Language and Pronunciation Modeling in the CMU 1996 Hub 4 Evaluation

机译：CMU 1996集线器4评估中的语言和发音建模

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We describe several language and pronunciation modeling techniques that were applied to the 1996 Hub 4 Broadcast News transcription task. These include topic adaptation, the use of remote corpora, vocabulary size optimization, n-gram cutoff optimization, modeling of spontaneous speech, handling of unknown linguistic boundaries, higher order n-grams, weight optimization in rescoring, and lexical modeling of phrases and acronyms.

机译：我们描述了几种语言和语音建模技术，这些技术已应用于1996年Hub 4 Broadcast News转录任务。这些包括主题适应，远程语料库的使用，词汇量优化，n-gram截止优化，自发语音建模，未知语言边界的处理，高阶n-gram，记分中的权重优化以及短语和首字母缩写词的词汇建模。

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《》|1997年|141-146|共6页
会议地点 Chantilly VA(US)
作者
Kristie Seymore; Stanley Chen; Maxine Eskenazi; Ronald Rosenfeld;
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School of Computer Science Carnegie Mellon University Pittsburgh, Pennsylvania 15213;

School of Computer Science Carnegie Mellon University Pittsburgh, Pennsylvania 15213;

School of Computer Science Carnegie Mellon University Pittsburgh, Pennsylvania 15213;

School of Computer Science Carnegie Mellon University Pittsburgh, Pennsylvania 15213;

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原文格式 PDF
正文语种 eng
中图分类自然科学理论与方法论;自动模拟理论（自动仿真理论）;
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Language and Pronunciation Modeling in the CMU 1996 Hub 4 Evaluation

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