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Parsing Of Myanmar Sentences With Function Tagging

https://meral.edu.mm/records/6743
f1583f32-7f1c-412c-94d0-0a8dcd4f4c75
a8c297ed-5cdd-469b-b62c-e27a19c73e2f
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8. 8. Parsing of Myanmar Sentences with Function Tagging.pdf (310 Kb)
Publication type
Journal article
Upload type
Publication
Title
Title Parsing Of Myanmar Sentences With Function Tagging
Language en
Publication date 2012-04-02
Authors
Win Win Thant
Tin Myat Htwe
Ni Lar Thein
Description
This paper describes the use of Naive Bayes to address the task of assigning function tags and context free
grammar (CFG) to parse Myanmar sentences. Part of the challenge of statistical function tagging for
Myanmar sentences comes from the fact that Myanmar has free-phrase-order and a complex
morphological system. Function tagging is a pre-processing step for parsing. In the task of function
tagging, we use the functional annotated corpus and tag Myanmar sentences with correct segmentation,
POS (part-of-speech) tagging and chunking information. We propose Myanmar grammar rules and apply
context free grammar (CFG) to find out the parse tree of function tagged Myanmar sentences. Experiments
show that our analysis achieves a good result with parsing of simple sentences and three types of complex
sentences.
Keywords
Function tagging, Parsing, Naive Bayes theory, Context free grammar, Myanmar sentences
Journal articles
International Journal on Natural Language Computing (IJNLC)
9-27
Vol. 1, No.1
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0
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