Aggregating Distributed Stt, Mt, And Information Extraction Engines: The Gale Interoperability-Demo System

John F. Pitrelli,Burn L. Lewis,Edward A. Epstein,Martin Franz,Daniel Kiecza,Jerome L. Quinn,Ganesh N. Ramaswamy,Amit Srivastava,Paola Virga

INTERSPEECH 2008: 9TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2008, VOLS 1-5（2008）

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摘要

Natural-language-processing engines are now attaining accuracy sufficient to begin combining them to perform more complex tasks. The GALE Interoperability Demo system consists of 12 engines including speech recognition, translation, and various information extraction engines, intcroperated to make Arabic news video browsable as English text grouped and summarized by topic. Unstructured Information Management Architecture serves as the framework enabling remote pipelined and parallelized operation of these engines operating on their native computing platforms at their home sites.

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关键词

interoperation, speech recognition, speech-to-text, entity detection, translation, story-boundary detection, summarization, headline generation, unstructured information, UIMA, NLP, STT, MT

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