Rule Based Part-of-Speech Tagger for Marathi Language

Authors

  • Gaikwad Deepali K.  Department C.S. and I.T, Dr. Babasaheb Ambedkar Marathawada University, Aurangabad, Maharashtra, India
  • Naik Ramesh R.   Department C.S. and I.T, Dr. Babasaheb Ambedkar Marathawada University, Aurangabad, Maharashtra, India
  • C. Namrata Mahender  Department C.S. and I.T, Dr. Babasaheb Ambedkar Marathawada University, Aurangabad, Maharashtra, India

Keywords:

Part of Speech (POS), Tokenization, Stemmer, Morphological Analyzer, Tag Generation.

Abstract

A part of speech (POS) tagging is one of the best studied problems in the field of Natural Language Processing (NLP). POS tagging is the process of assigning a part-of-speech like noun, verb, adjective, adverb to each word in a sentence. In this paper we present a Marathi part of speech tagger. It is morphologically rich language. It is spoken by the native people of Maharashtra. POS tagging is difficult for Marathi language due to unavailability of corpus for computational processing. In this paper, a POS Tagger for Marathi language using Rule based technique is presented. Our proposed system which tokenizes the string into tokens, find root word using morphological analyzer and compare the root word with the WordNet to assign appropriate tag. If word has assigned more than one tags then by using Marathi grammar rules ambiguity is removed. Meaningful rules are provided to improve the performance of the system.

References

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International Journal of Scientific Research in Science and Technology

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Published

2018-04-30

Issue

Volume 4, Issue 5, March-April-2018

Section

Research Articles

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How to Cite

[1]
Gaikwad Deepali K., Naik Ramesh R. , C. Namrata Mahender, " Rule Based Part-of-Speech Tagger for Marathi Language, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 4, Issue 5, pp.1607-1612, March-April-2018.