Assessing Chinese Readability using Term Frequency and Lexical Chain

Yu-Ta Chen ； Yaw-Huei Chen ； Yu-Chih Cheng

《中文計算語言學期刊》 18卷2期 (2013/06) Pp. 1-17

並列摘要

This paper investigates the appropriateness of using lexical cohesion analysis to assess Chinese readability. In addition to term frequency features, we derive features from the result of lexical chaining to capture the lexical cohesive information, where E-HowNet lexical database is used to compute semantic similarity between nouns with high word frequency. Classification models for assessing readability of Chinese text are learned from the features using support vector machines. We select articles from textbooks of elementary schools to train and test the classification models. The experiments compare the prediction results of different sets of features.

並列關鍵字

Readability ； Chinese Text ； Lexical Chain ； TF-IDF ； SVM

參考文獻

Lin, S.-Y.,Su, C.-C.,Lai, Y.-D.,Yang, L.-C.,Hsieh, S.-K.(2009).Assessing text readability using hierarchical lexical relations retrieved from WordNet.Computational Linguistics and Chinese Language Processing.14(1),45-84.

Chang, C.-C., & Lin, C.-J. (n.d.). LIBSVM: A library for support vector machines. Software available at http://www.csie.ntu.edu.tw/~cjlin/libsvm

CKIP Group. (n.d.). A Chinese word segmentation system, http://ckipsvr.iis.sinica.edu.tw/

()。

(Dong, Z. (n.d.). HowNet knowledge database. http://www.keenage.com/).