Literature DB >> 26424442

CRIE: An automated analyzer for Chinese texts.

Yao-Ting Sung1, Tao-Hsing Chang2, Wei-Chun Lin1, Kuan-Sheng Hsieh1, Kuo-En Chang3.   

Abstract

Textual analysis has been applied to various fields, such as discourse analysis, corpus studies, text leveling, and automated essay evaluation. Several tools have been developed for analyzing texts written in alphabetic languages such as English and Spanish. However, currently there is no tool available for analyzing Chinese-language texts. This article introduces a tool for the automated analysis of simplified and traditional Chinese texts, called the Chinese Readability Index Explorer (CRIE). Composed of four subsystems and incorporating 82 multilevel linguistic features, CRIE is able to conduct the major tasks of segmentation, syntactic parsing, and feature extraction. Furthermore, the integration of linguistic features with machine learning models enables CRIE to provide leveling and diagnostic information for texts in language arts, texts for learning Chinese as a foreign language, and texts with domain knowledge. The usage and validation of the functions provided by CRIE are also introduced.

Keywords:  CRIE; Chinese text analysis; Linguistic feature; Readability

Mesh:

Year:  2016        PMID: 26424442     DOI: 10.3758/s13428-015-0649-1

Source DB:  PubMed          Journal:  Behav Res Methods        ISSN: 1554-351X


  5 in total

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3.  Applying the Bell's Test to Chinese Texts.

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4.  Developing Machine Learning and Statistical Tools to Evaluate the Accessibility of Public Health Advice on Infectious Diseases among Vulnerable People.

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Journal:  Comput Intell Neurosci       Date:  2021-12-17

5.  Exploring Knowledge and Experience of Health Literacy for Chinese-Speaking Nurses in Taiwan: A Cross-Sectional Study.

Authors:  Ya-Wen Chang; Tsai-Chung Li; Yen-Chin Chen; Jo-Hua Lee; Mei-Chuan Chang; Li-Chi Huang
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  5 in total

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