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1. In a speech recognition system, an apparatus for storing speech parameters, said apparatus comprising: transducer means responsive to acoustic energy for transforming said acoustic energy into analog electrical signals, wherein said acoustic energy comprises voiced speech, unvoiced speech and background noise; signal processing means for converting said analog signals to substantially equivalent forms of speech parameters and for sampling said speech parameters at a predetermined sampling rate; first storage means coupled to said signal processing means for temporarily storing a plurality of samples of said speech parameters from said signal processing means; a binary adder coupled to said signal processing means for computing the average signal level of samples of said speech parameters from said signal processing means during predetermined periods of time; a digital magnitude comparator coupled to said binary adder, said comparator generating a control signal when the computed average signal level exceeds a predetermined signal level, said predetermined signal level representative of said background noise; second storage means coupled to said first storage means for storing speech parameters transferred from said first storage means; and means responsive to said control signal for conveying information stored in said first storage means to said second storage means, wherein said conveyed information includes speech parameters stored in said first storage means prior to the generation of said control signal.

1. In a speech recognition system, an apparatus for storing speech parameters, said apparatus comprising: transducer means responsive to acoustic energy for transforming said acoustic energy into analog electrical signals, wherein said acoustic energy comprises voiced speech, unvoiced speech and background noise; signal processing means for converting said analog signals to substantially equivalent forms of speech parameters and for sampling said speech parameters at a predetermined sampling rate; first storage means coupled to said signal processing means for temporarily storing a plurality of samples of said speech parameters from said signal processing means; a binary adder coupled to said signal processing means for computing the average signal level of samples of said speech parameters from said signal processing means during predetermined periods of time; a digital magnitude comparator coupled to said binary adder, said comparator generating a control signal when the computed average signal level exceeds a predetermined signal level, said predetermined signal level representative of said background noise; second storage means coupled to said first storage means for storing speech parameters transferred from said first storage means; and means responsive to said control signal for conveying information stored in said first storage means to said second storage means, wherein said conveyed information includes speech parameters stored in said first storage means prior to the generation of said control signal. 2. The apparatus according to claim 1 wherein said first storage means is a shift register.

7. The system according to claim 2 , further comprising a random modification selector for randomly selecting the character level modifications from the group.

7. The system according to claim 2 , further comprising a random modification selector for randomly selecting the character level modifications from the group. 8. The system according to claim 7 , wherein said auto-encoder is further adapted for incrementing the frequency of injecting the random character level modifications to the variable length CLIS, responsive to an increase in the level of similarity of the variable length CLOS to the respective original variable length CLIS prior to their random character level modifications.

12. The system as recited in claim 11 further comprising: means responsive to an absence of a corresponding audio voice for calculating a weighted average of the data in the first I/O instruction and selecting an audio voice as a closest match having a value closest to the weighted average; and, means for transmitting audio data corresponding to the audio voice which is the closest match to the second type of audio card coupled to the computer system and an expected I/O instruction to the audio application.

12. The system as recited in claim 11 further comprising: means responsive to an absence of a corresponding audio voice for calculating a weighted average of the data in the first I/O instruction and selecting an audio voice as a closest match having a value closest to the weighted average; and, means for transmitting audio data corresponding to the audio voice which is the closest match to the second type of audio card coupled to the computer system and an expected I/O instruction to the audio application. 14. The system as recited in claim 12 wherein the data in the first I/O instruction is a plurality of values for a set of parameters and each audio voice corresponds to a plurality of values for the set of parameters, and the method wherein the translating program further comprises: means for determining a difference between a first audio parameter in the first plurality I/O instruction and the value for the first audio parameter in the closest set corresponding to the audio voice which is the closest match; and, means for altering the audio data according to the difference.

4. The system according to claim 1 , wherein the built-in search function applies logic of each search expression to determine the candidate elements that satisfy that search expression.

4. The system according to claim 1 , wherein the built-in search function applies logic of each search expression to determine the candidate elements that satisfy that search expression. 5. The system according to claim 4 , wherein each candidate element that contains one of the search terms is identified.

1. A method for computer-aided translation, comprising: generating a suggestion pool of possible translations for each sentence in a document using a processor; providing a single best suggestion from the suggestion pool to a user for a sentence being translated; updating the suggestion pool based on the user's input of a translation prefix; and providing a single updated best suggestion from the updated suggestion pool to the user.

1. A method for computer-aided translation, comprising: generating a suggestion pool of possible translations for each sentence in a document using a processor; providing a single best suggestion from the suggestion pool to a user for a sentence being translated; updating the suggestion pool based on the user's input of a translation prefix; and providing a single updated best suggestion from the updated suggestion pool to the user. 2. The method of claim 1 , wherein generating the suggestion pool comprises using general and customized translation models.

11. A method of controlling an electronic device for generating a system response, including a storage storing domain information that is categorized for dialogue subjects, and control information for performing tasks corresponding to the dialogue subjects and dialogue patterns for the dialogue subjects, the method comprising: receiving, with a microphone, a user utterance sound; detecting, with a processor, a current domain, among the domain information, based on the user utterance sound; determining, with the processor, one among the current domain and a previous domain as a selected domain to be used to process the user utterance sound received by the microphone, said selected domain being determined based on a first confidence between the user utterance sound and the current domain and a second confidence between the user utterance sound and the previous domain that is used before the current domain to process a previous user utterance sound, wherein the processor determines the current domain as the selected domain; storing, with the processor, information of the previous domain in the storage as interrupted domain information in response to the current domain being determined as the selected domain; processing, with the processor, the user utterance sound to generate a first system response, based on the selected domain; outputting, with an external device or a speaker of the electronic device, the first system response; and outputting, with the speaker of the electronic device, an audible second system response responding to the previous user utterance sound based on the stored interrupted domain information, after the user utterance sound is processed based on the current domain as the selected domain.

11. A method of controlling an electronic device for generating a system response, including a storage storing domain information that is categorized for dialogue subjects, and control information for performing tasks corresponding to the dialogue subjects and dialogue patterns for the dialogue subjects, the method comprising: receiving, with a microphone, a user utterance sound; detecting, with a processor, a current domain, among the domain information, based on the user utterance sound; determining, with the processor, one among the current domain and a previous domain as a selected domain to be used to process the user utterance sound received by the microphone, said selected domain being determined based on a first confidence between the user utterance sound and the current domain and a second confidence between the user utterance sound and the previous domain that is used before the current domain to process a previous user utterance sound, wherein the processor determines the current domain as the selected domain; storing, with the processor, information of the previous domain in the storage as interrupted domain information in response to the current domain being determined as the selected domain; processing, with the processor, the user utterance sound to generate a first system response, based on the selected domain; outputting, with an external device or a speaker of the electronic device, the first system response; and outputting, with the speaker of the electronic device, an audible second system response responding to the previous user utterance sound based on the stored interrupted domain information, after the user utterance sound is processed based on the current domain as the selected domain. 18. A non-transitory computer-readable storage medium storing a program to cause a computer to perform the method of claim 11 .

2. A method for providing informational services using a portable navigational apparatus configured to communicate with a server via a wireless communications network, the method comprising: inputting a proprietary search term to find one or more locations of an entity within a geographical area into the navigational apparatus; sending a search query comprising the proprietary search term via the wireless communications network to the server to allow the server to access a unified geographic database (“UGD”) to identify the entity within the geographical area uniquely associated with the proprietary search term, and to use locational information associated with the navigational apparatus to complete a search of the UGD for one or more locations associated with the one or more entities satisfying the search query and limited in geographic scope by the locational information; adding locational information associated with the navigational apparatus to the proprietary search term to limit geographic scope of the search query before sending the search query; receiving a search result from the server via the wireless communications network, the search result comprising one or more locations identified by the proprietary search term that have a relationship with the locational information; and outputting the one or more locations comprising the search result.

2. A method for providing informational services using a portable navigational apparatus configured to communicate with a server via a wireless communications network, the method comprising: inputting a proprietary search term to find one or more locations of an entity within a geographical area into the navigational apparatus; sending a search query comprising the proprietary search term via the wireless communications network to the server to allow the server to access a unified geographic database (“UGD”) to identify the entity within the geographical area uniquely associated with the proprietary search term, and to use locational information associated with the navigational apparatus to complete a search of the UGD for one or more locations associated with the one or more entities satisfying the search query and limited in geographic scope by the locational information; adding locational information associated with the navigational apparatus to the proprietary search term to limit geographic scope of the search query before sending the search query; receiving a search result from the server via the wireless communications network, the search result comprising one or more locations identified by the proprietary search term that have a relationship with the locational information; and outputting the one or more locations comprising the search result. 23. The method of claim 2 , further comprising storing previous locational information from a previous search query using the navigational apparatus, wherein the previous location information comprises the locational information in the search query.

9. The system as recited in claim 5 , wherein the server is further configured to plug a differencing module into the framework, and wherein the differencing module is configured to: determine differences between the modified version of the document in the server format and the document in the server format; and provide the determined differences to the merger module, wherein each determined difference indicates changed content of the modified version of the document in the server format.

9. The system as recited in claim 5 , wherein the server is further configured to plug a differencing module into the framework, and wherein the differencing module is configured to: determine differences between the modified version of the document in the server format and the document in the server format; and provide the determined differences to the merger module, wherein each determined difference indicates changed content of the modified version of the document in the server format. 13. The system as recited in claim 9 , wherein, for each of the determined differences, the merger module is further configured to merge corresponding changed content of the modified version of the document in the server format with the document in the server format.

1. A character input method using a touch screen, comprising the steps of: displaying at least one area partitioned by dotted lines when a character selection occurs; displaying a first character at a first area among the displayed at least one area of the touch screen and a third character at a second area of the touch screen; receiving character information at the first area by the touch screen; selecting the first character superimposed on at least part of the character information as a character to be replaced among the first character and the third character based on a position of the character information; and displaying a second character at the first area in accordance with the received character information to replace the first character displayed at the first area.

1. A character input method using a touch screen, comprising the steps of: displaying at least one area partitioned by dotted lines when a character selection occurs; displaying a first character at a first area among the displayed at least one area of the touch screen and a third character at a second area of the touch screen; receiving character information at the first area by the touch screen; selecting the first character superimposed on at least part of the character information as a character to be replaced among the first character and the third character based on a position of the character information; and displaying a second character at the first area in accordance with the received character information to replace the first character displayed at the first area. 7. The method of claim 1 , wherein receiving character information comprises receiving the character information using an input tool, said input tool including at least one of a finger and a stylus pen.

13. A computer readable storage device storing a computer program which, when executed by a computer processor, causes the computer processor to perform operations comprising: reading an electronic document, the electronic document comprising content rules, an existing signed state, and existing content items; authenticating the electronic document one or more times, each authenticating comprising: classifying the existing content items of the electronic document into existing invariant content items and existing modifiable content items, according to the content rules; receiving one or more user actions for one or more of the existing content items; determining whether the one or more user actions are permitted by the content rules; reclassifying one or more existing modifiable content items into new invariant content items in response to the one or more user actions; generating an object digest for an aggregation of the existing invariant content items and the new invariant content items, wherein the aggregation includes a simple content item, a semi-complex content item and a complex content item, and the object digest is generated by digesting the existing invariant content items and the new invariant content items according to their complexity and generating the object digest includes ignoring one or more existing modifiable content items in the electronic document that are not reclassified into new invariant content items; generating a saved state of the electronic document; and adding a new signed state to the electronic document, the new signed state comprising the object digest, the saved state, and an electronic signature.

13. A computer readable storage device storing a computer program which, when executed by a computer processor, causes the computer processor to perform operations comprising: reading an electronic document, the electronic document comprising content rules, an existing signed state, and existing content items; authenticating the electronic document one or more times, each authenticating comprising: classifying the existing content items of the electronic document into existing invariant content items and existing modifiable content items, according to the content rules; receiving one or more user actions for one or more of the existing content items; determining whether the one or more user actions are permitted by the content rules; reclassifying one or more existing modifiable content items into new invariant content items in response to the one or more user actions; generating an object digest for an aggregation of the existing invariant content items and the new invariant content items, wherein the aggregation includes a simple content item, a semi-complex content item and a complex content item, and the object digest is generated by digesting the existing invariant content items and the new invariant content items according to their complexity and generating the object digest includes ignoring one or more existing modifiable content items in the electronic document that are not reclassified into new invariant content items; generating a saved state of the electronic document; and adding a new signed state to the electronic document, the new signed state comprising the object digest, the saved state, and an electronic signature. 15. The storage device of claim 13 , wherein each of the content items of the electronic document has a type identifier and a length.

1. A method to search for an entity in an entity resolution system, comprising: receiving, using a processor of a computer, search input made up of attributes having attribute types; performing a resolution search using the search input to generate a first search result set comprising one or more entities and zero or more generic attributes, wherein the resolution search determines that the search input and each of the one or more entities has a similarity score exceeding a first threshold, and wherein each of the generic attributes has a frequency of occurrence exceeding a second threshold; in response to determining that the resolution search generated less than two generic attributes, returning the first search result set; and in response to determining that the resolution search generated at least two generic attributes, for each generic group that includes a subset of the search input and includes at least two generic attribute types from the attribute types of attributes in the search input, performing a query search to identify additional entities; combining the identified additional entities with the entities in the first search result set to generate a second search result set; and returning the second search result set.

1. A method to search for an entity in an entity resolution system, comprising: receiving, using a processor of a computer, search input made up of attributes having attribute types; performing a resolution search using the search input to generate a first search result set comprising one or more entities and zero or more generic attributes, wherein the resolution search determines that the search input and each of the one or more entities has a similarity score exceeding a first threshold, and wherein each of the generic attributes has a frequency of occurrence exceeding a second threshold; in response to determining that the resolution search generated less than two generic attributes, returning the first search result set; and in response to determining that the resolution search generated at least two generic attributes, for each generic group that includes a subset of the search input and includes at least two generic attribute types from the attribute types of attributes in the search input, performing a query search to identify additional entities; combining the identified additional entities with the entities in the first search result set to generate a second search result set; and returning the second search result set. 2. The method of claim 1 , further comprising: in response to receiving the search input, determining whether to perform the query search based on the search input; and in response to determining that the query search is to be performed, performing the query search.

4. The system of claim 1 , wherein the scoring component is further configured to determine an area of overlap between unique conversation segments based on frequency of occurrence of the elements of the context specific lexicon associated with the corresponding unique conversation segments.

4. The system of claim 1 , wherein the scoring component is further configured to determine an area of overlap between unique conversation segments based on frequency of occurrence of the elements of the context specific lexicon associated with the corresponding unique conversation segments. 5. The system of claim 4 , wherein the scoring component is further configured to assign a grade based on the area of overlap between unique conversation segments, where a higher grade is assigned to a conversation with minimal overlap between the unique conversation segments, and where a lower grade is assigned to the conversation as the overlap increases.

27. A non-transitory computer-readable medium including computer program instructions, which when executed by a computer, cause the computer to perform the method according to claim 1 .

27. A non-transitory computer-readable medium including computer program instructions, which when executed by a computer, cause the computer to perform the method according to claim 1 . 37. The non-transitory computer readable medium of claim 27 , wherein, for an ordered pair of a first semantic class of the one or more first semantic classes with a second semantic class of the one or more second semantic classes, the component of the weight distribution of the first data element with respect to the second data element is based on a number of common data elements that occur both in the first semantic class and in the second semantic class.

33. A method for decompressing a spinal canal, comprising: moving a posterior element of a vertebra that is separated from a first portion of a lateral mass of the vertebra away from the first portion of the lateral mass to expand a spinal canal disposed between the posterior element and the first portion of the lateral mass; implanting a first bone anchor into the first portion of the lateral mass, the bone anchor including a head having opposed arms; coupling a first end of a first connecting plate to the first bone anchor by contacting the head to an opening formed in the first end; and coupling a second end of the first connecting plate to the posterior element to maintain the posterior element in a fixed position with respect to the first portion of the lateral mass, wherein coupling a first end of a first connecting plate to the first bone anchor comprises positioning a first locking member within an opening formed in the first end of the first connecting plate such that a distal portion of the first locking member engages opposed inner walls of the opposed arms to maintain a location of the first connecting plate with respect to the first bone anchor.

33. A method for decompressing a spinal canal, comprising: moving a posterior element of a vertebra that is separated from a first portion of a lateral mass of the vertebra away from the first portion of the lateral mass to expand a spinal canal disposed between the posterior element and the first portion of the lateral mass; implanting a first bone anchor into the first portion of the lateral mass, the bone anchor including a head having opposed arms; coupling a first end of a first connecting plate to the first bone anchor by contacting the head to an opening formed in the first end; and coupling a second end of the first connecting plate to the posterior element to maintain the posterior element in a fixed position with respect to the first portion of the lateral mass, wherein coupling a first end of a first connecting plate to the first bone anchor comprises positioning a first locking member within an opening formed in the first end of the first connecting plate such that a distal portion of the first locking member engages opposed inner walls of the opposed arms to maintain a location of the first connecting plate with respect to the first bone anchor. 34. The method of claim 33 , further comprising dissecting the posterior element from the first portion of the lateral mass of the vertebra.

7. A system for isolating uncertainty between speech recognition and natural language processing, the system comprising at least one computer including at least one processor, the at least one computer comprising: (a) an automated speech recognition component configured to generate, based on speech input, at least one of words and word sequences, the at least one of words and word sequences associated with meta-information; (b) a natural language processing component distinct from the automated speech recognition component, the natural language processing component configured to process the at least one of words and word sequences based at least partially on weighted meta-information; and (c) a machine learning engine configured to: (i) receive the meta-information from the automated speech recognition system; (ii) generate the weighted meta-information for the at least one of words and word sequences based at least partially on a learned weighting algorithm and the at least one of words and word sequences, wherein the learned weighting algorithm is influenced by the machine learning engine by analyzing meta-information received from the automated speech recognition component and the natural language processing component.

7. A system for isolating uncertainty between speech recognition and natural language processing, the system comprising at least one computer including at least one processor, the at least one computer comprising: (a) an automated speech recognition component configured to generate, based on speech input, at least one of words and word sequences, the at least one of words and word sequences associated with meta-information; (b) a natural language processing component distinct from the automated speech recognition component, the natural language processing component configured to process the at least one of words and word sequences based at least partially on weighted meta-information; and (c) a machine learning engine configured to: (i) receive the meta-information from the automated speech recognition system; (ii) generate the weighted meta-information for the at least one of words and word sequences based at least partially on a learned weighting algorithm and the at least one of words and word sequences, wherein the learned weighting algorithm is influenced by the machine learning engine by analyzing meta-information received from the automated speech recognition component and the natural language processing component. 8. The system of claim 7 , wherein the machine learning engine is further configured to: (iii) receive, from the natural language processing component, corresponding meta-information; and (iv) influence the learned weighting algorithm based at least partially on the meta-information received from the automated speech recognition component and the corresponding meta-information received from the natural language processing component.

15. A non-transitory computer storage medium having computer executable instructions which when executed by a computer cause the computer to perform operations comprising: providing at least a first user and a second user remote access to an electronically stored document that includes document content; applying a first electronic signature to the electronically stored document to produce an initial signed version of the electronically stored document, wherein the first electronic signature includes information that associates the first electronic signature with the initial signed version of the electronically stored document, the first electronic signature verifies integrity of the document content of the initial signed version of the electronically stored document, and the first electronic signature includes a first cryptographic component; subsequent to applying the first electronic signature to the electronically stored document, modifying the document content of the initial signed version of the electronically stored document thereby producing a first revision of the electronically stored document; subsequent to modifying the document content of the initial signed document, applying a second electronic signature to the first revision of the electronically stored document, wherein the second electronic signature includes information that associates the second electronic signature with the first revision of the electronically stored document, the second electronic signature verifies integrity of the document content of the first revision of the electronically stored document, and the second electronic signature includes a second cryptographic component; and generating a revision history of the electronically stored document, wherein the revision history associates the first electronic signature with the initial signed version of the electronically stored document and associates at least the second electronic signature with the first revision of the first electronically stored document.

15. A non-transitory computer storage medium having computer executable instructions which when executed by a computer cause the computer to perform operations comprising: providing at least a first user and a second user remote access to an electronically stored document that includes document content; applying a first electronic signature to the electronically stored document to produce an initial signed version of the electronically stored document, wherein the first electronic signature includes information that associates the first electronic signature with the initial signed version of the electronically stored document, the first electronic signature verifies integrity of the document content of the initial signed version of the electronically stored document, and the first electronic signature includes a first cryptographic component; subsequent to applying the first electronic signature to the electronically stored document, modifying the document content of the initial signed version of the electronically stored document thereby producing a first revision of the electronically stored document; subsequent to modifying the document content of the initial signed document, applying a second electronic signature to the first revision of the electronically stored document, wherein the second electronic signature includes information that associates the second electronic signature with the first revision of the electronically stored document, the second electronic signature verifies integrity of the document content of the first revision of the electronically stored document, and the second electronic signature includes a second cryptographic component; and generating a revision history of the electronically stored document, wherein the revision history associates the first electronic signature with the initial signed version of the electronically stored document and associates at least the second electronic signature with the first revision of the first electronically stored document. 21. The non-transitory computer storage medium of claim 15 , wherein the first electronic signature is revoked upon modifying the electronically stored document.

10. A computer implemented method for searching and ranking a list of files-of-interest, comprising: receiving an user input query comprising a plurality of keywords; for each file in the list: a—determine a number of unmatched query-keywords during searching each paragraph of the file, and if the number of unmatched query-keywords is greater than a portion of a total number of keywords in the query, set the paragraph score to zero and skip to a next paragraph, b—determine a number of unique matched query-keywords for each paragraph of the file, c—determine a number of matched keywords occurred in each paragraph of the file, d—determine a plurality of distances between matched keywords within each paragraph, e—determine a number of distances less than a threshold distance within each paragraph, f—determine a plurality of paragraph scores, wherein each paragraph score is calculated based on said number of matched keywords, said number of unique matched query-keywords, a distance from said plurality of distances, and said number of distances less than said threshold distance, g—determine an overall score based on at least two of said plurality of paragraph scores, wherein each overall score comprises a plurality of scores; sorting and ranking said files based on the overall scores of said files; and presenting results of said ranking to the user, wherein said sorting and ranking is based on both priority levels and score values of said plurality of scores, said priority levels of said plurality of scores are initially set according to a default setting, in response to the score values of at least two current compared scores are equal, the score values of at least two respective scores with lower priority are used for ranking.

10. A computer implemented method for searching and ranking a list of files-of-interest, comprising: receiving an user input query comprising a plurality of keywords; for each file in the list: a—determine a number of unmatched query-keywords during searching each paragraph of the file, and if the number of unmatched query-keywords is greater than a portion of a total number of keywords in the query, set the paragraph score to zero and skip to a next paragraph, b—determine a number of unique matched query-keywords for each paragraph of the file, c—determine a number of matched keywords occurred in each paragraph of the file, d—determine a plurality of distances between matched keywords within each paragraph, e—determine a number of distances less than a threshold distance within each paragraph, f—determine a plurality of paragraph scores, wherein each paragraph score is calculated based on said number of matched keywords, said number of unique matched query-keywords, a distance from said plurality of distances, and said number of distances less than said threshold distance, g—determine an overall score based on at least two of said plurality of paragraph scores, wherein each overall score comprises a plurality of scores; sorting and ranking said files based on the overall scores of said files; and presenting results of said ranking to the user, wherein said sorting and ranking is based on both priority levels and score values of said plurality of scores, said priority levels of said plurality of scores are initially set according to a default setting, in response to the score values of at least two current compared scores are equal, the score values of at least two respective scores with lower priority are used for ranking. 12. The method according to claim 10 , wherein said presenting further comprises an interactive window that allows a user to dynamically reselect a priority of a score among said plurality of scores for re-ranking said files.

14. An apparatus comprising: a memory unit; and a processor coupled to the memory unit and configured to execute a plurality of instructions which are configured to when executed cause the apparatus to: retrieve recipe text information from a client device in communication with the apparatus, the recipe text information comprising at least a plurality of words relating to preparation of a food or beverage; analyze the text information to determine one of a plurality of keyword categories for individual ones of the plurality of words in the text information, the keyword categories being determined based on a presence of the individual ones of the plurality of words within a database of known words for each of three available keyword categories; extract nutrition information associated with at least the individual ones of the words identified within the keyword category relating to known ingredients; organize the extracted nutrition information and the plurality of words into sections related to the keyword categories; and provide the organized extracted nutrition information and the plurality of words to the client device for nutrition logging thereat.

14. An apparatus comprising: a memory unit; and a processor coupled to the memory unit and configured to execute a plurality of instructions which are configured to when executed cause the apparatus to: retrieve recipe text information from a client device in communication with the apparatus, the recipe text information comprising at least a plurality of words relating to preparation of a food or beverage; analyze the text information to determine one of a plurality of keyword categories for individual ones of the plurality of words in the text information, the keyword categories being determined based on a presence of the individual ones of the plurality of words within a database of known words for each of three available keyword categories; extract nutrition information associated with at least the individual ones of the words identified within the keyword category relating to known ingredients; organize the extracted nutrition information and the plurality of words into sections related to the keyword categories; and provide the organized extracted nutrition information and the plurality of words to the client device for nutrition logging thereat. 18. The apparatus of claim 14 , wherein the act of extracting nutrition information further comprises determining one or more nutritional values of the recipe text information based at least in part on one or more component ingredients as determined by the act of analyzing.

1. A computer-implemented method comprising: selecting, by a system that includes (i) a confusion matrix manager configured to store, for like-pronunciation groups, phones of expected phonetic transcriptions as substitute pronunciations for corresponding phones of actual phonetic transcriptions in a confusion matrix and (ii) an enhanced speech recognizer configured to obtain, from the confusion matrix manager, using output of an acoustic model associated with the enhanced speech recognizer, the substitute pronunciations before inputting the substitute pronunciations to a language model associated with the enhanced speech recognizer, one or more terms; obtaining, by the system, an expected phonetic transcription of an idealized native speaker of a natural language speaking the one or more terms; after obtaining the expected phonetic transcription of the idealized native speaker of the natural language speaking the one or more terms, receiving audio data corresponding to a particular user that is not the idealized native speaker of the natural language speaking the one or more terms in the natural language; receiving data identifying a like-pronunciation group associated with the particular user; obtaining, by the system, based on the audio data, an actual phonetic transcription of the particular user that is not the idealized native speaker of the natural language speaking the one or more terms in the natural language; aligning, by the system, the expected phonetic transcription of the idealized native speaker of the natural language with the actual phonetic transcription of the particular user that is not the idealized native speaker of the natural language; identifying, by the system, based on aligning the expected phonetic transcription of the idealized native speaker with the actual phonetic transcription of the particular user that is not the idealized native speaker of the natural language, one or more phones of the expected phonetic transcription that is different than one or more corresponding phones of the actual phonetic transcription; in response to identifying, based on aligning the expected phonetic transcription of the idealized native speaker with the actual phonetic transcription of the particular user that is not the idealized native speaker of the natural language, designating, by the system, the one or more phones of the expected phonetic transcription as a substitute pronunciation for the corresponding phones of the actual phonetic transcription for other terms that (i) are spoken by other users that are also associated with the like-pronunciation group, and (ii) have a respective phonetic transcription that includes the one or more corresponding phones; obtaining, by the enhanced speech recognizer that is configured to obtain, from the confusion matrix manager, using output of the acoustic model associated with the enhanced speech recognizer, the substitute pronunciations before inputting the substitute pronunciations to the language model associated with the enhanced speech recognizer, a transcription of another term that (i) is spoken by another user that is also associated with the like-pronunciation group, and (ii) has a phonetic transcription that includes the one or more corresponding phones based on the one or more phones of the expected phonetic transcription being designated as a substitute pronunciation for the one or more corresponding phones of the actual phonetic transcription; and inputting, by the enhanced speech recognizer, using the transcription of another term that (i) is spoken by another user that is also associated with the like-pronunciation group, and (ii) has a phonetic transcription that includes the one or more corresponding phones, the one or more phones of the expected phonetic transcription that is designated as the substitute pronunciation for the one or more corresponding phones of the actual phonetic transcription to the language model associated with the enhanced speech recognizer.

1. A computer-implemented method comprising: selecting, by a system that includes (i) a confusion matrix manager configured to store, for like-pronunciation groups, phones of expected phonetic transcriptions as substitute pronunciations for corresponding phones of actual phonetic transcriptions in a confusion matrix and (ii) an enhanced speech recognizer configured to obtain, from the confusion matrix manager, using output of an acoustic model associated with the enhanced speech recognizer, the substitute pronunciations before inputting the substitute pronunciations to a language model associated with the enhanced speech recognizer, one or more terms; obtaining, by the system, an expected phonetic transcription of an idealized native speaker of a natural language speaking the one or more terms; after obtaining the expected phonetic transcription of the idealized native speaker of the natural language speaking the one or more terms, receiving audio data corresponding to a particular user that is not the idealized native speaker of the natural language speaking the one or more terms in the natural language; receiving data identifying a like-pronunciation group associated with the particular user; obtaining, by the system, based on the audio data, an actual phonetic transcription of the particular user that is not the idealized native speaker of the natural language speaking the one or more terms in the natural language; aligning, by the system, the expected phonetic transcription of the idealized native speaker of the natural language with the actual phonetic transcription of the particular user that is not the idealized native speaker of the natural language; identifying, by the system, based on aligning the expected phonetic transcription of the idealized native speaker with the actual phonetic transcription of the particular user that is not the idealized native speaker of the natural language, one or more phones of the expected phonetic transcription that is different than one or more corresponding phones of the actual phonetic transcription; in response to identifying, based on aligning the expected phonetic transcription of the idealized native speaker with the actual phonetic transcription of the particular user that is not the idealized native speaker of the natural language, designating, by the system, the one or more phones of the expected phonetic transcription as a substitute pronunciation for the corresponding phones of the actual phonetic transcription for other terms that (i) are spoken by other users that are also associated with the like-pronunciation group, and (ii) have a respective phonetic transcription that includes the one or more corresponding phones; obtaining, by the enhanced speech recognizer that is configured to obtain, from the confusion matrix manager, using output of the acoustic model associated with the enhanced speech recognizer, the substitute pronunciations before inputting the substitute pronunciations to the language model associated with the enhanced speech recognizer, a transcription of another term that (i) is spoken by another user that is also associated with the like-pronunciation group, and (ii) has a phonetic transcription that includes the one or more corresponding phones based on the one or more phones of the expected phonetic transcription being designated as a substitute pronunciation for the one or more corresponding phones of the actual phonetic transcription; and inputting, by the enhanced speech recognizer, using the transcription of another term that (i) is spoken by another user that is also associated with the like-pronunciation group, and (ii) has a phonetic transcription that includes the one or more corresponding phones, the one or more phones of the expected phonetic transcription that is designated as the substitute pronunciation for the one or more corresponding phones of the actual phonetic transcription to the language model associated with the enhanced speech recognizer. 2. The computer-implemented method of claim 1 , further comprising storing data of a mapping between the substitute pronunciation and the one or more corresponding phones of the actual phonetic transcription for the term in a database.

1. A computer-implemented visualization system for information analysis, the system comprising: a user interface; a processor and a memory coupled thereto, the memory storing instructions and data therein to configure the execution of the processor to configure a space on the user interface for marshalling evidence therein, the processor further configured to: visually represent a plurality of information excerpts from at least one information source in a spatial arrangement in the space on the user interface; and receive user input to manipulate the spatial arrangement of the plurality of information excerpts with respect to one another on the user interface as directed by the user for defining the evidence; receive analysis content on the user interface for associating with the plurality of information excerpts to facilitate visual cognition of the evidence in accordance with the manipulated spatial arrangement.

1. A computer-implemented visualization system for information analysis, the system comprising: a user interface; a processor and a memory coupled thereto, the memory storing instructions and data therein to configure the execution of the processor to configure a space on the user interface for marshalling evidence therein, the processor further configured to: visually represent a plurality of information excerpts from at least one information source in a spatial arrangement in the space on the user interface; and receive user input to manipulate the spatial arrangement of the plurality of information excerpts with respect to one another on the user interface as directed by the user for defining the evidence; receive analysis content on the user interface for associating with the plurality of information excerpts to facilitate visual cognition of the evidence in accordance with the manipulated spatial arrangement. 14. The visualization system of claim 1 wherein the processor is further configured to represent the information on the user interface as data objects movable in said space and to visualize a first portion of said space and float a selected data object over data objects not selected to float in said space, whereby, while moving along a path to visualize a second portion of said space, said data objects not selected to float and located along the path are visualized under said selected data object.

9. A method as recited in claim 1 , further comprising transmitting a message to an interested object that registered previously to be informed of changes to the first data bearing object.

9. A method as recited in claim 1 , further comprising transmitting a message to an interested object that registered previously to be informed of changes to the first data bearing object. 10. A method as recited in claim 9 , wherein the interested object is one of a set of one or more interested objects each of which has registered previously to be informed of changes to the first data bearing object.

1. A method of providing services in a network, the method comprising: storing structured service documents defining available services in a database in at least one network element; receiving a service request in the at least one network element from a service requestor, the service request comprising a structured request document, the structured request document containing a plurality of nodes; forming a Path and Parent Associated Node (PPAN) element for each node in the structured request document, each PPAN element being a data structure containing a path level of a current node in the structured request document, a name and value pair associated with the current element, and a name and value pair of a parent element of the current element, the PPAN element not containing additional information about structure of the structured request document other than the path level of the current node and the parent-child relationship of the current node and its parent node; using the PPAN elements from the structured request document to identify a subset of the stored structured service documents that contain data and structure that match the PPAN elements; and providing to the service requestor, at least part of an structured service document in the identified subset of structured service documents to enable the service requestor to access the service defined by the structured service document of which at least part was provided.

1. A method of providing services in a network, the method comprising: storing structured service documents defining available services in a database in at least one network element; receiving a service request in the at least one network element from a service requestor, the service request comprising a structured request document, the structured request document containing a plurality of nodes; forming a Path and Parent Associated Node (PPAN) element for each node in the structured request document, each PPAN element being a data structure containing a path level of a current node in the structured request document, a name and value pair associated with the current element, and a name and value pair of a parent element of the current element, the PPAN element not containing additional information about structure of the structured request document other than the path level of the current node and the parent-child relationship of the current node and its parent node; using the PPAN elements from the structured request document to identify a subset of the stored structured service documents that contain data and structure that match the PPAN elements; and providing to the service requestor, at least part of an structured service document in the identified subset of structured service documents to enable the service requestor to access the service defined by the structured service document of which at least part was provided. 6. The method of claim 1 , wherein each PPAN element comprises attribute name and value pairs associated with the parent node.

1. A method for voiceprint based location awareness comprising: receiving a speech from a speaker proximate to at least one of a plurality of microphones within an environment; processing the speech to produce an utterance to determine the identity of the speaker, wherein the identity of the speaker is associated with a voiceprint, wherein the identity is associated with a user credentials of a computing system, wherein the user credentials uniquely identifies the user within the computing system; analyzing the utterance to establish a zone in which the speaker is present, wherein the zone is a bounded region within the environment, wherein the analyzing comprises of at least one triangulation computation that determines a user location based in part upon acoustic echoes unique to the bounded region resulting from the speech or from ambient noise in the environment; and mapping the zone within the environment to determine a location of the speaker.

1. A method for voiceprint based location awareness comprising: receiving a speech from a speaker proximate to at least one of a plurality of microphones within an environment; processing the speech to produce an utterance to determine the identity of the speaker, wherein the identity of the speaker is associated with a voiceprint, wherein the identity is associated with a user credentials of a computing system, wherein the user credentials uniquely identifies the user within the computing system; analyzing the utterance to establish a zone in which the speaker is present, wherein the zone is a bounded region within the environment, wherein the analyzing comprises of at least one triangulation computation that determines a user location based in part upon acoustic echoes unique to the bounded region resulting from the speech or from ambient noise in the environment; and mapping the zone within the environment to determine a location of the speaker. 9. The method of claim 1 , confirming the geographic region using a GPS equipped device, wherein mapping of the zone for the speaker based on the voice print is used to supplement presence data for enclosed environments where GPS signals are unreliable due to radio frequency interference.

50. A non-transitory computer readable storage medium storing a computer program product, comprising: code for causing display of at least one user page for receiving user input that is capable of being used to define a user profile associated with a user; code for receiving a selection of content, utilizing the at least one user page; code for delivering different portions of the content to the user utilizing a plurality of delivery modes including at least three of: a SMS delivery mode, a MMS delivery mode, an IVR delivery mode, a SMTP delivery mode, a GSM delivery mode, an Internet delivery mode, a GPRS delivery mode, and a portable device-related delivery mode facilitated by application code; code for delivering a first portion of the content to the user utilizing a first delivery mode including at least one of: the SMS delivery mode, the MMS delivery mode, the IVR delivery mode, the SMTP delivery mode, the GSM delivery mode, the Internet delivery mode, the GPRS delivery mode, and a portable device-related delivery mode facilitated by the application code; code for delivering a second portion of the content to the user utilizing a second delivery mode that is different from the first delivery mode and includes at least one of: the SMS delivery mode, the MMS delivery mode, the IVR delivery mode, the SMTP delivery mode, the GSM delivery mode, the Internet delivery mode, the GPRS delivery mode, and the portable device-related delivery mode facilitated by application code; code for receiving a first command associated with a first content; code for receiving a second command associated with a second content; code for, in response to the receipt of the first command associated with the first content, delivering the first content; code for, in response to the receipt of the second command associated with the second content, delivering the second content; and code for delivering at least a portion of the content to the user via an application which is configured for installation on a portable device to: receive at least part of the content; format the at least part of the content involving at least one of a font, a color, or a placement associated with the at least part of the content; and store a plurality of words that are reused in association with the at least part of the content.

50. A non-transitory computer readable storage medium storing a computer program product, comprising: code for causing display of at least one user page for receiving user input that is capable of being used to define a user profile associated with a user; code for receiving a selection of content, utilizing the at least one user page; code for delivering different portions of the content to the user utilizing a plurality of delivery modes including at least three of: a SMS delivery mode, a MMS delivery mode, an IVR delivery mode, a SMTP delivery mode, a GSM delivery mode, an Internet delivery mode, a GPRS delivery mode, and a portable device-related delivery mode facilitated by application code; code for delivering a first portion of the content to the user utilizing a first delivery mode including at least one of: the SMS delivery mode, the MMS delivery mode, the IVR delivery mode, the SMTP delivery mode, the GSM delivery mode, the Internet delivery mode, the GPRS delivery mode, and a portable device-related delivery mode facilitated by the application code; code for delivering a second portion of the content to the user utilizing a second delivery mode that is different from the first delivery mode and includes at least one of: the SMS delivery mode, the MMS delivery mode, the IVR delivery mode, the SMTP delivery mode, the GSM delivery mode, the Internet delivery mode, the GPRS delivery mode, and the portable device-related delivery mode facilitated by application code; code for receiving a first command associated with a first content; code for receiving a second command associated with a second content; code for, in response to the receipt of the first command associated with the first content, delivering the first content; code for, in response to the receipt of the second command associated with the second content, delivering the second content; and code for delivering at least a portion of the content to the user via an application which is configured for installation on a portable device to: receive at least part of the content; format the at least part of the content involving at least one of a font, a color, or a placement associated with the at least part of the content; and store a plurality of words that are reused in association with the at least part of the content. 53. The non-transitory computer readable storage medium of claim 50 , wherein the computer program product is operable such that the code for delivering is for delivering the different portions of the content to the user utilizing the plurality of delivery modes including each of the SMS delivery mode, the SMTP delivery mode, the Internet delivery mode, and the portable device-related delivery mode facilitated by application code.

30. A method for creating a ternary bitmap of an audio segment from an outbound call, the method comprising the steps of: a) computing a binary acoustic fingerprint bitmap of the audio segment; b) deleting a first number of samples from the audio segment; c) after step (b), computing another binary acoustic fingerprint bitmap of the audio segment; d) repeating steps (b) and (c) a plurality of times to create a plurality of binary acoustic fingerprint bitmaps; and e) combining the plurality of binary acoustic fingerprint bitmaps into the ternary bitmap, where each bit in the ternary bitmap is determined as follows: e.1) If a bit is 0 in a first predetermined number of the plurality of binary bitmaps, set the bit in the ternary bitmap to 0; e.2) If a bit is 1 in a second predetermined number of the plurality of binary bitmaps, set the bit in the ternary bitmap to 1; and e.3) Otherwise, set the bit of the ternary bitmap to *, wherein * is a Don't Care.

30. A method for creating a ternary bitmap of an audio segment from an outbound call, the method comprising the steps of: a) computing a binary acoustic fingerprint bitmap of the audio segment; b) deleting a first number of samples from the audio segment; c) after step (b), computing another binary acoustic fingerprint bitmap of the audio segment; d) repeating steps (b) and (c) a plurality of times to create a plurality of binary acoustic fingerprint bitmaps; and e) combining the plurality of binary acoustic fingerprint bitmaps into the ternary bitmap, where each bit in the ternary bitmap is determined as follows: e.1) If a bit is 0 in a first predetermined number of the plurality of binary bitmaps, set the bit in the ternary bitmap to 0; e.2) If a bit is 1 in a second predetermined number of the plurality of binary bitmaps, set the bit in the ternary bitmap to 1; and e.3) Otherwise, set the bit of the ternary bitmap to *, wherein * is a Don't Care. 35. The method of claim 30 , wherein said audio segment comprises an audio segment from an outbound telephone call.

10. A user interface system for a process control system, comprising: a computer processor; a computer-readable storage medium having instructions stored thereon which, when executed by the computer processor provide: a graphic display editor to configure a process graphic display having a graphic display element representative of a process plant element of the process control system, wherein the process plant element corresponds to an object entity within an object oriented programming environment that includes the graphic display element, and wherein configuration information for the process graphic display generated by the graphic display editor is stored in the computer-readable medium in accordance with a declarative language, the object entity including the configuration information; a conversion engine for generating commands in accordance with a further declarative language different from the declarative language based on graphics related information of the configuration information and for generating a data source reference file from the configuration information for the process graphic display that identifies a data source for data to be displayed in connection with the graphic display element, and generating commands specifying a data conversion routine for the graphic display element for converting data values from the data source to graphically and dynamically display the data from the data source in association with the display of the graphics display element and to simulate on-line operation of the process plant element, wherein the process graphic display operates to depict both on-line and simulation operation of the process plant element that includes displaying data calculated from the simulation of the process plant element via the graphic display element; and a graphics rendering engine to generate a depiction of the process graphic display during runtime based on commands derived from the configuration information.

10. A user interface system for a process control system, comprising: a computer processor; a computer-readable storage medium having instructions stored thereon which, when executed by the computer processor provide: a graphic display editor to configure a process graphic display having a graphic display element representative of a process plant element of the process control system, wherein the process plant element corresponds to an object entity within an object oriented programming environment that includes the graphic display element, and wherein configuration information for the process graphic display generated by the graphic display editor is stored in the computer-readable medium in accordance with a declarative language, the object entity including the configuration information; a conversion engine for generating commands in accordance with a further declarative language different from the declarative language based on graphics related information of the configuration information and for generating a data source reference file from the configuration information for the process graphic display that identifies a data source for data to be displayed in connection with the graphic display element, and generating commands specifying a data conversion routine for the graphic display element for converting data values from the data source to graphically and dynamically display the data from the data source in association with the display of the graphics display element and to simulate on-line operation of the process plant element, wherein the process graphic display operates to depict both on-line and simulation operation of the process plant element that includes displaying data calculated from the simulation of the process plant element via the graphic display element; and a graphics rendering engine to generate a depiction of the process graphic display during runtime based on commands derived from the configuration information. 18. The user interface system of claim 10 , wherein the further declarative language sets forth the graphics-related language in accordance with a vector graphics format.

1. A method of noise-robust speech classification, comprising: inputting classification parameters to a speech classifier from external components; generating, in the speech classifier, internal classification parameters from at least one of the input classification parameters; setting a Normalized Auto-correlation Coefficient Function threshold, wherein setting the Normalized Auto-correlation Coefficient Function threshold comprises: increasing a first voicing threshold for classifying a current frame as unvoiced when a signal-to-noise ratio (SNR) fails to exceed a first SNR threshold, wherein the first voicing threshold is not adjusted if the SNR is above the first SNR threshold, and increasing an energy threshold for classifying the current frame as unvoiced when the noise estimate exceeds a noise estimate threshold, wherein the energy threshold is not adjusted if the noise estimate is below the noise estimate threshold; and determining a speech mode classification based on a the first voicing threshold and the energy threshold.

1. A method of noise-robust speech classification, comprising: inputting classification parameters to a speech classifier from external components; generating, in the speech classifier, internal classification parameters from at least one of the input classification parameters; setting a Normalized Auto-correlation Coefficient Function threshold, wherein setting the Normalized Auto-correlation Coefficient Function threshold comprises: increasing a first voicing threshold for classifying a current frame as unvoiced when a signal-to-noise ratio (SNR) fails to exceed a first SNR threshold, wherein the first voicing threshold is not adjusted if the SNR is above the first SNR threshold, and increasing an energy threshold for classifying the current frame as unvoiced when the noise estimate exceeds a noise estimate threshold, wherein the energy threshold is not adjusted if the noise estimate is below the noise estimate threshold; and determining a speech mode classification based on a the first voicing threshold and the energy threshold. 13. The method of claim 1 , wherein the internal parameters comprise a three frame averaged voiced energy parameter.

15. A non-transitory computer-readable medium having instructions stored thereon that, if executed by a computing device, cause the computing device to perform operations comprising: displaying a plurality of search query terms and additional terms derived from the search query terms, wherein each of the plurality of search query terms and additional terms is contextually located relative to the other search query terms and the other additional terms, wherein a first additional term is positioned between a first query term and a second additional term based upon an association of the first additional term with the first query term and the second additional term; displaying a plurality of links associated with the plurality of search query terms and additional terms; and displaying a plurality of images, wherein each of the plurality of images is associated with and located adjacent to at least one of the plurality of search query terms or additional terms, and wherein at least one of the plurality of images is derived from one of the links associated with the plurality of search query terms and additional terms.

15. A non-transitory computer-readable medium having instructions stored thereon that, if executed by a computing device, cause the computing device to perform operations comprising: displaying a plurality of search query terms and additional terms derived from the search query terms, wherein each of the plurality of search query terms and additional terms is contextually located relative to the other search query terms and the other additional terms, wherein a first additional term is positioned between a first query term and a second additional term based upon an association of the first additional term with the first query term and the second additional term; displaying a plurality of links associated with the plurality of search query terms and additional terms; and displaying a plurality of images, wherein each of the plurality of images is associated with and located adjacent to at least one of the plurality of search query terms or additional terms, and wherein at least one of the plurality of images is derived from one of the links associated with the plurality of search query terms and additional terms. 16. The computer-readable medium of claim 15 , wherein each image of the plurality of images is at least one of a favorite icon, an animated image, a thumbnail of a webpage image, or a video.

1. A non-transitory computer readable storage medium having embodied thereon a program, the program being executable by a processor to perform a method to view documents with legal categories, the method comprising: providing example documents representative of specified legal criteria defining a legal category; categorizing documents based on the specified legal criteria exemplified by the example documents; assigning confidence levels to legal categorizations of at least one of the categorized documents; loading categorized documents consistent with the legal category into a queue; assigning template buttons to the categorized documents, the template buttons having a pre-populated coding schema; transmitting to display a categorized document from the queue; and in response to a single input action, accepting one or more classifications associated with the legal category of the categorized document and with the single input action invoking a subsequent categorized document from the queue for viewing.

1. A non-transitory computer readable storage medium having embodied thereon a program, the program being executable by a processor to perform a method to view documents with legal categories, the method comprising: providing example documents representative of specified legal criteria defining a legal category; categorizing documents based on the specified legal criteria exemplified by the example documents; assigning confidence levels to legal categorizations of at least one of the categorized documents; loading categorized documents consistent with the legal category into a queue; assigning template buttons to the categorized documents, the template buttons having a pre-populated coding schema; transmitting to display a categorized document from the queue; and in response to a single input action, accepting one or more classifications associated with the legal category of the categorized document and with the single input action invoking a subsequent categorized document from the queue for viewing. 9. The non-transitory computer readable storage medium of claim 1 , the method further comprising refining the legal category based on ongoing user data input.

13. The automated task classification system of claim 1 , wherein the association between the meaningful phrases and the predetermined set of task objectives is based, at last partly, on a measure of commonality within a language of the meaningful phrases.

13. The automated task classification system of claim 1 , wherein the association between the meaningful phrases and the predetermined set of task objectives is based, at last partly, on a measure of commonality within a language of the meaningful phrases. 14. The automated task classification system of claim 13 , wherein the measure of commonality is a mutual information measure.

15. A computing system configured to generate a register interface module during a design of an integrated circuit, comprising: a central processing unit (CPU); a memory in communication with the CPU, the memory containing register interface program instructions configured to be executed by the CPU and a functional specification of the integrated circuit, wherein execution of the program instructions cause the processor to perform a method comprising: identifying successive register descriptions within the functional specification; extracting register information from each of the successive register descriptions; verifying a name assigned to each of the successive register descriptions is unique among the register descriptions; and generating a register definition file once each name has been verified as being unique.

15. A computing system configured to generate a register interface module during a design of an integrated circuit, comprising: a central processing unit (CPU); a memory in communication with the CPU, the memory containing register interface program instructions configured to be executed by the CPU and a functional specification of the integrated circuit, wherein execution of the program instructions cause the processor to perform a method comprising: identifying successive register descriptions within the functional specification; extracting register information from each of the successive register descriptions; verifying a name assigned to each of the successive register descriptions is unique among the register descriptions; and generating a register definition file once each name has been verified as being unique. 16. The computing system of claim 15 , wherein the functional specification is stored in a text-based format.

11. A non-transitory computer readable storage medium storing computer readable instructions that instruct a processor to perform a plurality of operations, including the steps of: identifying a landing page uniform resource locator (URL) from among a plurality of mobile web page URLs that correspond to a plurality of mobile web pages accessible with a limited capability browser application of a limited capability computing device; associating the landing page URL with a web host based at least in part on a token determined from the landing page URL, wherein the web host includes web pages, the web pages being accessible with a browser application of a general purpose computing device but not accessible with a limited capability browser application of a limited capability mobile device; associating the landing page URL with a web category based at least in part on the web host, wherein the web category identifies a content topic shared by web pages, the web pages being accessible with a browser application of a general purpose computing device but not accessible with a limited capability browser application of a limited capability mobile device; and providing the landing page URL, the token, information associated with the web host, and the category to a search index that is used to associate a search term with the landing page URL based at least in part on at least one of the token, the web host, or the category.

11. A non-transitory computer readable storage medium storing computer readable instructions that instruct a processor to perform a plurality of operations, including the steps of: identifying a landing page uniform resource locator (URL) from among a plurality of mobile web page URLs that correspond to a plurality of mobile web pages accessible with a limited capability browser application of a limited capability computing device; associating the landing page URL with a web host based at least in part on a token determined from the landing page URL, wherein the web host includes web pages, the web pages being accessible with a browser application of a general purpose computing device but not accessible with a limited capability browser application of a limited capability mobile device; associating the landing page URL with a web category based at least in part on the web host, wherein the web category identifies a content topic shared by web pages, the web pages being accessible with a browser application of a general purpose computing device but not accessible with a limited capability browser application of a limited capability mobile device; and providing the landing page URL, the token, information associated with the web host, and the category to a search index that is used to associate a search term with the landing page URL based at least in part on at least one of the token, the web host, or the category. 12. The non-transitory computer readable storage medium of claim 11 further storing computer readable instructions that instruct the processor to perform the steps of: determining a cluster of mobile web page URLs from among the plurality of mobile web page URLs, wherein the cluster is determined at least in part based on a parameter that exists in each web pager URL in the cluster; selecting a cluster URL from among the cluster of mobile web pager URLs, wherein the cluster URL represents the cluster; determining a token from the cluster URL, wherein the token is determined at least in part based on a frequency with which the token appears in the cluster of mobile web page URLs; and determining whether the cluster URL satisfies at least one landing page criterion.

16. The medium of claim 11 wherein the user input comprises at least one of choosing and defining at least one filter that specifies rules for selecting particular safe operating area assertion violations.

16. The medium of claim 11 wherein the user input comprises at least one of choosing and defining at least one filter that specifies rules for selecting particular safe operating area assertion violations. 17. The medium of claim 16 wherein at least one filter inherits at least one rule from at least one other filter.

2. A fuzzy rule acquisition method according to claim 1, further comprising: a step of determining that there is a missing fuzzy rule if said step (d) determines that there is no contradiction for all of said fuzzy rules.

2. A fuzzy rule acquisition method according to claim 1, further comprising: a step of determining that there is a missing fuzzy rule if said step (d) determines that there is no contradiction for all of said fuzzy rules. 4. A fuzzy rule acquisition method according to claim 2, further comprising the steps of: obtaining at least one of the errors and grades of said propositions based on said inference error by referring to at least one of combinations of IF parts of said fuzzy rule, combinations of THEN parts of said fuzzy rules, and both of the combinations of the IF parts and the THEN parts of said fuzzy rules; if it is determined that there is a missing rule, selecting IF parts based on at least one of the errors and grades of the propositions of said respective IF parts of said fuzzy rules; and coupling said selected IF parts to generate the IF part of said missing fuzzy rule.

11. A computer program product comprising a computer-readable medium storing computer executable instructions which, when executed by one or more processors, cause said one or more processors to provide a method of providing secure credentials for accessing a target resource comprising: receiving a connection request to the target resource from an unattended requestor application, the connection request including target resource information identifying the target resource and configuration information necessary to authenticate the requestor application, wherein the configuration information of the requestor application is fingerprint information, which uniquely identifies a node of the requestor application; decoding the request to extract the target resource information and the configuration information required by a credential manager to authenticate the requestor application and to retrieve the secure credentials for accessing the target resource, the credential manager managing and storing credentials for the target resource; securely communicating the extracted information to the credential manager; based on the extracted information, authenticating, by the credential manager, the requestor application and in response to the success of the authentication retrieving, by the credential manager, corresponding one or more credential for accessing the target resource; generating a native database connection request to the target resource, including the retrieved credential; and passing the native database connection request to the native database connectivity component to establish the connection.

11. A computer program product comprising a computer-readable medium storing computer executable instructions which, when executed by one or more processors, cause said one or more processors to provide a method of providing secure credentials for accessing a target resource comprising: receiving a connection request to the target resource from an unattended requestor application, the connection request including target resource information identifying the target resource and configuration information necessary to authenticate the requestor application, wherein the configuration information of the requestor application is fingerprint information, which uniquely identifies a node of the requestor application; decoding the request to extract the target resource information and the configuration information required by a credential manager to authenticate the requestor application and to retrieve the secure credentials for accessing the target resource, the credential manager managing and storing credentials for the target resource; securely communicating the extracted information to the credential manager; based on the extracted information, authenticating, by the credential manager, the requestor application and in response to the success of the authentication retrieving, by the credential manager, corresponding one or more credential for accessing the target resource; generating a native database connection request to the target resource, including the retrieved credential; and passing the native database connection request to the native database connectivity component to establish the connection. 15. The computer program product of claim 11 , wherein the function modules comprise Java Database Connectivity (JDBC) Application Programming Interfaces (APIs).

25. A computer system for making probabilistic inferences based on a belief network so as to assist a user in making a decision in a decision-making field, comprising: a processor; and a storage device, connected to the processor and storing computer executable instructions and a data structure, the data structure storing a belief network, the belief network probabilistically relating plurality of different input variables to a plurality of different output decisions; wherein the storage device further stores: expert knowledge comprising an initial belief network with nodes and a decision graph in each node containing probabilities, each decision graph having nodes corresponding to a plurality of the nodes of the belief network; and a database containing cases of real-world instances of decisions made in the decision-making field; wherein the processor, in response to execution of the instructions: generates the stored belief network by receiving an initial version of the belief network, scoring each decision graph in the initial version of the belief network based on the cases in the database, adjusting at least one of the decision graphs to improve the score for the at least one of the decision graphs, and adjusting the initial version of the belief network so as to form an enhanced version of the belief network that reflects the adjustment to the at least one of the decision graphs when the adjustment indicates that a relationship in the enhanced version of the belief network exists that the initial belief network does not reflect, and for storing the enhanced version of the belief network as the stored belief network; and receives an observation for at least one of the input variables in the belief network, and performs, using the stored belief network, probabilistic inference responsive to the observation so as to specify one of the output decisions to the user for assisting the user in making the decision.

25. A computer system for making probabilistic inferences based on a belief network so as to assist a user in making a decision in a decision-making field, comprising: a processor; and a storage device, connected to the processor and storing computer executable instructions and a data structure, the data structure storing a belief network, the belief network probabilistically relating plurality of different input variables to a plurality of different output decisions; wherein the storage device further stores: expert knowledge comprising an initial belief network with nodes and a decision graph in each node containing probabilities, each decision graph having nodes corresponding to a plurality of the nodes of the belief network; and a database containing cases of real-world instances of decisions made in the decision-making field; wherein the processor, in response to execution of the instructions: generates the stored belief network by receiving an initial version of the belief network, scoring each decision graph in the initial version of the belief network based on the cases in the database, adjusting at least one of the decision graphs to improve the score for the at least one of the decision graphs, and adjusting the initial version of the belief network so as to form an enhanced version of the belief network that reflects the adjustment to the at least one of the decision graphs when the adjustment indicates that a relationship in the enhanced version of the belief network exists that the initial belief network does not reflect, and for storing the enhanced version of the belief network as the stored belief network; and receives an observation for at least one of the input variables in the belief network, and performs, using the stored belief network, probabilistic inference responsive to the observation so as to specify one of the output decisions to the user for assisting the user in making the decision. 27. The computer system of claim 25 wherein the at least one of the decision graphs has a leaf node and wherein the processor, in response to the stored instructions, adjusts the at least one of the decision graphs by performing a complete split on the leaf node.

12. A system for determining at least one location of at least one target in at least one document, comprising: at least one processor, wherein the at least one processor is configured for: creating, utilizing at least one localization module in communication with the at least one processor, information compiled from at least one training document, the information comprising at least one reference and at least one reference vector tying each reference to the at least one target, wherein the creating further comprises: finding, utilizing the at least one localization module, the at least one reference; creating, utilizing the at least one localization module, the at least one reference vector for each reference; performing variance filtering, utilizing the at least one localization module, on the at least one reference and the at least one reference vector from each document to obtain any similar references and any similar reference vectors from all documents; and using any similar references and any similar reference vectors, utilizing the at least one localization module, to create at least one dynamic variance network (DVN), the at least one DVN comprising at least one reference and at least one reference vector tying each reference to the at least one target; comparing, utilizing the at least one localization module, the at least one reference to at least one new reference in at least one new document to determine if there are any similar references that are possibly the at least one target, wherein similar references are: position similar, or type similar, or both; and wherein when the at least one new reference comprises at least one typo, at least one OCR mistake, or any combination thereof, the at least one new reference is determined to be the at least one target because of the at least one new reference's location; and applying the information, utilizing the at least one localization module, on at least one new document to determine at least one location of the at least one target on the at least one new document, wherein the applying further comprises: comparing, utilizing the at least one localization module, any similar references to the at least one new reference on at least one new document to determine if there are any matching references; and using, utilizing the at least one localization module, any similar reference vectors corresponding to any matching references to determine the at least one target on the at least one new document.

12. A system for determining at least one location of at least one target in at least one document, comprising: at least one processor, wherein the at least one processor is configured for: creating, utilizing at least one localization module in communication with the at least one processor, information compiled from at least one training document, the information comprising at least one reference and at least one reference vector tying each reference to the at least one target, wherein the creating further comprises: finding, utilizing the at least one localization module, the at least one reference; creating, utilizing the at least one localization module, the at least one reference vector for each reference; performing variance filtering, utilizing the at least one localization module, on the at least one reference and the at least one reference vector from each document to obtain any similar references and any similar reference vectors from all documents; and using any similar references and any similar reference vectors, utilizing the at least one localization module, to create at least one dynamic variance network (DVN), the at least one DVN comprising at least one reference and at least one reference vector tying each reference to the at least one target; comparing, utilizing the at least one localization module, the at least one reference to at least one new reference in at least one new document to determine if there are any similar references that are possibly the at least one target, wherein similar references are: position similar, or type similar, or both; and wherein when the at least one new reference comprises at least one typo, at least one OCR mistake, or any combination thereof, the at least one new reference is determined to be the at least one target because of the at least one new reference's location; and applying the information, utilizing the at least one localization module, on at least one new document to determine at least one location of the at least one target on the at least one new document, wherein the applying further comprises: comparing, utilizing the at least one localization module, any similar references to the at least one new reference on at least one new document to determine if there are any matching references; and using, utilizing the at least one localization module, any similar reference vectors corresponding to any matching references to determine the at least one target on the at least one new document. 19. The system of claim 12 , wherein the at least one reference and/or the at least one new reference is: merged with at least one other reference; or split into at least two references; or both.

17. The method according to claim 14 , further comprising: characterizing clustering of the at least three different types of objects using at least three different tentative cluster characterization matrices, respectively; and iteratively improving each tentative cluster characterization matrix using linear combinations of the associated feature matrix and the associated relation matrix other matrices.

17. The method according to claim 14 , further comprising: characterizing clustering of the at least three different types of objects using at least three different tentative cluster characterization matrices, respectively; and iteratively improving each tentative cluster characterization matrix using linear combinations of the associated feature matrix and the associated relation matrix other matrices. 18. The method according to claim 17 , wherein during each iteration, a tentative cluster matrix is updated as the k leading eigenvectors of the linear combinations.

2. A computer-implemented method comprising: receiving, at a translation server in communication with a network, a request for a translation of text in a source language to a target language, the request including an identifier associated with a pre-defined term translator specific to a user that identified the text for translation; translating, at the translation server, at least a portion of the text from the source language to the target language to obtain a translated version of the text in the target language, the translating including: identifying the pre-defined term translator based on the identifier; determining one or more terms from the text corresponding to the identified pre-defined term translator; applying the pre-defined term translator to the one or more terms; and translating a set of additional terms from the text from the source language to the target language via a translation model; and providing, via the translation server, the translated version of the text to a web server.

2. A computer-implemented method comprising: receiving, at a translation server in communication with a network, a request for a translation of text in a source language to a target language, the request including an identifier associated with a pre-defined term translator specific to a user that identified the text for translation; translating, at the translation server, at least a portion of the text from the source language to the target language to obtain a translated version of the text in the target language, the translating including: identifying the pre-defined term translator based on the identifier; determining one or more terms from the text corresponding to the identified pre-defined term translator; applying the pre-defined term translator to the one or more terms; and translating a set of additional terms from the text from the source language to the target language via a translation model; and providing, via the translation server, the translated version of the text to a web server. 7. The method of claim 2 , wherein the determining the one or more terms includes determining a segment consisting of the one or more terms and applying the pre-defined term translator to the segment.

1. An electronic device, comprising: a touch screen display; one or more processors; memory; and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for: displaying at least a portion of a structured electronic document on the touch screen display, wherein the structured electronic document comprises a plurality of boxes of content and the displayed portion includes at least a first box of content and a second box of content, the first box of content being displayed at a location on the touch screen display that is separate from a location of the second box of content; detecting a first gesture at a location on the displayed portion of the structured electronic document; and in response to detecting the first gesture: in accordance with the first gesture being located at the first box of content in the plurality of boxes of content, enlarging and translating the structured electronic document so that the first box of content is displayed on the touch screen display and the second box of content is not displayed on the touch screen display; in accordance with the first gesture being located at the second box of content in the plurality of boxes of content, enlarging and translating the structured electronic document so that the second box of content is displayed on the touch screen display and the first box of content is not displayed on the touch screen display.

1. An electronic device, comprising: a touch screen display; one or more processors; memory; and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for: displaying at least a portion of a structured electronic document on the touch screen display, wherein the structured electronic document comprises a plurality of boxes of content and the displayed portion includes at least a first box of content and a second box of content, the first box of content being displayed at a location on the touch screen display that is separate from a location of the second box of content; detecting a first gesture at a location on the displayed portion of the structured electronic document; and in response to detecting the first gesture: in accordance with the first gesture being located at the first box of content in the plurality of boxes of content, enlarging and translating the structured electronic document so that the first box of content is displayed on the touch screen display and the second box of content is not displayed on the touch screen display; in accordance with the first gesture being located at the second box of content in the plurality of boxes of content, enlarging and translating the structured electronic document so that the second box of content is displayed on the touch screen display and the first box of content is not displayed on the touch screen display. 10. The device of claim 1 , wherein the displayed portion of the structured electronic document before said detecting of the first gesture comprises a third box of content displayed adjacent to the first box of content in a different location on the touch screen display to the second box of content, the one or more programs further including instructions for, in response to detecting the first gesture when the first gesture is located at the first box of content, enlarging and translating the structured electronic document so that a portion of the third box of content is displayed on the touch screen display.

24. A method for generating and communicating a geofeed having social media content that is aggregated from a plurality of social media content providers that obtain the social media content from users and provide the social media content to others, the method being implemented in a computer that includes one or more processors, processors, the method comprising: receiving, by the one or more processors, a request to obtain social media content aggregated from a user-selectable plurality of social media content providers based on a previously created geofeed definition, the request comprising an identification of the geofeed definition that comprises a specification of one or more geographically definable locations and at least one filter parameter; obtaining, by the one or more processors, the geofeed definition based on the received request; identifying, by the one or more processors, the user-selectable plurality of social media content providers based on the geofeed definition; determining, by the one or more processors, the specification of the one or more geographically definable locations from the geofeed definition; generating, by the one or more processors, a plurality of formatted requests each to be communicated to an application programming interface associated with a corresponding one of the user-selectable plurality of social media content providers, each formatted request being generated based on the geofeed definition and a format used by the corresponding one of the user-selectable plurality of social media content providers; communicating, by the one or more processors, the plurality of formatted requests to the application programming interface associated with the corresponding ones of the user-selectable plurality of social media content providers; receiving, by the one or more processors, a respective set of results from the user-selectable plurality of social media content providers that satisfies at least a portion of the geofeed definition; aggregating, by the one or more processors, the social media content from the respective set of results received from the user-selectable plurality of social media content providers; and communicating, by the one or more processors, the aggregated social media content.

24. A method for generating and communicating a geofeed having social media content that is aggregated from a plurality of social media content providers that obtain the social media content from users and provide the social media content to others, the method being implemented in a computer that includes one or more processors, processors, the method comprising: receiving, by the one or more processors, a request to obtain social media content aggregated from a user-selectable plurality of social media content providers based on a previously created geofeed definition, the request comprising an identification of the geofeed definition that comprises a specification of one or more geographically definable locations and at least one filter parameter; obtaining, by the one or more processors, the geofeed definition based on the received request; identifying, by the one or more processors, the user-selectable plurality of social media content providers based on the geofeed definition; determining, by the one or more processors, the specification of the one or more geographically definable locations from the geofeed definition; generating, by the one or more processors, a plurality of formatted requests each to be communicated to an application programming interface associated with a corresponding one of the user-selectable plurality of social media content providers, each formatted request being generated based on the geofeed definition and a format used by the corresponding one of the user-selectable plurality of social media content providers; communicating, by the one or more processors, the plurality of formatted requests to the application programming interface associated with the corresponding ones of the user-selectable plurality of social media content providers; receiving, by the one or more processors, a respective set of results from the user-selectable plurality of social media content providers that satisfies at least a portion of the geofeed definition; aggregating, by the one or more processors, the social media content from the respective set of results received from the user-selectable plurality of social media content providers; and communicating, by the one or more processors, the aggregated social media content. 25. The method of claim 24 , wherein communicating the aggregated social media content comprises: communicating, by the one or more processors, the aggregated social media content via an application programming interface exposed by the one or more processors.

1. A method comprising: generating multimedia object descriptions, from multimedia objects in multimedia content, for an identified multimedia type of multimedia content; generating non-hierarchical entity relation graph descriptions based on the multimedia object descriptions, wherein the non-hierarchical entity relation graph descriptions relate to communication between the multimedia objects in the multimedia content; generating an integration description scheme which creates, when implemented, relationships between the multimedia object descriptions and the non-hierarchical entity relations graph descriptions; and generating a description record to represent content embedded within the multimedia content by integrating the multimedia object descriptions and the non-hierarchical entity relation graph descriptions, wherein the integrating occurs according to the integration description scheme.

1. A method comprising: generating multimedia object descriptions, from multimedia objects in multimedia content, for an identified multimedia type of multimedia content; generating non-hierarchical entity relation graph descriptions based on the multimedia object descriptions, wherein the non-hierarchical entity relation graph descriptions relate to communication between the multimedia objects in the multimedia content; generating an integration description scheme which creates, when implemented, relationships between the multimedia object descriptions and the non-hierarchical entity relations graph descriptions; and generating a description record to represent content embedded within the multimedia content by integrating the multimedia object descriptions and the non-hierarchical entity relation graph descriptions, wherein the integrating occurs according to the integration description scheme. 2. The method of claim 1 , wherein the multimedia object descriptions further comprise an object hierarchy element and an entity relation graph element.

1. A method comprising, by a computing device: receiving, from a client system of a first user, a text query inputted by the first user at a query field of a currently accessed interface of an online social network; generating a plurality of structured queries based on the text query, each structured query comprising one or more query tokens, wherein one or more of the query tokens are unique query tokens comprising references to one or more unique objects associated with the online social network, respectively; generating one or more search results corresponding to at least one of the structured queries; and sending, to the client system responsive to receiving the text query, instructions for displaying one or more suggested queries on the interface, wherein the one or more suggested queries correspond to one or more structured queries, respectively, at least one of the suggested queries being displayed with a preview of one or more search results matching the structured query corresponding to the suggested query, and wherein each suggested query that is displayed is selectable by the first user to retrieve search results matching the structured query corresponding to the selected suggested query.

1. A method comprising, by a computing device: receiving, from a client system of a first user, a text query inputted by the first user at a query field of a currently accessed interface of an online social network; generating a plurality of structured queries based on the text query, each structured query comprising one or more query tokens, wherein one or more of the query tokens are unique query tokens comprising references to one or more unique objects associated with the online social network, respectively; generating one or more search results corresponding to at least one of the structured queries; and sending, to the client system responsive to receiving the text query, instructions for displaying one or more suggested queries on the interface, wherein the one or more suggested queries correspond to one or more structured queries, respectively, at least one of the suggested queries being displayed with a preview of one or more search results matching the structured query corresponding to the suggested query, and wherein each suggested query that is displayed is selectable by the first user to retrieve search results matching the structured query corresponding to the selected suggested query. 19. The method of claim 1 , wherein each unique query token corresponds to a unique object selected from a plurality of unique objects related to contextual information of the first user.

3. The method of claim 1 , where generating the candidate words includes: matching the plurality of prefixes to a dictionary to determine words that begin with one or more of the plurality of prefixes.

3. The method of claim 1 , where generating the candidate words includes: matching the plurality of prefixes to a dictionary to determine words that begin with one or more of the plurality of prefixes. 4. The method of claim 3 , where determining the rank value associated with each of the candidate words includes: determining the rank value associated with the candidate word further based on: a value indicating a frequency of occurrence of the candidate word in documents of the user.

1. A computer implemented method for attaching an audio generated script to a document identifier within a data processing system, the computer implemented method comprising: creating a document identifier, the document identifier identifying a network address of a document to be opened and defining a format for a generated script; receiving a command from a user indicating that changes should be made to a document, the command including a recording of a spoken audio instruction from the user; converting the audio instruction into a command script; and forwarding the document identifier and the command script to a target location within a data processing system, the document identifier designating one or more underlying documents regardless of whether the one or more documents is open in an application or not open in an application.

1. A computer implemented method for attaching an audio generated script to a document identifier within a data processing system, the computer implemented method comprising: creating a document identifier, the document identifier identifying a network address of a document to be opened and defining a format for a generated script; receiving a command from a user indicating that changes should be made to a document, the command including a recording of a spoken audio instruction from the user; converting the audio instruction into a command script; and forwarding the document identifier and the command script to a target location within a data processing system, the document identifier designating one or more underlying documents regardless of whether the one or more documents is open in an application or not open in an application. 4. The computer implemented method of claim 1 , wherein the audio instruction is a sound file selected from the group consisting of a .wav file, a .raw file, a .ogg file, a .mp3 file, a .mp4 file, a .ra file, a .mpa file, a .mpc file, an .aiff file, an .au file, a .gsm file, a .dct file, a .vox file, an .aac file, a .wma file, a .msv file, and a .dvf file.

10. A customer-responsive computer program product stored on a non-transitory computer readable medium including computer executable code for analyzing electronic customer communication data, generating behavioral assessment data and generating a responsive communication, where the computer program product comprises instructions that, when executed: receive, by a server, electronic customer communication data of two or more types, wherein the server is configured to provide a user interface comprising a web site, web portal, or virtual portal, and wherein at least one of the two or more types of electronic customer communication data comprises social media data, update status, media feed, social media review, social media data stream, social media profile or social media account setup; identify a customer associated with the electronic customer communication data received by the server; analyze the electronic customer communication data by applying a predetermined linguistic-based psychological behavioral model to the electronic customer communication data for that identified customer; generate behavioral assessment data by the contact center based on said analyzing, the behavioral assessment data providing a personality type for the analyzed electronic customer communication data for that identified customer; generate a responsive communication based on the generated behavioral assessment data; and provide the responsive communication via the user interface.

10. A customer-responsive computer program product stored on a non-transitory computer readable medium including computer executable code for analyzing electronic customer communication data, generating behavioral assessment data and generating a responsive communication, where the computer program product comprises instructions that, when executed: receive, by a server, electronic customer communication data of two or more types, wherein the server is configured to provide a user interface comprising a web site, web portal, or virtual portal, and wherein at least one of the two or more types of electronic customer communication data comprises social media data, update status, media feed, social media review, social media data stream, social media profile or social media account setup; identify a customer associated with the electronic customer communication data received by the server; analyze the electronic customer communication data by applying a predetermined linguistic-based psychological behavioral model to the electronic customer communication data for that identified customer; generate behavioral assessment data by the contact center based on said analyzing, the behavioral assessment data providing a personality type for the analyzed electronic customer communication data for that identified customer; generate a responsive communication based on the generated behavioral assessment data; and provide the responsive communication via the user interface. 11. The product of claim 10 , wherein the server is a third-party server configured to send and receive communications.

3. The computer system of claim 1 , wherein said in-bound documents are purchase orders describing information related to buyer requests in said electronic procurement system, and where said out-bound documents are purchase orders describing supplier goods and services in said electronic procurement system.

3. The computer system of claim 1 , wherein said in-bound documents are purchase orders describing information related to buyer requests in said electronic procurement system, and where said out-bound documents are purchase orders describing supplier goods and services in said electronic procurement system. 4. The computer system of claim 3 , wherein said first XML file format is an Open Buying on the Internet (OBI) Standards compliant XML file.

2. The method of claim 1 , wherein creation of said initial policy constraints and said refined policy constraints includes implementing a dynamic, software-based data mining operation.

2. The method of claim 1 , wherein creation of said initial policy constraints and said refined policy constraints includes implementing a dynamic, software-based data mining operation. 3. The method of claim 2 , wherein said initial policy constraints and said refined policy constraints are provided in human readable form.

17. A system for data input comprising: an input selection device divided into multiple non-overlapping zones, each non-overlapping zone including two or more individual alphabetic or alphanumeric input selection indicators, wherein at least one of the alphabetic or alphanumeric input selection indicators in each non-overlapping zone is a jumper selector, and wherein the number of non-overlapping zones is less than the number of individual alphabetic or alphanumeric input selection indicators of the input selection device; a jumper choosing device configured to receive a user indication of two or more jumper selectors, wherein each jumper selector selects a non-overlapping zone; and a collection device configured to determine two or more sets of alphabetic or alphanumeric characters, wherein each set of alphabetic or alphanumeric characters is associated with one of the received two or more jumper selectors; a sequencing component configured to enter the two or more sets of alphabetic or alphanumeric characters as a sequence; and a parsing component configured to receive the sequence of two or more sets of alphabetic or alphanumeric characters and identify, without further user input, one or more suggested words from a dictionary, wherein the identifying is based on the sequence of two or more sets of alphabetic or alphanumeric characters.

17. A system for data input comprising: an input selection device divided into multiple non-overlapping zones, each non-overlapping zone including two or more individual alphabetic or alphanumeric input selection indicators, wherein at least one of the alphabetic or alphanumeric input selection indicators in each non-overlapping zone is a jumper selector, and wherein the number of non-overlapping zones is less than the number of individual alphabetic or alphanumeric input selection indicators of the input selection device; a jumper choosing device configured to receive a user indication of two or more jumper selectors, wherein each jumper selector selects a non-overlapping zone; and a collection device configured to determine two or more sets of alphabetic or alphanumeric characters, wherein each set of alphabetic or alphanumeric characters is associated with one of the received two or more jumper selectors; a sequencing component configured to enter the two or more sets of alphabetic or alphanumeric characters as a sequence; and a parsing component configured to receive the sequence of two or more sets of alphabetic or alphanumeric characters and identify, without further user input, one or more suggested words from a dictionary, wherein the identifying is based on the sequence of two or more sets of alphabetic or alphanumeric characters. 21. The system of claim 17 , wherein the alphabetic or alphanumeric input selection indicators associated with each possible non-overlapping zone are predetermined.

10. The system of claim 9 , the operations further comprising assigning a score to the query term proximity rule based on the click count, a skip count, and a fake skip count.

10. The system of claim 9 , the operations further comprising assigning a score to the query term proximity rule based on the click count, a skip count, and a fake skip count. 13. The system of claim 10 , associating a first weight with the click count, a second weight with the skip count, and a third weight with the fake skip count.

33. Apparatus for presenting speech information comprising first means for producing a sequence of signals representative of speech phonemes; second means for transforming the signals into a sequence of first and second grid patterns of points, the first pattern being a code which identifies the phoneme sound and the second pattern being another code which identifies a mouth form that produces the phoneme sound; and means for presenting the first and second patterns, the presenting means including multiple point grid matrix arrays of presenters, and means for activating the presenters in accordance with said patterns of points.

33. Apparatus for presenting speech information comprising first means for producing a sequence of signals representative of speech phonemes; second means for transforming the signals into a sequence of first and second grid patterns of points, the first pattern being a code which identifies the phoneme sound and the second pattern being another code which identifies a mouth form that produces the phoneme sound; and means for presenting the first and second patterns, the presenting means including multiple point grid matrix arrays of presenters, and means for activating the presenters in accordance with said patterns of points. 38. The apparatus of claim 33 further comprising means for transmitting said signals to a plurality of such presenting means.

22. The system according to claim 15 , wherein the organization engine is further configured to identify navigation options in response to the act of measuring distinctiveness.

22. The system according to claim 15 , wherein the organization engine is further configured to identify navigation options in response to the act of measuring distinctiveness. 23. The system according to claim 22 , further comprising a user interface engine configured to display the navigations options.

1. A method for a user interface system for modifying a document with imaging components using a natural language control system executed via a processor with a memory storing executable instructions having the method, comprising: receiving the document from an image input device; presenting an image modification in real time within an image that is displayed in a first view of a display while the image modification is received as input from a user; and presenting a text-based interface in a second view, the text-based interface presenting text-based categories corresponding to portions of a human readable sentence used to generate the image modification; displaying in a window more than one human readable sentence corresponding respectively to more than one image modification generated; upon receiving a user specified ordering with a corresponding priority of the more than one human readable sentence for the respective one or more image modification generated, sorting the one or more image modification according to a user specified input of the more than one human readable sentence displayed in the window, wherein sentences with a higher user specified priority in the user specified order generate the respective image modifications in the image before other image modifications displayed in descending order of priority in the window, and wherein the order is dynamically changed by the user through a user interface.

1. A method for a user interface system for modifying a document with imaging components using a natural language control system executed via a processor with a memory storing executable instructions having the method, comprising: receiving the document from an image input device; presenting an image modification in real time within an image that is displayed in a first view of a display while the image modification is received as input from a user; and presenting a text-based interface in a second view, the text-based interface presenting text-based categories corresponding to portions of a human readable sentence used to generate the image modification; displaying in a window more than one human readable sentence corresponding respectively to more than one image modification generated; upon receiving a user specified ordering with a corresponding priority of the more than one human readable sentence for the respective one or more image modification generated, sorting the one or more image modification according to a user specified input of the more than one human readable sentence displayed in the window, wherein sentences with a higher user specified priority in the user specified order generate the respective image modifications in the image before other image modifications displayed in descending order of priority in the window, and wherein the order is dynamically changed by the user through a user interface. 10. The method of claim 1 , further comprising: mapping the document into a working color space; wherein the human readable sentence comprises a natural language command; receiving the natural language command to modify the color in a portion of the photo image selected by the user, wherein the natural language command specifies the color selected for the image modification in the photo image, and the modification associated therewith in natural language; parsing the natural language command into a description of a color property to be modified, the magnitude of the modification, and the resultant image modification; converting the parsed natural language command into a transform in the working color space; applying the transform to the color selected by the user of the at least a portion of the document in the working color space; and modifying the selected color of the photo image based upon application of the transform in the working color space.

18. A method of recognizing a speech query comprising the steps of: (a) recognizing text in an articulated speech utterance; and (b) processing said recognized text to generate at least two different types of search predicates for said articulate speech utterance; wherein said search predicates correspond to logical operators to be satisfied by a potential recognition match; (c) generating a query to identify a potential match for said speech utterance, said query being based on said recognized text and said search predicates; (d) determining a final match for said speech utterance by comparing any potential matches identified by said query with said articulated speech utterance; wherein both semantic decoding and statistical based processing operations are used to determine said final match; further wherein said semantic decoding is performed on entire word sentences contained in said articulated speech utterance to determine semantic variants of said word sentences in said potential matches, and is based on a combined metric that includes term frequency, semantic coverage, and semantic distance, the semantic decoding using a lexical dictionary.

18. A method of recognizing a speech query comprising the steps of: (a) recognizing text in an articulated speech utterance; and (b) processing said recognized text to generate at least two different types of search predicates for said articulate speech utterance; wherein said search predicates correspond to logical operators to be satisfied by a potential recognition match; (c) generating a query to identify a potential match for said speech utterance, said query being based on said recognized text and said search predicates; (d) determining a final match for said speech utterance by comparing any potential matches identified by said query with said articulated speech utterance; wherein both semantic decoding and statistical based processing operations are used to determine said final match; further wherein said semantic decoding is performed on entire word sentences contained in said articulated speech utterance to determine semantic variants of said word sentences in said potential matches, and is based on a combined metric that includes term frequency, semantic coverage, and semantic distance, the semantic decoding using a lexical dictionary. 20. The method of claim 18 , wherein steps (b) and (c) overlap in time.

23. A computer storage medium having a program stored thereon, said program for changing a computer system or computer application from a first language to at least a second language, said program comprising the steps of: determining a structure of a system about to be migrated; storing migration information based on the determination of the structure; performing said migration based on said stored migration information, wherein said migration modifies at least some core code of the computer system from a language dependent form into a language independent form; performing said migration based on a module-type migration and based on said stored information to a stored link to provide a path backwards to reestablish the stored link using pre-migration information including: a user-related setting string; at least one system-wide setting string, with each user-related or system wide setting string allowing a registry value association between said stored migration information and a stored registry in an automatically generated string table; wherein said migration information can compare a file name with said stored registry, to said automatically generated string table; and performing said migration based on said stored migration information to a stored registry to synchronize the post-migration system structure.

23. A computer storage medium having a program stored thereon, said program for changing a computer system or computer application from a first language to at least a second language, said program comprising the steps of: determining a structure of a system about to be migrated; storing migration information based on the determination of the structure; performing said migration based on said stored migration information, wherein said migration modifies at least some core code of the computer system from a language dependent form into a language independent form; performing said migration based on a module-type migration and based on said stored information to a stored link to provide a path backwards to reestablish the stored link using pre-migration information including: a user-related setting string; at least one system-wide setting string, with each user-related or system wide setting string allowing a registry value association between said stored migration information and a stored registry in an automatically generated string table; wherein said migration information can compare a file name with said stored registry, to said automatically generated string table; and performing said migration based on said stored migration information to a stored registry to synchronize the post-migration system structure. 27. The computer storage medium according to claim 23 , wherein said performing step further comprises the step of: unlocking shell folders.

29. A system for generating and maintaining a data warehouse, the system comprising: a data warehouse solution computing system; and one or more data source systems coupled to the data warehouse solution computing system, wherein the data warehouse solution computing system: provides a predefined reusable metadata model having a data information model including metadata describing models for generating a data warehouse including metadata describing business logic for extracting information from the one or more source systems and transforming the information into a data warehouse structure, and an information needs model including metadata regarding information needs for building reports, wherein the information needs model of the data information model comprises metadata defining user roles, metadata defining measures important to the user roles, members of the user roles, and context filters that apply to the members; provides data management services that generate a source framework model which is a semantic layer providing a logical business representation of the one or more source systems, to automatically generate a data warehouse from the one or more source systems using the data information model and the source framework model; provides a modeling user interface for presenting the data information model to a user for allowing the user to manipulate objects of the data warehouse; automatically generates the data warehouse from the one or more source systems using the data information model and the source framework model; and automatically generates reports using the information needs model and the data warehouse based on the metadata defining user roles, metadata defining measures important to the user roles, members of the user roles, and context filters that apply to the members.

29. A system for generating and maintaining a data warehouse, the system comprising: a data warehouse solution computing system; and one or more data source systems coupled to the data warehouse solution computing system, wherein the data warehouse solution computing system: provides a predefined reusable metadata model having a data information model including metadata describing models for generating a data warehouse including metadata describing business logic for extracting information from the one or more source systems and transforming the information into a data warehouse structure, and an information needs model including metadata regarding information needs for building reports, wherein the information needs model of the data information model comprises metadata defining user roles, metadata defining measures important to the user roles, members of the user roles, and context filters that apply to the members; provides data management services that generate a source framework model which is a semantic layer providing a logical business representation of the one or more source systems, to automatically generate a data warehouse from the one or more source systems using the data information model and the source framework model; provides a modeling user interface for presenting the data information model to a user for allowing the user to manipulate objects of the data warehouse; automatically generates the data warehouse from the one or more source systems using the data information model and the source framework model; and automatically generates reports using the information needs model and the data warehouse based on the metadata defining user roles, metadata defining measures important to the user roles, members of the user roles, and context filters that apply to the members. 56. The system of claim 29 , wherein the data warehouse solution computing system further embeds the generated data warehouse in an application.

1. A method, comprising: receiving or capturing an image comprising an identity document (ID) using a mobile device; classifying the ID; wherein the classifying comprises: generating a reduced-resolution representation of the ID, determining the ID corresponds to a particular state; and identifying the particular state to which the ID corresponds; and extracting data from the ID based at least in part on the ID classification; and driving at least a portion of a workflow based on the extracted data, wherein the classifying is based on the image characteristics corresponding to the reduced-resolution representation of the identity document.

1. A method, comprising: receiving or capturing an image comprising an identity document (ID) using a mobile device; classifying the ID; wherein the classifying comprises: generating a reduced-resolution representation of the ID, determining the ID corresponds to a particular state; and identifying the particular state to which the ID corresponds; and extracting data from the ID based at least in part on the ID classification; and driving at least a portion of a workflow based on the extracted data, wherein the classifying is based on the image characteristics corresponding to the reduced-resolution representation of the identity document. 16. The method as recited in claim 1 , wherein the classification further comprises a weighted feature vector comparison.

11. A non-transitory computer program product tangibly embodied on a computer-readable medium and including executable code that, when executed, is configured to cause a system for querying and modifying one or more models associated with one or more software applications to: perform a vertical annotation within a single domain including: receive, via a query interface, parameters for performing a vertical annotation in terms of which model elements to search and which profile meta-model to vertically integrate with the model elements, the vertical annotation indicating a query search of a model repository across the single domain; query the model repository storing a plurality of models based on the parameters for performing the vertical annotation including obtaining a first element and a second element of at least one model from the model repository, the first element and the second element being within a same domain; read, from a profile repository storing a plurality of profile meta-models, a vertical profile meta-model that is a technology-specific implementation of the first element and the second element based on the parameters for performing the vertical annotation, and return the vertical profile meta-model for automatic vertical integration with each of the first element and the second element; automatically modify each of the first element and the second element with the vertical profile meta-model to obtain an annotated model in response to an annotation selection including adding meta-data from the vertical profile meta-model to class elements of the first element and the second element associated with the at least one model; and return the annotated model to be subjected to further modification; and perform a horizontal annotation indicating a query search across multiple domains including: receive, via the query interface, parameters for performing the horizontal annotation in terms of which model elements to search and which profile meta-model to horizontally integrate with the model elements; query the model repository to obtain the first element and a third element based on the parameters for performing the horizontal annotation, the third element being in a domain different than the first domain; read, from the profile repository, a horizontal profile meta-model related to performance or security based on the parameters for performing the horizontal annotation, and return the horizontal profile meta-model for automatic horizontal integration with each of the first element and the third element; automatically modify each of the first element and the third element with the horizontal profile meta-model to obtain a secondary annotated model in response to a secondary annotation selection; and return the secondary annotated model for implementation of at least one software application or further modifications.

11. A non-transitory computer program product tangibly embodied on a computer-readable medium and including executable code that, when executed, is configured to cause a system for querying and modifying one or more models associated with one or more software applications to: perform a vertical annotation within a single domain including: receive, via a query interface, parameters for performing a vertical annotation in terms of which model elements to search and which profile meta-model to vertically integrate with the model elements, the vertical annotation indicating a query search of a model repository across the single domain; query the model repository storing a plurality of models based on the parameters for performing the vertical annotation including obtaining a first element and a second element of at least one model from the model repository, the first element and the second element being within a same domain; read, from a profile repository storing a plurality of profile meta-models, a vertical profile meta-model that is a technology-specific implementation of the first element and the second element based on the parameters for performing the vertical annotation, and return the vertical profile meta-model for automatic vertical integration with each of the first element and the second element; automatically modify each of the first element and the second element with the vertical profile meta-model to obtain an annotated model in response to an annotation selection including adding meta-data from the vertical profile meta-model to class elements of the first element and the second element associated with the at least one model; and return the annotated model to be subjected to further modification; and perform a horizontal annotation indicating a query search across multiple domains including: receive, via the query interface, parameters for performing the horizontal annotation in terms of which model elements to search and which profile meta-model to horizontally integrate with the model elements; query the model repository to obtain the first element and a third element based on the parameters for performing the horizontal annotation, the third element being in a domain different than the first domain; read, from the profile repository, a horizontal profile meta-model related to performance or security based on the parameters for performing the horizontal annotation, and return the horizontal profile meta-model for automatic horizontal integration with each of the first element and the third element; automatically modify each of the first element and the third element with the horizontal profile meta-model to obtain a secondary annotated model in response to a secondary annotation selection; and return the secondary annotated model for implementation of at least one software application or further modifications. 12. The computer program product of claim 11 wherein the executable code includes one or more extensions to a domain specific language that defines a domain specific model, the one or more extensions including a non-domain specific language, wherein the one or more extensions provide for at least one additional modification of the annotated model or the secondary annotated model.

13. A non-transitory computer-readable storage device in which computer-executable code is stored, the computer-executable code configured to cause a computing device to execute the steps of: for dynamically generating a speech recognition grammar, the method comprising: determining a target entry; accessing a plurality of potential distractors; selecting at least one distractor from the plurality of potential distractors, wherein the selected at least one distractor is selected based upon an acoustic dissimilarity between the distractor and the target entry; and generating a speech recognition grammar that includes the target entry and the at least one distractor.

13. A non-transitory computer-readable storage device in which computer-executable code is stored, the computer-executable code configured to cause a computing device to execute the steps of: for dynamically generating a speech recognition grammar, the method comprising: determining a target entry; accessing a plurality of potential distractors; selecting at least one distractor from the plurality of potential distractors, wherein the selected at least one distractor is selected based upon an acoustic dissimilarity between the distractor and the target entry; and generating a speech recognition grammar that includes the target entry and the at least one distractor. 16. The non-transitory computer-readable storage device of claim 13 , wherein the step of selecting at least one distractor comprises selecting a predetermined number of distractors from the plurality of potential distractors, the predetermined number being set by a user.

10. The method according to claim 1, wherein in the step of determining a most likely phrase, the maximum combined probability is determined by the recursive steps of: calculating .alpha..sub.i,j as .alpha..sub.i,j =max(.alpha..sub.i-1,k P(w.sub.i,j .vertline.W.sup.0.sub.i-1, W.sup.0.sub.1-2, . . . W.sup.0.sub.1)) for 1.ltoreq.k.ltoreq.M.sub.i-1 and 1.ltoreq.j.ltoreq.M.sub.i ; associating with each .alpha..sub.i,j a probable set of i candidate words; calculating .beta..sub.i,j as .beta..sub.i,j =max(.alpha..sub.i,j .beta..sub.i+1,k P(w.sub.i,j .vertline.W.sup.0.sub.i+1, W.sup.0.sub.1+2, . . . W.sup.0.sub.Q)) for 1.ltoreq.k.ltoreq.M.sub.i+1 and 1.ltoreq.j.ltoreq.M.sub.i ; and associating with each .beta..sub.i,j, a probable set of Q candidate words, wherein i identifies one of the at least N subsequences and j identifies one of the at least one subset of candidate words, and wherein Q.gtoreq.N, and wherein the recursive steps of calculating .beta..sub.i,j and associating with each .beta..sub.i,j, are performed for i=Q, Q-1, . . . 1 after the recursive steps of calculating .alpha..sub.i,j and associating with each .alpha..sub.i,j, are performed for I=1, 2 . . . Q.

10. The method according to claim 1, wherein in the step of determining a most likely phrase, the maximum combined probability is determined by the recursive steps of: calculating .alpha..sub.i,j as .alpha..sub.i,j =max(.alpha..sub.i-1,k P(w.sub.i,j .vertline.W.sup.0.sub.i-1, W.sup.0.sub.1-2, . . . W.sup.0.sub.1)) for 1.ltoreq.k.ltoreq.M.sub.i-1 and 1.ltoreq.j.ltoreq.M.sub.i ; associating with each .alpha..sub.i,j a probable set of i candidate words; calculating .beta..sub.i,j as .beta..sub.i,j =max(.alpha..sub.i,j .beta..sub.i+1,k P(w.sub.i,j .vertline.W.sup.0.sub.i+1, W.sup.0.sub.1+2, . . . W.sup.0.sub.Q)) for 1.ltoreq.k.ltoreq.M.sub.i+1 and 1.ltoreq.j.ltoreq.M.sub.i ; and associating with each .beta..sub.i,j, a probable set of Q candidate words, wherein i identifies one of the at least N subsequences and j identifies one of the at least one subset of candidate words, and wherein Q.gtoreq.N, and wherein the recursive steps of calculating .beta..sub.i,j and associating with each .beta..sub.i,j, are performed for i=Q, Q-1, . . . 1 after the recursive steps of calculating .alpha..sub.i,j and associating with each .alpha..sub.i,j, are performed for I=1, 2 . . . Q. 11. The method according to claim 10, further comprising the step of determining the most likely phrase as the probable set of Q candidate words associated with max(.beta..sub.i,j) for 1.ltoreq.j.ltoreq.M.sub.1.

18. A method of tying a geospatial location to a PIDF-LO file, comprising: receiving, at a physical network server, a Presence Information Data Format-Location Object (PIDF-LO) file; determining, at said physical network server, that said PIDF-LO file lacks geospatial location information identifying a specific physical zone; identifying a universal resource locator (URL) of XML content relating to a location relevant to said PIDF-LO file; requesting, through said physical network server, said geospatial location information; associating, via a Session Initiation Protocol (SIP) protocol, said geospatial location information with said XML content; and inserting, at said physical network server, said URL of XML content into said PIDF-LO file.

18. A method of tying a geospatial location to a PIDF-LO file, comprising: receiving, at a physical network server, a Presence Information Data Format-Location Object (PIDF-LO) file; determining, at said physical network server, that said PIDF-LO file lacks geospatial location information identifying a specific physical zone; identifying a universal resource locator (URL) of XML content relating to a location relevant to said PIDF-LO file; requesting, through said physical network server, said geospatial location information; associating, via a Session Initiation Protocol (SIP) protocol, said geospatial location information with said XML content; and inserting, at said physical network server, said URL of XML content into said PIDF-LO file. 29. The method of tying a geospatial location to a PIDF-LO file according to claim 18 , wherein: said XML content comprises audio.

20. A system configured to extract conveyance records from unstructured text documents, the system comprising: one or more computer processors; and storage media, storing machine-readable instructions that, when executed by at least some of the one or more processors, cause operations comprising: obtaining a plurality of scanned, optical-character-recognized (OCR) documents, each having OCR-produced English language text describing, in unstructured form, one or more conveyances of interest in real property, wherein each document is associated with metadata identifying a jurisdiction in which the respective real property is located; determining, for each of the documents, a respective jurisdiction based on the metadata; selecting from a plurality of language processing models for the English language, a respective language processing model for each of the documents based on the respective determined jurisdiction, wherein a first language processing model is selected for at least some of the documents associated with a first jurisdiction and a second language processing model, different from the first language processing model, is selected for at least some of the documents associated with a second jurisdiction that is different from the first jurisdiction, and wherein each language processing model is configured to extract structured data from unstructured text, and wherein each language processing model is configured to detect different terminology used in different jurisdictions with different frequencies; extracting, for each of the documents, from the respective OCR-produced English language text describing, in unstructured form, one or more conveyances of interest in real property, a plurality of structured conveyance records from each of the plurality of documents by applying the language processing model selected for the respective document based on the jurisdiction associated with the document, wherein each extracted conveyance record identifies a plot of land in which an interest is conveyed by the respective document, identifies a grantor of the conveyance, identifies an grantee of the conveyance, and identifies the interest conveyed; and storing the extracted structured conveyance records in memory.

20. A system configured to extract conveyance records from unstructured text documents, the system comprising: one or more computer processors; and storage media, storing machine-readable instructions that, when executed by at least some of the one or more processors, cause operations comprising: obtaining a plurality of scanned, optical-character-recognized (OCR) documents, each having OCR-produced English language text describing, in unstructured form, one or more conveyances of interest in real property, wherein each document is associated with metadata identifying a jurisdiction in which the respective real property is located; determining, for each of the documents, a respective jurisdiction based on the metadata; selecting from a plurality of language processing models for the English language, a respective language processing model for each of the documents based on the respective determined jurisdiction, wherein a first language processing model is selected for at least some of the documents associated with a first jurisdiction and a second language processing model, different from the first language processing model, is selected for at least some of the documents associated with a second jurisdiction that is different from the first jurisdiction, and wherein each language processing model is configured to extract structured data from unstructured text, and wherein each language processing model is configured to detect different terminology used in different jurisdictions with different frequencies; extracting, for each of the documents, from the respective OCR-produced English language text describing, in unstructured form, one or more conveyances of interest in real property, a plurality of structured conveyance records from each of the plurality of documents by applying the language processing model selected for the respective document based on the jurisdiction associated with the document, wherein each extracted conveyance record identifies a plot of land in which an interest is conveyed by the respective document, identifies a grantor of the conveyance, identifies an grantee of the conveyance, and identifies the interest conveyed; and storing the extracted structured conveyance records in memory. 28. The system of claim 20 , wherein the extracted conveyance record includes a plurality of parameters, including an identifier of a grantor, an identifier of a grantee, an identifier of an interest conveyed, and wherein at least one of the parameters is associated with a link to a supporting document from which the parameter is extracted.

9. The method of claim 2 , wherein the phrase-level token is a first phrase-level token comprising a first plurality of character strings, the method further comprising: determining, by the computing device, that the first phrase-level token satisfies a threshold; responsive to determining that the first phrase-level token satisfies the threshold, selecting, by the computing device, a character string of the first plurality of character strings of the first phrase-level token as a committed character string; and removing, by the computing device, the committed character string from the first plurality of character strings of the phrase-level token to determine a second phrase-level token comprising a second plurality of character strings.

9. The method of claim 2 , wherein the phrase-level token is a first phrase-level token comprising a first plurality of character strings, the method further comprising: determining, by the computing device, that the first phrase-level token satisfies a threshold; responsive to determining that the first phrase-level token satisfies the threshold, selecting, by the computing device, a character string of the first plurality of character strings of the first phrase-level token as a committed character string; and removing, by the computing device, the committed character string from the first plurality of character strings of the phrase-level token to determine a second phrase-level token comprising a second plurality of character strings. 10. The method of claim 9 , further comprising: outputting, by the computing device, the first phrase-level token for display at a text-suggestion region; and responsive to determining that the first phrase-level token satisfies the threshold: outputting, by the computing device, the committed character string for display at a committed-text region, wherein the committed-text region is different than the text-suggestion region; and outputting, by the computing device, the second plurality of character strings for display at the text-suggestion region.

10. A system for developing customer service applications, comprising: at least one processor; memory operably associated with the processor; and a program of instructions storable in the memory and executable by the processor, the program of instructions operable to elicit key personality traits from a sample population, order the key personality traits according to customer satisfaction relevance, create one or more customer service application personality profiles based on the ordered personality traits, evaluate the customer service application personality profiles for a customer satisfaction level determination, and modify one or more aspects of each customer service application personality profile not in accordance with a desired level of customer satisfaction wherein the instructions operable to evaluate include instructions operable to elicit sample population feedback following sample population utilization of the personality profiles.

10. A system for developing customer service applications, comprising: at least one processor; memory operably associated with the processor; and a program of instructions storable in the memory and executable by the processor, the program of instructions operable to elicit key personality traits from a sample population, order the key personality traits according to customer satisfaction relevance, create one or more customer service application personality profiles based on the ordered personality traits, evaluate the customer service application personality profiles for a customer satisfaction level determination, and modify one or more aspects of each customer service application personality profile not in accordance with a desired level of customer satisfaction wherein the instructions operable to evaluate include instructions operable to elicit sample population feedback following sample population utilization of the personality profiles. 14. The system of claim 10 , further comprising the program of instructions operable to modify the personality profiles in accordance with an associated automated customer service application operating environment to achieve the desired level of customer satisfaction.

1. A method, comprising: adding, to a page, information items from an information feed that contains information about a particular entity; wherein adding information items from the information feed includes: displaying one or more content objects for selection by a user; receiving input that selects a selected content object from the one or more content objects; in response to the input that selects the selected content object, performing the steps of: determining that the selected content object is associated with the particular entity; determining one or more information sources that contain information about the particular entity; creating the information feed for the particular entity based, at least in part, on information items from the one or more information sources; modifying the page to cause the page to display one or more of the information items from the information feed; wherein the method is performed by one or more computing devices.

1. A method, comprising: adding, to a page, information items from an information feed that contains information about a particular entity; wherein adding information items from the information feed includes: displaying one or more content objects for selection by a user; receiving input that selects a selected content object from the one or more content objects; in response to the input that selects the selected content object, performing the steps of: determining that the selected content object is associated with the particular entity; determining one or more information sources that contain information about the particular entity; creating the information feed for the particular entity based, at least in part, on information items from the one or more information sources; modifying the page to cause the page to display one or more of the information items from the information feed; wherein the method is performed by one or more computing devices. 25. The method of claim 1 further comprising periodically obtaining additional information from a source associated with the feed and updating the page to display the additional information.

1. A method of searching online social profiles of real-world entities on an online social network, the method including: specifying one or more core entity attributes as a first search attribute set for use in searching an online social network; electronically receiving, responsive to searching the online social network based on the first search attribute set, entity reflections that include supplemental entity attributes for real-world entities; and using a combination of the core entity attributes and one or more supplemental entity attributes to electronically receive more entity reflections that include meta entity attributes for the real-world entities.

1. A method of searching online social profiles of real-world entities on an online social network, the method including: specifying one or more core entity attributes as a first search attribute set for use in searching an online social network; electronically receiving, responsive to searching the online social network based on the first search attribute set, entity reflections that include supplemental entity attributes for real-world entities; and using a combination of the core entity attributes and one or more supplemental entity attributes to electronically receive more entity reflections that include meta entity attributes for the real-world entities. 6. The method of claim 1 , wherein the entity reflections represent one or more online social profiles of the real-world entities.

14. A method of presenting analysis of speech audio signals in real-time through gamification, the method comprising: receiving source conversational audio signals of current audio involving an agent by a real-time audio capture system at low-latency; converting, by the real-time audio capture system, the received audio signals into analyzable digital audio as streamed audio conversational signals at low-latency; applying metrics, by a real-time signal processing system, to the streamed audio conversational signals to transform the streamed audio conversational signals into computed streamed behavioral signals at low-latency; providing the computed streamed behavioral signals from an application server to a computing device of the agent at low-latency; operating an agent dashboard on the computing device of the agent at low-latency; and displaying, on the agent dashboard, the computed streamed behavioral signals and gamification objectives for the agent at low-latency, wherein gamification enables real-time comparison of computed streamed behavioral signals and displayed gamification objectives; wherein the gamification objectives include one or more target metrics that are identified using machine learning techniques to produce positive outcomes; and wherein the computed streamed behavioral signals are metrics comprising any of conversational participation computations, conversational flow computations, dynamic variation computations, speaking rate computations, vocal effort computations, and hyper/hypo articulation computations.

14. A method of presenting analysis of speech audio signals in real-time through gamification, the method comprising: receiving source conversational audio signals of current audio involving an agent by a real-time audio capture system at low-latency; converting, by the real-time audio capture system, the received audio signals into analyzable digital audio as streamed audio conversational signals at low-latency; applying metrics, by a real-time signal processing system, to the streamed audio conversational signals to transform the streamed audio conversational signals into computed streamed behavioral signals at low-latency; providing the computed streamed behavioral signals from an application server to a computing device of the agent at low-latency; operating an agent dashboard on the computing device of the agent at low-latency; and displaying, on the agent dashboard, the computed streamed behavioral signals and gamification objectives for the agent at low-latency, wherein gamification enables real-time comparison of computed streamed behavioral signals and displayed gamification objectives; wherein the gamification objectives include one or more target metrics that are identified using machine learning techniques to produce positive outcomes; and wherein the computed streamed behavioral signals are metrics comprising any of conversational participation computations, conversational flow computations, dynamic variation computations, speaking rate computations, vocal effort computations, and hyper/hypo articulation computations. 20. The method of claim 14 , further comprising dynamically configuring the applied metrics during a conversation.

1. A computer-implemented method of stemming terms using behavioral data, comprising: under control of one or more computer systems configured with executable instructions, capturing behavioral data for a plurality of users with respect to a plurality of terms; obtaining a rule set for stemming in a language, the language including the plurality of terms; obtaining a word to be stemmed; in response to determining that only one rule of the rule set is to be used to stem the obtained word, stemming the obtained word using only one rule; or in response to determining that more than one rule of the rule set is to be used to stem the obtained word: determining a set of forms of the obtained word; determining an output set of forms corresponding to the set of forms, wherein each rule of the more than one rule corresponds to one of the forms in the output set of forms, determining, based at least in part upon the captured behavioral data, a relative measurement value of each form in the output set of forms, wherein each of the relative measurement values corresponds to an indication of a frequency of use of a corresponding one of the forms in the output set of forms, and selecting, based at least in part upon the relative measurement values, at least one form in the output set of forms to be used as a stem for the obtained word.

1. A computer-implemented method of stemming terms using behavioral data, comprising: under control of one or more computer systems configured with executable instructions, capturing behavioral data for a plurality of users with respect to a plurality of terms; obtaining a rule set for stemming in a language, the language including the plurality of terms; obtaining a word to be stemmed; in response to determining that only one rule of the rule set is to be used to stem the obtained word, stemming the obtained word using only one rule; or in response to determining that more than one rule of the rule set is to be used to stem the obtained word: determining a set of forms of the obtained word; determining an output set of forms corresponding to the set of forms, wherein each rule of the more than one rule corresponds to one of the forms in the output set of forms, determining, based at least in part upon the captured behavioral data, a relative measurement value of each form in the output set of forms, wherein each of the relative measurement values corresponds to an indication of a frequency of use of a corresponding one of the forms in the output set of forms, and selecting, based at least in part upon the relative measurement values, at least one form in the output set of forms to be used as a stem for the obtained word. 5. The computer-implemented method of claim 1 , wherein the plurality of terms correspond to search terms contained in search queries submitted by the users.

3. The apparatus according to claim 1 , wherein the processing circuitry is further configured to: control presentation of information on the item selected in accordance with the user's preference by displaying the word corresponding to the feature quantity in a format different from other words out of words constituting a comment, the word contributing to the selection of the item.

3. The apparatus according to claim 1 , wherein the processing circuitry is further configured to: control presentation of information on the item selected in accordance with the user's preference by displaying the word corresponding to the feature quantity in a format different from other words out of words constituting a comment, the word contributing to the selection of the item. 4. The apparatus according to claim 3 , wherein the processing circuitry is configured to control presentation of information on the item selected in accordance with the user's preference such that a sentence including a plurality of words including a word having served for the selection of the item is further displayed in a format different from other sentences constituting the comment.

26. The method of claim 25 wherein replacing the first coded portion is part of watermarking the coded bitstream, and the accessed piece of information comprises payload information.

26. The method of claim 25 wherein replacing the first coded portion is part of watermarking the coded bitstream, and the accessed piece of information comprises payload information. 27. The method of claim 26 wherein the value of the payload information dictates whether or not the first coded portion is to be replaced.

1. One or more computer-readable storage media comprising computer-executable instructions for providing linguistic services, the computer-executable instructions directed to steps comprising: receiving linguistic input in a first language from a user; generating a text-based linguistic input in the first language by recognizing the received linguistic input; utilizing machine translation to translate the text-based linguistic input from the first language into a second language differing from the first language; providing the translated text-based linguistic input, in the second language, to pre-existing components providing linguistic services that operate in the context of the second language; receiving, from the pre-existing components, output that is responsive to the linguistic input, the output being provided in the second language; utilizing the machine translation to translate the output in the second language into the first language; generating output that is receivable by the user in accordance with the translated output in the first language.

1. One or more computer-readable storage media comprising computer-executable instructions for providing linguistic services, the computer-executable instructions directed to steps comprising: receiving linguistic input in a first language from a user; generating a text-based linguistic input in the first language by recognizing the received linguistic input; utilizing machine translation to translate the text-based linguistic input from the first language into a second language differing from the first language; providing the translated text-based linguistic input, in the second language, to pre-existing components providing linguistic services that operate in the context of the second language; receiving, from the pre-existing components, output that is responsive to the linguistic input, the output being provided in the second language; utilizing the machine translation to translate the output in the second language into the first language; generating output that is receivable by the user in accordance with the translated output in the first language. 9. The computer-readable storage media of claim 1 , wherein the pre-existing components are modified to account for linguistic elements specific to a functionality provided by the computer-executable instructions.

15. A non-transitory machine-readable storage medium comprising instructions stored which, when executed by a processor, cause the processor to perform operations comprising: presenting, to equipment of a first user, a machine translation, a ranked list of translation possibilities in a first order, and a list of alternative translation possibilities, of a source text, wherein the ranked list of translation possibilities and the list of alternative translation possibilities comprise machine translations of the source text in a language distinct from an original language of the source text, wherein the ranked list of translation possibilities and the list of alternative translation possibilities are contemporaneously presented to equipment of a second user allowing the first user and the second user to participate in a collaborative translation of the source text from the original language to an other distinct language; determining an input from the equipment of the first user, the input identifying a translation possibility from the list of alternative translation possibilities; re-ranking the ranked list of translation possibilities in the first order based on the input, to yield a re-ranked list of translation possibilities in a second order; presenting the re-ranked list of translation possibilities to the equipment of the first user; and transmitting the re-ranked list of translation possibilities to the equipment of the second user for display to the equipment of the second user, wherein the re-ranked list of translation possibilities is presented contemporaneously to both the equipment of the first user and the equipment of the second user.

15. A non-transitory machine-readable storage medium comprising instructions stored which, when executed by a processor, cause the processor to perform operations comprising: presenting, to equipment of a first user, a machine translation, a ranked list of translation possibilities in a first order, and a list of alternative translation possibilities, of a source text, wherein the ranked list of translation possibilities and the list of alternative translation possibilities comprise machine translations of the source text in a language distinct from an original language of the source text, wherein the ranked list of translation possibilities and the list of alternative translation possibilities are contemporaneously presented to equipment of a second user allowing the first user and the second user to participate in a collaborative translation of the source text from the original language to an other distinct language; determining an input from the equipment of the first user, the input identifying a translation possibility from the list of alternative translation possibilities; re-ranking the ranked list of translation possibilities in the first order based on the input, to yield a re-ranked list of translation possibilities in a second order; presenting the re-ranked list of translation possibilities to the equipment of the first user; and transmitting the re-ranked list of translation possibilities to the equipment of the second user for display to the equipment of the second user, wherein the re-ranked list of translation possibilities is presented contemporaneously to both the equipment of the first user and the equipment of the second user. 16. The non-transitory machine-readable storage medium of claim 15 , wherein the operations further comprise presenting to the equipment of the first user the machine translation, the input, and the re-ranked list of translation possibilities in the second order.

3. The method recited in claim 2, in which step (B) further comprises the step of: selecting the portion of the description using the information that identifies the regions.

3. The method recited in claim 2, in which step (B) further comprises the step of: selecting the portion of the description using the information that identifies the regions. 4. The method recited in claim 3, wherein said description includes nodes within each of the regions.

3. The method of claim 1 wherein the one or more entity-specific queries generate an enhanced query as part of the query strategy with the name of the designated entity and a name of a related entity.

3. The method of claim 1 wherein the one or more entity-specific queries generate an enhanced query as part of the query strategy with the name of the designated entity and a name of a related entity. 4. The method of claim 3 wherein the enhanced query is generated when the related entity shares a facet with the designated entity.

7. The computer system of claim 1 , wherein the computer system is further configured to generate a cumulative score for each of the potential variation-phrase pairs in the variation-phrase set.

7. The computer system of claim 1 , wherein the computer system is further configured to generate a cumulative score for each of the potential variation-phrase pairs in the variation-phrase set. 8. The computer system of claim 7 , wherein filtering comprises pruning weakly linked potential variation-phrase pairs from the variation-phrase set, wherein said pruning comprises: for each discrete subset of potential variation-phrase pairs in the variation-phrase set: determining whether the current discrete subset of potential variation—phrase pairs satisfies a predetermined pruning criteria; and if the current discrete subset of potential variation-phrase pairs fails to satisfy the predetermined pruning criteria, pruning weakly linked potential variation-phrase pairs from the discrete subset of potential variation-phrase pairs.

8. A method in a computer system for generating a legal search query, the method comprising: receiving the legal search query from a single text input field, the legal search query comprising a first query segment and a second query segment, wherein: the first query segment is distinct and independent from the second query segment in the single text input field, and the first query segment and the second query segment are distinct phrases of the legal search query resulting from individual auto-complete sessions; detecting a position of a text cursor within the first query segment or the second query segment; displaying one or more additional first query suggestions based at least in part on the position of the text cursor within the first query segment, and displaying one or more additional second query suggestions based at least in part on the position of the text cursor within the second query segment; receiving an operator in the single text input field, wherein the operator is added to the first query segment or the second query segment; splitting the first query segment or the second query segment into two or more split query segments based on a location of the operator within the single text input field, wherein the splitting results in an additional autocomplete session for each of the two or more split query segments; obtaining one or more query suggestions from a server computing device, the one or more query suggestions based at least in part on the first query segment, the second query segment, or the two or more split query segments; obtaining one or more first semantic suggestions based at least in part on the first query segment from a semantic suggestion server that is separate from the server computing device, wherein the one or more first semantic suggestions are semantically similar to the first query segment; obtaining one or more second semantic suggestions based at least in part on the second query segment from the semantic suggestion server, wherein the one or more second semantic suggestions are semantically similar to the second query segment and distinct from the one or more first semantic suggestions; obtaining one or more third semantic suggestions based at least in part on the two or more split query segments from the semantic suggestion server, wherein the one or more third semantic suggestions are semantically similar to the two or more split query segments and distinct from the one or more first semantic suggestions and the one or more second semantic suggestions; displaying the one or more query suggestions with the one or more first semantic suggestions, the one or more second semantic suggestions, and the one or more third semantic suggestions within a graphical user interface; generating the legal search query from one or more selections from a user via the graphical user interface; and searching a legal document database using the legal search query to return and display a set of retrieved legal documents.

8. A method in a computer system for generating a legal search query, the method comprising: receiving the legal search query from a single text input field, the legal search query comprising a first query segment and a second query segment, wherein: the first query segment is distinct and independent from the second query segment in the single text input field, and the first query segment and the second query segment are distinct phrases of the legal search query resulting from individual auto-complete sessions; detecting a position of a text cursor within the first query segment or the second query segment; displaying one or more additional first query suggestions based at least in part on the position of the text cursor within the first query segment, and displaying one or more additional second query suggestions based at least in part on the position of the text cursor within the second query segment; receiving an operator in the single text input field, wherein the operator is added to the first query segment or the second query segment; splitting the first query segment or the second query segment into two or more split query segments based on a location of the operator within the single text input field, wherein the splitting results in an additional autocomplete session for each of the two or more split query segments; obtaining one or more query suggestions from a server computing device, the one or more query suggestions based at least in part on the first query segment, the second query segment, or the two or more split query segments; obtaining one or more first semantic suggestions based at least in part on the first query segment from a semantic suggestion server that is separate from the server computing device, wherein the one or more first semantic suggestions are semantically similar to the first query segment; obtaining one or more second semantic suggestions based at least in part on the second query segment from the semantic suggestion server, wherein the one or more second semantic suggestions are semantically similar to the second query segment and distinct from the one or more first semantic suggestions; obtaining one or more third semantic suggestions based at least in part on the two or more split query segments from the semantic suggestion server, wherein the one or more third semantic suggestions are semantically similar to the two or more split query segments and distinct from the one or more first semantic suggestions and the one or more second semantic suggestions; displaying the one or more query suggestions with the one or more first semantic suggestions, the one or more second semantic suggestions, and the one or more third semantic suggestions within a graphical user interface; generating the legal search query from one or more selections from a user via the graphical user interface; and searching a legal document database using the legal search query to return and display a set of retrieved legal documents. 11. The method of claim 8 , wherein: the one or more first semantic suggestions are based at least in part on a combination of the first query segment and the second query segment; and the one or more second semantic suggestions are based at least in part on the combination of the first query segment and the second query segment.

1. A method for retrieving keyword from speech, comprising: configuring, by an apparatus comprising a processor circuitry, language models, wherein at least two of the language models each comprises a recognition model and a decoding model that corresponds to the recognition model; extracting a speech feature, by the apparatus, from to-be-processed speech data; determining, by the apparatus, which of the recognition models has a highest language matching rate by performing, using the recognition models, language matching on the extracted speech feature; identifying, by the apparatus, the decoding model which corresponds to the determined recognition model; decoding, by the apparatus, the extracted speech feature by using the identified decoding model, and obtaining a word recognition result; and matching, by the apparatus, a keyword in a keyword dictionary and the word recognition result with each other, and outputting a matched keyword on a display of the apparatus.

1. A method for retrieving keyword from speech, comprising: configuring, by an apparatus comprising a processor circuitry, language models, wherein at least two of the language models each comprises a recognition model and a decoding model that corresponds to the recognition model; extracting a speech feature, by the apparatus, from to-be-processed speech data; determining, by the apparatus, which of the recognition models has a highest language matching rate by performing, using the recognition models, language matching on the extracted speech feature; identifying, by the apparatus, the decoding model which corresponds to the determined recognition model; decoding, by the apparatus, the extracted speech feature by using the identified decoding model, and obtaining a word recognition result; and matching, by the apparatus, a keyword in a keyword dictionary and the word recognition result with each other, and outputting a matched keyword on a display of the apparatus. 4. The method according to claim 1 , wherein decoding the extracted speech feature by using the identified decoding model comprises: searching for an optimal matching path for the extracted speech feature by using the identified decoding model, and obtaining a word net as the word recognition result, wherein the word net comprises a start node, an end node, and an intermediate node between the start node and the end node, and each node represents a word corresponding to a period of time.

1. A method for identifying a most likely source language of a snippet, comprising: receiving an indication of the snippet, wherein the snippet is a digital representation of words or character groups; determining two or more possible source languages for the snippet; generating, by one or more machine translation engines, two or more translations of the snippet each having a specified translation source language, wherein at least one of the two or more translations of the snippet is generated having a first of the two or more possible source languages for the snippet set as the specified translation source language, and wherein at least another of the two or more translations of the snippet is generated having a second of the two or more possible source languages for the snippet other than the first of the two or more possible source languages for the snippet set as the specified translation source language; computing, by one or more translation score models trained using or more neural networks, accuracy scores for at least two of the generated two or more translations of the snippet; producing a confidence factor for each of at least two selected possible source languages for the snippet, wherein the confidence factor for each selected possible source language is produced based on one or more of the computed accuracy scores that has a source language corresponding to the selected possible source language; and selecting, as the most likely source language, the possible source language for the snippet that is associated with a highest confidence factor.

1. A method for identifying a most likely source language of a snippet, comprising: receiving an indication of the snippet, wherein the snippet is a digital representation of words or character groups; determining two or more possible source languages for the snippet; generating, by one or more machine translation engines, two or more translations of the snippet each having a specified translation source language, wherein at least one of the two or more translations of the snippet is generated having a first of the two or more possible source languages for the snippet set as the specified translation source language, and wherein at least another of the two or more translations of the snippet is generated having a second of the two or more possible source languages for the snippet other than the first of the two or more possible source languages for the snippet set as the specified translation source language; computing, by one or more translation score models trained using or more neural networks, accuracy scores for at least two of the generated two or more translations of the snippet; producing a confidence factor for each of at least two selected possible source languages for the snippet, wherein the confidence factor for each selected possible source language is produced based on one or more of the computed accuracy scores that has a source language corresponding to the selected possible source language; and selecting, as the most likely source language, the possible source language for the snippet that is associated with a highest confidence factor. 9. The method of claim 1 further comprising: selecting from the generated two or more translations of the snippet, as translations of the snippet, the translations where the specified translation source language is the language selected as the most likely source language of the snippet.

1. A method comprising: outputting, by a computing device and for display, a graphical user interface including a graphical keyboard and one or more text suggestion regions, wherein at least one character string is displayed within the one or more text suggestion regions, the at least one character string being associated with a probability; receiving, by the computing device, an indication of an initial gesture input detected at a presence-sensitive input device operatively coupled to the computing device; maintaining, by the computing device, based on the initial gesture input, past user interaction data to reflect a past decision corresponding to the at least one candidate character string while the at least one candidate character string was previously displayed within the one or more text suggestion regions; receiving, by the computing device, an indication of a subsequent gesture input detected at the presence-sensitive input device operatively coupled to the computing device; determining, by the computing device and based at least in part on the indication of the subsequent gesture input, the at least one candidate character string; determining, by the computing device and based at least in part on an association between the at least one candidate character string and a context of the subsequent gesture input, a lexical probability for the at least one candidate character string, the lexical probability indicating a probability that the at least one candidate character string represents a word included in a lexicon; modifying, based at least in part on the past interaction data, the lexical probability; and outputting, by the computing device, for display, based on the lexical probability that was modified based at least in part on the past interaction data, the at least one candidate character string.

1. A method comprising: outputting, by a computing device and for display, a graphical user interface including a graphical keyboard and one or more text suggestion regions, wherein at least one character string is displayed within the one or more text suggestion regions, the at least one character string being associated with a probability; receiving, by the computing device, an indication of an initial gesture input detected at a presence-sensitive input device operatively coupled to the computing device; maintaining, by the computing device, based on the initial gesture input, past user interaction data to reflect a past decision corresponding to the at least one candidate character string while the at least one candidate character string was previously displayed within the one or more text suggestion regions; receiving, by the computing device, an indication of a subsequent gesture input detected at the presence-sensitive input device operatively coupled to the computing device; determining, by the computing device and based at least in part on the indication of the subsequent gesture input, the at least one candidate character string; determining, by the computing device and based at least in part on an association between the at least one candidate character string and a context of the subsequent gesture input, a lexical probability for the at least one candidate character string, the lexical probability indicating a probability that the at least one candidate character string represents a word included in a lexicon; modifying, based at least in part on the past interaction data, the lexical probability; and outputting, by the computing device, for display, based on the lexical probability that was modified based at least in part on the past interaction data, the at least one candidate character string. 3. The method of claim 1 , further comprising: determining, by the computing device and based at least in part on the past interaction data, at least one lexical probability weighting factor associated with the at least one candidate character string; applying, by the computing device, the at least one lexical probability weighting factor to the lexical probability of the at least one candidate character string to determine a weighted lexical probability associated with the at least one candidate character string; and modifying, by the computing device and based at least in part on the weighted lexical probability associated with the at least one candidate character string, the lexical probability.

7. The system of claim 6 , wherein the computer server is further operable to generate an advertisement image for the vehicle via the online advertising service API.

7. The system of claim 6 , wherein the computer server is further operable to generate an advertisement image for the vehicle via the online advertising service API. 8. The system of claim 7 , wherein the system further comprises a computer user interface, wherein one or more of the keywords entered on the computer user interface triggers presentation on the computer user interface, of the periodic payment schedule with at least one of the advertisement copy and the advertisement image corresponding to the one or more of the keywords.

18. A method in a host organization, the method comprising: generating indices from a dataset of columns and rows, the indices representing probabilistic relationships between the rows and the columns of the dataset; storing the indices within a database system of the host organization; exposing the database system of the host organization via a request interface; receiving, at the request interface, a query for the database system specifying a SIMILAR command term, a specified row as a parameter for the SIMILAR command term, and a specified column as a parameter for the SIMILAR command term; querying the database system using the SIMILAR command term and passing the specified row and the specified column to generate a predictive record set; returning the predictive record set responsive to the query, the predictive record set having a plurality of elements therein, each of the returned elements of the predictive record set including (i) a row identifier which corresponds to a row of the dataset assessed to be similar, according to a latent structure, to the specified row passed with the SIMILAR command term based on the specified column and (ii) a confidence indicator which indicates a likelihood of a latent relationship between the specified row passed with the SIMILAR command and the row identifier returned for the respective element; and wherein querying the database system using the SIMILAR command term comprises passing a PreQL query to the database system, the PreQL query having a query syntax of: (i) the SIMILAR command term as a required term, (ii) a ROW term as a required term, the ROW term specifying the row to be passed with the SIMILAR command term, (ii) a COLUMN term as a required term, the COLUMN term specifying the column to be passed with the SIMILAR command term, and (iv) an optional FROM term specifying one or more tables, datasets, data sources, and/or indices to be queried when the optional FROM term is specified and wherein a default value is used for the one or more tables, datasets, data sources, and/or indices to be queried when the optional FROM term is not specified.

18. A method in a host organization, the method comprising: generating indices from a dataset of columns and rows, the indices representing probabilistic relationships between the rows and the columns of the dataset; storing the indices within a database system of the host organization; exposing the database system of the host organization via a request interface; receiving, at the request interface, a query for the database system specifying a SIMILAR command term, a specified row as a parameter for the SIMILAR command term, and a specified column as a parameter for the SIMILAR command term; querying the database system using the SIMILAR command term and passing the specified row and the specified column to generate a predictive record set; returning the predictive record set responsive to the query, the predictive record set having a plurality of elements therein, each of the returned elements of the predictive record set including (i) a row identifier which corresponds to a row of the dataset assessed to be similar, according to a latent structure, to the specified row passed with the SIMILAR command term based on the specified column and (ii) a confidence indicator which indicates a likelihood of a latent relationship between the specified row passed with the SIMILAR command and the row identifier returned for the respective element; and wherein querying the database system using the SIMILAR command term comprises passing a PreQL query to the database system, the PreQL query having a query syntax of: (i) the SIMILAR command term as a required term, (ii) a ROW term as a required term, the ROW term specifying the row to be passed with the SIMILAR command term, (ii) a COLUMN term as a required term, the COLUMN term specifying the column to be passed with the SIMILAR command term, and (iv) an optional FROM term specifying one or more tables, datasets, data sources, and/or indices to be queried when the optional FROM term is specified and wherein a default value is used for the one or more tables, datasets, data sources, and/or indices to be queried when the optional FROM term is not specified. 20. The method of claim 18 , wherein querying the database system using the SIMILAR command term comprises passing a JavaScript Object Notation (JSON) structured query to the database system, the JSON structured query having a query syntax of: the SIMILAR command term as a required term; an optional one or more tables, datasets, data sources, and/or indices to be queried or a default value for the one or more tables, datasets, data sources, and/or indices to be queried when not specified; the row to be passed with the SIMILAR command term; the column to be passed with the SIMILAR command term; an optional specification of a minimum acceptable confidence to be returned with the predictive record set according to a confidence indicator; an optional specification of a maximum quantity of elements to be returned within the predictive record set; and an optional specification of whether the elements of the predictive record are to be returned in ascending or descending order according to a confidence indicator for each of the elements returned with the predictive record set.

5. A speech assessment method for using the speech assessment device for the multisyllabic-word learning machine as claimed in claim 1 , comprising the following steps: a step of starting the assessment mode including using the central processing system to let the displaying unit displays the playing interface; a step of selecting words to be assessed including using the playing interface to select the standard continuous audio files for multisyllabic words, or the standard audio files for each separate character of the multisyllabic words from the standard speech database; a step of choosing to play or record including choosing a step of playing or a step of recording; a step of recording including using the speech receiving unit to receive and convert the words to be assessed spoken by the learner into the learner's continuous audio files for multisyllabic words, and the learner's audio files for each separate character of the multisyllabic words, wherein the learner's continuous audio files, and the learner's audio files are stored in the learner's speech database, and also transmitted to the audio visualization unit to create the learner's monosyllabic reference polygonal line for each separate character and the learner's continuous multisyllabic reference polygonal line for multisyllabic words, by conducting a step of visualization; the step of visualization including: a step of picking out fundamental frequency, a step of defining analysis point, a step of transforming polygonal lines, and a step of simplifying the polygonal lines, wherein the step of visualization is capable of simultaneously converting standard audio file into the reference polygonal line and converting the learner's audio file into the learner's polygonal line; the step of picking out fundamental frequency including selecting the most stable section of the frequency of the words spoken by the learner, picking out the fundamental frequency of the stable section, and forming a learner's initial curve corresponding to the first character of the multisyllabic words spoken by the learner, wherein the horizontal and vertical axes of the graph of the learner's initial curve are defined as a time axis and a frequency axis, respectively, the step of visualization is performed character by character to form the learner's monosyllabic reference polygonal line of the learner's monosyllabic reference polygonal line for each separate character; the step of defining analysis points including defining that the learner's initial curve includes a plurality of analysis points; the step of transforming polygonal lines including forming at least one section of line by connecting consequently connecting the four analysis points to one another, defining the section of line as an initial comparison syllable, so that the learner's initial curve presents a line which consists of the at least one section of straight line formed by the initial comparison syllables; the step of simplifying the polygonal lines including comparing or checking the durations of the initial comparison syllables, and the total duration of the learner's initial curve, if the duration of the first initial comparison syllable is found to be less than 30% of the total duration of the learner's initial curve, the first initial comparison syllable is considered as unrepresentative and then combined with a neighboring second initial comparison syllable to form a combined initial comparison syllable, then the combined initial comparison syllable is connected to another representative initial comparison to form a learner's monosyllabic reference polygonal line for bi-syllabic words; a step of repeating including: repeating the step of picking out fundamental frequency, the step of defining analysis point, the step of transforming polygonal lines, and the step of simplifying the polygonal lines, so as to convert the rest characters into the learner's monosyllabic reference polygonal line for bi-syllabic words of the learner's monosyllabic reference polygonal line, and connect the learner's monosyllabic reference polygonal line to form the learner's continuous bi-syllabic reference polygonal line which is to be displayed on the displaying unit; a step of assessment including picking up the monosyllabic reference polygonal line for each separate character, and the continuous multisyllabic reference polygonal line for multisyllabic words, and comparing them with the learner's monosyllabic reference and the learner's continuous bi-syllabic reference to form a plurality of comparison parameters, and the step of assessment include one or more comparison parameters.

5. A speech assessment method for using the speech assessment device for the multisyllabic-word learning machine as claimed in claim 1 , comprising the following steps: a step of starting the assessment mode including using the central processing system to let the displaying unit displays the playing interface; a step of selecting words to be assessed including using the playing interface to select the standard continuous audio files for multisyllabic words, or the standard audio files for each separate character of the multisyllabic words from the standard speech database; a step of choosing to play or record including choosing a step of playing or a step of recording; a step of recording including using the speech receiving unit to receive and convert the words to be assessed spoken by the learner into the learner's continuous audio files for multisyllabic words, and the learner's audio files for each separate character of the multisyllabic words, wherein the learner's continuous audio files, and the learner's audio files are stored in the learner's speech database, and also transmitted to the audio visualization unit to create the learner's monosyllabic reference polygonal line for each separate character and the learner's continuous multisyllabic reference polygonal line for multisyllabic words, by conducting a step of visualization; the step of visualization including: a step of picking out fundamental frequency, a step of defining analysis point, a step of transforming polygonal lines, and a step of simplifying the polygonal lines, wherein the step of visualization is capable of simultaneously converting standard audio file into the reference polygonal line and converting the learner's audio file into the learner's polygonal line; the step of picking out fundamental frequency including selecting the most stable section of the frequency of the words spoken by the learner, picking out the fundamental frequency of the stable section, and forming a learner's initial curve corresponding to the first character of the multisyllabic words spoken by the learner, wherein the horizontal and vertical axes of the graph of the learner's initial curve are defined as a time axis and a frequency axis, respectively, the step of visualization is performed character by character to form the learner's monosyllabic reference polygonal line of the learner's monosyllabic reference polygonal line for each separate character; the step of defining analysis points including defining that the learner's initial curve includes a plurality of analysis points; the step of transforming polygonal lines including forming at least one section of line by connecting consequently connecting the four analysis points to one another, defining the section of line as an initial comparison syllable, so that the learner's initial curve presents a line which consists of the at least one section of straight line formed by the initial comparison syllables; the step of simplifying the polygonal lines including comparing or checking the durations of the initial comparison syllables, and the total duration of the learner's initial curve, if the duration of the first initial comparison syllable is found to be less than 30% of the total duration of the learner's initial curve, the first initial comparison syllable is considered as unrepresentative and then combined with a neighboring second initial comparison syllable to form a combined initial comparison syllable, then the combined initial comparison syllable is connected to another representative initial comparison to form a learner's monosyllabic reference polygonal line for bi-syllabic words; a step of repeating including: repeating the step of picking out fundamental frequency, the step of defining analysis point, the step of transforming polygonal lines, and the step of simplifying the polygonal lines, so as to convert the rest characters into the learner's monosyllabic reference polygonal line for bi-syllabic words of the learner's monosyllabic reference polygonal line, and connect the learner's monosyllabic reference polygonal line to form the learner's continuous bi-syllabic reference polygonal line which is to be displayed on the displaying unit; a step of assessment including picking up the monosyllabic reference polygonal line for each separate character, and the continuous multisyllabic reference polygonal line for multisyllabic words, and comparing them with the learner's monosyllabic reference and the learner's continuous bi-syllabic reference to form a plurality of comparison parameters, and the step of assessment include one or more comparison parameters. 10. The speech assessment method as claimed in claim 5 , wherein the unrepresentative initial comparison syllables in the step of simplifying the polygonal lines are combined into a combined initial comparison syllable by performing the following steps: connecting the analysis points of the unrepresentative initial comparison and the neighboring representative initial comparison, and extending to a position which is at the same point as the analysis point of the unrepresentative initial comparison along the time axis to form a seventh analysis point; defining an eighth analysis point at the center between the first and seventh analysis points, and forming a combined initial comparison syllable by connecting the eighth and fourth analysis points.

16. A computer readable medium having stored thereon instructions for performing the method of querying a document containing hierarchical information that includes parent nodes and descendent nodes, comprising: locating a first parent node in the document by using a mapping specification; determining if the first parent node satisfies a query; and fetching from the document nested descendent nodes relating to the first parent node in response to determining that the first parent node satisfies the query, wherein the locating the first parent node comprises parsing only parent nodes in the document.

16. A computer readable medium having stored thereon instructions for performing the method of querying a document containing hierarchical information that includes parent nodes and descendent nodes, comprising: locating a first parent node in the document by using a mapping specification; determining if the first parent node satisfies a query; and fetching from the document nested descendent nodes relating to the first parent node in response to determining that the first parent node satisfies the query, wherein the locating the first parent node comprises parsing only parent nodes in the document. 20. The computer readable medium of claim 16 , further comprises: outputting the parsed parent nodes to a filter; evaluating a predicate of the query, by the filter, to locate the first parent node among the parent nodes and selecting the nested descendent nodes relating to the first parent node.

13. A navigation system comprising: a processor; a geographic database that includes an index; and data storage containing instructions executable by the processor for carrying out destination functions, the functions including: receiving a location value; receiving a search term; generating an interwoven bit vector based on the search term and the location value, wherein the interwoven bit vector includes an interwoven character string containing alternating portions of the search term and the location value; and querying the index using the interwoven bit vector; and receiving a result set of document identifiers associated with destinations.

13. A navigation system comprising: a processor; a geographic database that includes an index; and data storage containing instructions executable by the processor for carrying out destination functions, the functions including: receiving a location value; receiving a search term; generating an interwoven bit vector based on the search term and the location value, wherein the interwoven bit vector includes an interwoven character string containing alternating portions of the search term and the location value; and querying the index using the interwoven bit vector; and receiving a result set of document identifiers associated with destinations. 19. The system of claim 13 , wherein the data storage further contains instructions executable by the processor for carrying out map display functions, the functions including: receiving the result set of document identifiers; retrieving documents associated with the document identifiers from the geographic database; and displaying a map that identifies locations specified within the documents.

26. The system of claim 21 , wherein the comparing comprises selecting the corresponding text fragment based at least in part on a similarity measure between one or more linguistic features of the at least a portion of the input text and the corresponding text fragment.

26. The system of claim 21 , wherein the comparing comprises selecting the corresponding text fragment based at least in part on a similarity measure between one or more linguistic features of the at least a portion of the input text and the corresponding text fragment. 29. The system of claim 26 , wherein the one or more linguistic features comprise one or more features selected from the group consisting of a named entity feature, a verb semantics feature, a noun semantics feature, an adjective semantics feature, an adverb semantics feature, and a syllable structure feature.

9. A method for automatically adding process nodes to print production workflows by inferring knowledge from asset metadata tags and using said knowledge during process network generation, comprising: providing a print product description; extracting asset metadata from a plurality of resources associated with said print product description; processing said asset metadata through an automated reasoning system to infer predefined characteristics from said asset metadata to form inferred metadata; and utilizing said inferred metadata to add and parameterize a process node to a process network.

9. A method for automatically adding process nodes to print production workflows by inferring knowledge from asset metadata tags and using said knowledge during process network generation, comprising: providing a print product description; extracting asset metadata from a plurality of resources associated with said print product description; processing said asset metadata through an automated reasoning system to infer predefined characteristics from said asset metadata to form inferred metadata; and utilizing said inferred metadata to add and parameterize a process node to a process network. 10. The method of claim 9 wherein said automated reasoning system further comprises rules-based reasoning.

14. A system for providing translation between a source language and a target language based on the selection of a topic by a user, said system comprising: circuitry for determining said selection of said topic by said user; input circuitry for receiving input messages in said source language; output circuitry for automatically producing translated messages in said target language based on said selection of said topic by said user; memory including partitions having a topical dictionary comprising at least one layer of bi-directional translations formed via a frequency-of-association comparison of a word file in said source language and a word file in said target language, said source and target language word files each being formed from a plurality of materials specific to said selected topic, a dual-language dictionary, syntax rules for said source language and for said target language, and grammatical rules for said source language and for said target language; and processing circuitry coupled to said input circuitry, to said output circuitry and to said memory, said processing circuitry processing said input messages from said source language into said target language to produced a translated message, at least by applying said input message against said topical dictionary to produce one or more translations of said input messages and one or more untranslated words, and by applying a conventional dual-language dictionary to said untranslated words to produce at least one translation of said untranslated words, said translated message being produced at least from said one or more translations and said at least one translation.

14. A system for providing translation between a source language and a target language based on the selection of a topic by a user, said system comprising: circuitry for determining said selection of said topic by said user; input circuitry for receiving input messages in said source language; output circuitry for automatically producing translated messages in said target language based on said selection of said topic by said user; memory including partitions having a topical dictionary comprising at least one layer of bi-directional translations formed via a frequency-of-association comparison of a word file in said source language and a word file in said target language, said source and target language word files each being formed from a plurality of materials specific to said selected topic, a dual-language dictionary, syntax rules for said source language and for said target language, and grammatical rules for said source language and for said target language; and processing circuitry coupled to said input circuitry, to said output circuitry and to said memory, said processing circuitry processing said input messages from said source language into said target language to produced a translated message, at least by applying said input message against said topical dictionary to produce one or more translations of said input messages and one or more untranslated words, and by applying a conventional dual-language dictionary to said untranslated words to produce at least one translation of said untranslated words, said translated message being produced at least from said one or more translations and said at least one translation. 20. The system for translating messages of claim 14, wherein said input circuitry comprises: a scanner; and optical character recognition circuitry.

3. The method of claim 2 , further comprising: receiving a reply message, in a first language, from the second user to the first user via a specific one of the plurality of message accounts; determining a second preferred language associated with the specific message account; and translating the reply message to the second preferred language when the first language is not the same as the second preferred language.

3. The method of claim 2 , further comprising: receiving a reply message, in a first language, from the second user to the first user via a specific one of the plurality of message accounts; determining a second preferred language associated with the specific message account; and translating the reply message to the second preferred language when the first language is not the same as the second preferred language. 5. The method of claim 3 , further comprising: broadcasting the reply message in the second preferred language to a plurality of users in a chat session.

12. A system for generating a visual representation of a continuous computation language (CCL) document, comprising: one or more processors; one or more memories coupled to the one or more processors; the CCL document being stored in the one or more memories and comprising one or more CCL statements; a text-to-visual mapping module being stored in the one or more memories and executing on the one or more processors and configured to convert the CCL statements to visual objects as a representation of instruction logic of the CCL document graphically on a display device, wherein to convert the CCL statements the text-to-visual mapping module is further configured to: for each CCL statement generate a plurality of parent nodes based on CCL statement keywords; identify different connection types between the plurality of parent nodes, wherein the connection types are based on semantics between the plurality of parent nodes; and draw the different connections between the plurality of parent nodes based on the different connection types; and the text-to-visual mapping module is further configured to: determine a number of instructions in each CCL statement that generated a parent node in the plurality of parent nodes; and based on the number of instructions, generate child nodes for the parent node, one child node per instruction in each CCL statement.

12. A system for generating a visual representation of a continuous computation language (CCL) document, comprising: one or more processors; one or more memories coupled to the one or more processors; the CCL document being stored in the one or more memories and comprising one or more CCL statements; a text-to-visual mapping module being stored in the one or more memories and executing on the one or more processors and configured to convert the CCL statements to visual objects as a representation of instruction logic of the CCL document graphically on a display device, wherein to convert the CCL statements the text-to-visual mapping module is further configured to: for each CCL statement generate a plurality of parent nodes based on CCL statement keywords; identify different connection types between the plurality of parent nodes, wherein the connection types are based on semantics between the plurality of parent nodes; and draw the different connections between the plurality of parent nodes based on the different connection types; and the text-to-visual mapping module is further configured to: determine a number of instructions in each CCL statement that generated a parent node in the plurality of parent nodes; and based on the number of instructions, generate child nodes for the parent node, one child node per instruction in each CCL statement. 15. The system of claim 12 , wherein a parent node represents a stream.

1. A method for controlling a web browser session, comprising: providing a controller on an interface server; receiving at the controller, from a requesting server, at least one script, the at least one script comprising a plurality of unique tags, which comprise instructions for performing a task at a controlling website of a host server specified in the script; managing the at least one script, wherein managing the at least one script includes comprises assigning the at least one script to an emulator on the interface server; and processing the at least one script with the emulator by executing the instructions utilizing a web browser session on the interface server to communicate with the host server, wherein processing the at least one script with the emulator comprises starting up the web browser session on the interface server, loading the controlling website of the host server, processing the plurality of unique tags at the controlling website, and sending a response to a location specified by the script.

1. A method for controlling a web browser session, comprising: providing a controller on an interface server; receiving at the controller, from a requesting server, at least one script, the at least one script comprising a plurality of unique tags, which comprise instructions for performing a task at a controlling website of a host server specified in the script; managing the at least one script, wherein managing the at least one script includes comprises assigning the at least one script to an emulator on the interface server; and processing the at least one script with the emulator by executing the instructions utilizing a web browser session on the interface server to communicate with the host server, wherein processing the at least one script with the emulator comprises starting up the web browser session on the interface server, loading the controlling website of the host server, processing the plurality of unique tags at the controlling website, and sending a response to a location specified by the script. 2. The method of claim 1 , wherein managing the at least one script further comprises placing the script in a controller queue on the interface server, the controller queue operable to contain a plurality of scripts.

1. A method comprising: receiving a request for an impression to be displayed in a placement of a web page; receiving a placement identifier particularly identifying the placement for the impression in the web page; receiving behavioral data indicative of an online history and previously received impressions; determining a plurality of candidate impressions that may be displayed in the placement of the web page, based, at least in part, on the behavioral data; determining a learning mode of each candidate impression, the learning mode of the each candidate impression being indicative of a number of times the each candidate impression has been served, wherein the learning mode is one of a plurality of learning modes, the plurality of learning modes comprising a first learning mode, a second learning mode, and a third learning mode, wherein the first learning mode includes candidate impressions that have been served less than or equal to a first predetermined threshold number of times, wherein the second learning mode includes candidate impressions that have been served more than the first predetermined threshold number of times and less than or equal to a second predetermined threshold number of times, and wherein the third learning mode includes candidate impressions that have been served more than the second predetermined threshold number of times; applying learning mode percentages to determine a retained learning mode from the plurality of learning modes; and selecting a selected impression from the plurality of candidate impressions that are in the retained learning mode.

1. A method comprising: receiving a request for an impression to be displayed in a placement of a web page; receiving a placement identifier particularly identifying the placement for the impression in the web page; receiving behavioral data indicative of an online history and previously received impressions; determining a plurality of candidate impressions that may be displayed in the placement of the web page, based, at least in part, on the behavioral data; determining a learning mode of each candidate impression, the learning mode of the each candidate impression being indicative of a number of times the each candidate impression has been served, wherein the learning mode is one of a plurality of learning modes, the plurality of learning modes comprising a first learning mode, a second learning mode, and a third learning mode, wherein the first learning mode includes candidate impressions that have been served less than or equal to a first predetermined threshold number of times, wherein the second learning mode includes candidate impressions that have been served more than the first predetermined threshold number of times and less than or equal to a second predetermined threshold number of times, and wherein the third learning mode includes candidate impressions that have been served more than the second predetermined threshold number of times; applying learning mode percentages to determine a retained learning mode from the plurality of learning modes; and selecting a selected impression from the plurality of candidate impressions that are in the retained learning mode. 4. The method of claim 1 , wherein the placement identifier comprises a hypertext markup language (HTML) tag.

11. A computing device comprising: at least one processor; and at least one module operable by the at least one processor to: detect a change to a power mode of the computing device; responsive to detecting the change to the power mode, process, from among a set of elements within a page of content that each specify a respective portion of the content in accordance with a markup language, the page of content to identify one or more elements of the set of elements that each have at least one respective attribute designated to be modified in response to the change to the power mode; modify, based on the change to the power mode, at least a portion of the at least one respective attribute of each of the identified one or more elements to associate the respective portion of the content specified by each of the identified one or more elements with a set of presentation properties; and render, for display in accordance with the set of presentation properties, the respective portion of the content specified by each of the identified one or more elements.

11. A computing device comprising: at least one processor; and at least one module operable by the at least one processor to: detect a change to a power mode of the computing device; responsive to detecting the change to the power mode, process, from among a set of elements within a page of content that each specify a respective portion of the content in accordance with a markup language, the page of content to identify one or more elements of the set of elements that each have at least one respective attribute designated to be modified in response to the change to the power mode; modify, based on the change to the power mode, at least a portion of the at least one respective attribute of each of the identified one or more elements to associate the respective portion of the content specified by each of the identified one or more elements with a set of presentation properties; and render, for display in accordance with the set of presentation properties, the respective portion of the content specified by each of the identified one or more elements. 12. The computing device of claim 11 , wherein the at least one module is further operable by the at least on processor to modify the at least a portion of the at least one respective attribute of each of the identified one or more elements by at least adding a power mode identifier associated with the set of presentation properties to the at least one respective attribute of each of the identified one or more elements, wherein the power mode identifier indicates one of a set of low-power presentation properties and a set of full-power presentation properties.

1. A machine-implemented method comprising: identifying, in a machine-readable index, a first sentence fragment and a second sentence fragment that are both associated with a same first information item, wherein the first information item is one of a date, an entity name, and a concept, wherein the index comprises a plurality of information items and sentence fragments associated with respective of the information items; in response to identifying that the first sentence fragment and the second sentence fragment are both associated with the same first information item, identifying a paraphrase pair in the first and second sentence fragments; repeating the identifying of the first sentence fragment and the second sentence fragment and the identifying of the paraphrase pair to identify a plurality of paraphrase pairs; and determining a frequency of occurrence value for each of the paraphrase pairs, wherein the frequency of occurrence value embodies the frequency at which each paraphrase pair appears in the plurality of paraphrase pairs, wherein the paraphrase pair comprises a first paraphrase and a second paraphrase, the first paraphrase comprises a proper subset of the words in the first sentence fragment, the second paraphrase comprises a proper subset of the words in the second sentence fragment, the first paraphrase and the second paraphrase are in a same language, have a same or a similar meaning, and are not identical, and the first and second sentence fragments and the paraphrase pair are identified by one or more data processors that perform actions under the instruction of computer-readable instructions.

1. A machine-implemented method comprising: identifying, in a machine-readable index, a first sentence fragment and a second sentence fragment that are both associated with a same first information item, wherein the first information item is one of a date, an entity name, and a concept, wherein the index comprises a plurality of information items and sentence fragments associated with respective of the information items; in response to identifying that the first sentence fragment and the second sentence fragment are both associated with the same first information item, identifying a paraphrase pair in the first and second sentence fragments; repeating the identifying of the first sentence fragment and the second sentence fragment and the identifying of the paraphrase pair to identify a plurality of paraphrase pairs; and determining a frequency of occurrence value for each of the paraphrase pairs, wherein the frequency of occurrence value embodies the frequency at which each paraphrase pair appears in the plurality of paraphrase pairs, wherein the paraphrase pair comprises a first paraphrase and a second paraphrase, the first paraphrase comprises a proper subset of the words in the first sentence fragment, the second paraphrase comprises a proper subset of the words in the second sentence fragment, the first paraphrase and the second paraphrase are in a same language, have a same or a similar meaning, and are not identical, and the first and second sentence fragments and the paraphrase pair are identified by one or more data processors that perform actions under the instruction of computer-readable instructions. 4. The method of claim 1 , wherein: the first sentence fragment and the second sentence fragment each comprises a plurality of tokens; and identifying the paraphrase pair comprises: aligning the first sentence fragment and the second sentence fragment to match tokens in the first sentence fragment with tokens in the second sentence fragment; identifying one or more tokens in the first sentence fragment that are dissimilar to one or more tokens in the second sentence fragment; and identifying the paraphrase pair from the dissimilar tokens.

1. A telephone, comprising: a first user interface part for the telephone that has a display screen, a microphone, a camera, and a processor, the telephone operating for making and receiving calls, the processor operating to use the camera and microphone to record a first picture and sound of a user speaking, and the processor operating to set the first picture and sound of the user speaking as being a customized message that includes at least the picture and sound as two different forms of media that are combined together; and and the processor operating to play the customized message sent as part of an outgoing communication to another user who is being contacted by the user, in place of a numerical caller ID, wherein the telephone also operates for sending text messages, the processor operating to use the camera and microphone to record a second picture and sound of the user speaking, which is different than the first picture and sound of the user speaking, and using said second picture and sound to form a second customized message for texts, and to send the second customized message to said another user who is receiving a text message from the user.

1. A telephone, comprising: a first user interface part for the telephone that has a display screen, a microphone, a camera, and a processor, the telephone operating for making and receiving calls, the processor operating to use the camera and microphone to record a first picture and sound of a user speaking, and the processor operating to set the first picture and sound of the user speaking as being a customized message that includes at least the picture and sound as two different forms of media that are combined together; and and the processor operating to play the customized message sent as part of an outgoing communication to another user who is being contacted by the user, in place of a numerical caller ID, wherein the telephone also operates for sending text messages, the processor operating to use the camera and microphone to record a second picture and sound of the user speaking, which is different than the first picture and sound of the user speaking, and using said second picture and sound to form a second customized message for texts, and to send the second customized message to said another user who is receiving a text message from the user. 2. The telephone as in claim 1 , wherein the processor controls sending the customized message to said another user who is being called, in place of a caller ID.

2. The method of claim 1 , further comprising performing a word processing function on text located between the first endpoint and the second endpoint.

2. The method of claim 1 , further comprising performing a word processing function on text located between the first endpoint and the second endpoint. 3. The method of claim 2 , wherein the word processing function comprises one of copying or cutting the selected text.

5. The method of claim 1 , further comprising, if another active script database is designated by the user terminal, updating, by the script management server, the stored identifier of the active script database.

5. The method of claim 1 , further comprising, if another active script database is designated by the user terminal, updating, by the script management server, the stored identifier of the active script database. 6. The method of claim 5 , further comprising removing a script list and script codes of the corresponding user through the user terminal.

9. A system comprising: a processor; and a computer-readable storage medium having instructions stored which, when executed by the processor, cause the processor to perform operations comprising: receiving text having a first part of the text and a second part of the text, wherein the text is associated with one language; identifying a recipient of speech to be generated from the text; identifying a location of the recipient of the speech; when the location comprises a first location: selecting a first language for the first part of the text and a second language for the second part of the text; generating first speech from the text, wherein the first speech comprises a first portion corresponding to the first part of the text and a second portion corresponding to the second part of the text, the first portion in the first language and the second portion in the second language; and communicating the first speech to the recipient; and when the location comprises a second location that differs from the first location: generating second speech from the text wherein the second speech comprises the first portion and the second portion both being in a same language; and communicating the second speech to the recipient.

9. A system comprising: a processor; and a computer-readable storage medium having instructions stored which, when executed by the processor, cause the processor to perform operations comprising: receiving text having a first part of the text and a second part of the text, wherein the text is associated with one language; identifying a recipient of speech to be generated from the text; identifying a location of the recipient of the speech; when the location comprises a first location: selecting a first language for the first part of the text and a second language for the second part of the text; generating first speech from the text, wherein the first speech comprises a first portion corresponding to the first part of the text and a second portion corresponding to the second part of the text, the first portion in the first language and the second portion in the second language; and communicating the first speech to the recipient; and when the location comprises a second location that differs from the first location: generating second speech from the text wherein the second speech comprises the first portion and the second portion both being in a same language; and communicating the second speech to the recipient. 14. The system of claim 9 , the computer-readable storage medium having additional instructions stored which result in the operations further comprising: receiving, from the recipient, input indicating a category corresponding to one of the first part of the text and the second part of the text.

15. Apparatus for automatically modifying one or more real-time social signaling characteristics of an audio input signal to produce a modified audio output signal comprising, in combination, a digital signal analyzer for determining the boundaries between speech segments and non-speech segments of said audio input signal, a digital signal processor for modifying one or more controllable parameters of said speech segments to produce modified speech segments having one or more modified real-time social signaling characteristics, and output means for combining said modified speech segments with said non-speech segments to produce said modified audio output signal, wherein said audio input signal is from a microphone.

15. Apparatus for automatically modifying one or more real-time social signaling characteristics of an audio input signal to produce a modified audio output signal comprising, in combination, a digital signal analyzer for determining the boundaries between speech segments and non-speech segments of said audio input signal, a digital signal processor for modifying one or more controllable parameters of said speech segments to produce modified speech segments having one or more modified real-time social signaling characteristics, and output means for combining said modified speech segments with said non-speech segments to produce said modified audio output signal, wherein said audio input signal is from a microphone. 17. The apparatus of claim 15 , wherein the audio input signal is a live signal.

6. The method of claim 1 , further comprising generating at least one other XML element defining attribute values required for the XML document.

6. The method of claim 1 , further comprising generating at least one other XML element defining attribute values required for the XML document. 7. The method of claim 6 , wherein generating the at least one other XML element comprises defaulting attribute values per attribute according to a data type specified by the predefined schema.

7. The non-transitory machine-readable medium of claim 1 , wherein at least one of the retrieved one or more deviation rules defines an allowed value, threshold or range of a variable and wherein the at least one deviation rule identifies a business term as non-conforming when the business term contains a value for a variable that is different than the allowed value, beyond the threshold or outside of the range.

7. The non-transitory machine-readable medium of claim 1 , wherein at least one of the retrieved one or more deviation rules defines an allowed value, threshold or range of a variable and wherein the at least one deviation rule identifies a business term as non-conforming when the business term contains a value for a variable that is different than the allowed value, beyond the threshold or outside of the range. 8. The non-transitory machine-readable medium of claim 7 , wherein at least one of the retrieved one or more deviation rules includes at least one operator selected from the group consisting of IS, IS NOT, IN, NOT IN, >=, <=, >, <, =and ≠.