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Statistical Function Tagging And Grammatical Relations Of Myanmar Sentences
https://meral.edu.mm/records/6740
https://meral.edu.mm/records/67404c5a9551-59da-4496-9c2f-9f01d5a47093
7f6f0994-ca76-4cea-8653-bfd9b02afbb1
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4. Statistical Function Tagging and Grammatical Relations of Myanmar Sentences.pdf (310 Kb)
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© CS & IT-CSCP 2011
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Publication type | ||||||
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Conference paper | ||||||
Upload type | ||||||
Publication | ||||||
Title | ||||||
Title | Statistical Function Tagging And Grammatical Relations Of Myanmar Sentences | |||||
Language | en | |||||
Publication date | 2011-09-25 | |||||
Authors | ||||||
Win Win Thant | ||||||
Tin Myat Htwe | ||||||
Ni Lar Thein | ||||||
Description | ||||||
This paper describes a context free grammar (CFG) based grammatical relations for Myanmar sentences which combine corpus-based function tagging system. Part of the challenge of statistical function tagging for Myanmar sentences comes from the fact that Myanmar has freephrase- order and a complex morphological system. Function tagging is a pre-processing step to show grammatical relations of Myanmar sentences. In the task of function tagging, which tags the function of Myanmar sentences with correct segmentation, POS (part-of-speech) tagging and chunking information, we use Naive Bayesian theory to disambiguate the possible function tags of a word. We apply context free grammar (CFG) to find out the grammatical relations of the function tags. We also create a functional annotated tagged corpus for Myanmar and propose the grammar rules for Myanmar sentences. Experiments show that our analysis achieves a good result with simple sentences and complex sentences. |
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Keywords | ||||||
Grammatical relations, Function tagging, Naive Bayesian theory, Context-free-grammar | ||||||
Identifier | 10.5121/csit.2011.1319 | |||||
Conference papers | ||||||
AIAA 2011 | ||||||
23-25 September, 2011 | ||||||
1st International Conference on Artificial Intelligence, Soft Computing and Applications |