A SkE-assisted comparison of three “prestige” near synonyms in Chinese

Longxing Li, Chu Ren Huang, Xuefeng Gao

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

5 Citations (Scopus)


The discrimination of near synonyms is one of the most important research areas in lexicology and lexical semantics. Traditional comparative studies of near synonyms are mostly introspection-based and corpus-based, both having disadvantages. Sketch Engine (SkE), a tool designed to automatically obtain grammatical and collocational relations of target words from huge amount of data, helps to avoid subjectivity and solves the problem of utilizing the massive amount of data efficiently. By making use of various functions of Chinese Word Sketch (CWS), this paper distinguishes three Chinese synonymous words mingwang, shengwang and weiwang and finds that shengwang and weiwang are closer in meaning and more similar in grammatical features. Our comprehensive detailed examination of similarities and differences between the three words through CWS will shed light on Chinese lexicography, near synonym discrimination as well as Chinese vocabulary teaching and learning.

Original languageEnglish
Title of host publicationChinese Lexical Semantics - 19th Workshop, CLSW 2018, Revised Selected Papers
EditorsQi Su, Jiun-Shiung Wu, Jia-Fei Hong
Number of pages11
ISBN (Print)9783030040147
Publication statusPublished - 1 Jan 2018
Event19th Chinese Lexical Semantics Workshop, CLSW 2018 - Minxiong, Taiwan
Duration: 26 May 201828 May 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11173 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference19th Chinese Lexical Semantics Workshop, CLSW 2018


  • Chinese Word Sketch
  • Mingwang
  • Near synonym discrimination
  • Shengwang
  • Weiwang

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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