Abstract: Client side code of a web application can be received by a mobile device. The mobile device can automatically inject mobile aware code into the client side code of the web application. The mobile aware code can modify the client side code of the web application for use by the mobile device, wherein the client side code of the web application is not modified for use by the mobile device prior to the mobile aware code being injected. The client side code of the web application modified by the mobile aware code can be executed by the mobile device.

Abstract: Client side code of a web application can be received by a mobile device. The mobile device can automatically inject mobile aware code into the client side code of the web application. The mobile aware code can modify the client side code of the web application for use by the mobile device, wherein the client side code of the web application is not modified for use by the mobile device prior to the mobile aware code being injected. The client side code of the web application modified by the mobile aware code can be executed by the mobile device.

Abstract: Client side code of a web application can be received by a mobile device. The mobile device can automatically inject mobile aware code into the client side code of the web application. The mobile aware code can modify the client side code of the web application for use by the mobile device, wherein the client side code of the web application is not modified for use by the mobile device prior to the mobile aware code being injected. The client side code of the web application modified by the mobile aware code can be executed by the mobile device.

Abstract: Client side code of a web application can be received by a mobile device. The mobile device can automatically inject mobile aware code into the client side code of the web application. The mobile aware code can modify the client side code of the web application for use by the mobile device, wherein the client side code of the web application is not modified for use by the mobile device prior to the mobile aware code being injected. The client side code of the web application modified by the mobile aware code can be executed by the mobile device.

Abstract: Constructing an automaton for automated analysis of agglutinative languages comprises: constructing an affix automaton for each of a plurality of affix types of an agglutinative language, where each of the affix types is associated with one or more affixes associated with a morphological concept; combining any of the affix automatons to form a plurality of template automatons, where each of the template automatons is patterned after any of a plurality of agglutination templates of any of the affix types for the language; and combining the template automatons into a master automaton.

Abstract: Document redaction includes identifying within a computer-based document stored on computer-readable storage medium, a candidate redaction element that is of a predefined redaction element type, identifying an evaluation element that is of a predefined evaluation element type and that is associated with the candidate redaction element, identifying a predefined logic expression that is associated with the redaction element type and that operates on the evaluation element type, evaluating the logic expression which generates a value, identifying a predefined permission expression that is associated with the logic expression, that operates on the value, and that is associated with a recipient role, evaluating the permission expression, which identifies a redaction directive, and applying the redaction directive to the candidate redaction element within the computer-based document prior to the computer-based document being provided to a recipient having the recipient role.

Abstract: Document redaction includes identifying within a computer-based document stored on computer-readable storage medium, a candidate redaction element that is of a predefined redaction element type, identifying an evaluation element that is of a predefined evaluation element type and that is associated with the candidate redaction element, identifying a predefined logic expression that is associated with the redaction element type and that operates on the evaluation element type, evaluating the logic expression which generates a value, identifying a predefined permission expression that is associated with the logic expression, that operates on the value, and that is associated with a recipient role, evaluating the permission expression, which identifies a redaction directive, and applying the redaction directive to the candidate redaction element within the computer-based document prior to the computer-based document being provided to a recipient having the recipient role.

Abstract: A hybrid n-gram/lexical analysis tokenization system including a lexicon and a hybrid tokenizer operative to perform both N-gram tokenization of a text and lexical analysis tokenization of a text using the lexicon, and to construct either of an index and a classifier from the results of both of the N-gram tokenization and the lexical analysis tokenization, where the hybrid tokenizer is implemented in at least one of computer hardware and computer software and is embodied within a computer-readable medium.

Abstract: Illustrated embodiments provide a computer implemented method, an apparatus, and a computer program product for unsupervised stemming schema learning and lexicon acquisition from corpora. In one illustrative embodiment, the computer implemented method obtains a corpus from corpora, analyzes the corpus to deduce a set of possible stemming schema and reviews and revises the set of possible stemming schema, to create a pruned set of stemming schema. The computer implemented method further deduces a lexicon from the corpus using the pruned set of stemming schema.

Abstract: Illustrative embodiments provide a computer implemented method, apparatus, and computer program product for learning word segmentation from non-white space language corpora. In one illustrative embodiment, the computer implemented method receives text input characters and calculates a ratio-measure for each pair of characters in the input characters. The computer implemented method further determines whether the ratio-measure of each pair of characters is equal to a predetermined threshold value. Responsive to determining the ratio-measure is less than the predetermined threshold value, and a local-minimum value, the computer method further identifies the pair as a weak pair and breaks the weak pair of characters.

Abstract: Illustrated embodiments provide a computer implemented method, an apparatus, and a computer program product for unsupervised stemming schema learning and lexicon acquisition from corpora. In one illustrative embodiment, the computer implemented method obtains a corpus from corpora, analyzes the corpus to deduce a set of possible stemming schema and reviews and revises the set of possible stemming schema, to create a pruned set of stemming schema. The computer implemented method further deduces a lexicon from the corpus using the pruned set of stemming schema.

Abstract: A method for constructing an automaton for automated analysis of agglutinative languages, the method including constructing an affix automaton for each of a plurality of affix types of an agglutinative language, where each of the affix types is associated with one or more affixes associated with a morphological concept, combining any of the affix automatons to form a plurality of template automatons, where each of the template automatons is patterned after any of a plurality of agglutination templates of any of the affix types for the language, and combining the template automatons into a master automaton.

Abstract: A hybrid n-gram/lexical analysis tokenization system including a lexicon and a hybrid tokenizer operative to perform both N-gram tokenization of a text and lexical analysis tokenization of a text using the lexican, and to construct either of an index and a classifier from the results of both of the N-gram tokenization and the lexical analysis tokenization, where the hybrid tokenizer is implemented in at least one of computer hardware and computer software and is embodied within a computer-readable medium.