政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/55172

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政大機構典藏 > 資訊學院 > 資訊科學系 > 期刊論文 > Item 140.119/55172

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/55172

Title:	Using Linguistic Features to Predict Readability of Short Essays for Senior High School Students in Taiwan
Authors:	Kuo, Wei-Ti;Huang, Chao-Shainn;Liu, Chao-Lin
Contributors:	政大資訊科學系
Keywords:	Computer-assisted Language Learning;Readability Analysis;Document Classification;Short Essays for Reading Comprehension
Date:	2010-09
Issue Date:	2012-11-02 15:59:15 (UTC+8)
Abstract:	We investigated the problem of classifying short essays used in comprehension tests for senior high school students in Taiwan. The tests were for first and second year students, so the answers included only four categories, each for one semester of the first two years. A random-guess approach would achieve only 25% in accuracy for our problem. We analyzed three publicly available scores for readability, but did not find them directly applicable. By considering a wide array of features at the levels of word, sentence, and essay, we gradually improved the F measure achieved by our classifiers from 0.381 to 0.536.
Relation:	International Journal of Computational Linguistics and Chinese Language Processing, 15(3-4), 192-218
Data Type:	article
Appears in Collections:	[資訊科學系] 期刊論文

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