A Machine Learning–Based Readability Model for Gujarati Texts
Chandrakant K. Bhogayata
Abstract:This study aims to develop a machine learning-based model to predict the readability of Gujarati texts. The dataset was fifty prose passages from Gujarati literature. Fourteen lexical and syntactic readability text features were extracted from the dataset using a machine learning algorithm of the unigram POS tagger and three Python programming scripts. Two samples of native Gujarati speaking secondary and higher education students rated the Gujarati texts for readability judgment on a 10-point scale of 'easy' … Show more
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