---
abstract: 'We live in a translingual society, in order to communicate with people from different parts of the world we need to have an expertise in their respective languages. Learning all these languages is not at all possible; therefore we need a mechanism which can do this task for us. Machine translators have emerged as a tool which can perform this task. In order to develop a machine translator we need to develop several different rules. The very first module that comes in machine translation pipeline is morphological analysis. Stemming and lemmatization comes under morphological analysis. In this paper we have created a lemmatizer which generates rules for removing the affixes along with the addition of rules for creating a proper root word.'
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creators_id:
- snigdha.pal18@gmail.com
- nisheeth.joshi@rediffmail.com
- mathur_iti@rediffmail.com
creators_name:
- family: Paul
given: Snigdha
honourific: ''
lineage: ''
- family: Joshi
given: Nisheeth
honourific: ''
lineage: ''
- family: Mathur
given: Iti
honourific: ''
lineage: ''
date: 2013-05
date_type: published
datestamp: 2013-11-18 21:01:21
department: ~
dir: disk0/00/00/90/58
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editors_id: []
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eprint_status: archive
eprintid: 9058
fileinfo: /style/images/fileicons/application_pdf.png;/9058/2/HindiLemmatizer.pdf
full_text_status: public
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ispublished: pub
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keywords: ~
lastmod: 2013-11-18 21:01:21
latitude: ~
longitude: ~
metadata_visibility: show
note: ~
number: 5
pagerange: 380-384
pubdom: TRUE
publication: International Journal of Computational Linguistics and Natural Language Processing
publisher: Arohan Publishers
refereed: TRUE
referencetext: ~
relation_type: []
relation_uri: []
reportno: ~
rev_number: 13
series: ~
source: ~
status_changed: 2013-11-18 21:01:21
subjects:
- ling-comput
- ling-morph
succeeds: ~
suggestions: ~
sword_depositor: ~
sword_slug: ~
thesistype: ~
title: Development of a Hindi Lemmatizer
type: journalp
userid: 21210
volume: 2