Parsing Of Myanmar Sentences With Function Tagging

Win Win Thant; Tin Myat Htwe; Ni Lar Thein

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Parsing Of Myanmar Sentences With Function Tagging

https://meral.edu.mm/records/6743

Name / File	License	Actions
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