arXiv Open Access 2023

Exploring Linguistic Features for Turkish Text Readability

Ahmet Yavuz Uluslu Gerold Schneider

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Abstrak

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.

Topik & Kata Kunci

cs.CL

Penulis (2)

Ahmet Yavuz Uluslu

Gerold Schneider

Format Sitasi

APA MLA BibTeX

Uluslu, A.Y., Schneider, G. (2023). Exploring Linguistic Features for Turkish Text Readability. https://arxiv.org/abs/2306.03774

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Informasi Jurnal

Tahun Terbit: 2023
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓