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

Translated title of the contribution: A study of readability prediction on elementary and secondary Chinese textbooks and excellent extracurricular reading materials

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

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.

Translated title of the contributionA study of readability prediction on elementary and secondary Chinese textbooks and excellent extracurricular reading materials
Original languageChinese (Traditional)
Title of host publicationProceedings of the 27th Conference on Computational Linguistics and Speech Processing, ROCLING 2015
EditorsSin-Horng Chen, Hsin-Min Wang, Jen-Tzung Chien, Hung-Yu Kao, Wen-Whei Chang, Yih-Ru Wang, Shih-Hung Wu
PublisherThe Association for Computational Linguistics and Chinese Language Processing (ACLCLP)
Pages71-86
Number of pages16
ISBN (Electronic)9789573079286
Publication statusPublished - 2015 Oct 1
Event27th Conference on Computational Linguistics and Speech Processing, ROCLING 2015 - Hsinchu, Taiwan
Duration: 2015 Oct 12015 Oct 2

Publication series

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

Conference

Conference27th Conference on Computational Linguistics and Speech Processing, ROCLING 2015
CountryTaiwan
CityHsinchu
Period15/10/115/10/2

ASJC Scopus subject areas

  • Speech and Hearing
  • Language and Linguistics

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