Chinese near-synonym study based on the chinese gigaword corpus and the chinese learner corpus

Jia Fei Hong*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

The study of Chinese near-synonyms is crucial in Chinese lexical semantics, as well as in Chinese language teaching. Recently, Chinese nearsynonyms have become important in teaching Chinese as a foreign language; therefore, it is worthwhile to focus on effective strategies for teaching nearsynonyms to Chinese learners, especially in recognizing and using lexical senses for nearly synonymous Chinese words. This study will use the Chinese Gigaword Corpus [1] with the Chinese Word Sketch Engine [2] and the Chinese Learner Corpus (of Written Chinese) [3] to compare the usages of nearly synonymous Chinese words by Chinese learners. This study will focus on two sets of near-synonyms—“bian4li4” versus “fang1bian4” and “ren4shi4” versus “zhi1dao4”—as the research objects and discuss their differences in Chinese language teaching.

Original languageEnglish
Title of host publicationChinese Lexical Semantics - 15th Workshop, CLSW 2014, Revised Selected Papers
EditorsXinchun Su, Tingting He
PublisherSpringer Verlag
Pages329-340
Number of pages12
ISBN (Electronic)9783319143309
DOIs
Publication statusPublished - 2014
Event15th Workshop on Chinese Lexical Semantics, CLSW 2014 - Macao, China
Duration: 2014 Jun 92014 Jun 12

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8922
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference15th Workshop on Chinese Lexical Semantics, CLSW 2014
Country/TerritoryChina
CityMacao
Period2014/06/092014/06/12

Keywords

  • Chinese gigaword corpus
  • Chinese learner corpus (of written chinese)
  • Chinese near-synonyms
  • Chinese teaching
  • Lexical semantics

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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