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CRIE: An automated analyzer for Chinese texts.

Yao-Ting Sung1, Tao-Hsing Chang2, Wei-Chun Lin1

  • 1Department of Educational Psychology and Counseling, National Taiwan Normal University, Taipei, Taiwan.

Behavior Research Methods
|October 2, 2015
PubMed
Summary

A new tool, the Chinese Readability Index Explorer (CRIE), offers automated analysis for Chinese texts. It provides linguistic features and machine learning for text leveling and diagnostics, filling a gap in current textual analysis tools.

Keywords:
CRIEChinese text analysisLinguistic featureReadability

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Area of Science:

  • Computational Linguistics
  • Natural Language Processing
  • Text Analysis

Background:

  • Textual analysis tools exist for alphabetic languages like English and Spanish.
  • A significant gap exists for automated analysis tools for Chinese-language texts.
  • Existing tools do not support discourse analysis, corpus studies, text leveling, or automated essay evaluation for Chinese.

Purpose of the Study:

  • To introduce the Chinese Readability Index Explorer (CRIE), a novel tool for automated analysis of simplified and traditional Chinese texts.
  • To present CRIE's capabilities in segmentation, syntactic parsing, and linguistic feature extraction.
  • To demonstrate CRIE's application in providing text leveling and diagnostic information using machine learning.

Main Methods:

  • Development of the Chinese Readability Index Explorer (CRIE) with four subsystems.
  • Incorporation of 82 multilevel linguistic features for comprehensive text analysis.
  • Integration of extracted linguistic features with machine learning models for advanced functionalities.

Main Results:

  • CRIE successfully performs automated segmentation, syntactic parsing, and feature extraction for Chinese texts.
  • The tool provides text leveling and diagnostic information for various text types, including language arts, foreign language learning, and domain-specific content.
  • Usage and validation of CRIE's functions are demonstrated, confirming its efficacy.

Conclusions:

  • CRIE addresses the unmet need for automated textual analysis tools for Chinese.
  • The tool's comprehensive linguistic features and machine learning integration enable robust text evaluation.
  • CRIE is a valuable resource for researchers and educators working with Chinese-language materials.