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題名 Using Linguistic Features to Predict Readability of Short Essays for Senior High School Students in Taiwan
作者 Kuo, Wei-Ti ; Huang, Chao-Shainn ;Liu, Chao-Lin
貢獻者 政大資訊科學系
關鍵詞 Computer-assisted Language Learning;Readability Analysis;Document Classification;Short Essays for Reading Comprehension
日期 2010-09
上傳時間 2-Nov-2012 15:59:15 (UTC+8)
摘要 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.
關聯 International Journal of Computational Linguistics and Chinese Language Processing, 15(3-4), 192-218
資料類型 article
dc.contributor 政大資訊科學系en
dc.creator (作者) Kuo, Wei-Ti ; Huang, Chao-Shainn ;Liu, Chao-Linen
dc.date (日期) 2010-09-
dc.date.accessioned 2-Nov-2012 15:59:15 (UTC+8)-
dc.date.available 2-Nov-2012 15:59:15 (UTC+8)-
dc.date.issued (上傳時間) 2-Nov-2012 15:59:15 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/55172-
dc.description.abstract (摘要) 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.en
dc.format.extent 716504 bytes-
dc.format.mimetype application/pdf-
dc.language zh_TWen
dc.language.iso en_US-
dc.relation (關聯) International Journal of Computational Linguistics and Chinese Language Processing, 15(3-4), 192-218en
dc.subject (關鍵詞) Computer-assisted Language Learning;Readability Analysis;Document Classification;Short Essays for Reading Comprehensionen
dc.title (題名) Using Linguistic Features to Predict Readability of Short Essays for Senior High School Students in Taiwanen
dc.type (資料類型) articleen