Advanced Tamil POS Tagger for Language Learners
M. Rajasekar1, A. Udhayakumar2

1Dr. A. Udhayakumar, Professor and Controller of the Examinations at Hindustan Institute of Technology and Science, Chennai, India.
2M. Rajasekar, Research Scholar at Hindustan Insitute of Technology and Science, Chennai, India.

Manuscript received on 05 July 2019 | Revised Manuscript received on 09 July 2019 | Manuscript published on 30 August 2019 | PP: 741-745 | Volume-8 Issue-10, August 2019 | Retrieval Number: J8886088101920/19©BEIESP | DOI: 10.35940/ijitee.J8886.0881019
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: In the emerging technology Natural Language Processing, machine translation is one of the important roles. The machine translation is translation of text in one language to another with the implementation of Machines. The research topic POS Tagging is one of the most basic and important work in Machine translation. POS tagging simply, we say that to assign the Parts of speech identification for each word in the given sentence. In my research work, I tried the POS Tagging for Tamil language. There may be some numerous research were done in the same topic. I have viewed this in different and very detailed implementation. Most of the detailed grammatical identifications are made for this proposed research. It is very useful to know the basic grammar in Tamil language.
Keywords: Natural Language Processing, Machine Translation, Parts of Speech Tagging, POS Tagger for Tamil.
Scope of the Article: Natural Language Processing