2018/10/07 by Hamid Mohammadi, Mohammadi, Hamid, Seyed Hossein Khasteh +1
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Text Readability and Simplification
paper · pdf · doi:10.48550/arxiv.1810.06639
openalex publication_date 2018/10/07 · openalex created_date 2022/08/02 · openalex updated_date 2026/07/28
An automated approach to text readability assessment is essential to a\nlanguage and can be a powerful tool for improving the understandability of\ntexts written and published in that language. However, the Persian language,\nwhich is spoken by over 110 million speakers, lacks such a system. Unlike other\nlanguages such as English, French, and Chinese, very limited research studies\nhave been carried out to build an accurate and reliable text readability\nassessment system for the Persian language. In the present research, the first\nPersian dataset for text readability assessment was gathered and the first\nmodel for Persian text readability assessment using machine learning was\nintroduced. The experiments showed that this model was accurate and could\nassess the readability of Persian texts with a high degree of confidence. The\nresults of this study can be used in a number of applications such as medical\nand educational text readability evaluation and have the potential to be the\ncornerstone of future studies in Persian text readability assessment.\n