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  1. University of Computer Studies, Yangon
  2. Conferences

Assigning automatically Part-of-Speech tags to build tagged corpus for Myanmar language

http://hdl.handle.net/20.500.12678/0000003520
http://hdl.handle.net/20.500.12678/0000003520
0577a6b7-17a5-493b-bf7d-548f99a88574
16a00aef-bf0d-43a3-a37b-77555d09eca6
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psc2010paper psc2010paper (59).pdf (209 Kb)
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Article
Upload type
Publication
Title
Title Assigning automatically Part-of-Speech tags to build tagged corpus for Myanmar language
Language en
Publication date 2010-12-16
Authors
Myint, Phyu Hninn
Description
A variety of Natural Language Processing (NLP)tasks, such as named entity recognition, stemming,question answering and machine translation, benefitfrom knowledge of the words syntactic categories orPart-of-Speech (POS). POS taggers must besuccessfully applied to assign a single best POS toevery word in a corpus.This paper presents to developPart-of-Speech tagged text corpora by employingBigram part-of-speech tagger. POS tagging is aprocess of assigning appropriate syntactic categoriesto each word in a sentence. As applying bigram modelfor automated tagging process we have provided anadequate annotated corpus from scratch. We have usedcustomized POS tagset to annotate the words in aMyanmar sentence. Our Bigram tagger has twophases: training with Hidden Markov Models (HMM)and decoding with Viterbi algorithm.
Keywords
Natural Language Processing, Part-of- Speech Tagging, Hidden Markov Models and Viterbi
Identifier http://onlineresource.ucsy.edu.mm/handle/123456789/1262
Journal articles
Fifth Local Conference on Parallel and Soft Computing
Conference papers
Books/reports/chapters
Thesis/dissertations
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