首页> 外文会议>Pacific Association for Computational Linguistics Conference(PACLING'03); 20030822-25; Halifax(CA) >EVALUATION OF THE RULE ACQUISITION ON A DIRECT SPEECH TRANSLATION METHOD WITH WAVEFORMS USING INDUCTIVE LEARNING FOR NOUNS AND NOUN PHRASES
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EVALUATION OF THE RULE ACQUISITION ON A DIRECT SPEECH TRANSLATION METHOD WITH WAVEFORMS USING INDUCTIVE LEARNING FOR NOUNS AND NOUN PHRASES

机译:利用名词和名词短语的感应学习对带有波形的直接语音翻译方法的规则获取进行评估

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This paper evaluates a direct speech translation method with waveforms using Inductive Learning Method for nouns and noun phrases extracted from real conversations. The proposed method treats only acoustic characteristics of speech waveforms of source and target languages without obtaining character strings from speech utterances. And our method is realized by learning translation rules that have acoustic correspondence between two languages recursively. Therefore, we are able to avoid some serious problems of conventional speech recognition and speech synthesis because syntactic expressions are not needed for translation. This speech translation method can be utilized for any language because the system has no processing dependent on an individual character of a specific language to realize speech translation. In this paper, we deal with a translation between Japanese and English.
机译:本文使用归纳学习方法对从真实对话中提取的名词和名词短语的波形进行直接语音翻译方法的评估。所提出的方法仅处理源语言和目标语言的语音波形的声学特性,而没有从语音中获得字符串。我们的方法是通过递归学习两种语言之间具有声学对应关系的翻译规则来实现的。因此,我们可以避免传统语音识别和语音合成中的一些严重问题,因为不需要语法表达来进行翻译。该语音翻译方法可以用于任何语言,因为系统没有依赖于特定语言的单个字符的处理来实现语音翻译。在本文中,我们处理日语和英语之间的翻译。

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