Exploring Linguistic Features for Turkish Text Readability

2023/06/06 by Ahmet Yavuz Uluslu, Uluslu, Ahmet Yavuz, Gerold A. Schneider +1
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Text Readability and Simplification

paper · pdf · doi:10.48550/arxiv.2306.03774

openalex publication_date 2023/06/06 · openalex created_date 2023/06/09 · openalex updated_date 2026/07/28

Abstract

This paper presents the first comprehensive study on automatic readability assessment of Turkish texts. We combine state-of-the-art neural network models with linguistic features at lexical, morphological, syntactic and discourse levels to develop an advanced readability tool. We evaluate the effectiveness of traditional readability formulas compared to modern automated methods and identify key linguistic features that determine the readability of Turkish texts.

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