A study on lexical ambiguity in mandarin Chinese

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Abstract

This study explored lexical ambiguity in Mandarin Chinese. Previous studies have concentrated on the lexical ambiguity resolution of nouns and verbs in the sentential context, while others presented different results for ambiguity resolution in English and Italian. Based on [1] study, which focused on the cognitive processing of strong bias words in the sentential context, the current study proposed two modular and interactive hypotheses and designed two experiments—a production test and a YES-NO test—to distinguish lexical and metaphorical bias found in Mandarin Chinese. This article would present the results of the two experiments, followed by a discussion of the related senses of lexical ambiguity in Mandarin Chinese.

Original languageEnglish
Title of host publicationChinese Lexical Semantics - 19th Workshop, CLSW 2018, Revised Selected Papers
EditorsQi Su, Jiun-Shiung Wu, Jia-Fei Hong
PublisherSpringer Verlag
Pages467-477
Number of pages11
ISBN (Print)9783030040147
DOIs
Publication statusPublished - 2018 Jan 1
Event19th Chinese Lexical Semantics Workshop, CLSW 2018 - Minxiong, Taiwan
Duration: 2018 May 262018 May 28

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

Conference

Conference19th Chinese Lexical Semantics Workshop, CLSW 2018
CountryTaiwan
CityMinxiong
Period18/5/2618/5/28

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Keywords

  • Lexical ambiguity
  • Literal senses
  • Mandarin Chinese
  • Metaphorical senses

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Hong, J. F. (2018). A study on lexical ambiguity in mandarin Chinese. In Q. Su, J-S. Wu, & J-F. Hong (Eds.), Chinese Lexical Semantics - 19th Workshop, CLSW 2018, Revised Selected Papers (pp. 467-477). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11173 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-030-04015-4_39