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Rule based Stemmer for Marathi Language

N. Pise1 , V. Gupta2

  1. Computer Science Department, IES, IPS Academy, Indore, Madhya Pradesh, India.
  2. Computer Science Department, Banasthali University, Rajasthan, India.

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-5 , Page no. 500-505, May-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i5.500505

Online published on May 31, 2018

Copyright © N. Pise, V. Gupta . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: N. Pise, V. Gupta, “Rule based Stemmer for Marathi Language,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.5, pp.500-505, 2018.

MLA Style Citation: N. Pise, V. Gupta "Rule based Stemmer for Marathi Language." International Journal of Computer Sciences and Engineering 6.5 (2018): 500-505.

APA Style Citation: N. Pise, V. Gupta, (2018). Rule based Stemmer for Marathi Language. International Journal of Computer Sciences and Engineering, 6(5), 500-505.

BibTex Style Citation:
@article{Pise_2018,
author = {N. Pise, V. Gupta},
title = {Rule based Stemmer for Marathi Language},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2018},
volume = {6},
Issue = {5},
month = {5},
year = {2018},
issn = {2347-2693},
pages = {500-505},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2011},
doi = {https://doi.org/10.26438/ijcse/v6i5.500505}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i5.500505}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2011
TI - Rule based Stemmer for Marathi Language
T2 - International Journal of Computer Sciences and Engineering
AU - N. Pise, V. Gupta
PY - 2018
DA - 2018/05/31
PB - IJCSE, Indore, INDIA
SP - 500-505
IS - 5
VL - 6
SN - 2347-2693
ER -

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Abstract

— Natural Language Processing (NLP) is a branch of artificial intelligence which deals with the analysis and synthesis of natural languages in the form of text and speech. NLP requires stemming algorithms to remove derivational and inflectional affixes without performing morphological analysis of the inputs. These algorithms are essential to extract root or stem words. The goal of stemming is to reduce word forms/grammatical forms to their root forms. To accomplish, specific knowledge of language is required. In NLP, the stemmer can be used to improve the efficiency of text summarization, text mining, information retrieval and sentiment analysis. In this paper, we proposed a rule based stemming approach for Marathi language using Marathi corpus, stopword list and suffix stripping rules.

Key-Words / Index Term

natural language processing, stemming, corpus, marathi, suffix stripping and stopwords

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