Abstract
Readability classification is an important application of Natural Language Processing. It aims at judging the quality of documents and to assist writers to identify possible problems. This paper presents a readability classifier for Bangla textbooks using information-theoretic and lexical features. All together 18 features are explored to achieve an F-score of 86.46%. The paper is an extension of our previous work [1]. © 2014 Springer-Verlag Berlin Heidelberg.
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Islam, Z., Rahman, M. R., & Mehler, A. (2014). Readability classification of bangla texts. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8404 LNCS, pp. 507–518). Springer Verlag. https://doi.org/10.1007/978-3-642-54903-8_42
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