Recognition of English utterances with grammatical and lexical mistakes for dialogue-based CALL system
Recognition of English utterances with grammatical and lexical mistakes for dialogue-based CALL system
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DOI：
10.21437/interspeech.2008-479
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发表时间：
2008
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影响因子：
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通讯作者：
Akinori Ito;Ryohei Tsutsui;S. Makino;Motoyuki Suzuki
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文献类型：
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作者：
Akinori Ito;Ryohei Tsutsui;S. Makino;Motoyuki Suzuki
我们的目标是开发一个语音交互的计算机辅助语言学习（CALL）系统，使语言学习者能够交互式地练习单词、短语和语法。这样的系统必须能够正确识别学习者的话语。为了能够识别包含语法错误的话语，我们使用了一个从生成的文本中训练出来的n元语法语言模型。所提出的模型取得了与基于有限状态自动机和手动错误规则的语言模型相似的识别性能。然后我们引入了两种纠错技术来提高识别性能。一种方法使用目标句子和识别出的句子之间的莱文斯坦距离。另一种方法使用基于词性n元语法特征的纠错模型。实验结果表明，这两种方法都能够提高识别性能。
Our goal is to develop a voice-interactive CALL system which enables language learners to practice words, phrases, and grammars interactively. Such a system must be able to recognize learner’s utterances correctly. To enable the recognition of utterances containing grammatical mistakes, we used an n-gram language model trained from generated text. The proposed model achieved recognition performance similar to that of a language model based on a finite-state automaton and manual error rules. We then introduced two error correction techniques to improve recognition performance. One method used the Levenshtein distance between the target sentence and the recognized sentence. The other method used an error-corrective model based on POS n-gram features. The experimental results showed that both methods were able to improve recognition performance.