Abstract: A method of providing real-time speech analysis to a user includes capturing a speech input, performing a real-time recognition of the speech input including converting the speech input to a text, analyzing the recognized speech input to identify an error in a voice of the user, the analyzing including comparing a voice of a correct text generated by an automated speech generation system with the captured speed input, and processing the text to extract a context dialog prompt.

Abstract: A method of translating information using crowdsourcing includes evaluating a metric related to a content to be translated, determining a priority for the content, queuing the content for the crowdsourcing based on the priority determined from the metric, and translating the information from a language to another language using the crowdsourcing.

Abstract: A method of providing real-time speech analysis to a user includes capturing a speech input, performing a real-time recognition of the speech input including converting the speech input to a text, analyzing the recognized speech input to identify an error in a voice of the user, the analyzing including comparing a voice of a correct text generated by an automated speech generation system with the captured speed input, and processing the text to extract a context dialog prompt.

Abstract: A method of providing real-time speech analysis for a user includes capturing a speech input, performing a real-time recognition of the speech input including converting the speech input to a text using an automatic speech recognition component, analyzing the recognized speech input, by a processing unit of a computer in a speech recognition and analyzing system, to identify an error in the user's speech, and by comparing a voice of a correct text generated by a speech generation and analyzing system with the captured speech input, and providing a real-time correction to the user based on a result of the comparing the voice of the correct text with the captured speech input. The comparing the voice of the correct text with the captured speech input includes comparing a standard pronunciation of the correct text with a pronunciation of the user in the captured speech input to identify the error.

Abstract: Systems and methods for generating content corresponding to an event are provided. A method for generating content corresponding to an event, comprises defining a plurality of sub-events of the event, classifying one or more actual occurrences in the event into one or more of the sub-events, monitoring behavior of one or more users to determine areas of the event of interest to the one or more users, linking the one or more users to the one or more classified actual occurrences based on the areas of the event of interest, and generating content for the one or more classified actual occurrences.

Abstract: Approaches for translating a transliterated search query are provided. An approach includes receiving a search query containing a transliterated word. The approach also includes determining a source language corresponding to the transliterated word. The approach further includes converting the transliterated word to a word in the source language. The approach additionally includes translating the word in the source language to a word in a target language. The approach also includes performing a search using the word in the target language.

Abstract: Computing system resources are controlled based on the behavioral attributes associated with users of the computing system. These behavioral attributes are monitored in real time and through a historical log, and behavioral attributes that fall outside pre-determined preferred behavioral parameters are detected. Access by the computing system user to computing system resources contained in a preferred and habitually accessed computing system resource set associated with the computing system user are adjusted in response to the detection of the behavioral attribute outside the pre-determined preferred behavioral parameters.

Abstract: In a method for generating a searchable index from an analysis of a software application, receiving a first software application. The one or more processors determine that a first source code of the first software application is inaccessible. The one or more processors stimulate the first software application. The one or more processors analyze textual data resulting from the stimulation of the first software application. The one or more processors classify one or more images resulting from the stimulation of the first software application. The one or more processors index the analyzed textual data and the classified one or more images resulting from the stimulation of the first software application.

Abstract: Approaches for translating a transliterated search query are provided. An approach includes receiving a search query containing a transliterated word. The approach also includes determining a source language corresponding to the transliterated word. The approach further includes converting the transliterated word to a word in the source language. The approach additionally includes translating the word in the source language to a word in a target language. The approach also includes performing a search using the word in the target language.

Abstract: Approaches for translating a transliterated search query are provided. An approach includes receiving a search query containing a transliterated word. The approach also includes determining a source language corresponding to the transliterated word. The approach further includes converting the transliterated word to a word in the source language. The approach additionally includes translating the word in the source language to a word in a target language. The approach also includes performing a search using the word in the target language.

Abstract: An input text string is received that contains characters or words. The input text string can be completed or corrected using contact scores based on n-grams. In addition, a subsequent text string and a preceding text string for the input text string are also identified, again using n-gram scores. A corrected text string is created by inserting the preceding text string before the input text string and appending the subsequent text string after the input text string.

Abstract: A method of translating information using crowdsourcing includes evaluating a metric related to a content to be translated, determining a priority for the content, queuing the content for the crowdsourcing based on the priority determined from the metric, and translating the information from a language to another language using the crowdsourcing.

Abstract: A structure and method for crowdsourcing includes evaluating a metric related to a content to be translated, determining a priority for the content based on the metric related to the content, and queuing the content for crowdsourcing based on the priority determined from the metric.

Abstract: Systems and methods for using biometrics to select music preference are provided. A system for using biometrics to select music preferences for a user in a vehicle, comprises a music selection module electrically coupled to at least one biometric sensor in the vehicle, wherein the at least one biometric sensor senses a characteristic of the user and outputs data for the sensed characteristic to the music selection module, and wherein the music selection module selects a music selection for the user based on the sensed characteristic data, and a controller module electrically coupled to the music selection module to control playing of the music selection, wherein the controller module receives an output including the music selection from the music selection module.

Abstract: Approaches for translating a transliterated search query are provided. An approach includes receiving a search query containing a transliterated word. The approach also includes determining a source language corresponding to the transliterated word. The approach further includes converting the transliterated word to a word in the source language. The approach additionally includes translating the word in the source language to a word in a target language. The approach also includes performing a search using the word in the target language.

Abstract: Approaches for translating a transliterated search query are provided. An approach includes receiving a search query containing a transliterated word. The approach also includes determining a source language corresponding to the transliterated word. The approach further includes converting the transliterated word to a word in the source language. The approach additionally includes translating the word in the source language to a word in a target language. The approach also includes performing a search using the word in the target language.

Abstract: Systems and methods for using biometrics to select music preference are provided. A system for using biometrics to select music preferences for a user in a vehicle, comprises a music selection module electrically coupled to at least one biometric sensor in the vehicle, wherein the at least one biometric sensor senses a characteristic of the user and outputs data for the sensed characteristic to the music selection module, and wherein the music selection module selects a music selection for the user based on the sensed characteristic data, and a controller module electrically coupled to the music selection module to control playing of the music selection, wherein the controller module receives an output including the music selection from the music selection module.

Abstract: A system and an article of manufacture for discriminative learning via hierarchical transformations, which includes obtaining a model of a first set of data, two or more data transformations, and a second set of data, evaluating the two or more data transformations to determine which data transformation will most effectively modify the second set of data to match the model, and selecting the data transformation that will most effectively modify the second set of data to match the model based on the evaluation.

Abstract: Identifying significant media granulars may comprise partitioning a media document into one or more media granulars. A score may be assigned to each of the one or more media granulars. The one or more media granulars may be monitored to detect one or more user actions on the one or more media granular. The score associated with a respective one of the media granulars may be updated based on a number of user actions detected on the respective one of the media granulars. A media granular may be identified as being significant based on the score meeting a threshold.

Abstract: Systems and methods for automatically generating e-mail subject lines are provided. A method for automatic generation of subject lines for electronic mail (email), comprises extracting topics from an email message, computing a sender relevance score for each topic, computing a receiver relevance score for each topic, ranking the topics based on the sender and receiver relevance scores, extracting syntactic units from the email message, ranking the extracted syntactic units from the email message based on the topic ranking, and assigning one or more subject lines to the email message based on the ranking of the syntactic units.