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首页> 外文期刊>Proceedings of the National Academy of Sciences of the United States of America >INTEGRATION OF SPEECH WITH NATURAL LANGUAGE UNDERSTANDING
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INTEGRATION OF SPEECH WITH NATURAL LANGUAGE UNDERSTANDING

机译：语音与自然语言理解的结合

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The integration of speech recognition with natural language understanding raises issues of how to adapt natural language processing to the characteristics of spoken language; how to cope with errorful recognition output, including the use of natural language information to reduce recognition errors; and how to use information from the speech signal, beyond just the sequence of words, as an aid to understanding, This paper reviews current research addressing these questions in the Spoken Language Program sponsored by the Advanced Research Projects Agency (ARPA). I begin by reviewing some of the ways that spontaneous spoken language differs from standard written language and discuss methods of coping with the difficulties of spontaneous speech, I then look at how systems cope with errors in speech recognition and at attempts to use natural language information to reduce recognition errors. Finally, I discuss how prosodic information in the speech signal might be used to improve understanding. [References: 24]
机译：语音识别与自然语言理解的集成提出了如何使自然语言处理适应口头语言特征的问题。如何应对错误的识别输出，包括使用自然语言信息来减少识别错误；本文还回顾了由高级研究计划局（ARPA）赞助的口语计划中针对这些问题的当前研究，以及如何利用语音信号中的信息（不仅仅是单词序列）来帮助理解。首先，我将回顾一些自发性口语与标准书面语言不同的方式，并讨论解决自发性语音困难的方法，然后探讨系统如何应对语音识别中的错误，并尝试使用自然语言信息来解决此类问题。减少识别错误。最后，我讨论了语音信号中的韵律信息如何用于增进理解。 [参考：24]

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