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Parsing Of Myanmar Sentences With Function Tagging
https://meral.edu.mm/records/6743
https://meral.edu.mm/records/6743f1583f32-7f1c-412c-94d0-0a8dcd4f4c75
a8c297ed-5cdd-469b-b62c-e27a19c73e2f
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Journal article | ||||||
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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. |
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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 |