The spoken language translator

Hosted Content(2007)

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摘要
This original volume describes the Spoken Language Translator (SLT), one of the first major automatic speech translation projects. The SLT system can translate between English, French, and Swedish in the domain of air travel planning, using a vocabulary of about 1500 words, and with an accuracy of about 75%. The authors detail the language processing components, largely built on top of the SRI Core Language Engine, using a combination of general grammars and techniques that allow them to be rapidly customized to specific domains. They base speech recognition on Hidden Markov Mode technology, and use versions of the SRI DECIPHER system. This account of SLT is an essential resource for researchers interested in knowing what is achievable in spoken-language translation today.
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关键词
air travel planning,sri core language engine,major automatic speech translation,slt system,spoken-language translation,spoken language translator,base speech recognition,language translator,authors detail,hidden markov mode technology,sri decipher system,computational linguistics
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