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带拼音纠错的汉语音字转换技术
引用本文:张瑞强,王作英,张建平.带拼音纠错的汉语音字转换技术[J].清华大学学报(自然科学版),1997(10).
作者姓名:张瑞强  王作英  张建平
作者单位:清华大学电子工程系
基金项目:国家“八六三”高技术项目
摘    要:提出了一种基于统计和规则的混合方法来实现汉语音字转换。利用汉语的语法规则,在统计语言模型中采用了两种基于词和词性的混合语言模型。在实验中,将这两种混合语言模型与基于词的语言模型进行了比较。实验证明,在语言模型中引入词性后,提高了音字转换正确率。考虑了出现拼音错误时的音字转换问题,提出了一种拼音纠错方法来纠正错误。实验证明,当拼音正确率高于85%时,这种带纠错的音字转换方法可以提高音字转换正确率。

关 键 词:连续语音识别  统计语言模型  自然语言理解

Chinese pinyin to text translation technique with error correction used for continuous speech recognition
Zhang Ruiqiang,Wang Zuoying,Zhang Jianping.Chinese pinyin to text translation technique with error correction used for continuous speech recognition[J].Journal of Tsinghua University(Science and Technology),1997(10).
Authors:Zhang Ruiqiang  Wang Zuoying  Zhang Jianping
Institution:Zhang Ruiqiang,Wang Zuoying,Zhang Jianping Department of Electronic Engineering,Tsinghua University,Beijing 100084
Abstract:This paper makes use of a hybrid statistical and rule approach to realize Chinese pinyin to text translation. With the help of Chinese grammar this paper raises two hybrid statistical language models based on word and parts of speech, and the experiments prove that by this model the accurate rate is improved. This paper puts forward an approach to correct some pinyin errors in the case of pinyin errors. When the accurate rate of pinyin is more than 85%, this approach gives a very satisfactory result in the experiments.
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