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Compound words in large-vocabulary German speech recognition systems

机译:大词汇量德语语音识别系统中的复合词

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The paper analyzes the impact of German compound words on speech recognition. It is well known that due to an idiosyncrasy of German orthography, compound words make up a major fraction of German vocabulary, and most out-of-vocabulary (OOV) compounds are composed of frequent words already in the lexicon. The paper introduces a new method for handling the components of compounds rather than the compounds themselves. This not only reduces the vocabulary, and therefore the complexity, but also improves word accuracy, and reduced complexity means a more robust language model.
机译:本文分析了德语复合词对语音识别的影响。众所周知,由于德语拼写的特质,复合词构成了德语词汇的主要部分,并且大多数词汇外(OOV)的复合词都由词典中已经出现的常用词组成。本文介绍了一种处理化合物成分的新方法,而不是化合物本身。这不仅减少了词汇量,从而减少了复杂性,还提高了单词的准确性,而降低的复杂度意味着更健壮的语言模型。

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