Tuesday 23rd of April 2024
 

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


Win Win Thant, Tin Myat Htwe and Ni Lar Thein

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

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ABOUT THE AUTHORS

Win Win Thant
Win Win Thant is a Ph.D research student. She received B.C.Sc (Bachelor of Computer Science) degree in 2004, B.C.Sc (Hons.) degree in 2005 and M.C.Sc (Master of Computer Science) degree in 2007. She is now an Assistant Lecturer of U.C.S.Y (University of Computer Studies, Yangon). She has written one local paper for Parallel and Soft Computing (PSC) conference in 2010, one international paper for International Conference on Computer Applications (ICCA) conference in 2011 and one journal paper for International Journal of Computer Applications (IJCA) in July 2011. Her research interests include Natural Language Processing and Machine Translation.

Tin Myat Htwe
Tin Myat Htwe is an Associate Professor of U.C.S.Y. She obtained Ph.D degree of Information Technlogy from University of Computer Studies, Yangon. Her research interests include Natural Language Processing, Data Mining and Artificial Intelligence. She has published papers in International conferences and International Journals.

Ni Lar Thein
Ni Lar Thein is a Rector of U.C.S.Y. She obtained B.Sc. (Chem.), B.Sc. (Hons) and M.Sc. (Computer Science) from Yangon University and Ph.D. (Computer Engg.) from Nanyang Technological University, Singapore in 2003. Her research interests include Software Engineering, Artificial Intelligence and Natural Language Processing. She has published papers in International conferences and International Journals.


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