arXiv · 2306.03774
Exploring Linguistic Features for Turkish Text Readability
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.
Explore related subjects
Keep this discovery
Ahmet Yavuz Uluslu, Gerold Schneider. 2023-06-06. Exploring Linguistic Features for Turkish Text Readability. https://arxiv.org/abs/2306.03774
Cite the original work for its findings. Save a collection to share your selection of sources.