Grammatical Relations of Myanmar Sentences Augmented by Transformation-Based Learning of Function Tagging

Win Win Thant; Tin Myat Htwe; Ni Lar Thein

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Grammatical Relations of Myanmar Sentences Augmented by Transformation-Based Learning of Function Tagging

https://meral.edu.mm/records/6741

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5. Grammatical Relations of Myanmar Sentences Augmented by Transformation-Based Learning of Function Tagging.pdf (588 Kb)

Publication type
		Journal article
Upload type
		Publication
Title
	Title	Grammatical Relations of Myanmar Sentences Augmented by Transformation-Based Learning of Function Tagging
	Language	en
Publication date		2011-09-01
Authors
		Win Win Thant
		Tin Myat Htwe
		Ni Lar Thein
Description
		In this paper we describe function tagging using Transformation Based Learning (TBL) for Myanmar that is a method of extensions to the previous statistics-based function tagger. Contextual and lexical rules (developed using TBL) were critical in achieving good results. First, we describe a method for expressing lexical relations in function tagging that statistical function tagging are currently unable to express. Function tagging is the preprocessing step to show grammatical relations of the sentences. Then we use the context free grammar technique to clarify the grammatical relations in Myanmar sentences or to output the parse trees. The grammatical relations are the functional structure of a language. They rely very much on the function tag of the tokens. We augment the grammatical relations of Myanmar sentences with transformation-based learning of function tagging.
Keywords
		Function Tagging, Grammatical Relations, Transformation Based Learning, Context Free Grammar, Parse Tree
Journal articles
		Issue 5, No 2
		International Journal of Computer Science Issues (IJCSI)
		90-99
		Vol. 8