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abstract: In this paper we present a Marathi part of speech tagger. It is a morphologically rich language. It is spoken by the native people of Maharashtra. The general approach used for development of tagger is statistical using trigram Method. The main concept of trigram is to explore the most likely POS for a token based on given information of previous two tags by calculating probabilities to determine which is the best sequence of a tag. In this paper we show the development of the tagger. Moreover we have also shown the evaluation done.
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creators_id:
- jyoti.singh132@gmail.com
- nisheeth.joshi@rediffmail.com
- mathur_iti@rediffmail.com
creators_name:
- family: Singh
given: Jyoti
honourific: ''
lineage: ''
- family: Joshi
given: Nisheeth
honourific: ''
lineage: ''
- family: Mathur
given: Iti
honourific: ''
lineage: ''
date: 2013-04
date_type: published
datestamp: 2013-11-18 21:01:58
department: ~
dir: disk0/00/00/90/69
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editors_id: []
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eprint_status: archive
eprintid: 9069
fileinfo: /style/images/fileicons/application_pdf.png;/9069/1/3213ijait03.pdf
full_text_status: public
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ispublished: pub
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keywords: 'marathi, modeling, n-gram, of, part, speech, stochastic, tagging'
lastmod: 2013-11-18 21:01:58
latitude: ~
longitude: ~
metadata_visibility: show
note: ~
number: 2
pagerange: 35-41
pubdom: TRUE
publication: International Journal of Advanced Information Technology
publisher: ~
refereed: TRUE
referencetext: ~
relation_type: []
relation_uri: []
reportno: ~
rev_number: 13
series: ~
source: ~
status_changed: 2013-11-18 21:01:58
subjects:
- comp-sci-art-intel
- ling-comput
succeeds: ~
suggestions: ~
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title: Part of Speech Tagging of Marathi Text Using Trigram Method
type: journalp
userid: 21210
volume: 3