发明名称 SYSTEMS AND METHODS FOR TRAINING STATISTICAL SPEECH TRANSLATION SYSTEMS FROM SPEECH
摘要 An iterative language translation system. The system includes a first automatic speech recognition component adapted to recognize spoken language in a source language and to create a source language hypothesis and a first machine translation component adapted to translate the source language hypothesis into a target language. The system also includes a second automatic speech recognition component adapted to recognize spoken language in the target language that is spoken by a translator, and wherein the second automatic speech recognition component is further adapted to create a target language hypothesis. The system further includes a second machine translation component adapted to translate the target language hypothesis into the source language, wherein the translation of the target language hypothesis into the source language is used to adapt the first automatic speech recognition component, wherein the translation of the source language hypothesis into the target language is used to adapt the second automatic speech recognition component, wherein the source language hypothesis is used to adapt the first machine translation component and the second machine translation component, and wherein the target language hypothesis is used to adapt the first machine translation component and the second machine translation component.
申请公布号 US2007271088(A1) 申请公布日期 2007.11.22
申请号 US20070751909 申请日期 2007.05.22
申请人 MOBILE TECHNOLOGIES, LLC 发明人 WAIBEL ALEX;PAULIK MATTHIAS
分类号 G06F17/27 主分类号 G06F17/27
代理机构 代理人
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