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Deep learning based morphological analysis of Tamil nouns and verbs

Publication Type : Conference Paper

Publisher : Research Conference on Data and Decision Science (RCDDS' 18)

Source : In Research Conference on Data and Decision Science (RCDDS' 18), 2018.

Campus : Coimbatore

School : School of Engineering

Center : Computational Engineering and Networking

Department : Electronics and Communication

Year : 2018

Abstract : Tamil is a morphologically rich language. Being agglutinative language most of the categories expressed are suffixes. Tamil is a post positional inflectional language. The Morphological Generator takes lemma and a Morpho-lexical description as input and gives a word-form as output. It is a reverse process of Morphological Analyzer. Morphological generator system implemented here is a new data driven approach which is simple, efficient and it does not require any rules and morpheme dictionary. We have developed an individual system to handle nouns and verbs. Any automated machine translation system requires morphological analyzer of source language and morphological generator of the target language. Using this morphological generator we have also developed a verb conjugator and noun declension. Here.

Cite this Research Publication : B. Premjith, Dr. Soman K. P., and Anand Kumar M., “Deep learning based morphological analysis of Tamil nouns and verbs”, in In Research Conference on Data and Decision Science (RCDDS' 18), 2018.

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