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ERIC Number: ED529383
Record Type: Non-Journal
Publication Date: 2011
Pages: 11
Abstractor: As Provided
Reference Count: 20
ISSN: ISSN-1548-6613
A Machine Learning Approach to Measurement of Text Readability for EFL Learners Using Various Linguistic Features
Kotani, Katsunori; Yoshimi, Takehiko; Isahara, Hitoshi
Online Submission, US-China Education Review B 6 p767-777 2011
The present paper introduces and evaluates a readability measurement method designed for learners of EFL (English as a foreign language). The proposed readability measurement method (a regression model) estimates the text readability based on linguistic features, such as lexical, syntactic and discourse features. Text readability refers to the comprehension rate of a text (0.0-1.0). The experimental results showed that the proposed readability measurement method yielded higher accuracy than a baseline method, which provides the mode value of the distribution of the comprehension rate data as the estimated value for any input. (Contains 6 figures.)
Publication Type: Journal Articles; Reports - Evaluative
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A