Abstract: Gujarati language is used for conversation by more than 55 million people worldwide and it is more than 1000 years old language. It is the chief language of the Indian state of Gujarat. There are many dialects of Gujarati like Standard Gujarati, Amdawadi Gujarati, Kathiawadi Gujarati, Kutchi Gujarati etc. The Gujarati language is very rich in morphology like other Indo-Aryan languages like Hindi. Many readability tests are available in the English language, but no readability complexity test is available for the Gujarati idiomatic text. The Complexity score is the sub concept of the readability test. In order to define complexity level of Gujarati text, complexity score of Gujarati text is calculated. We deployed a novel readability complexity score calculation method in which we considered the number of letters of each word, the number of diacritics of each word, Gujarati idiomatic text of n-gram where n=1 to 9, Gujarati idiomatic text of m-meaning idioms where m=1 to 7. The complexity score is calculated as the sum of word complexity score, diacritics complexity score, n-gram complexity score of Gujarati idioms and m-meaning complexity score of Gujarati idioms. We emphasized Gujarati idiomatic text for the calculation of complexity score as idioms make the text more complex to understand. This is an innovative and first of its kind work in the research community of Gujarati language. The results are hopeful enough to employ the suggested complexity score method for developing a readability test method for natural language processing tasks for the Gujarati language.

Jatin C. Modh, Jatinderkumar R. Saini and Ketan Kotecha, “A Novel Readability Complexity Score for Gujarati Idiomatic Text” International Journal of Advanced Computer Science and Applications(IJACSA), 13(5), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0130553

@article{Modh2022,
title = {A Novel Readability Complexity Score for Gujarati Idiomatic Text},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.0130553},
url = {http://dx.doi.org/10.14569/IJACSA.2022.0130553},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {5},
author = {Jatin C. Modh and Jatinderkumar R. Saini and Ketan Kotecha}
}