文献类型：期刊文献

英文题名：Improving Chinese Term Association from the Linguistic Perspective

作者：Li, Nan[1];Sun, Jiqing[1]

机构：[1]East China Univ Sci & Technol, Room 308 Lib,130 Meilong Rd, Shanghai 200237, Peoples R China

年份：2017

卷号：44

期号：1

起止页码：13

外文期刊名：KNOWLEDGE ORGANIZATION

收录：;WOS:【SSCI(收录号:WOS:000393978600002)】；

语种：英文

外文关键词：semantic structure analysis; Chinese term association; morphemes; similarity; relatedness

摘要：The study aims to solve how to construct the semantic relations of specific domain terms by applying linguistic rules. The semantic structure analysis at the morpheme level was used for semantic measure, and a morpheme-based term association model was proposed by improving and combining the literal-based similarity algorithm and co-occurrence relatedness methods. This study provides a novel insight into the method of semantic analysis and calculation by morpheme parsing, and the proposed solution is feasible for the automatic association of compound terms. The results show that this approach could be used to construct appropriate term association and form a reasonable structural knowledge graph. However, due to linguistic differences, the viability and effectiveness of the use of our method in non-Chinese linguistic environments should be verified.