What Factors Can Facilitate Efficient Propagation of Chinese Neologisms–A Corpus-Driven Study with Internet Usage Data

Research output: Chapter in book / Conference proceedingChapter in an edited book (as author)Academic researchpeer-review

Abstract

With the development of information technologies, our world currently faces such an overwhelming mass of neologisms. Therefore, the study of neologisms has become an important research topic in recent years [1]. In this research, we investigate the factors that facilitate the efficient propagation of Chinese neologisms, based on Internet usage data extracted from Google Trends. We collected 342 neologisms from the published authoritative lists and annotated them with eight factors that potentially contribute to their popularity. The empirical findings shed light on the predictive potential of specific factors, such as the topic, syntactic type, length, and semantic polarity of the neologisms. Our investigation further assigns weight to each factor, revealing that syntactic type and semantic polarity of the neologisms exert more pronounced effects on their developments.

Original languageEnglish
Title of host publicationChinese Lexical Semantics - 24th Workshop, CLSW 2023, Revised Selected Papers
EditorsMinghui Dong, Jia-Fei Hong, Jingxia Lin, Peng Jin
PublisherSpringer Science and Business Media Deutschland GmbH
Pages209-215
Number of pages7
ISBN (Print)9789819705856
DOIs
Publication statusPublished - 28 Feb 2024
Event24th Workshop on Chinese Lexical Semantics, CLSW 2023 - Singapore, Singapore
Duration: 19 May 202321 May 2023

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14515 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference24th Workshop on Chinese Lexical Semantics, CLSW 2023
Country/TerritorySingapore
CitySingapore
Period19/05/2321/05/23

Keywords

  • Chinese Neologisms
  • Corpus-Driven Approach
  • Internet Usage Data

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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