本文提出了一种汉语句法规则学习的新方法。本方法的特点是:在规则的学习和表示上都利用了词性、语义以及上下文相关的信息。它不仅能自动学习上下文无关的二元规则,而且还能自动发现词类搭配中的歧义结构,并利用语义和上下文相关信息将歧义规则在句法分析之前进行排除。实验结果表明,该方法较好地解决了汉语句法规则的自动获取及排歧问题并极大地降低了句法分析的难度,显示了很好的应用前景。
Abstract
In this paper ,we put forward a new method about Chinese Grammar ruleslearning. The key point of this method is using part-of-speech ,semantic and contextual information together in the learning and expression of Chinese grammar rules. In this way not only some context free rules can be learnt ,but also the ambiguous structures in part-of-speech can be found automatically. And the ambiguous problem can be solved before the parsing. Experimental results demonstrate that Chinese grammar rules could be acquired automatically and the complexity of Chinese parsing could be reduced also in our system. All of that show there is a good application prospect for this method.
关键词
句法分析 /
二元语义规则 /
二元词性规则 /
禁止规则
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Key words
parsing /
bi-gram semantic rules /
bi-gram part-of-speech rules /
forbidden rules
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参考文献
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[8] Zhou Qiang. A Statistics-based Chinese Parser. In :Proc. Of the Fifth Workshop on Very Large Corpora , 1997 ,4 - 15
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脚注
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基金
自然科学基金(69975008);973基础研究基金(G1998030507)
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