可讀性預測於中小學國語文教科書及優良課外讀物之研究

Yi Nian Liu, Kuan Yu Chen, Ho Chiang Tseng, Berlin Chen

研究成果: 書貢獻/報告類型會議貢獻

3 引文 斯高帕斯(Scopus)

摘要

Readability is basically concerned with readers' comprehension of given textual materials: the higher the readability of a document, the easier the document can be understood. It may be affected by various factors, such as document length, word difficulty, sentence structure and whether the content of a document meets the prior knowledge of a reader or not. However, simple surface linguistic features cannot always account for these factors in an appropriate manner. To cater for this, we explore in this study a variety of extra features, including syntactic analysis, parts of speech, word embedding, semantic role features and well-written features. The experimental datasets are composed of two parts: one is textbooks of the Chinese language for elementary and junior high schools (K1 to K9) in Taiwan, compiled from three publishers in the academic year of 2009; the other is excellent extracurricular reading materials for students of elementary and junior high schools, collected by the Ministry of Culture in Taiwan. Two readability prediction models, viz. stepwise regression and support vector machine, are evaluated and compared, while the combination of these two models is also investigated so as to further enhance the accuracy of readability prediction. Experimental results reveal that our proposed approach can yield consistently better performance than traditional ones merely with simple surface linguistic features in evaluating text difficulty.

貢獻的翻譯標題A study of readability prediction on elementary and secondary Chinese textbooks and excellent extracurricular reading materials
原文???core.languages.zh_TW???
主出版物標題Proceedings of the 27th Conference on Computational Linguistics and Speech Processing, ROCLING 2015
編輯Sin-Horng Chen, Hsin-Min Wang, Jen-Tzung Chien, Hung-Yu Kao, Wen-Whei Chang, Yih-Ru Wang, Shih-Hung Wu
發行者The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)
頁面71-86
頁數16
ISBN(電子)9789573079286
出版狀態已發佈 - 2015 十月 1
事件27th Conference on Computational Linguistics and Speech Processing, ROCLING 2015 - Hsinchu, 臺灣
持續時間: 2015 十月 12015 十月 2

出版系列

名字Proceedings of the 27th Conference on Computational Linguistics and Speech Processing, ROCLING 2015

會議

會議27th Conference on Computational Linguistics and Speech Processing, ROCLING 2015
國家臺灣
城市Hsinchu
期間15/10/115/10/2

Keywords

  • Readability
  • Stepwise Regression
  • Support Vector Machine
  • Textual Features

ASJC Scopus subject areas

  • Speech and Hearing
  • Language and Linguistics

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