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Stochastic Context Free Grammar for Statistical Parsing of Myanmar Natural Language Processing

http://hdl.handle.net/20.500.12678/0000004749
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5ba0eaab-d677-47a8-bf4a-2471359add88
Publication type
Article
Upload type
Publication
Title
Title Stochastic Context Free Grammar for Statistical Parsing of Myanmar Natural Language Processing
Language en
Publication date 2018-02-22
Authors
Aung, Myintzu Phyo
Aung, Ohnmar
Hlaing, Nan Yu
San, Thida
Moe, Zun Hlaing
Description
Parsing is breaking a sentence into its constituent nonterminal. Parsing of simple noun-phrase is useful in the study of artificial intelligence for various reasons, such as, for an index-term generation in an information retrieval; for the extraction of collocation knowledge from large corpora; development of computational tools for language analysis. In this paper, Context Free Grammar and Stochastic Context Free Grammar of Myanmar Noun phrase are presented. These Grammars can be applied in statistical parsing of Myanmar Natural Language Processing, which is convenience for many NLP tasks of Myanmar language such as machine translation, phrase alignment, reordering and text summarization.
Keywords
Parsing, Context Free Grammar, Statistical parsing, Stochastic Context Free Grammar
Identifier http://onlineresource.ucsy.edu.mm/handle/123456789/487
Journal articles
Sixteenth International Conferences on Computer Applications(ICCA 2018)
Conference papers
Books/reports/chapters
Thesis/dissertations
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