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A Part of Speech Tagger for Myanmar Text
http://hdl.handle.net/20.500.12678/0000008000
http://hdl.handle.net/20.500.12678/00000080008f600b32-b6ed-40bb-950e-820b92d27a5b
a5a62907-b05f-49da-a2fa-276432b5ccd3
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Conference paper | ||||||
Upload type | ||||||
Publication | ||||||
Title | ||||||
Title | A Part of Speech Tagger for Myanmar Text | |||||
Language | en | |||||
Publication date | 2011-11-06 | |||||
Authors | ||||||
Cynthia Myint | ||||||
Description | ||||||
"POS tagging is the process of marking up the words in a text as corresponding to a particular part of speech based on both its definition, as well as its context. Tagsets and word disambiguation rules are fundamental parts of any POS tagger. A part of speech tagger for Myanmar text is proposed that can provide many benefits to Myanmar to English language translation system and other NLP tasks. It exploits heuristic rule based approach to tag the correct syntactic categories of the words in Myanmar text. The tagger of this system demonstrates on the following ideas: (i) Design detail tagsets for Myanmar text by using different part-of-speech in Myanmar grammar. (ii) Generate word disambiguation rules to assign the correct syntactic categories of each word in the text by using the morphological structure in Myanmar grammar. It also creates a small lexicon which can be applied to serve the training data for wordnsegmentation and POS tagging for the words in the text. The proposed system can give the promising tagging accuracy by applying the morphological structure of Myanmar grammar and word disambiguation rules" |
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Keywords | ||||||
"Tagsets, Syntactic Categories, Heuristic Rule Based Approach." | ||||||
Conference papers | ||||||
AICT | ||||||
31.12.2011 | ||||||
Proceedings of the fourth conference on applied information and communication technology | ||||||
UCSM, Myanmar |