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英文文语转换系统中基于决策树的词性标注的非监督学习
引用本文:王永生,柴佩琪. 英文文语转换系统中基于决策树的词性标注的非监督学习[J]. 计算机应用, 2006, 26(3): 651-0654
作者姓名:王永生  柴佩琪
作者单位:同济大学,留德预备部,上海,200092;同济大学,计算机科学与工程系,上海,200092
摘    要:英文文语转换系统中的韵律生成模块和多音词消歧模块均必须用到单词的词性信息,因而词性标注是英文TTS系统中一个非常重要的部分。讨论了在只有一个词库的有限条件下,如何通过决策树中的C4.5算法进行词性标注的非监督学习,同时讨论了未登录词的词性猜测问题。

关 键 词:文语转换  词性标注  决策树  自然语言处理
文章编号:1001-9081(2006)03-0651-04
收稿时间:2005-10-08
修稿时间:2005-10-08

Unsupervised learning of part-of-speech tagging using decision trees in English TTS
WANG Yong-sheng,CHAI Pei-qi. Unsupervised learning of part-of-speech tagging using decision trees in English TTS[J]. Journal of Computer Applications, 2006, 26(3): 651-0654
Authors:WANG Yong-sheng  CHAI Pei-qi
Affiliation:1. German College, Tongji University, Shanghai 200092, China; 2. Department of Computer Science and Engineering, Tongji University, Shanghai 200092, China
Abstract:Part-of-Speech is essential for prosody generation module and homograph disambiguation module in English TTS(text to speech) system. An unsupervised learning of part-of-speech tagging using decision trees was described, under the condition of a lexicon. In addition, the problem of unknown word guessing was also discussed.
Keywords:text-to-speech   part-of-speech tagging   decision tree   natural language processing
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