor executing the following method: representing a structure of an IOS CLI configuration base in a formal specification format, the IOS CLI configuration base providing cross-CLI dependencies that specify an ordering of components in the IOS CLI configuration base; representing mapping rules in the formal specification format for mapping the represented structure of the IOS CLI configuration base to a user-defined format; receiving an IOS user-defined configuration that is input by a user on the CLI for the IOS CLI configuration base; generating a machine-readable IOS CLI Dependency Tree (ICDT) from the represented structure of the IOS CLI configuration base, the ICDT being a dependency graph representing the components and the ordering of the cross-CLI dependencies, the ICDT being generated in the user-defined format using the represented mapping rules; and automatically generating a logical topology of the IOS CLI configuration model from the machine-readable ICDT and the IOS user-defined configuration by traversing the dependency graph to determine components in the dependency graph that are usable to configure the logical topology, wherein a logical connection between the determined components is based on the ordering in the dependency graph, the IOS CLI configuration model displaying the logical topology in the IOS user-defined configuration based on the mapping rules. 3. The method in accordance with claim 1 , wherein the IOS CLI configuration base comprises a Private Virtual Path (PVP) logical connection on an Asynchronous Transfer Mode (ATM) interface. | 0.534582 |
32. A system for securing data transmitted between a client device and a server comprising: a memory; and a controller configured to: obtain input text sent from the client device to the server; process said input text to obtain processed text, wherein said controller is configured to process said input text by: when the input text is not to be searchable by the server, transforming the input text non-deterministically or a combination of deterministically and non-deterministically, using at least one key, to obtain processed text; and when the input text is to be searchable by the server, transforming said input text deterministically, using at least one key to obtain processed text, and including a statistically significant feature in the processed text, the feature including a rarely used character or group of characters; and transmit the processed text to the server. | 32. A system for securing data transmitted between a client device and a server comprising: a memory; and a controller configured to: obtain input text sent from the client device to the server; process said input text to obtain processed text, wherein said controller is configured to process said input text by: when the input text is not to be searchable by the server, transforming the input text non-deterministically or a combination of deterministically and non-deterministically, using at least one key, to obtain processed text; and when the input text is to be searchable by the server, transforming said input text deterministically, using at least one key to obtain processed text, and including a statistically significant feature in the processed text, the feature including a rarely used character or group of characters; and transmit the processed text to the server. 54. The system of claim 32 , wherein said controller is configured to decide to transform a word of the input text non-deterministically based on a length of said word. | 0.679126 |
11. The computer-implemented method of claim 1 , wherein the server comprises a plurality of network servers including a login server and an application server, the login server being configured to receive the valid login request and the application server being configured to receive the request to execute the first network-based application, receive the user-entered text and apply the set of text-entry preferences to the user-entered text. | 11. The computer-implemented method of claim 1 , wherein the server comprises a plurality of network servers including a login server and an application server, the login server being configured to receive the valid login request and the application server being configured to receive the request to execute the first network-based application, receive the user-entered text and apply the set of text-entry preferences to the user-entered text. 13. The computer-implemented method of claim 11 , wherein the set of text-entry preferences is located on the application server. | 0.888454 |
7. The method of monitoring an electronic communication according to claim 6 , wherein: the step of electronically sampling the electronic communication comprises filtering to determine untrusted communication data from trusted communication data. | 7. The method of monitoring an electronic communication according to claim 6 , wherein: the step of electronically sampling the electronic communication comprises filtering to determine untrusted communication data from trusted communication data. 8. The method as claimed in claim 7 further comprising preconditioning the untrusted communication data so as to provide a set of expressions, and wherein the step of preconditioning comprises expanding each expression such that common alternative expressions are included in the set of expressions. | 0.925287 |
10. The method of claim 9 , further comprising: forming first gap vectors representing the common features of the signature strings; and forming a second gap vector representing the predetermined features of the input string. | 10. The method of claim 9 , further comprising: forming first gap vectors representing the common features of the signature strings; and forming a second gap vector representing the predetermined features of the input string. 12. The method of claim 10 , further comprising: forming feature masks using the first gap vectors, each feature mask representing a different one of the signature groups. | 0.898198 |
23. A device for multiplexing data words, comprising: a) an encoder for generating a plurality of data blocks, each block comprising data words and each data word containing data symbols derived from a data signal; b) a control unit for determining for one or more data blocks in dependence on at least one transmission constraint if the data words of said one or more data blocks are to be multiplexed in space-time or in space-frequency, wherein the transmission constraint comprises a data-related transmission constraint relating to a preservation of one or more periodic structures in the data signal; and c) a multiplexer for multiplexing the data words of the data blocks in accordance with the determination made by the control unit. | 23. A device for multiplexing data words, comprising: a) an encoder for generating a plurality of data blocks, each block comprising data words and each data word containing data symbols derived from a data signal; b) a control unit for determining for one or more data blocks in dependence on at least one transmission constraint if the data words of said one or more data blocks are to be multiplexed in space-time or in space-frequency, wherein the transmission constraint comprises a data-related transmission constraint relating to a preservation of one or more periodic structures in the data signal; and c) a multiplexer for multiplexing the data words of the data blocks in accordance with the determination made by the control unit. 27. The device according to claim 23 , wherein the at least one transmission constraint comprises a physical transmission constraint, wherein the physical transmission constraint is determined by assessing if the relationship t C >>N·T is fulfilled, wherein t C is the coherence time, N is the number of data symbols per data word and T is the duration of one of the data symbols. | 0.598503 |
22. A method for searching for media items using a voice-based digital assistant, comprising: at an electronic device with a processor and memory storing instructions for execution by the processor: providing a plurality of media items wherein at least some of the media items are each associated with a respective tag comprising at least one of a time tag, a date tag, or a geo-code tag; providing a natural language text string corresponding to a search query for one or more media items, wherein the search query includes one or more query terms; identifying, based on the search query, a first media item of the plurality of media items, wherein the media item is associated with user-generated information and wherein the user-generated information matches a query term of the one or more query terms; comparing the respective tags of the identified first media item to the respective tags of one or more other media items of the plurality of media items to identify a second media item, wherein the respective tags of the identified first media item are not generated based on the search query; and facilitating a presentation of the first media item and the second media item to a user. | 22. A method for searching for media items using a voice-based digital assistant, comprising: at an electronic device with a processor and memory storing instructions for execution by the processor: providing a plurality of media items wherein at least some of the media items are each associated with a respective tag comprising at least one of a time tag, a date tag, or a geo-code tag; providing a natural language text string corresponding to a search query for one or more media items, wherein the search query includes one or more query terms; identifying, based on the search query, a first media item of the plurality of media items, wherein the media item is associated with user-generated information and wherein the user-generated information matches a query term of the one or more query terms; comparing the respective tags of the identified first media item to the respective tags of one or more other media items of the plurality of media items to identify a second media item, wherein the respective tags of the identified first media item are not generated based on the search query; and facilitating a presentation of the first media item and the second media item to a user. 29. The method of claim 22 , wherein the user-generated information is part of a caption or a comment of a social network posting. | 0.566762 |
12. The method as defined in claim 9 , wherein the receiving step further includes a step of awarding at least one of a reward and points for at least one query submission by a user. | 12. The method as defined in claim 9 , wherein the receiving step further includes a step of awarding at least one of a reward and points for at least one query submission by a user. 13. The method as defined in claim 12 , wherein the awarding step further comprises notifying an accounting manager of the query submission. | 0.912698 |
11. The system of claim 10 , wherein the new API call name is generated by extracting a string subset of the API call name. | 11. The system of claim 10 , wherein the new API call name is generated by extracting a string subset of the API call name. 12. The system of claim 11 , wherein an API call address for the generated new API call is the same as an API call address for the received API call for the service. | 0.938347 |
2. The method of claim 1 further comprising processing the first result and the second result using a third speech model of a third model type to obtain a third result. | 2. The method of claim 1 further comprising processing the first result and the second result using a third speech model of a third model type to obtain a third result. 3. The method of claim 2 further comprising: selecting at least one of the first speech model and the first result, and the second speech model and the second result based on the third result; and updating a fourth model that is a system model based on the selecting. | 0.860271 |
1. A method for inputting text, comprising: at a computer system having one or more processors, a touch screen, and memory storing programs for execution by the one or more processors, displaying a virtual keyboard on the touch screen; detecting user touches on the virtual keyboard; in response to the user touches, generating text input to the computer system and displaying the text input as it is generated; detecting a swipe gesture on the touch screen, the swipe gesture including an initial touchdown point and a direction; determining the direction of the swipe gesture; determining a context based upon the text input, wherein the context includes one of the text input representing a partial word, a complete word, and a sentence; determining a type of the swipe gesture, wherein the type includes one of a single finger swipe gesture, a two finger swipe gesture, and a three finger swipe gesture; and performing a predetermined editing function in relation to the text input based on a respective combination of the determined direction, context and type of the swipe gesture, wherein each of a plurality of different respective combinations is associated with a different editing function and wherein the predetermined editing function is performed upon determination of the combination without further user input. | 1. A method for inputting text, comprising: at a computer system having one or more processors, a touch screen, and memory storing programs for execution by the one or more processors, displaying a virtual keyboard on the touch screen; detecting user touches on the virtual keyboard; in response to the user touches, generating text input to the computer system and displaying the text input as it is generated; detecting a swipe gesture on the touch screen, the swipe gesture including an initial touchdown point and a direction; determining the direction of the swipe gesture; determining a context based upon the text input, wherein the context includes one of the text input representing a partial word, a complete word, and a sentence; determining a type of the swipe gesture, wherein the type includes one of a single finger swipe gesture, a two finger swipe gesture, and a three finger swipe gesture; and performing a predetermined editing function in relation to the text input based on a respective combination of the determined direction, context and type of the swipe gesture, wherein each of a plurality of different respective combinations is associated with a different editing function and wherein the predetermined editing function is performed upon determination of the combination without further user input. 8. The method of claim 1 , further comprising: when the context is the text input representing a partial word, in response to a third distinct combination of the determined direction and type of the swipe gesture, deleting a last character of the text input. | 0.575568 |
5. The method of claim 3 wherein the test requires the user to utter an answer to at least one question. | 5. The method of claim 3 wherein the test requires the user to utter an answer to at least one question. 6. The method of claim 5 wherein the answer comprises a name of the user. | 0.868421 |
1. A method of enabling input into a handheld electronic device of a type including an input apparatus, an output apparatus, and a memory having stored therein an alphabet and a plurality of language objects, the alphabet comprising a core alphabet, an extended alphabet, and a plurality of linguistic elements, the core alphabet comprising at least some of the linguistic elements, the extended alphabet comprising at least a first linguistic element not in the core alphabet, the language objects each comprising a number of the linguistic elements, the input apparatus including a plurality of input members, at least some of the input members each having a plurality of the linguistic elements assigned thereto, the method comprising: storing the core alphabet in a static portion of the memory; storing the extended alphabet in a modifiable portion of the memory; detecting as an ambiguous input a number of actuations of a number of input members including a particular input member having assigned thereto the at least first linguistic element and at least one linguistic element in the core alphabet; producing a number of prefix objects each including a number of the linguistic elements of the ambiguous input, at least some of the prefix objects comprising the at least first linguistic element; for each of at least some of the prefix objects, seeking a word object corresponding with the prefix object; determining if a selection flag has been set based on a previous selection of a default prefix object; generating after determining the selection flag has been set, from the static portion of the memory, as a number of artificial variants a number of objects for which a corresponding word object does not exist, and each comprising a linguistic element of each input member of the ambiguous input; employing in said generating fewer than all of the linguistic elements assigned to the particular input member; and outputting at least two of the number of artificial variants that are formed only of characters that are found in the core alphabet. | 1. A method of enabling input into a handheld electronic device of a type including an input apparatus, an output apparatus, and a memory having stored therein an alphabet and a plurality of language objects, the alphabet comprising a core alphabet, an extended alphabet, and a plurality of linguistic elements, the core alphabet comprising at least some of the linguistic elements, the extended alphabet comprising at least a first linguistic element not in the core alphabet, the language objects each comprising a number of the linguistic elements, the input apparatus including a plurality of input members, at least some of the input members each having a plurality of the linguistic elements assigned thereto, the method comprising: storing the core alphabet in a static portion of the memory; storing the extended alphabet in a modifiable portion of the memory; detecting as an ambiguous input a number of actuations of a number of input members including a particular input member having assigned thereto the at least first linguistic element and at least one linguistic element in the core alphabet; producing a number of prefix objects each including a number of the linguistic elements of the ambiguous input, at least some of the prefix objects comprising the at least first linguistic element; for each of at least some of the prefix objects, seeking a word object corresponding with the prefix object; determining if a selection flag has been set based on a previous selection of a default prefix object; generating after determining the selection flag has been set, from the static portion of the memory, as a number of artificial variants a number of objects for which a corresponding word object does not exist, and each comprising a linguistic element of each input member of the ambiguous input; employing in said generating fewer than all of the linguistic elements assigned to the particular input member; and outputting at least two of the number of artificial variants that are formed only of characters that are found in the core alphabet. 2. The method of claim 1 , further comprising employing as said fewer than all of the linguistic elements the at least one linguistic element. | 0.831368 |
1. A method comprising: identifying, via a processor, segments of a dialog system based on a timing of probable user responses; exclusively activating a weighted grammar for a specific segment of dialog in the dialog system during the specific segment, to yield an activated weighted grammar; and recognizing user speech received during the specific segment of the dialog using the activated weighted grammar. | 1. A method comprising: identifying, via a processor, segments of a dialog system based on a timing of probable user responses; exclusively activating a weighted grammar for a specific segment of dialog in the dialog system during the specific segment, to yield an activated weighted grammar; and recognizing user speech received during the specific segment of the dialog using the activated weighted grammar. 4. The method of claim 1 , wherein exclusively activating the weighted grammar further comprises a initiating a transition period blending a previously activated grammar and the weighted grammar to be activated. | 0.776371 |
8. A method according to claim 1 , including the following steps before the obtaining step a) which steps are performed by a fourth processor unit: i) obtaining an initial electronic document; j) determining in said initial electronic document the at least one item of sensitive text data that is to be made secure; k) generating the secure data from said at least one item of sensitive text data; and l) processing said initial electronic document in order to obtain the secure electronic document by including in the initial electronic document the at least one marker associated with said secure data, and by deleting or masking the at least one item of sensitive text data. | 8. A method according to claim 1 , including the following steps before the obtaining step a) which steps are performed by a fourth processor unit: i) obtaining an initial electronic document; j) determining in said initial electronic document the at least one item of sensitive text data that is to be made secure; k) generating the secure data from said at least one item of sensitive text data; and l) processing said initial electronic document in order to obtain the secure electronic document by including in the initial electronic document the at least one marker associated with said secure data, and by deleting or masking the at least one item of sensitive text data. 9. A method according to claim 8 , wherein said processing step l) further comprises including said secure data in the initial electronic document. | 0.96875 |
15. An apparatus, comprising: one or more processors; and one or more memory devices for storing program instructions used by the one or more processors, wherein the program instructions, when executed by the one or more processors, cause the one or more processors to: access, at one or more computing devices, a document, identify a plurality of sentences in the document, each sentence identified based on punctuation in the document; and execute, for each of the sentences of the document and using the one or more computing devices, a document modification operation that causes the one or more processors to: generate a ranking score for each of a plurality of passages from external documents, wherein the ranking score is based at least on a degree of semantic similarity of each of the plurality of passages from the external documents with respect to the sentence of the document, modify the sentence to include a footnote link for the sentence-in the document, the footnote link including a link to the external document having a highest ranked passage therein if the ranking score of the highest ranked passage with respect to the sentence exceeds a threshold value, and skip modification of the sentence if the ranking score of the highest ranked passage with respect to the sentence does not exceed the threshold value. | 15. An apparatus, comprising: one or more processors; and one or more memory devices for storing program instructions used by the one or more processors, wherein the program instructions, when executed by the one or more processors, cause the one or more processors to: access, at one or more computing devices, a document, identify a plurality of sentences in the document, each sentence identified based on punctuation in the document; and execute, for each of the sentences of the document and using the one or more computing devices, a document modification operation that causes the one or more processors to: generate a ranking score for each of a plurality of passages from external documents, wherein the ranking score is based at least on a degree of semantic similarity of each of the plurality of passages from the external documents with respect to the sentence of the document, modify the sentence to include a footnote link for the sentence-in the document, the footnote link including a link to the external document having a highest ranked passage therein if the ranking score of the highest ranked passage with respect to the sentence exceeds a threshold value, and skip modification of the sentence if the ranking score of the highest ranked passage with respect to the sentence does not exceed the threshold value. 21. The apparatus of claim 15 , wherein modifying the sentence to include the footnote link further includes generating a pop-up interface element for the sentence in the document, the pop-up interface element displaying the highest ranked passage therein if the ranking score of the highest ranked passage with respect to the sentence exceeds the threshold value. | 0.574555 |
19. The non-transitory computer-readable medium of claim 18 , wherein the instructions for extracting media objects and further generating media object descriptions further comprise: segmenting the content of each multimedia type in the multimedia object into segments within the multimedia object by media segmentation processing; and generating at least one feature description for at least one of the segments by feature extraction and annotation, wherein the generated media object descriptions comprise the at least one feature description for the at least one of the segments. | 19. The non-transitory computer-readable medium of claim 18 , wherein the instructions for extracting media objects and further generating media object descriptions further comprise: segmenting the content of each multimedia type in the multimedia object into segments within the multimedia object by media segmentation processing; and generating at least one feature description for at least one of the segments by feature extraction and annotation, wherein the generated media object descriptions comprise the at least one feature description for the at least one of the segments. 22. The non-transitory computer-readable medium of claim 19 , wherein generating media object hierarchy descriptions generates semantic object hierarchy descriptions of the media object descriptions based on semantic feature relationships of media objects represented by the media object descriptions. | 0.64482 |
1. A computer-implemented method, comprising: determining, by one or more computer processors, that a particular computing device received a message that was transmitted to the particular computing device over a network; providing, by the one or more computer processors, the message to a first application program that is associated with the message; determining, by the one or more computer processors and based on a determination of whether a context of the particular computing device satisfies a particular criterion, whether to cause the particular computing device to present an audible notification that the particular computing device received the message; causing, by the one or more computer processors and responsive to determining that the context of the particular computing device satisfies the particular criterion, the particular computing device to present the audible notification that the particular computing device received the message; identifying, by the one or more computer processors, that the particular computing device is to wait, after the particular computing device has presented the audible notification, for an audible user response to the presentation of the audible notification; starting, by the one or more computer processors and responsive to the presentation of the audible notification and having identified that the particular computer device is to wait for the audible user response to the presentation of the audible notification, a first pre-defined time period during which the particular computing device is to listen for the audible user response to the presentation of the audible notification; recording, during the first pre-defined time period, a first audible user response to the presentation of the audible notification; determining, by the one or more processors, that the first audible user response includes one or more words that identify a command for the first application program to perform in response to the presentation of the audible notification; causing, by the one or more processors, the first application program to perform the command responsive to determining that the first audible user response includes the one or more words that identify the command for the first application program to perform; determining, by the one or more computer processors, that the particular computing device received a second message that was transmitted to the particular computing device over a network; providing, by the one or more computer processors, the second message to a second application program that is associated with the second message; causing, by the one or more computer processors, the particular computing device to present a second audible notification that the particular computing device received the second message; and starting, by the one or more computer processors and responsive to the presentation of the second audible notification, a second pre-defined time period during which the particular computing device is to listen for a second audible user response to the presentation of the second audible notification, wherein attributes of the particular computing device specify that the first application program is assigned the first pre-defined time period and that the second application program is assigned the second pre-defined time period, wherein the first pre-defined time period has a different length than a length of the second pre-defined time period. | 1. A computer-implemented method, comprising: determining, by one or more computer processors, that a particular computing device received a message that was transmitted to the particular computing device over a network; providing, by the one or more computer processors, the message to a first application program that is associated with the message; determining, by the one or more computer processors and based on a determination of whether a context of the particular computing device satisfies a particular criterion, whether to cause the particular computing device to present an audible notification that the particular computing device received the message; causing, by the one or more computer processors and responsive to determining that the context of the particular computing device satisfies the particular criterion, the particular computing device to present the audible notification that the particular computing device received the message; identifying, by the one or more computer processors, that the particular computing device is to wait, after the particular computing device has presented the audible notification, for an audible user response to the presentation of the audible notification; starting, by the one or more computer processors and responsive to the presentation of the audible notification and having identified that the particular computer device is to wait for the audible user response to the presentation of the audible notification, a first pre-defined time period during which the particular computing device is to listen for the audible user response to the presentation of the audible notification; recording, during the first pre-defined time period, a first audible user response to the presentation of the audible notification; determining, by the one or more processors, that the first audible user response includes one or more words that identify a command for the first application program to perform in response to the presentation of the audible notification; causing, by the one or more processors, the first application program to perform the command responsive to determining that the first audible user response includes the one or more words that identify the command for the first application program to perform; determining, by the one or more computer processors, that the particular computing device received a second message that was transmitted to the particular computing device over a network; providing, by the one or more computer processors, the second message to a second application program that is associated with the second message; causing, by the one or more computer processors, the particular computing device to present a second audible notification that the particular computing device received the second message; and starting, by the one or more computer processors and responsive to the presentation of the second audible notification, a second pre-defined time period during which the particular computing device is to listen for a second audible user response to the presentation of the second audible notification, wherein attributes of the particular computing device specify that the first application program is assigned the first pre-defined time period and that the second application program is assigned the second pre-defined time period, wherein the first pre-defined time period has a different length than a length of the second pre-defined time period. 10. The computer-implemented method of claim 1 , wherein: the first application program is associated with an attribute that specifies that the particular computer device is to wait, after the particular computing device has presented the audible notification, for the audible user response to the presentation of the audible notification, a third application program is associated with an attribute that specifies that the particular computer device is to not wait, after the particular computing device has presented a third audible notification to receipt of a third message, for an audible response to the presentation of the third audible notification, and the method further comprises: determining, by the one or more computer processors, that the particular computing device received the third message; providing, by the one or more computer processors, the third message to a third application program that is associated with the third message; causing, by the one or more computer processors, the particular computing device to present the third audible notification that the particular computing device received the third message; and identifying, by the one or more computer processors, that the particular computing device is to not wait for the audible user response to the presentation of the third audible notification. | 0.531907 |
1. An apparatus comprising: at least one processor; and at least one memory including computer program code, the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus at least to at least: receive an indication of markup language based content loaded at a browser; parse the content loaded at the browser for a context resource request in a context resource description language that provides a specification of information embedded within the received content, wherein the information of said context resource request provides an identification of properties requested at the browser in association with a service operating on the apparatus from which the content was loaded at the browser; and cause one or more of the requested properties to be managed on the apparatus with conflict resolution according to property settings and user permissions for provision to the service. | 1. An apparatus comprising: at least one processor; and at least one memory including computer program code, the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus at least to at least: receive an indication of markup language based content loaded at a browser; parse the content loaded at the browser for a context resource request in a context resource description language that provides a specification of information embedded within the received content, wherein the information of said context resource request provides an identification of properties requested at the browser in association with a service operating on the apparatus from which the content was loaded at the browser; and cause one or more of the requested properties to be managed on the apparatus with conflict resolution according to property settings and user permissions for provision to the service. 4. The apparatus of claim 1 , wherein the at least one memory and the computer program code are further configured to, with the at least one processor, cause the apparatus to enable the resolution of a conflict with respect to requested properties associated with different modes of service via conversion between the respective different modes of service. | 0.505527 |
1. An apparatus for information retrieval, comprising: a computer system including a computer processor being programmed to receive a query from a remotely located user system via a network, the query specifying one or more numerical data constraints, and contextual constraints; said computer system including a memory storing a computer-searchable electronic index, the index comprising a plurality of entries, each of the index entries representing an item of numerical data extracted from at least one of a plurality of electronic source documents including one or more natural language documents, wherein the item of numerical data comprises a numerical value, a prefix corresponding to a degree of significant digits, and a unit of measure; said computer system processor being further programmed to determine the relevancy of the query to each of one or more of the index entries based at least partly on a comparison between the numerical data constraint and the index entry's item of numerical data, at least partly on a comparison between the contextual constraint and contextual information extracted from the corresponding source document from which the index entry's item of numerical data was extracted, and at least partly on an evaluation of at least one positional relationship between the index entry's item of numerical data and the contextual information within a given source document, and generate a response to the query based on the relevancy. | 1. An apparatus for information retrieval, comprising: a computer system including a computer processor being programmed to receive a query from a remotely located user system via a network, the query specifying one or more numerical data constraints, and contextual constraints; said computer system including a memory storing a computer-searchable electronic index, the index comprising a plurality of entries, each of the index entries representing an item of numerical data extracted from at least one of a plurality of electronic source documents including one or more natural language documents, wherein the item of numerical data comprises a numerical value, a prefix corresponding to a degree of significant digits, and a unit of measure; said computer system processor being further programmed to determine the relevancy of the query to each of one or more of the index entries based at least partly on a comparison between the numerical data constraint and the index entry's item of numerical data, at least partly on a comparison between the contextual constraint and contextual information extracted from the corresponding source document from which the index entry's item of numerical data was extracted, and at least partly on an evaluation of at least one positional relationship between the index entry's item of numerical data and the contextual information within a given source document, and generate a response to the query based on the relevancy. 28. The information retrieval apparatus of claim 1 wherein the electronic source documents are accessible to the computer system via the network. | 0.586265 |
13. A system comprising: one or more computers; and a computer-readable medium coupled to the one or more computers having instructions stored thereon which, when executed by the one or more computers, cause the one or more computers to perform operations comprising: traversing a corpus of documents to identify a plurality of lists within the documents, wherein each list comprises structured data delimited from other data in a document, and wherein each list specifies an enumeration of elements; selecting a pair of terms based on determining that both terms of the pair are contained in a first quantity of lists that are included in the documents in the corpus, wherein the first quantity is more than a first predetermined quantity, and wherein each list in the first quantity of lists includes more than a second predetermined quantity of terms; determining a first value that represents a quantity of documents in the corpus that include a list that contains both terms of the pair; determining a second value that represents a quantity of the documents in the set corpus that include a list that contains at least one of the terms of the pair; when both terms of the pair are contained in the first quantity of lists that are included in the documents in the corpus, determining a correlation value from the first value and the second value; determining that the correlation value satisfies a threshold; and designating the pair of terms as potentially non-synonymous terms by adding the pair of terms to a blacklist, based on determining that the correlation value satisfies the threshold, wherein the blacklist is accessed for synonym determination. | 13. A system comprising: one or more computers; and a computer-readable medium coupled to the one or more computers having instructions stored thereon which, when executed by the one or more computers, cause the one or more computers to perform operations comprising: traversing a corpus of documents to identify a plurality of lists within the documents, wherein each list comprises structured data delimited from other data in a document, and wherein each list specifies an enumeration of elements; selecting a pair of terms based on determining that both terms of the pair are contained in a first quantity of lists that are included in the documents in the corpus, wherein the first quantity is more than a first predetermined quantity, and wherein each list in the first quantity of lists includes more than a second predetermined quantity of terms; determining a first value that represents a quantity of documents in the corpus that include a list that contains both terms of the pair; determining a second value that represents a quantity of the documents in the set corpus that include a list that contains at least one of the terms of the pair; when both terms of the pair are contained in the first quantity of lists that are included in the documents in the corpus, determining a correlation value from the first value and the second value; determining that the correlation value satisfies a threshold; and designating the pair of terms as potentially non-synonymous terms by adding the pair of terms to a blacklist, based on determining that the correlation value satisfies the threshold, wherein the blacklist is accessed for synonym determination. 18. The system of claim 13 , wherein determining a correlation value from the first value and the second value comprises calculating the correlation value by dividing the first value by the second value. | 0.588785 |
14. The article of manufacture of claim 9 wherein said meta regular expression is formed using a cross-platform language. | 14. The article of manufacture of claim 9 wherein said meta regular expression is formed using a cross-platform language. 16. The article of manufacture of claim 14 wherein said cross-platform language is Java. | 0.958883 |
1. A method, in a data processing system, for partial ingestion of content, the method comprising: identifying a set of features that contribute to generating candidate answers for input questions; identifying a set of annotation engines in the ingestion pipeline that contribute to each of the set of features and at least one annotation engine on which the one or more annotation engines depend; generating a sub-pipeline for each set of annotation engines to form a plurality of sub-pipelines of annotation engines; receiving new content to be ingested into a corpus of information; applying the plurality of sub-pipelines of annotation engines against the new content in order of effectiveness, wherein the plurality of sub-pipelines include all annotation engines of an ingestion pipeline and wherein each sub-pipeline within the plurality of sub-pipelines generates one or more intermediate output objects; and providing access to the one or more intermediate output objects, wherein the one or more intermediate output objects represent the partially ingested new content. | 1. A method, in a data processing system, for partial ingestion of content, the method comprising: identifying a set of features that contribute to generating candidate answers for input questions; identifying a set of annotation engines in the ingestion pipeline that contribute to each of the set of features and at least one annotation engine on which the one or more annotation engines depend; generating a sub-pipeline for each set of annotation engines to form a plurality of sub-pipelines of annotation engines; receiving new content to be ingested into a corpus of information; applying the plurality of sub-pipelines of annotation engines against the new content in order of effectiveness, wherein the plurality of sub-pipelines include all annotation engines of an ingestion pipeline and wherein each sub-pipeline within the plurality of sub-pipelines generates one or more intermediate output objects; and providing access to the one or more intermediate output objects, wherein the one or more intermediate output objects represent the partially ingested new content. 8. The method of claim 1 , wherein each sub-pipeline within the plurality of sub-pipelines deletes one or more intermediate output objects generated by a previous sub-pipeline. | 0.68119 |
1. In an interactive text processing system which includes a keyboard and a display unit and in which a document input by way of a keyboard is stored, displayed to an operator, and further processed in accordance with directions supplied to said system by an operator interacting with the keyboard and display unit, an improved method for copying one or more pages of text into a document from another part of the same document or from a different document, said method comprising: displaying to the operator the document into which one or more pages of text data is to be copied; signalling to the system the location within said document into which the text data is to be copied; specifying to the system the identification and location of said text data; scanning said specified text data for data control instructions contained within said specified text data specifying added text data to be included within said specified text data; adding said specified added text data to said specified text data prior to copying said specified text data into said document; and copying said specified text data as modified by said added text data into said document at the signalled location to provide a revised document. | 1. In an interactive text processing system which includes a keyboard and a display unit and in which a document input by way of a keyboard is stored, displayed to an operator, and further processed in accordance with directions supplied to said system by an operator interacting with the keyboard and display unit, an improved method for copying one or more pages of text into a document from another part of the same document or from a different document, said method comprising: displaying to the operator the document into which one or more pages of text data is to be copied; signalling to the system the location within said document into which the text data is to be copied; specifying to the system the identification and location of said text data; scanning said specified text data for data control instructions contained within said specified text data specifying added text data to be included within said specified text data; adding said specified added text data to said specified text data prior to copying said specified text data into said document; and copying said specified text data as modified by said added text data into said document at the signalled location to provide a revised document. 3. The method recited in claim 1 in which said data control instructions comprise INCLUDE instructions. | 0.503268 |
1. A computer-implemented method for performing a location search, comprising: at a computer system including one or more processors and memory storing one or more programs, the one or more processors executing the one or more programs to perform the operations of: receiving a location search query; identifying geographical feature documents that satisfy the location search query, wherein each of the geographical feature documents correspond to a geographical feature; and ranking the identified geographical feature documents in accordance with a score that is based, at least in part, on proximity of the geographical features corresponding to the identified geographical feature documents to a geographical viewport region of a client system, to produce a set of ranked geographical feature documents; and providing results, in accordance with the ranked geographical feature documents, that identify at least one geographic feature corresponding to the at least one of the ranked geographical feature documents. | 1. A computer-implemented method for performing a location search, comprising: at a computer system including one or more processors and memory storing one or more programs, the one or more processors executing the one or more programs to perform the operations of: receiving a location search query; identifying geographical feature documents that satisfy the location search query, wherein each of the geographical feature documents correspond to a geographical feature; and ranking the identified geographical feature documents in accordance with a score that is based, at least in part, on proximity of the geographical features corresponding to the identified geographical feature documents to a geographical viewport region of a client system, to produce a set of ranked geographical feature documents; and providing results, in accordance with the ranked geographical feature documents, that identify at least one geographic feature corresponding to the at least one of the ranked geographical feature documents. 9. The method of claim 1 , wherein the geographical feature documents are in an index that includes a plurality of geographical feature documents that correspond to geographic features. | 0.563445 |
28. The computer program product of claim 15 , wherein the computer program product is capable of cooperating with at least one mobile application adapted for accessing at least one of the different online applications utilizing a mobile device, said computer program product further being capable of allowing the at least one mobile application to provide at least a portion of a functionality of the at least one of the different online applications. | 28. The computer program product of claim 15 , wherein the computer program product is capable of cooperating with at least one mobile application adapted for accessing at least one of the different online applications utilizing a mobile device, said computer program product further being capable of allowing the at least one mobile application to provide at least a portion of a functionality of the at least one of the different online applications. 35. The computer program product of claim 28 , wherein the computer program product is operable such that the portion of the functionality includes user interface-related functionality. | 0.951699 |
36. The system of claim 35 : wherein a communication session is established between the sandboxed application and the sandbox reachable service by appending a header of a hypertext transfer protocol to permit the networked device to communicate with the sandboxed application as a permitted origin domain through a CORS algorithm, the header being either one of a origin header when the CORS algorithm is applied and a referrer header in an alternate algorithm, wherein the sandboxed application queries a MAC address of the sandbox reachable service in a common private network, wherein the sandbox reachable service optionally verifies that the sandboxed application is in the common private network, wherein the sandbox reachable service communicates a MAC address of the sandboxed application to the sandboxed application when the common private network is shared, wherein the sandboxed application stores the MAC address of the sandboxed application and a unique identifier derived from the MAC address of the sandboxed application, wherein the sandboxed application communicates the MAC address and the unique identifier to a pairing server of the system, and wherein the script embedded in the at least one of the client device, the supply-side platform, and the data provider integrated with the supply side platform is automatically regenerated when the common private network is shared by the sandboxed application and sandboxed reachable service based on the MAC address of the sandboxed application and the unique identifier communicated to the pairing server. | 36. The system of claim 35 : wherein a communication session is established between the sandboxed application and the sandbox reachable service by appending a header of a hypertext transfer protocol to permit the networked device to communicate with the sandboxed application as a permitted origin domain through a CORS algorithm, the header being either one of a origin header when the CORS algorithm is applied and a referrer header in an alternate algorithm, wherein the sandboxed application queries a MAC address of the sandbox reachable service in a common private network, wherein the sandbox reachable service optionally verifies that the sandboxed application is in the common private network, wherein the sandbox reachable service communicates a MAC address of the sandboxed application to the sandboxed application when the common private network is shared, wherein the sandboxed application stores the MAC address of the sandboxed application and a unique identifier derived from the MAC address of the sandboxed application, wherein the sandboxed application communicates the MAC address and the unique identifier to a pairing server of the system, and wherein the script embedded in the at least one of the client device, the supply-side platform, and the data provider integrated with the supply side platform is automatically regenerated when the common private network is shared by the sandboxed application and sandboxed reachable service based on the MAC address of the sandboxed application and the unique identifier communicated to the pairing server. 47. The system of claim 36 : wherein the sandboxed application is at least one of a web page, a script, a binary executable, an intermediate bytecode, an abstract syntax tree, and an executable application in the security sandbox, wherein the sandboxed application comprises at least one of a HTML5 application, a Javascript® application, an Adobe® Flash® application, a Microsoft® Silverlight® application, a JQuery® application, an Asynchronous Javascript® and an XML (AJAX) application, and wherein an access control algorithm governs a policy through which a secondary authentication is required when establishing the communication session between the sandboxed application and the networked device. | 0.855641 |
26. The method of claim 24 , wherein the at least one of the plurality of policies of the signature authority is indicated by a policy identifier. | 26. The method of claim 24 , wherein the at least one of the plurality of policies of the signature authority is indicated by a policy identifier. 30. The method of claim 26 wherein the policy identifier of the signature authority is included in a Reason entry of the signature field. | 0.969147 |
1. A computer-implemented method in a data processing hardware system including a processor, comprising: receiving a data processing instruction including an expression of a particular type; parsing the data processing instruction, using a template parser executing on the processor, by comparing the data processing instruction to a plurality of parsing templates; and determining, based upon the parsing, whether an evaluation template, from a plurality of evaluation templates, matches the data processing instruction based upon the particular type of the expression, wherein the evaluation template defines elements of a first type of expression used to control a conditional data processing operation, and the evaluation template is configured to generate optimized evaluation code for the expression of the first type. | 1. A computer-implemented method in a data processing hardware system including a processor, comprising: receiving a data processing instruction including an expression of a particular type; parsing the data processing instruction, using a template parser executing on the processor, by comparing the data processing instruction to a plurality of parsing templates; and determining, based upon the parsing, whether an evaluation template, from a plurality of evaluation templates, matches the data processing instruction based upon the particular type of the expression, wherein the evaluation template defines elements of a first type of expression used to control a conditional data processing operation, and the evaluation template is configured to generate optimized evaluation code for the expression of the first type. 3. The method of claim 1 , wherein the data processing instruction includes a JMS selection filter. | 0.675491 |
24. The process of claim 1 , further comprising the steps of: providing a plurality of interfaces comprising a plurality of selected positions within the region; and switching between the interfaces. | 24. The process of claim 1 , further comprising the steps of: providing a plurality of interfaces comprising a plurality of selected positions within the region; and switching between the interfaces. 25. The process of claim 24 , wherein the step of switching between the interfaces comprises a selection by the pointing device. | 0.927187 |
44. A system for providing a service for delivering information via voice media, comprising: a mechanism for allowing a user to select a plurality of sets of parameters for assigning automated voices to be used to deliver information associated with respective characteristics of the service; storage for storing the plurality of sets of parameters which are identifiable by data representing the user; an interface for receiving a communication from the user, the communication including a request involving delivery of information by said service, the data representing the user being obtained during the communication; a processor programmed to identify the plurality of sets of parameters based at least on the data; and a server responsive to the request for delivering selected information to the user in one of a plurality of automated voices as identified by one of the plurality of user selected sets of parameters which is associated with the delivery of information from said respective portions of said service. | 44. A system for providing a service for delivering information via voice media, comprising: a mechanism for allowing a user to select a plurality of sets of parameters for assigning automated voices to be used to deliver information associated with respective characteristics of the service; storage for storing the plurality of sets of parameters which are identifiable by data representing the user; an interface for receiving a communication from the user, the communication including a request involving delivery of information by said service, the data representing the user being obtained during the communication; a processor programmed to identify the plurality of sets of parameters based at least on the data; and a server responsive to the request for delivering selected information to the user in one of a plurality of automated voices as identified by one of the plurality of user selected sets of parameters which is associated with the delivery of information from said respective portions of said service. 53. The system of claim 44 , wherein the communication includes a telephonic communication. | 0.574565 |
11. The method of claim 1 , wherein receiving from the first user the unstructured text query comprises receiving one or more characters of a character string as the first user at a client system enters the character string into a graphical user interface comprising a query field, and wherein the character string is entered by the first user into the query field. | 11. The method of claim 1 , wherein receiving from the first user the unstructured text query comprises receiving one or more characters of a character string as the first user at a client system enters the character string into a graphical user interface comprising a query field, and wherein the character string is entered by the first user into the query field. 13. The method of claim 11 , wherein the graphical user interface is displayed on a webpage associated with the online social network accessed by a browser client. | 0.845174 |
19. A computer system comprising: a processor; a memory connected to be accessed by said processor; an input device connected to said processor and said memory; an output device connected to said processor and said memory; a storage device connected to be accessed by said processor; and a set of instructions for writing an automated processing task, said set of instructions containing: first instructions for creating a recording of user input actions, wherein the user input actions are collected by a hook, and wherein the recording is generated by a filter function associated with the hook, said user input actions directed to commanding a computer to execute a processing task; second instructions for extracting, from said recording, a set of commands necessary to perform said automated processing task, wherein said automated processing task is an automated version of said processing task; third instructions for translating said set of commands to a workflow language to create a translated command set, wherein said translated command set is used to perform said automated processing task by said computer; fourth instructions for combining said translated command set with an additional translated command set to form a combined process, wherein the additional translated command set is created from a second recording of a second processing task; and fifth instructions for storing said translated command set in a storage device as a subroutine. | 19. A computer system comprising: a processor; a memory connected to be accessed by said processor; an input device connected to said processor and said memory; an output device connected to said processor and said memory; a storage device connected to be accessed by said processor; and a set of instructions for writing an automated processing task, said set of instructions containing: first instructions for creating a recording of user input actions, wherein the user input actions are collected by a hook, and wherein the recording is generated by a filter function associated with the hook, said user input actions directed to commanding a computer to execute a processing task; second instructions for extracting, from said recording, a set of commands necessary to perform said automated processing task, wherein said automated processing task is an automated version of said processing task; third instructions for translating said set of commands to a workflow language to create a translated command set, wherein said translated command set is used to perform said automated processing task by said computer; fourth instructions for combining said translated command set with an additional translated command set to form a combined process, wherein the additional translated command set is created from a second recording of a second processing task; and fifth instructions for storing said translated command set in a storage device as a subroutine. 20. The computer system of claim 19 , wherein said processor runs a windowed operating system. | 0.534845 |
9. The method of claim 7 , where associating the selected content with contextually relevant information includes: parsing the selected content; identifying one or more elements from the parsed content; comparing the one or more identified elements with a predetermined number of keywords; and associating the selected content with contextually relevant information if at least one element matches a keyword. | 9. The method of claim 7 , where associating the selected content with contextually relevant information includes: parsing the selected content; identifying one or more elements from the parsed content; comparing the one or more identified elements with a predetermined number of keywords; and associating the selected content with contextually relevant information if at least one element matches a keyword. 13. The method of claim 9 , wherein at least one element includes an image; and wherein comparing the one or more identified elements includes comparing the image with images associated with the keywords. | 0.845488 |
25. An apparatus configured to create an animation, the apparatus comprising: a script formatter configured to determine a domain format type of a web text that relates to a category of content of the web text, extract and classify elements from the web text according to the domain format type, and generate a domain format script according to the extracted and classified elements; an adaption engine configured to receive the domain format script, and generate a scenario script and animation elements according to the domain format script, the animation elements comprising media style information indicating a rhythm, or an atmosphere, or initial camera walks, or any combination thereof, of the animation; and a graphics engine configured to generate the animation using the scenario script and the animation elements. | 25. An apparatus configured to create an animation, the apparatus comprising: a script formatter configured to determine a domain format type of a web text that relates to a category of content of the web text, extract and classify elements from the web text according to the domain format type, and generate a domain format script according to the extracted and classified elements; an adaption engine configured to receive the domain format script, and generate a scenario script and animation elements according to the domain format script, the animation elements comprising media style information indicating a rhythm, or an atmosphere, or initial camera walks, or any combination thereof, of the animation; and a graphics engine configured to generate the animation using the scenario script and the animation elements. 28. The apparatus of claim 25 , wherein the script formatter is further configured to: generate the domain format script by processing the domain format script according to a first domain format type; and process the domain format script a second time according to a scenario domain format to further illustrate the extracted and classified elements. | 0.578466 |
1. A method for relating documents to a region of interest, the method comprising: linking a plurality of location references stored in memory to a plurality of documents by a server, the linking including: creating a location reference index which includes a location reference identifier for each location reference and a list of words within each location reference, querying the location reference index using words retrieved from one or more of the plurality of documents, and creating a document-location reference index using results from the query of the location reference index, records associated with each document of the document-location reference index including a document identifier, one or more location reference identifiers linked to the document, and a score for each location reference identifier linked to the document; and processing a document request after the linking, the processing including: selecting a sub-set of the plurality of location references associated with a region of interest, querying the document-location reference index using each of the location references of the selected sub-set of location references and the score for the each of location references, and selecting a subset of the plurality of documents associated with the sub-set of location references using results of the query of the document-location reference index. | 1. A method for relating documents to a region of interest, the method comprising: linking a plurality of location references stored in memory to a plurality of documents by a server, the linking including: creating a location reference index which includes a location reference identifier for each location reference and a list of words within each location reference, querying the location reference index using words retrieved from one or more of the plurality of documents, and creating a document-location reference index using results from the query of the location reference index, records associated with each document of the document-location reference index including a document identifier, one or more location reference identifiers linked to the document, and a score for each location reference identifier linked to the document; and processing a document request after the linking, the processing including: selecting a sub-set of the plurality of location references associated with a region of interest, querying the document-location reference index using each of the location references of the selected sub-set of location references and the score for the each of location references, and selecting a subset of the plurality of documents associated with the sub-set of location references using results of the query of the document-location reference index. 8. The method of claim 1 , wherein the selected location references have geographical positioning data corresponding to a position within the region of interest. | 0.552326 |
10. The recommendation system as claimed in claim 8 , wherein the converting module is configured to determine whether the sparsity of the j th user data is greater than a j th threshold, and map the j th entity recorded in each of the j th user data to at least one of the k th entity recorded in each of the k th user data in a case that the sparsity of the j th user data is greater than the j th threshold. | 10. The recommendation system as claimed in claim 8 , wherein the converting module is configured to determine whether the sparsity of the j th user data is greater than a j th threshold, and map the j th entity recorded in each of the j th user data to at least one of the k th entity recorded in each of the k th user data in a case that the sparsity of the j th user data is greater than the j th threshold. 11. The recommendation system as claimed in claim 10 , wherein the converting module is configured to serve the j th user data as the k th user data in a case that the sparsity of the j th user data is not greater than the j th threshold. | 0.932256 |
1. A computer comprising a semantic network stored in its accessible memory, said semantic network comprising semantic network elements, the computer comprising: a first omission rule means; and a first index maintainer responsive to the first omission rule means, the omission rule means causing the first index maintainer to omit at least one link referencing a first node from a first index associated with the first node. | 1. A computer comprising a semantic network stored in its accessible memory, said semantic network comprising semantic network elements, the computer comprising: a first omission rule means; and a first index maintainer responsive to the first omission rule means, the omission rule means causing the first index maintainer to omit at least one link referencing a first node from a first index associated with the first node. 9. The computer of claim 1 , further comprising an omission rule learner configured to modify at least one omission rule. | 0.742468 |
15. A method for displaying usage history of a calculator, the calculator having a user interface, the method comprising: receiving a first mathematical expression in an expression entry area on the calculator: displaying a result in a first window on the calculator, wherein the result displayed in the first window comprises a result for the first mathematical expression; displaying, in a second window on the calculator, a usage history comprising the first mathematical expression, a second mathematical expression, and results, wherein the results displayed in the second window comprise the result for the first mathematical expression and a result for the second mathematical expression, wherein the usage history is displayed in a hierarchical tree such that a result for a given mathematical expression is displayed on a different hierarchical level than the given mathematical expression; and displaying organizational tabs for the second window, wherein each organizational tab is operable to display a given category of data associated with the usage history, wherein the hierarchical tree is expandable and collapsible, and wherein the hierarchical tree can be expanded and collapsed while the result is displayed in the first window. | 15. A method for displaying usage history of a calculator, the calculator having a user interface, the method comprising: receiving a first mathematical expression in an expression entry area on the calculator: displaying a result in a first window on the calculator, wherein the result displayed in the first window comprises a result for the first mathematical expression; displaying, in a second window on the calculator, a usage history comprising the first mathematical expression, a second mathematical expression, and results, wherein the results displayed in the second window comprise the result for the first mathematical expression and a result for the second mathematical expression, wherein the usage history is displayed in a hierarchical tree such that a result for a given mathematical expression is displayed on a different hierarchical level than the given mathematical expression; and displaying organizational tabs for the second window, wherein each organizational tab is operable to display a given category of data associated with the usage history, wherein the hierarchical tree is expandable and collapsible, and wherein the hierarchical tree can be expanded and collapsed while the result is displayed in the first window. 24. The method of claim 15 wherein at least one of the results displayed in the second window comprises a waveform and at least one of the first and second mathematical expressions comprises an expression represented by the waveform. | 0.577679 |
13. A computer program product for correcting semantic errors in code in an integrated development environment, said computer program product comprising: a non-transitory computer readable medium; first program instructions to receive code being developed by a developer in an integrated development environment, said first program instructions including instructions to construct, using a code parser, a syntax tree representation of said code inputted and to parse said code inputted and to identify one or more nodes, from said syntax tree representation, which contain semantic errors pertaining to use of a third-party library in said code inputted; second program instructions to display, using one or more matching collaboration records located for a node chosen from said one or more nodes identified containing said semantic errors, multiple suggestions for correcting said semantic errors identified in said syntax tree constructed for said code inputted, wherein each of said multiple suggestions include one or more code snippets associated with one or more collaboration records located for said node chosen, and wherein said one or more code snippets are submitted by peer developers to correct said semantic errors identified for said node chosen; third program instructions to execute said code inputted in said integrated development environment, wherein at least one code snippet selected from said one or more code snippets is automatically invoked to correct said semantic errors identified for said node chosen; and fourth program instructions to display a code snippet configuration interface for configuring said one or more code snippets, wherein the code snippet configuration interface comprises: an input parameter active field for identifying input parameters that are required, by said node chosen, to be used with said one or more code snippets; an output parameter active field for identifying output parameters that are required, by said node chosen, to be used with said one or more code snippets; an input/output parameter active field for identifying input/output parameters that are required, by said node chosen, to be used with said one or more code snippets; and a return value active field for identifying a return value that is required, by said node chosen, to be returned by said one or more code snippets; and wherein said first, second, third, and fourth program instructions are stored on said computer readable storage media. | 13. A computer program product for correcting semantic errors in code in an integrated development environment, said computer program product comprising: a non-transitory computer readable medium; first program instructions to receive code being developed by a developer in an integrated development environment, said first program instructions including instructions to construct, using a code parser, a syntax tree representation of said code inputted and to parse said code inputted and to identify one or more nodes, from said syntax tree representation, which contain semantic errors pertaining to use of a third-party library in said code inputted; second program instructions to display, using one or more matching collaboration records located for a node chosen from said one or more nodes identified containing said semantic errors, multiple suggestions for correcting said semantic errors identified in said syntax tree constructed for said code inputted, wherein each of said multiple suggestions include one or more code snippets associated with one or more collaboration records located for said node chosen, and wherein said one or more code snippets are submitted by peer developers to correct said semantic errors identified for said node chosen; third program instructions to execute said code inputted in said integrated development environment, wherein at least one code snippet selected from said one or more code snippets is automatically invoked to correct said semantic errors identified for said node chosen; and fourth program instructions to display a code snippet configuration interface for configuring said one or more code snippets, wherein the code snippet configuration interface comprises: an input parameter active field for identifying input parameters that are required, by said node chosen, to be used with said one or more code snippets; an output parameter active field for identifying output parameters that are required, by said node chosen, to be used with said one or more code snippets; an input/output parameter active field for identifying input/output parameters that are required, by said node chosen, to be used with said one or more code snippets; and a return value active field for identifying a return value that is required, by said node chosen, to be returned by said one or more code snippets; and wherein said first, second, third, and fourth program instructions are stored on said computer readable storage media. 14. The computer program product according to claim 13 , wherein said second program instructions further comprise instructions to provide a collaboration datastore for storing one or more collaboration records containing respective invocations for identifying said one or more nodes containing said semantic errors, wherein a collaboration record includes one or more properties, and wherein a respective invocation of said respective invocations includes a type of invocation and one or more parameters, and wherein said second program instructions further comprise instructions to provide a code snippet processor for maintaining said one or more code snippets associated with said one or more collaboration records located for said node chosen. | 0.522019 |
1. A method in a content recommendation system in a computer system having a computer processor, the method comprising: automatically providing quotation information by: by the computer processor, automatically extracting a quotation from a text document in a corpus of text documents indexed by the computing system; by the computer processor, automatically identifying one or more entities that are referenced by the text document, each of the identified entities being electronically represented by the content recommendation system, wherein identifying the one or more entities includes recognizing and disambiguating a document reference to an entity by applying named entity recognition techniques, such that the document reference is linked to a representation of the entity stored in an entity repository that is identified by a unique identifier, and wherein identifying the one or more entities includes linking together multiple mentions of a same entity across the text document to identify an entity that is a speaker of the quotation and wherein the multiple mentions of the same entity are identified by the unique identifier; by the computer processor, attributing the quotation to the speaker of the quotation by storing data that associates the quotation with the identified entity that is the speaker of the quotation; and by the computer processor, in response to a request, providing the quotation by transmitting data that indicates the quotation and the attributed speaker. | 1. A method in a content recommendation system in a computer system having a computer processor, the method comprising: automatically providing quotation information by: by the computer processor, automatically extracting a quotation from a text document in a corpus of text documents indexed by the computing system; by the computer processor, automatically identifying one or more entities that are referenced by the text document, each of the identified entities being electronically represented by the content recommendation system, wherein identifying the one or more entities includes recognizing and disambiguating a document reference to an entity by applying named entity recognition techniques, such that the document reference is linked to a representation of the entity stored in an entity repository that is identified by a unique identifier, and wherein identifying the one or more entities includes linking together multiple mentions of a same entity across the text document to identify an entity that is a speaker of the quotation and wherein the multiple mentions of the same entity are identified by the unique identifier; by the computer processor, attributing the quotation to the speaker of the quotation by storing data that associates the quotation with the identified entity that is the speaker of the quotation; and by the computer processor, in response to a request, providing the quotation by transmitting data that indicates the quotation and the attributed speaker. 10. The method of claim 1 wherein extracting the quotation includes identifying a speaker for a quotation by identifying a subject of a sentence in the text document. | 0.531934 |
1. A memory device to store instructions, the instructions comprising: one or more instructions that, when executed by a processor, cause the processor to: receive data in a first format, the data including first information associated with a first information type and second information associated with a second information type, and the first information type and the second information type being different; provide the data for display via a graphical interface; determine one or more translation rules, of a plurality of translation rules, associated with converting the data to a second format that is different from the first format; determine respective effects associated with applying the one or more translation rules to the first information type and to the second information type, the one or more translation rules affecting the first information type differently than the second information type; provide information associated with the respective effects for display via the graphical interface; determine that the first information is compatible with the second format and that the second information is incompatible with the second format; apply a first visual style to the first information to modify a display of the first information, the first visual style indicating that the first information is compatible with the second format, and the first visual style providing the first information in the second format for display via the graphical interface in conjunction with the first information in the first format; apply a second visual style to the second information to modify a display of the second information, the second visual style indicating that the second information is incompatible with the second format; and provide information identifying one or more rules for converting the second information into the second format. | 1. A memory device to store instructions, the instructions comprising: one or more instructions that, when executed by a processor, cause the processor to: receive data in a first format, the data including first information associated with a first information type and second information associated with a second information type, and the first information type and the second information type being different; provide the data for display via a graphical interface; determine one or more translation rules, of a plurality of translation rules, associated with converting the data to a second format that is different from the first format; determine respective effects associated with applying the one or more translation rules to the first information type and to the second information type, the one or more translation rules affecting the first information type differently than the second information type; provide information associated with the respective effects for display via the graphical interface; determine that the first information is compatible with the second format and that the second information is incompatible with the second format; apply a first visual style to the first information to modify a display of the first information, the first visual style indicating that the first information is compatible with the second format, and the first visual style providing the first information in the second format for display via the graphical interface in conjunction with the first information in the first format; apply a second visual style to the second information to modify a display of the second information, the second visual style indicating that the second information is incompatible with the second format; and provide information identifying one or more rules for converting the second information into the second format. 4. The memory device of claim 1 , where the one or more instructions to provide the information associated with the respective effects, when executed by the processor, further cause the processor to: determine a first portion of the data affected by a translation rule of the one or more translation rules and a second portion of the data unaffected by the translation rule; and provide the data for display via the graphical interface, the first portion of the data being presented using a visual style associated with the translation rule based on the first portion of the data being affected by the translation rule. | 0.611769 |
1. A method of enabling input into a handheld electronic device having a touch screen display, a processor, and having available therein a plurality of input method languages and a text disambiguation function that is structured to employ an operative one of the input method languages, the method comprising: detecting, as a first input from the touch screen display, selection of at least one linguistic element; outputting a first plurality of selectable language objects that correspond with the first input and associated with an operative input method language; outputting, at a location adjacent the first plurality of selectable language objects, a selectable indicator representative of the operative input method language; detecting as a second input, from the touch screen display concurrently displaying the first plurality of selectable language objects, selection of the selectable indicator; outputting a set of input method languages selectable as alternate operative input method languages based on the detection of the second input detecting an additional input as being a selection of an alternate input method language from the set of input method languages, wherein the additional input is from the touch screen display, which concurrently displays the first plurality of selectable language objects; and replacing the first plurality of selectable language objects with a second plurality of selectable language objects associated with the alternate input method language. | 1. A method of enabling input into a handheld electronic device having a touch screen display, a processor, and having available therein a plurality of input method languages and a text disambiguation function that is structured to employ an operative one of the input method languages, the method comprising: detecting, as a first input from the touch screen display, selection of at least one linguistic element; outputting a first plurality of selectable language objects that correspond with the first input and associated with an operative input method language; outputting, at a location adjacent the first plurality of selectable language objects, a selectable indicator representative of the operative input method language; detecting as a second input, from the touch screen display concurrently displaying the first plurality of selectable language objects, selection of the selectable indicator; outputting a set of input method languages selectable as alternate operative input method languages based on the detection of the second input detecting an additional input as being a selection of an alternate input method language from the set of input method languages, wherein the additional input is from the touch screen display, which concurrently displays the first plurality of selectable language objects; and replacing the first plurality of selectable language objects with a second plurality of selectable language objects associated with the alternate input method language. 3. The method of claim 1 , further comprising: detecting an additional input from the touch screen display as being a selection of a language object from the first plurality of selectable language objects; and outputting the selected language object as a text component. | 0.732742 |
7. The system of claim 6 , further comprising displaying said local overall rating on any of: said email and said pop-up window. | 7. The system of claim 6 , further comprising displaying said local overall rating on any of: said email and said pop-up window. 8. The system of claim 7 , wherein in response to said email having been rated further comprising: adding said rating to said local overall rating given to said sender by said receiver; and storing said local overall rating to a storage device. | 0.931488 |
9. The method recited in claim 7, in which the step of receiving a request further includes the step of receiving a request from the client, wherein the request includes a value of TRUE specified for a "selective" parameter. | 9. The method recited in claim 7, in which the step of receiving a request further includes the step of receiving a request from the client, wherein the request includes a value of TRUE specified for a "selective" parameter. 10. The method recited in claim 9, wherein the step of selecting a first node is performed in response to said request including said value of TRUE specified for said "selective" parameter. | 0.885264 |
20. A system, comprising: storage media; one or more processors; and one or more programs stored in the storage media and configured for execution by the one or more processors, the one or more programs comprising instructions for: in response to detecting a semantic organization event in a first graphical user interface content-view of a spreadsheet, determining whether semantic organization data associated with a first set of data cells of the spreadsheet should be stored, wherein the semantic organization data describes how the spreadsheet is organized; wherein the first set of data cells includes a plurality of columns; wherein the plurality of columns of the first set of data cells includes a plurality of data cell values; wherein the spreadsheet includes a header that collectively groups the plurality of columns within the spreadsheet; wherein the header and the plurality of data cell values are content input into the spreadsheet; wherein the semantic organization data includes the header; in response to determining that semantic organization data should be stored, storing semantic organization data associated with the first set of data cells; generating a preview thumbnail image based on the semantic organization data; displaying a graphical user interface semantic-view of the spreadsheet, wherein the graphical user interface semantic-view comprises the preview thumbnail image corresponding to the first set of data cells; and in response to detecting a selection of the preview thumbnail image corresponding to the first set of data cells, navigating to a display of the first set of data cells in a second graphical user interface content-view of the spreadsheet. | 20. A system, comprising: storage media; one or more processors; and one or more programs stored in the storage media and configured for execution by the one or more processors, the one or more programs comprising instructions for: in response to detecting a semantic organization event in a first graphical user interface content-view of a spreadsheet, determining whether semantic organization data associated with a first set of data cells of the spreadsheet should be stored, wherein the semantic organization data describes how the spreadsheet is organized; wherein the first set of data cells includes a plurality of columns; wherein the plurality of columns of the first set of data cells includes a plurality of data cell values; wherein the spreadsheet includes a header that collectively groups the plurality of columns within the spreadsheet; wherein the header and the plurality of data cell values are content input into the spreadsheet; wherein the semantic organization data includes the header; in response to determining that semantic organization data should be stored, storing semantic organization data associated with the first set of data cells; generating a preview thumbnail image based on the semantic organization data; displaying a graphical user interface semantic-view of the spreadsheet, wherein the graphical user interface semantic-view comprises the preview thumbnail image corresponding to the first set of data cells; and in response to detecting a selection of the preview thumbnail image corresponding to the first set of data cells, navigating to a display of the first set of data cells in a second graphical user interface content-view of the spreadsheet. 26. The system of claim 20 , wherein the semantic-view further comprises an introductory information field. | 0.622395 |
9. The machine-readable medium of claim 7 wherein computing a matrix decomposition using the cortical representation of the training set includes: forming a kernel matrix using the cortical representation of the training set; and computing an eigendecomposition of the kernel matrix, wherein the eigendecomposition is the matrix decomposition. | 9. The machine-readable medium of claim 7 wherein computing a matrix decomposition using the cortical representation of the training set includes: forming a kernel matrix using the cortical representation of the training set; and computing an eigendecomposition of the kernel matrix, wherein the eigendecomposition is the matrix decomposition. 10. The machine-readable medium of claim 9 wherein the kernel matrix is represented explicitly, the process further comprising: storing the kernel matrix. | 0.915604 |
22. A text input system, comprising: a direction selector operable in a coordinate system to point in a radial direction toward one or more linguistic object subcomponents; a predetermined or dynamic mapping between directions and linguistic object subcomponents; a collection of linguistic objects; an output device with a text display area; a processor, comprising an object evaluation component configured to identify at least one linguistic object based on a sequence of radial directions; and a selection component to facilitate user selection of a desired linguistic object wherein said object evaluation component matches said sequence of radial directions against predetermined sequences of directional values associated with each linguistic object and identifies at least one linguistic object whose associated directional values minimize the differences with said sequence of radial directions. | 22. A text input system, comprising: a direction selector operable in a coordinate system to point in a radial direction toward one or more linguistic object subcomponents; a predetermined or dynamic mapping between directions and linguistic object subcomponents; a collection of linguistic objects; an output device with a text display area; a processor, comprising an object evaluation component configured to identify at least one linguistic object based on a sequence of radial directions; and a selection component to facilitate user selection of a desired linguistic object wherein said object evaluation component matches said sequence of radial directions against predetermined sequences of directional values associated with each linguistic object and identifies at least one linguistic object whose associated directional values minimize the differences with said sequence of radial directions. 27. The system of claim 22 , where the object evaluation component is configured to identify the at least one linguistic object based upon the sequence of radial directions independent of other input. | 0.682498 |
1. A method, comprising: selecting an item from a plurality of items each having associated metadata attributes; displaying a first value of a first metadata attribute of the selected item; defining a first modifier that modifies the first value of the first metadata attribute; searching the plurality of items in accordance with the first value and the first modifier; and displaying a result of the searching. | 1. A method, comprising: selecting an item from a plurality of items each having associated metadata attributes; displaying a first value of a first metadata attribute of the selected item; defining a first modifier that modifies the first value of the first metadata attribute; searching the plurality of items in accordance with the first value and the first modifier; and displaying a result of the searching. 15. The method of claim 1 , wherein the step of displaying the first value includes displaying the first value of the first metadata attribute in addition to a title of the selected item. | 0.702878 |
1. A system for generating a dynamic creative for a plurality of individual interactions, the system comprising one or more memory devices containing instructions for the following: a module added to a third-party creation tool that allows selecting from a plurality of structures; the plurality of structures that are selectable from within the third-party creation tool, wherein each of the plurality of structures is configured: to switch between a plurality of alternative selections when the creative is run, for graphically-manipulated insertion into the creative, and for integration into a script representing the creative, wherein the script is run on an end user device and the creative dynamically changes according to the plurality of alternative selections when run, locally, on a plurality of end user devices; and a platform configured to: receive selection of a content group that correlates to the plurality of alternative selections, receive selection of a target group comprising a plurality of attributes describing viewers of the creative, determine that a viewer of the creative is in the target group, select, after a user request, an alternative selection from the plurality of alternative selections based on the determination that the viewer of the creative is in the target group, process the alternative selection with a structure from the plurality of structures to customize the creative to the alternative selection that is associated with the content group, receive feedback, based on the plurality of individual interactions with the dynamic creative, on how the content group is being received by the target group, and modify how often the plurality of alternative selections are presented in the script for the target group without regard to how the content group is being received by viewers. | 1. A system for generating a dynamic creative for a plurality of individual interactions, the system comprising one or more memory devices containing instructions for the following: a module added to a third-party creation tool that allows selecting from a plurality of structures; the plurality of structures that are selectable from within the third-party creation tool, wherein each of the plurality of structures is configured: to switch between a plurality of alternative selections when the creative is run, for graphically-manipulated insertion into the creative, and for integration into a script representing the creative, wherein the script is run on an end user device and the creative dynamically changes according to the plurality of alternative selections when run, locally, on a plurality of end user devices; and a platform configured to: receive selection of a content group that correlates to the plurality of alternative selections, receive selection of a target group comprising a plurality of attributes describing viewers of the creative, determine that a viewer of the creative is in the target group, select, after a user request, an alternative selection from the plurality of alternative selections based on the determination that the viewer of the creative is in the target group, process the alternative selection with a structure from the plurality of structures to customize the creative to the alternative selection that is associated with the content group, receive feedback, based on the plurality of individual interactions with the dynamic creative, on how the content group is being received by the target group, and modify how often the plurality of alternative selections are presented in the script for the target group without regard to how the content group is being received by viewers. 5. The system for generating the dynamic creative as recited in claim 1 , wherein the content group defines a plurality of options that define the alternative selections. | 0.620588 |
3. The one or more computer-readable storage memories of claim 1 , the security module further comprising: a module configured to enable marking at least one function as safe for access. | 3. The one or more computer-readable storage memories of claim 1 , the security module further comprising: a module configured to enable marking at least one function as safe for access. 4. The one or more computer-readable storage memories of claim 3 , wherein access to the at least one function comprises cross-domain access. | 0.932203 |
1. A method for teaching a student in a computer-based learning environment, comprising: identifying, using at least one processing device, a first concept that was learned by a first student and that is related to a second concept to be learned by the first student; identifying, using the at least one processing device, a first type of content used to teach the first concept to the first student; identifying, using the at least one processing device, at least one other student that learned the first concept from the first type of content; identifying, using the at least one processing device, a second type of content through which the at least one other student learned the second concept; selecting, using the at least one processing device, content corresponding to the second concept and the second type of content; and presenting, using the at least one processing device, the content corresponding to the second concept and the second type of content to the first student. | 1. A method for teaching a student in a computer-based learning environment, comprising: identifying, using at least one processing device, a first concept that was learned by a first student and that is related to a second concept to be learned by the first student; identifying, using the at least one processing device, a first type of content used to teach the first concept to the first student; identifying, using the at least one processing device, at least one other student that learned the first concept from the first type of content; identifying, using the at least one processing device, a second type of content through which the at least one other student learned the second concept; selecting, using the at least one processing device, content corresponding to the second concept and the second type of content; and presenting, using the at least one processing device, the content corresponding to the second concept and the second type of content to the first student. 2. The method of claim 1 , wherein the type of content is at least one of video, audio, text, problem solving, and case study. | 0.62909 |
15. A system, comprising: a data store storing a query graph generated from query data, the query data comprising a plurality of queries and the query graph comprising a plurality of nodes, each node representing a portion of a query, wherein each node representing a query prefix directs to one or more child nodes, each node having an associated frequency measure that is based on a number of times that the query that is represented by the node was received from users that belong to an associated user category; one or more computers configured to interact with the data store and further configured to perform operations including: receiving a portion of a query from a user device; locating a first node representing the portion of a query in the query graph; locating descendant nodes of the first node, each descendent node being a node that represents a query in the query graph; ranking the queries represented by the located descendant nodes based on the frequency measures associated with the located descendant nodes; and sending the portions of queries to the user device. | 15. A system, comprising: a data store storing a query graph generated from query data, the query data comprising a plurality of queries and the query graph comprising a plurality of nodes, each node representing a portion of a query, wherein each node representing a query prefix directs to one or more child nodes, each node having an associated frequency measure that is based on a number of times that the query that is represented by the node was received from users that belong to an associated user category; one or more computers configured to interact with the data store and further configured to perform operations including: receiving a portion of a query from a user device; locating a first node representing the portion of a query in the query graph; locating descendant nodes of the first node, each descendent node being a node that represents a query in the query graph; ranking the queries represented by the located descendant nodes based on the frequency measures associated with the located descendant nodes; and sending the portions of queries to the user device. 17. The system of claim 15 , wherein the query graph is a Patricia trie. | 0.85468 |
1. A computer program product embodied in a non-transitory computer readable medium that, when executing on one or more computers, helps determine an unknown user's preferences through the use of internet based social interactive graphical representations on a computer facility by performing the steps of: ascertaining preferences of a plurality of users who are part of an internet based social interactive construct, wherein the plurality of users become a plurality of known users; determining the internet based social interactive graphical representation for the plurality of known users; and inferring the preferences of an unknown user present in the internet based social interactive graphical representation of the plurality of known users based on the interrelationships between the unknown user and the plurality of known users within the graphical representation. | 1. A computer program product embodied in a non-transitory computer readable medium that, when executing on one or more computers, helps determine an unknown user's preferences through the use of internet based social interactive graphical representations on a computer facility by performing the steps of: ascertaining preferences of a plurality of users who are part of an internet based social interactive construct, wherein the plurality of users become a plurality of known users; determining the internet based social interactive graphical representation for the plurality of known users; and inferring the preferences of an unknown user present in the internet based social interactive graphical representation of the plurality of known users based on the interrelationships between the unknown user and the plurality of known users within the graphical representation. 4. The computer program product of claim 1 , wherein the Internet based social interactive graphical representation is a social diagram. | 0.554664 |
11. A method comprising: sending for display to one or more of a plurality of users of a social networking system a plurality of comments received for a conversation in a tree-branch configuration such that comments added to the conversation are displayed in association with existing comments to which they respond; receiving from a responding user a request to insert a response to one of a plurality of comments in the conversation; in response to receiving the request to insert, providing a comment editor input box within a conversation interface for managing conversations in the social networking system, wherein the tree-branch configuration expands to provide space for the comment editor input box; providing a search box within the comment editor input box for searching content; receiving a search term in the included search box from the responding user; sending for display to the responding user one or more search results for the search term; receiving a selection of one of the search results from the responding user; including content from the selected search result into a response of the responding user within the comment editor input box, such that, when posted by the responding user and displayed to one or more of the plurality of users, the content from the selected search result is displayed in the conversation interface; and receiving a request from the responding user to post the response from within the comment editor input box. | 11. A method comprising: sending for display to one or more of a plurality of users of a social networking system a plurality of comments received for a conversation in a tree-branch configuration such that comments added to the conversation are displayed in association with existing comments to which they respond; receiving from a responding user a request to insert a response to one of a plurality of comments in the conversation; in response to receiving the request to insert, providing a comment editor input box within a conversation interface for managing conversations in the social networking system, wherein the tree-branch configuration expands to provide space for the comment editor input box; providing a search box within the comment editor input box for searching content; receiving a search term in the included search box from the responding user; sending for display to the responding user one or more search results for the search term; receiving a selection of one of the search results from the responding user; including content from the selected search result into a response of the responding user within the comment editor input box, such that, when posted by the responding user and displayed to one or more of the plurality of users, the content from the selected search result is displayed in the conversation interface; and receiving a request from the responding user to post the response from within the comment editor input box. 17. The method of claim 11 , wherein receiving a selection of one of the search results comprises receiving the selection as a dragged and dropped object from the search results to the comment editor input box. | 0.661175 |
1. One or more computer-storage media embedded with computer-executable instructions, the embedded computer-executable instructions are executed by at least one processor for performing a method of determining an intent that is related to a present intent of a user, the method comprising: receiving one or more actions performed by the user, wherein the one or more actions include at least one action toward a goal; determining, for the user, a present intent, which is an object logically accomplished by performing an online action, based on the received one or more performed actions, wherein the determined present intent is one of a plurality of intents within an intent ontology that defines relationships between intents and actions, and wherein each of the plurality of intents is associated with at least one other intent through a chain of intent, wherein the chain of intent includes a chronological sequence of two or more related intents, wherein the chain of intent has a chronological relationship based on a temporal progression of intents; selecting a related intent that is part of a corresponding chain of intent that includes the determined present intent; and retrieving an online object that is associated with the related intent in anticipation to the related intent. | 1. One or more computer-storage media embedded with computer-executable instructions, the embedded computer-executable instructions are executed by at least one processor for performing a method of determining an intent that is related to a present intent of a user, the method comprising: receiving one or more actions performed by the user, wherein the one or more actions include at least one action toward a goal; determining, for the user, a present intent, which is an object logically accomplished by performing an online action, based on the received one or more performed actions, wherein the determined present intent is one of a plurality of intents within an intent ontology that defines relationships between intents and actions, and wherein each of the plurality of intents is associated with at least one other intent through a chain of intent, wherein the chain of intent includes a chronological sequence of two or more related intents, wherein the chain of intent has a chronological relationship based on a temporal progression of intents; selecting a related intent that is part of a corresponding chain of intent that includes the determined present intent; and retrieving an online object that is associated with the related intent in anticipation to the related intent. 5. The one or more computer-storage media of claim 1 , wherein the method further includes: categorizing the user into a lifestyle category based on information known about the user, wherein the lifestyle category describes a user's interests, hobbies, and activities; and wherein the online object is retrieved based on the related intent and a best match within the lifestyle category. | 0.544896 |
4. The control system of claim 1 , further comprising the autonomous robot, wherein the autonomous robot includes in the recognition information a score for respective of the candidate target objects. | 4. The control system of claim 1 , further comprising the autonomous robot, wherein the autonomous robot includes in the recognition information a score for respective of the candidate target objects. 5. The control system of claim 4 , wherein the autonomous robot includes in the recognition information object images of the candidate target images arranged in order of score. | 0.815372 |
25. The method of claim 1 , further comprising automatically selecting a template for formatting the text data. | 25. The method of claim 1 , further comprising automatically selecting a template for formatting the text data. 26. The method of claim 25 , wherein automatically selecting a template for formatting the text data includes comparing the text data with one or more templates and automatically formatting the text data based on at least one template having a structure corresponding to a structure of the text data. | 0.908898 |
43. Non-transitory machine readable media that stores executable instructions, which, when executed by the one or more processing devices, are configured to cause the one or more processing devices to perform operations comprising: providing for display on a terminal a learning content input user interface configured to receive learning content; receiving learning content via the learning content input user interface and storing the received learning content in machine readable memory; providing for display on the terminal a framework user interface configured to receive a framework definition, wherein the framework definition defines an order of presentation to a learner with respect to learning content; receiving, independently of the received learning content, a framework definition via the framework user interface and storing the received framework definition in machine readable memory, wherein the framework definition specifies a presentation flow; receiving from the user a publishing instruction via a publishing user interface; at least partly in response to the received publishing instruction, accessing from machine readable memory the received learning content, the received framework definition, a received style set definition, and a received protocol selection, wherein the received style set definition is received via a style set user interface that enables the user to select from a plurality of protocols, including at least a version of HTML and a non-HTML protocol, which protocol is to be used in packaging rendered merged learning content and framework definition; merging the received learning content and the received framework definition; rendering the merged the received learning content and the received framework definition in accordance with the received style set definition; and packaging the rendered merged learning content and framework definition in accordance with the selected protocol to provide a published learning document. | 43. Non-transitory machine readable media that stores executable instructions, which, when executed by the one or more processing devices, are configured to cause the one or more processing devices to perform operations comprising: providing for display on a terminal a learning content input user interface configured to receive learning content; receiving learning content via the learning content input user interface and storing the received learning content in machine readable memory; providing for display on the terminal a framework user interface configured to receive a framework definition, wherein the framework definition defines an order of presentation to a learner with respect to learning content; receiving, independently of the received learning content, a framework definition via the framework user interface and storing the received framework definition in machine readable memory, wherein the framework definition specifies a presentation flow; receiving from the user a publishing instruction via a publishing user interface; at least partly in response to the received publishing instruction, accessing from machine readable memory the received learning content, the received framework definition, a received style set definition, and a received protocol selection, wherein the received style set definition is received via a style set user interface that enables the user to select from a plurality of protocols, including at least a version of HTML and a non-HTML protocol, which protocol is to be used in packaging rendered merged learning content and framework definition; merging the received learning content and the received framework definition; rendering the merged the received learning content and the received framework definition in accordance with the received style set definition; and packaging the rendered merged learning content and framework definition in accordance with the selected protocol to provide a published learning document. 53. The media as defined in claim 43 , the operations further comprising providing: a user interface enabling the user to define a learning module independent of learning content, including fields enabling a user to specify a module identifier, a module sequence, a module title to be presented to the learner, and a module end message to be displayed to the learner upon completion of the module by the learner. | 0.828773 |
21. A system for generating search queries based on a media audio stream played over a telephone of a user, the system comprising: a memory to store computer programmable code; a processor to execute the computer programmable code stored in the memory; a database to store entity lists comprising a global hot-list with universally popular keywords and keyword phrases and an entity list with keywords and keyword phrases used with a frequency above a determined threshold value in conversations involving the user; a digitizer to digitize any analog words detected in an audio stream of a video or other media played over a telephone of the user; an identifier to identify words or phrases in the digitized audio stream through speech recognition; a comparator to compare the identified words or phrases to the keywords and keyword phrases stored in the database to locate any matches; a search string generator to generate a search string, without the user requesting a search, based on words or phrases found to match the keyword or keyword phrases stored in the database; wherein the processor: submits the search string to a search engine as a search query; and sends a set of search results returned by the search engine based on the submitted search string to the telephone of the user. | 21. A system for generating search queries based on a media audio stream played over a telephone of a user, the system comprising: a memory to store computer programmable code; a processor to execute the computer programmable code stored in the memory; a database to store entity lists comprising a global hot-list with universally popular keywords and keyword phrases and an entity list with keywords and keyword phrases used with a frequency above a determined threshold value in conversations involving the user; a digitizer to digitize any analog words detected in an audio stream of a video or other media played over a telephone of the user; an identifier to identify words or phrases in the digitized audio stream through speech recognition; a comparator to compare the identified words or phrases to the keywords and keyword phrases stored in the database to locate any matches; a search string generator to generate a search string, without the user requesting a search, based on words or phrases found to match the keyword or keyword phrases stored in the database; wherein the processor: submits the search string to a search engine as a search query; and sends a set of search results returned by the search engine based on the submitted search string to the telephone of the user. 24. The system of claim 21 , further comprising: a search diary database to store a search diary of cumulative search results for the user over a period of telephone conversations, wherein the search diary is made available to the user through a website posted to the Internet. | 0.589918 |
23. A device, comprising: a processor; a vocabulary service module stored in a memory coupled to the processor, the vocabulary service module configured to: receive a query from a querying entity about a term in a target passage of a content item within an electronic book; access metadata associated with the querying entity, the term, and the content item containing the target passage; determine a most likely meaning of the term as attributed to the querying entity based, at least in part, upon analysis of the metadata and a rank of possible meanings by a ranking module; search a corpus based at least in part upon the most likely meaning, and generate a vocabulary question based at least in part upon the determined most likely meaning. | 23. A device, comprising: a processor; a vocabulary service module stored in a memory coupled to the processor, the vocabulary service module configured to: receive a query from a querying entity about a term in a target passage of a content item within an electronic book; access metadata associated with the querying entity, the term, and the content item containing the target passage; determine a most likely meaning of the term as attributed to the querying entity based, at least in part, upon analysis of the metadata and a rank of possible meanings by a ranking module; search a corpus based at least in part upon the most likely meaning, and generate a vocabulary question based at least in part upon the determined most likely meaning. 24. The electronic device of claim 23 , wherein the ranking module is configured to: access possible meanings of the term; rank the possible meanings according to correspondence of the metadata; and select the possible meaning of the term with a highest rank. | 0.5 |
7. A system for automatically generating blog content, the system comprising: memory; a processor that executes instructions stored in memory; a monitoring module that includes instructions executable by the processor to detect that an in-game event has been detected based on gameplay of a user; a generating module that includes instructions executable by the processor to: generate partial blog content corresponding to the detected in-game event, wherein the partial blog content is generated from one or more predefined components associated with the detected in-game event, and receive one or more edits to the partial blog content, wherein the received edits are based on user input; and a transmission module that includes instructions executable by the processor to transmit the generated and edited blog content over the communication network to a designated website, wherein the generated blog content is automatically published on the designated website. | 7. A system for automatically generating blog content, the system comprising: memory; a processor that executes instructions stored in memory; a monitoring module that includes instructions executable by the processor to detect that an in-game event has been detected based on gameplay of a user; a generating module that includes instructions executable by the processor to: generate partial blog content corresponding to the detected in-game event, wherein the partial blog content is generated from one or more predefined components associated with the detected in-game event, and receive one or more edits to the partial blog content, wherein the received edits are based on user input; and a transmission module that includes instructions executable by the processor to transmit the generated and edited blog content over the communication network to a designated website, wherein the generated blog content is automatically published on the designated website. 8. The system of claim 7 , wherein the designated website includes a social networking site or a file-sharing site. | 0.544984 |
8. Apparatus for providing speech output for a speech-enabled application, the apparatus comprising: a memory storing a plurality of processor-executable instructions; and at least one processor, operatively coupled to the memory, that executes the instructions to: receive from the speech-enabled application a text input comprising a text transcription of a desired speech output; identify at least one first portion of at least one token of the text input that differs from at least one corresponding first portion of at least one other token of the text input, and at least one second portion of the at least one token that does not differ from at least one corresponding second portion of the at least one other token; assign contrastive stress to the identified at least one first portion of the at least one token, but not to the identified at least one second portion of the at least one token; generate an audio speech output corresponding to at least a portion of the text input, the audio speech output comprising at least one portion carrying contrastive stress corresponding to the at least one first portion of the at least one token of the text input, to contrast with at least one other portion of the audio speech output corresponding to the at least one corresponding first portion of the at least one other token of the text input; and provide the audio speech output for the speech-enabled application. | 8. Apparatus for providing speech output for a speech-enabled application, the apparatus comprising: a memory storing a plurality of processor-executable instructions; and at least one processor, operatively coupled to the memory, that executes the instructions to: receive from the speech-enabled application a text input comprising a text transcription of a desired speech output; identify at least one first portion of at least one token of the text input that differs from at least one corresponding first portion of at least one other token of the text input, and at least one second portion of the at least one token that does not differ from at least one corresponding second portion of the at least one other token; assign contrastive stress to the identified at least one first portion of the at least one token, but not to the identified at least one second portion of the at least one token; generate an audio speech output corresponding to at least a portion of the text input, the audio speech output comprising at least one portion carrying contrastive stress corresponding to the at least one first portion of the at least one token of the text input, to contrast with at least one other portion of the audio speech output corresponding to the at least one corresponding first portion of the at least one other token of the text input; and provide the audio speech output for the speech-enabled application. 9. The apparatus of claim 8 , wherein the at least one processor executes the instructions to identify the at least one token at least in part by: identifying a plurality of tokens of the text input of a same text normalization type for which a contrastive stress pattern is to be applied; and identifying the at least one token to be rendered with contrastive stress from among the plurality of tokens of the same text normalization type. | 0.5 |
14. The computer program stored in a non-transitory computer-readable storage medium according to claim 13 , wherein the API to be actually called includes pre-processing, main processing and post-processing, and wherein the document manipulation library is called via at least one of APIs of the three kinds of processing according to definition of the API to be actually called, and the digital document is manipulated. | 14. The computer program stored in a non-transitory computer-readable storage medium according to claim 13 , wherein the API to be actually called includes pre-processing, main processing and post-processing, and wherein the document manipulation library is called via at least one of APIs of the three kinds of processing according to definition of the API to be actually called, and the digital document is manipulated. 15. The computer program stored in a non-transitory computer-readable storage medium according to claim 14 , wherein, in a case where an API is not defined in the pre-processing or the post-processing of the API to be actually called, the document manipulation library is called via only an API of the main processing and digital document is manipulated. | 0.823697 |
1. A visual presentation system for synchronizing a display of a set of presentation with a speech input of a speaker, the system comprising: a speech recognition system for processing the speech input of the speaker during a visual presentation, wherein the processing of the speech input of the speaker includes converting the speech input into a spoken information data set; an association system for processing the spoken information data set to determine a display order of portions of the set of presentation data, wherein relevant portions of the set of presentation data are displayed in an order based upon the speech input of the speaker, wherein the processing of the spoken information data set includes: preprocessing the set of presentation data to exclude a predetermined list of terms from consideration in a presentation data match determination; determining a context of the speech input by analyzing speech patterns in the speech input over a predetermined time interval; and determining a set of matches of the context with the relevant portions of the set of presentation data; and a visual coordination system for coordinating the display of the relevant portions of the set of presentation data based on the set of matches determined by the association system, wherein the coordinating of the display of the relevant portions includes adjusting the display order of the relevant portions to synchronize the visual presentation with the speech input, and wherein the visual coordination system includes a user selection system for allowing a user to select which of the relevant portions to display from among the set of matches during the visual presentation. | 1. A visual presentation system for synchronizing a display of a set of presentation with a speech input of a speaker, the system comprising: a speech recognition system for processing the speech input of the speaker during a visual presentation, wherein the processing of the speech input of the speaker includes converting the speech input into a spoken information data set; an association system for processing the spoken information data set to determine a display order of portions of the set of presentation data, wherein relevant portions of the set of presentation data are displayed in an order based upon the speech input of the speaker, wherein the processing of the spoken information data set includes: preprocessing the set of presentation data to exclude a predetermined list of terms from consideration in a presentation data match determination; determining a context of the speech input by analyzing speech patterns in the speech input over a predetermined time interval; and determining a set of matches of the context with the relevant portions of the set of presentation data; and a visual coordination system for coordinating the display of the relevant portions of the set of presentation data based on the set of matches determined by the association system, wherein the coordinating of the display of the relevant portions includes adjusting the display order of the relevant portions to synchronize the visual presentation with the speech input, and wherein the visual coordination system includes a user selection system for allowing a user to select which of the relevant portions to display from among the set of matches during the visual presentation. 5. The visual presentation system of claim 1 , wherein the visual coordination system selects and displays locations within the set of presentation data, wherein the locations are displayed independently to an audience on an audience display and the user on a user display and are selected from the group consisting of: a view, a word, a phrase, a text segment, a graphic object, a visual element, a section, a slide, and a page. | 0.5 |
1. A method for tracking a user comprising: receiving a depth image that was captured by a depth camera; identifying an estimated location or position of a part of the user in the depth image; adjusting a model of the user based on the estimated location or position of the part of the user; and in response to a failure to identify a location or position of the part of the user in a second depth image, adjusting the model to move the location or position of the part of the user in the model to a default position of the part of the user. | 1. A method for tracking a user comprising: receiving a depth image that was captured by a depth camera; identifying an estimated location or position of a part of the user in the depth image; adjusting a model of the user based on the estimated location or position of the part of the user; and in response to a failure to identify a location or position of the part of the user in a second depth image, adjusting the model to move the location or position of the part of the user in the model to a default position of the part of the user. 6. The method of claim 1 , further comprising: determining that the estimated location or position is valid. | 0.67063 |
1. A method of performing instant speech translation, the method comprising: establishing a local communications network including a link between at least a first and a second headset computer; capturing speech in a first language at the first headset computer; transmitting the captured speech in the first language from the first headset computer directly to a network-based speech recognition service to recognize and transcribe the captured speech as text in the first language; receiving the text in the first language at the first headset computer from the network-based speech recognition service; broadcasting the text in the first language from the first headset computer over the local network to at least the second headset computer; receiving the broadcast text in the first language at the second headset computer; transmitting the received broadcast text in the first language from the second headset computer directly to a network-based text translation service to translate the text in the first language to a text in a second language; receiving the text in the second language at the second headset computer from the network-based text translation service; synthesizing speech from the text in the second language to speech in the second language at the second headset computer; presenting the synthesized speech in the second language through an audio speaker of the second headset computer; and providing noise cancellation of the captured speech in the first language at the second headset computer. | 1. A method of performing instant speech translation, the method comprising: establishing a local communications network including a link between at least a first and a second headset computer; capturing speech in a first language at the first headset computer; transmitting the captured speech in the first language from the first headset computer directly to a network-based speech recognition service to recognize and transcribe the captured speech as text in the first language; receiving the text in the first language at the first headset computer from the network-based speech recognition service; broadcasting the text in the first language from the first headset computer over the local network to at least the second headset computer; receiving the broadcast text in the first language at the second headset computer; transmitting the received broadcast text in the first language from the second headset computer directly to a network-based text translation service to translate the text in the first language to a text in a second language; receiving the text in the second language at the second headset computer from the network-based text translation service; synthesizing speech from the text in the second language to speech in the second language at the second headset computer; presenting the synthesized speech in the second language through an audio speaker of the second headset computer; and providing noise cancellation of the captured speech in the first language at the second headset computer. 6. The method of claim 1 , wherein the local communications network uses a Bluetooth Personal Area Networking (PAN) Profile. | 0.573437 |
11. A method, comprising: receiving, by a mobile device, a plurality of keywords from a keyword match database; obtaining, by the mobile device, a file containing one or more images and an audio track; processing, by the mobile device, the file to: identify a set of keywords included within the file and included in the plurality of keywords of the keyword match database; determining, by the mobile device and for a keyword within the set of keywords, that the keyword matches a pre-stored keyword in the keyword match database, the keyword matching the pre-stored keyword when a degree of match between the keyword and the pre-stored keyword satisfies a predetermined threshold; determining, by the mobile device and based on determining that the keyword matches the pre-stored keyword in the keyword match database, an overlay location associated with a respective image of the one or more images, the overlay location being determined based on a timestamp associated with where the keyword is identified in the audio track, and the overlay location being adjusted, to an adjusted overlay location associated with the respective image, so that content associated with the pre-stored keyword is visible with respect to other content associated with another overlay location; overlaying, by the mobile device and based on determining the overlay location associated with the respective image of the one or more images, the content associated with the pre-stored keyword, at the adjusted overlay location associated with the respective image of the one or more images; and providing, by the mobile device and for display, the respective image with the content overlaid at the adjusted overlay location associated with the respective image. | 11. A method, comprising: receiving, by a mobile device, a plurality of keywords from a keyword match database; obtaining, by the mobile device, a file containing one or more images and an audio track; processing, by the mobile device, the file to: identify a set of keywords included within the file and included in the plurality of keywords of the keyword match database; determining, by the mobile device and for a keyword within the set of keywords, that the keyword matches a pre-stored keyword in the keyword match database, the keyword matching the pre-stored keyword when a degree of match between the keyword and the pre-stored keyword satisfies a predetermined threshold; determining, by the mobile device and based on determining that the keyword matches the pre-stored keyword in the keyword match database, an overlay location associated with a respective image of the one or more images, the overlay location being determined based on a timestamp associated with where the keyword is identified in the audio track, and the overlay location being adjusted, to an adjusted overlay location associated with the respective image, so that content associated with the pre-stored keyword is visible with respect to other content associated with another overlay location; overlaying, by the mobile device and based on determining the overlay location associated with the respective image of the one or more images, the content associated with the pre-stored keyword, at the adjusted overlay location associated with the respective image of the one or more images; and providing, by the mobile device and for display, the respective image with the content overlaid at the adjusted overlay location associated with the respective image. 19. The method of claim 11 , wherein the content includes a uniform resource locator and the method further comprises: receiving selection of the uniform resource locator by a user of the mobile device; executing an application to access the uniform resource locator; accessing, via the application, the uniform resource locator; and providing, for display, content obtained as a result of accessing the uniform resource locator. | 0.578657 |
2. The memory controller of claim 1 , wherein the LDPC decoding circuit configures the memory access circuit to read a soft information of the second code word and decode the second code word according to the soft information of the second code word. | 2. The memory controller of claim 1 , wherein the LDPC decoding circuit configures the memory access circuit to read a soft information of the second code word and decode the second code word according to the soft information of the second code word. 3. The memory controller of claim 2 , wherein the LDPC decoding circuit generates the check value according to a plurality of check node messages generated according to the hard information of the first code word. | 0.915203 |
1. A method comprising: receiving, by a processing device, a stream of Unicode characters from an input stream; identifying a character range out of a plurality of character ranges for each Unicode character of the stream of Unicode characters; selecting an enciphering operation in view of the identified character range, wherein each of the plurality of character ranges corresponds to a respective enciphering operation; enciphering, by the processing device, each Unicode character of the stream of Unicode characters with the selected enciphering operation, wherein the enciphering comprises obtaining a plurality of bits in view of a key shared with another processing device and combining the each Unicode character with one or more of the plurality of bits with a reversible binary operation; restricting the each enciphered Unicode character to exclude control characters and reserved characters; and outputting the each enciphered Unicode character in an output stream. | 1. A method comprising: receiving, by a processing device, a stream of Unicode characters from an input stream; identifying a character range out of a plurality of character ranges for each Unicode character of the stream of Unicode characters; selecting an enciphering operation in view of the identified character range, wherein each of the plurality of character ranges corresponds to a respective enciphering operation; enciphering, by the processing device, each Unicode character of the stream of Unicode characters with the selected enciphering operation, wherein the enciphering comprises obtaining a plurality of bits in view of a key shared with another processing device and combining the each Unicode character with one or more of the plurality of bits with a reversible binary operation; restricting the each enciphered Unicode character to exclude control characters and reserved characters; and outputting the each enciphered Unicode character in an output stream. 6. The method of claim 1 , wherein the enciphering is implemented in C or C++. | 0.897403 |
8. A computer-implemented method of providing electronic patent information, the method being executed on a computer and comprising: providing, in a computer processor, a contract document from the electronic storage; subdividing, in the computer processor responsive to a user, the contract document into sections; entering, in the computer processor responsive to the user, an annotation regarding a relationship between (i) at least one section within the contract document and (ii) at least one other section within the contract document or at least one other section within another electronic document; inputting, in response to the user, edits to the document; and storing, by the computer processor, the annotation in the electronic storage for later retrieval, the contract documents are stored in the electronic storage separately from the annotations, wherein each annotation is different from other annotations in the electronic storage, wherein the annotation stored in the electronic storage: indicates the relationship between (i) the at least one section within the contract document and (ii) the at least one other section within the contract document or the at least one other section within the another electronic document, the annotation regarding the relationship further includes specific to the at least one section of the contract document to which the at least one annotations is applied and the at least one other section, a pre-defined conflict indication user-selected from at least two of pass, possible and fail, indicates a predetermined data portion within the contract document as stored in the electronic storage to which the annotation is related as indicated by a document-image-independent data schema, retrieving the at least one contract document from the electronic storage as document data, said document data including at least one element corresponding to the location of the at least one annotation within said document; retrieving the annotation to be applied to said at least one contract document from the electronic storage as annotation data; and combining the document data and the annotation data to form a unitary single logical document displaying the annotation embedded at the location in the document data that is indicated by the document-image-independent data schema; extracting the annotation data and the document data from the edited document, and determine the predetermined data portion for the annotation data within the edited document; store the extracted annotation data that is unedited as a same version in the electronic annotations; and updating said document data from the extracted document data as a next version in the electronic contract documents for later retrieval, the electronic annotations are stored separately from the electronic contract documents; receiving, from the user, an indication of a search request with annotation search criteria, the annotation search criteria is at least one of the pre-defined conflict indications; and searching, responsive to the annotation search criteria, in the electronic storage, for annotations that satisfy the annotation search criteria and to output, as a search result the contracts indicated by the annotations that satisfy the annotation search criteria. | 8. A computer-implemented method of providing electronic patent information, the method being executed on a computer and comprising: providing, in a computer processor, a contract document from the electronic storage; subdividing, in the computer processor responsive to a user, the contract document into sections; entering, in the computer processor responsive to the user, an annotation regarding a relationship between (i) at least one section within the contract document and (ii) at least one other section within the contract document or at least one other section within another electronic document; inputting, in response to the user, edits to the document; and storing, by the computer processor, the annotation in the electronic storage for later retrieval, the contract documents are stored in the electronic storage separately from the annotations, wherein each annotation is different from other annotations in the electronic storage, wherein the annotation stored in the electronic storage: indicates the relationship between (i) the at least one section within the contract document and (ii) the at least one other section within the contract document or the at least one other section within the another electronic document, the annotation regarding the relationship further includes specific to the at least one section of the contract document to which the at least one annotations is applied and the at least one other section, a pre-defined conflict indication user-selected from at least two of pass, possible and fail, indicates a predetermined data portion within the contract document as stored in the electronic storage to which the annotation is related as indicated by a document-image-independent data schema, retrieving the at least one contract document from the electronic storage as document data, said document data including at least one element corresponding to the location of the at least one annotation within said document; retrieving the annotation to be applied to said at least one contract document from the electronic storage as annotation data; and combining the document data and the annotation data to form a unitary single logical document displaying the annotation embedded at the location in the document data that is indicated by the document-image-independent data schema; extracting the annotation data and the document data from the edited document, and determine the predetermined data portion for the annotation data within the edited document; store the extracted annotation data that is unedited as a same version in the electronic annotations; and updating said document data from the extracted document data as a next version in the electronic contract documents for later retrieval, the electronic annotations are stored separately from the electronic contract documents; receiving, from the user, an indication of a search request with annotation search criteria, the annotation search criteria is at least one of the pre-defined conflict indications; and searching, responsive to the annotation search criteria, in the electronic storage, for annotations that satisfy the annotation search criteria and to output, as a search result the contracts indicated by the annotations that satisfy the annotation search criteria. 9. The method of claim 8 , wherein the annotation indicates an issue, or a result of an analysis of the issue. | 0.832192 |
7. The handheld electronic device of claim 6 , wherein outputting further comprises: outputting in the list: the prefix objects of the first result organized in descending order of frequency value, and the at least some of the prefix objects of the second result organized in descending order of frequency value. | 7. The handheld electronic device of claim 6 , wherein outputting further comprises: outputting in the list: the prefix objects of the first result organized in descending order of frequency value, and the at least some of the prefix objects of the second result organized in descending order of frequency value. 8. The handheld electronic device of claim 7 , wherein outputting further comprises: outputting the prefix objects of the first result at a position of higher priority in the list than any of the prefix objects of the second result. | 0.933735 |
5. A computer-readable memory device comprising computer-readable instructions for causing at least one processor to execute the following components: an input component configured to receive a definition of programmatic elements of at least one abstract syntax tree representation of a declarative programming language according to a common intermediate representation, wherein data representing the declarative programming language according to the common intermediate representation can be stored in any of a plurality of underlying storage abstractions, and wherein values associated with the programmatic elements are conformable to a plurality of types such that a particular value is conformable with each of the plurality of types in which the particular value does not violate a constraint codified in a type declaration; an abstract syntax tree processing component configured to format at least one abstract syntax tree data structure based on the definition of the programmatic elements and further configured to generate at least one executable program based on the at least one abstract syntax tree data structure; and an abstract syntax tree manipulation component configured to expose the programmatic elements represented by the at least one abstract syntax tree data structure, wherein the abstract syntax tree manipulation component is further configured to facilitate augmenting node information of the at least one abstract syntax tree data structure with state information via attached properties including representing type checking data in the at least one abstract syntax tree data structure as at least one other attached property, the type checking data used to confirm validity of a particular programmatic element. | 5. A computer-readable memory device comprising computer-readable instructions for causing at least one processor to execute the following components: an input component configured to receive a definition of programmatic elements of at least one abstract syntax tree representation of a declarative programming language according to a common intermediate representation, wherein data representing the declarative programming language according to the common intermediate representation can be stored in any of a plurality of underlying storage abstractions, and wherein values associated with the programmatic elements are conformable to a plurality of types such that a particular value is conformable with each of the plurality of types in which the particular value does not violate a constraint codified in a type declaration; an abstract syntax tree processing component configured to format at least one abstract syntax tree data structure based on the definition of the programmatic elements and further configured to generate at least one executable program based on the at least one abstract syntax tree data structure; and an abstract syntax tree manipulation component configured to expose the programmatic elements represented by the at least one abstract syntax tree data structure, wherein the abstract syntax tree manipulation component is further configured to facilitate augmenting node information of the at least one abstract syntax tree data structure with state information via attached properties including representing type checking data in the at least one abstract syntax tree data structure as at least one other attached property, the type checking data used to confirm validity of a particular programmatic element. 8. The computer-readable memory device of claim 5 , further comprising: an abstract syntax tree executable component configured to form and execute executable declarative code based on at least one semantic graph formed from a semantic analysis of the at least one abstract syntax tree data structure. | 0.5 |
1. A system for facilitating language learning wherein said system is used upon samples of a target language, wherein each of said samples is called in this invention ORIGINAL EXTRACT, said target language is a foreign language or is the native language of the learner, wherein said system comprises: a) a display apparatus, b) a memory containing information related to said original extracts, c) control logic means to show one or more BLIND EXTRACTS for at least one of said original extracts, wherein a blind extract is a graphical entity whose fragments have certain correspondence with fragments of an original extract, said original extract being associated to said blind extract, a blind extract is made up of one or more fragments, the fragments of a blind extract are created by replacing the sounds of said fragments of said original extract by graphical objects that are different from the letters associated to said sounds in said target language, d) means to prevent the user from watching text that represents said language sample while the user is watching said blind extract, e) control logic means to choose at least a fragment of a blind extract wherein said fragment is associated to a fragment of an original extract, f) means to generate information about said fragment of an original extract which is associated to said fragment of a blind extract, and wherein at least two of the linguistic entities which are included in said sample of target language and which have different pronunciation from each other are represented by graphical objects which display the same information, wherein a linguistic entity is an entity of any of the following plurality of types: sentences, phrases, words, syllables, or phonemes, and wherein said system is used in isolation or as a complement to other language orientated system, for facilitating foreign language learning or for correcting a problem in the utilization of the native language. | 1. A system for facilitating language learning wherein said system is used upon samples of a target language, wherein each of said samples is called in this invention ORIGINAL EXTRACT, said target language is a foreign language or is the native language of the learner, wherein said system comprises: a) a display apparatus, b) a memory containing information related to said original extracts, c) control logic means to show one or more BLIND EXTRACTS for at least one of said original extracts, wherein a blind extract is a graphical entity whose fragments have certain correspondence with fragments of an original extract, said original extract being associated to said blind extract, a blind extract is made up of one or more fragments, the fragments of a blind extract are created by replacing the sounds of said fragments of said original extract by graphical objects that are different from the letters associated to said sounds in said target language, d) means to prevent the user from watching text that represents said language sample while the user is watching said blind extract, e) control logic means to choose at least a fragment of a blind extract wherein said fragment is associated to a fragment of an original extract, f) means to generate information about said fragment of an original extract which is associated to said fragment of a blind extract, and wherein at least two of the linguistic entities which are included in said sample of target language and which have different pronunciation from each other are represented by graphical objects which display the same information, wherein a linguistic entity is an entity of any of the following plurality of types: sentences, phrases, words, syllables, or phonemes, and wherein said system is used in isolation or as a complement to other language orientated system, for facilitating foreign language learning or for correcting a problem in the utilization of the native language. 5. A system as claimed in claim 1 , further comprising means to show in some way the phrase structure of at least one of said blind extracts. | 0.617612 |
11. The corpus expansion method according to claim 9 , wherein, the step of generating new sample seeds comprises at least one of generating new sample seeds based on linguistic structure features and generating new sample seeds based on known seed annotator. | 11. The corpus expansion method according to claim 9 , wherein, the step of generating new sample seeds comprises at least one of generating new sample seeds based on linguistic structure features and generating new sample seeds based on known seed annotator. 12. The corpus expansion method according to claim 11 , further comprising storing the collected corpora. | 0.944962 |
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