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Title: Automatic extraction and mapping directionality of synaesthetic sentences of modern Chinese
Other Title: 现代汉语通感的自动抽取及映射方向性
Authors: Liu, H
Lievers, FS
Huang, CR 
Issue Date: 2015
Source: 计算机工程与科学 (Computer engineering & science), 2015, v. 37, no. 12, p.2294-2299
Abstract: 主要介绍现代汉语中通感(Synaesthesia)句子的自动抽取和感觉域之间的映射规律。通过构建各个感觉领域的词表和词性匹配的方式抽取语料库中的通感句子,采取了两种方法,一种是单纯的多领域感觉词匹配,准确率为2078%;第二种方法加入了词性匹配,准确率为4637%。主要难点在于五种感觉领域词表中词的选取和收集以及词性分布规则的总结上。最后统计了抽取句子通感源域到目标域的映射情况,检查了其映射方向是否与其他语言相同。
This paper focuses on the extraction and mapping tendencies of synaesthetic sentences in modern Chinese. The extraction applies two kinds of methodologies both based on the perception related word lists. We have constructed five sense word lists of touch, taste, smell, hearing and vision respectively. By checking each list and extracting the sentences with two or more kinds of perception related words, the accuracy of this methodology is 20.78%; by introducing POS distributing tendencies checking, the accuracy rises to 46.37%. The difficulty lies in collecting and further selecting the perception related word and also in observing the POS distributing rules of each perception related word. Finally, we check the mapping directionality of one domain of sense to another one.
Keywords: Modern Chinese
Perception related word
Automatic extraction
Journal: 计算机工程与科学 (Computer engineering & science) 
ISSN: 1007-130X
Rights: © 2015 中国学术期刊电子杂志出版社。本内容的使用仅限于教育、科研之目的。
© 2015 China Academic Journal Electronic Publishing House. It is to be used strictly for educational and research purposes.
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