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A Joint Approach for Building a Large Tibetan Corpus with Syntactic Parsing and Semantic Role Labeling

机译:用句法解析和语义角色标记构建大型藏语语料库的联合方法

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Syntactic parsing and semantic role labeling have been studied in natural language processing for many years and many good research results have been obtained. According to the characteristics of Tibetan, a joint approach for syntactic parsing and semantic role labeling is proposed in this paper. This approach, based on the theory of syntax and semantic features on Tibetan verbs, and with the predicate chunk patterns, is used to label corpus for the study of Tibetan language processing.
机译:在自然语言处理中研究了语法解析和语义角色标记多年来,已经获得了许多良好的研究结果。根据藏族的特点,本文提出了一种句法解析和语义角色标记的联合方法。基于Tibetan动词的语法和语义特征的这种方法,以及谓词块模式,用于标记藏语语言处理研究的语料库。

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