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CLAD: A corpus-derived Chinese Lexical Association Database.

Shu-Yen Lin1, Hsueh-Chih Chen2, Tao-Hsing Chang3

  • 1Chinese Language and Technology Center, National Taiwan Normal University, Taipei, Taiwan.

Behavior Research Methods
|August 21, 2019
PubMed
Summary
This summary is machine-generated.

Researchers created a large Chinese Lexical Association Database (CLAD) using 400 million words. This database offers more comprehensive word associations than traditional methods, enhancing linguistic research.

Keywords:
Association measuresChinese text corporaCorpus-basedCorpus-derivedLexical associationWord associationWord co-occurrence

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Area of Science:

  • Computational linguistics
  • Psycholinguistics
  • Lexicography

Background:

  • Traditional word association tests have limitations in scope, typically covering fewer than 10,000 words.
  • This limited scope restricts the representativeness of association norms for the broader language.
  • Existing norms often involve small participant numbers, leading to coarse association strength measurements.

Purpose of the Study:

  • To construct a comprehensive Chinese Lexical Association Database (CLAD).
  • To overcome the limitations of traditional word association norms in terms of scale and differentiation.
  • To provide a valuable resource for researchers in linguistics and related fields.

Main Methods:

  • Utilized extensive Chinese text corpora, exceeding 400 million words.
  • Employed various computational association measures to automatically extract lexical associations.
  • Developed a database encompassing over 80,000 Chinese words and their associations.

Main Results:

  • The constructed Chinese Lexical Association Database (CLAD) contains significantly more associative word pairs than traditional norms.
  • Extracted word associations demonstrate comparable strength to those from free association tests.
  • CLAD offers enhanced differentiation of association strengths compared to traditional, smaller-scale norms.
  • The database includes lexical associations for over 80,000 words.

Conclusions:

  • The Chinese Lexical Association Database (CLAD) significantly expands the scope and detail of available word association norms.
  • CLAD serves as a crucial supplement to traditional methods, offering greater representativeness and finer-grained association measurements.
  • The database enhances research capabilities in understanding Chinese lexical semantics and cognitive processes.
  • Accessible online, CLAD provides a valuable resource for the linguistic research community.