Abstract: Affinity-based preferential call technique, in one aspect, may improve performance of distributed applications in a hybrid system having heterogeneous platforms. A segment of code in a program being executed on a processor may be intercepted or trapped in runtime. A platform is selected in the hybrid system for executing said segment of code, the platform determined to run the segment of code with best efficiency among a plurality of platforms in the hybrid system. The segment of code is dynamically executed on the selected platform determined to run the segment of code with best efficiency.

Abstract: Affinity-based preferential call technique, in one aspect, may improve performance of distributed applications in a hybrid system having heterogeneous platforms. A segment of code in a program being executed on a processor may be intercepted or trapped in runtime. A platform is selected in the hybrid system for executing said segment of code, the platform determined to run the segment of code with best efficiency among a plurality of platforms in the hybrid system. The segment of code is dynamically executed on the selected platform determined to run the segment of code with best efficiency.

Abstract: Managing buffers in a hybrid system, in one aspect, may comprise selecting a first buffer management method from a plurality of buffer management methods; capturing statistics associated with access to the buffer in the hybrid system running under the initial buffer management method; analyzing the captured statistics; identifying a second buffer management method based on the analyzed captured statistics; determining whether the second buffer management method is more optimal than the first buffer management method; in response to determining that the second buffer management method is more optimal than the first buffer management method, invoking the second buffer management method; and repeating the capturing, the analyzing, the identifying and the determining.

Abstract: Managing buffers in a hybrid system, in one aspect, may comprise selecting a first buffer management method from a plurality of buffer management methods; capturing statistics associated with access to the buffer in the hybrid system running under the initial buffer management method; analyzing the captured statistics; identifying a second buffer management method based on the analyzed captured statistics; determining whether the second buffer management method is more optimal than the first buffer management method; in response to determining that the second buffer management method is more optimal than the first buffer management method, invoking the second buffer management method; and repeating the capturing, the analyzing, the identifying and the determining.

Abstract: Techniques for assisting in translation are provided. A speech recognition hypothesis is obtained, corresponding to a source language utterance. Information retrieval is performed on a supplemental database, based on a situational context, to obtain at least one word string that is related to the source language utterance. The speech recognition hypothesis and the word string are then formatted for display to a user, to facilitate an appropriate selection by the user for translation.

Abstract: The present invention relates to a novel drug delivery and release system, i.e. Self-emulsifying Drug Delivery System (SEDDS), of butylphthalide, to a preparation process thereof, and to a use thereof in a pharmaceutical formulation. The drug delivery system comprises as essential ingredients 1% to 65% of butylphthalide and 10% to 65% of a emulsifying agent, together with various excipients as required depending on the desired dosage forms. The present invention significantly increases the contact area between butylphthalide and the mucous membrane of the gastrointestinal tract, and therefore improves the absorptivity of the drug.

Abstract: A natural language business system and method is developed to understand the underlying meaning of a person's speech, such as during a transaction with the business system. The system includes a speech recognition engine, and action classification engine, and a control module.

Abstract: Detecting localizable native methods may include statically analyzing a native binary file of a native method. For each function call invoked in the native binary, it is checked whether resources accessed through the function call is locally available or not. If all resources accessed though the native method is locally available, the method is annotated as localizable.

Abstract: A natural language business system and method is developed to understand the underlying meaning of a person's speech, such as during a transaction with the business system. The system includes a speech recognition engine, and action classification engine, and a control module. The control module causes the system to execute an inventive method wherein the speech recognition and action classification models may be recursively optimized on an unisolated performance metric that is pertinent to the overall performance of the natural language business system, as opposed to the isolated model-specific criteria previously employed.

Abstract: A system and method for speech translation includes a bridge module connected between a first component and a second component. The bridge module includes a transformation model configured to receive an original hypothesis output from a first component. The transformation model has one or more transformation features configured to transform the original hypothesis into a new hypothesis that is more easily translated by the second component.

Abstract: Techniques for employing improved prompts in a speech-to-speech translation system are disclosed. By way of example, a technique for use in indicating a dialogue turn in an automated speech-to-speech translation system comprises the following steps/operations. One or more text-based scripts are obtained. The one or more text-based scripts are synthesizable into one or more voice prompts. At least one of the one or more voice prompts is synthesized for playback from at least one of the one or more text-based scripts, the at least one synthesized voice prompt comprising an audible message in a language understandable to a speaker interacting with the speech-to-speech translation system, the audible message indicating a dialogue turn in the automated speech-to-speech translation system.

Abstract: Detecting localizable native methods may include statically analyzing a native binary file of a native method. For each function call invoked in the native binary, it is checked whether resources accessed through the function call is locally available or not. If all resources accessed though the native method is locally available, the method is annotated as localizable.

Abstract: Detecting localizable native methods may include statically analyzing a native binary file of a native method. For each function call invoked in the native binary, it is checked whether resources accessed through the function call is locally available or not. If all resources accessed though the native method is locally available, the method is annotated as localizable.

Abstract: Affinity-based preferential call technique, in one aspect, may improve performance of distributed applications in a hybrid system having heterogeneous platforms. A segment of code in a program being executed on a processor may be intercepted or trapped in runtime. A platform is selected in the hybrid system for executing said segment of code, the platform determined to run the segment of code with best efficiency among a plurality of platforms in the hybrid system. The segment of code is dynamically executed on the selected platform determined to run the segment of code with best efficiency.

Abstract: Affinity-based preferential call technique, in one aspect, may improve performance of distributed applications in a hybrid system having heterogeneous platforms. A segment of code in a program being executed on a processor may be intercepted or trapped in runtime. A platform is selected in the hybrid system for executing said segment of code, the platform determined to run the segment of code with best efficiency among a plurality of platforms in the hybrid system. The segment of code is dynamically executed on the selected platform determined to run the segment of code with best efficiency.

Abstract: Systems and methods for active learning of statistical machine translation systems through dynamic creation and updating of parallel corpus. The systems and methods provided create accurate parallel corpus entries from a test set of sentences, words, phrases, etc. by calculating confidence scores for particular translations. Translations with high confidence scores are added directly to the corpus and the translations with low confidence scores are presented to human translations for corrections.

Abstract: Systems and methods for active learning of statistical machine translation systems through dynamic creation and updating of parallel corpus. The systems and methods provided create accurate parallel corpus entries from a test set of sentences, words, phrases, etc. by calculating confidence scores for particular translations. Translations with high confidence scores are added directly to the corpus and the translations with low confidence scores are presented to human translations for corrections.

Abstract: Systems and methods for active learning of statistical machine translation systems through dynamic creation and updating of parallel corpus. The systems and methods provided create accurate parallel corpus entries from a test set of sentences, words, phrases, etc. by calculating confidence scores for particular translations. Translations with high confidence scores are added directly to the corpus and the translations with low confidence scores are presented to human translations for corrections.

Abstract: A system and method for training a statistical machine translation model and decoding or translating using the same is disclosed. A source word versus target word co-occurrence matrix is created to define word pairs. Dimensionality of the matrix may be reduced. Word pairs are mapped as vectors into continuous space where the word pairs are vectors of continuous real numbers and not discrete entities in the continuous space. A machine translation parametric model is trained using an acoustic model training method based on word pair vectors in the continuous space.

Abstract: A system and method for automatic user training in speech-to-speech translation includes integrating an automatic user response system configured to be responsive to a plurality of training items and selecting a training item from the plurality of training items. For the selected training item, in response to an utterance in a first language, the utterance is translated into a second language, and a response to the utterance in the second language is generated. A simulated action corresponding with the response in accordance with a user speaking the second language is also generated. The response and simulated action are output as a learning exercise for learning operations of the automatic user response system.