Research of Paraphrasing for Chinese Complex Sentences Based on Templates

Zhongjian Wang, Ling Wang
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引用次数: 0

Abstract

Based on the paraphrasing of Chinese simple sentences, the complex sentence paraphrasing by using templates are studied. Through the classification of complex sentences, syntactic analysis and structural analysis, the proposed methods construct complex sentence paraphrasing templates that the associated words are as the core. The part of speech tagging is used in the calculation of the similarity between the paraphrasing sentences and the paraphrasing template. The joint complex sentence can be divided into parallel relationship, sequence relationship, selection relationship, progressive relationship, and interpretive relationship’s complex sentences. The subordinate complex sentence can be divided into transition relationship, conditional relationship, hypothesis relationship, causal relationship and objective relationship’s complex sentences. Joint complex sentence and subordinate complex sentence are divided to associated words. By using pretreated sentences, the preliminary experiment is carried out to decide the threshold between the paraphrasing sentence and the template. A small scale paraphrase experiment shows the method is availability, acquire the coverage rate of paraphrasing template 40.20% and the paraphrase correct rate 62.61%.
基于模板的汉语复句释义研究
以汉语简单句的意译为基础,研究了用模板进行复句意译的方法。通过对复句的分类、句法分析和结构分析,构建了以关联词为核心的复句释义模板。词性标注用于计算释义句与释义模板之间的相似度。联合复句可分为平行关系复句、顺序关系复句、选择关系复句、递进关系复句和解释关系复句。从属复句可分为过渡关系、条件关系、假设关系、因果关系和客观关系的复句。联合复句和从属复句分为关联词。通过预处理句子进行初步实验,确定释义句与模板之间的阈值。小规模释义实验表明,该方法是有效的,获得了释义模板覆盖率40.20%和释义正确率62.61%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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