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An Oracle Grammar-Rule Learning Based on Syntactic Knowledge

机译:基于句法知识的Oracle语法规则学习

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In this paper, we put forward two algorithms for Chinese oracle-bone grammar rules learning: automatically learning rule sets and the error-emended learning from the corpus. Through analysing the syntactic knowledge of oracle-bone inscription, an error-emended learning method is used to construct rule-base of oracle-bone phrase structure, which combines linguist's introspection and summarize with corpora to capture rules and describe them with formalized symbols. By using part-of-speech and contextual information together, our experimental results show the learning and expression are effective for oracle-bone grammar rule-base.
机译:在本文中,我们提出了两种用于中文甲骨文语法规则学习的算法:自动学习规则集和从语料库中引入错误提示。通过对甲骨文题法的语法知识进行分析,采用错误修正的学习方法构建甲骨文短语结构的规则库,结合语言学家的自省和语料库的总结来捕获规则,并用形式化符号进行描述。通过将词性和上下文信息一起使用,我们的实验结果表明,学习和表达对于甲骨文语法规则库是有效的。

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