Abstract: The Gujarati language is primarily spoken by Gujarati people living in the state of Gujarat, India. It is the medium of communication in the state of Gujarat. In the Gujarati language, ‘rudhiprayog’ i.e. idiom is a very much popular form of expression. It represents the real flavour of the Gujarati language. The idiom is a group of words saying one thing literally but means something else when we explored it in context. Like Gujarati verbs, idioms can be written in many forms. Due to different morphological forms of the same Gujarati idiom, Gujarati idiom identification is a challenging task for any machine translation system (MTS). Accordingly many forms also make idiom translation more complicated. In the current paper, Gujarati idioms in their different inflected forms are collected, analyzed and classified based on ending words. After classifying idioms, their base or root forms are identified. Base idiom form and their possible idioms forms are morphologically analyzed and rules are generated based on the relationship between base form and possible inflected forms of idioms. These rules are used to generate possible idiom forms from the base idiom form. Gujarati idiom in any valid inflected form can be dynamically detected from the Gujarati input text using the proposed novel morphological analysis based approach. The results are encouraging enough to implement the proposed model of rules for natural language processing tasks as well as a machine translation system for Gujarati language idioms.

Jatin C. Modh, Jatinderkumar R. Saini and Ketan Kotecha, “A Novel Morphological Analysis based Approach for Dynamic Detection of Inflected Gujarati Idioms” International Journal of Advanced Computer Science and Applications(IJACSA), 13(4), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0130422

@article{Modh2022,
title = {A Novel Morphological Analysis based Approach for Dynamic Detection of Inflected Gujarati Idioms},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.0130422},
url = {http://dx.doi.org/10.14569/IJACSA.2022.0130422},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {4},
author = {Jatin C. Modh and Jatinderkumar R. Saini and Ketan Kotecha}
}