词义排歧在机器翻译、信息检索、句子分析和语音识别等许多领域有重要的作用。
Word sense disambiguation (WSD) plays an important role in many areas of natural language processing such as machine translation, information retrieval, sentence analysis, speech recognition.
将该模型用于汉语句子分析的软件实验中表明：模型具有较高的计算效率和鲁棒性。
Software experiments about the Chinese sentence parsing show the model presented in this paper has higher efficiency and robustness.
试图把基于解释的学习技术应用于汉语处理，以解决汉语句子分析中的效用性问题。
This paper try to apply EBL technique to Chinese processing to solve the utility prob-lenin Chinese sentence analysis.
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