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Lexical Analyzer for Myanmar Language

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dc.contributor.author Phyue, Soe Lai
dc.date.accessioned 2019-09-25T13:31:04Z
dc.date.available 2019-09-25T13:31:04Z
dc.date.issued 2012-02-28
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/2265
dc.description.abstract The lexical analysis within the context of language processing is to connect each word with its corresponding label in a lexicon. However, many words have more than one meaning, ambiguity word, which may make it impossible to choose the correct meaning of the word considering only the highlighted word in its context. Beside then there is also unknown word, a word does not have in the lexicon, which may need to handle for tagging and updating this word in the lexicon to improve the coverage of lexicon. For this reason, this paper proposes the lexical analyzer to solve the ambiguity of known words and to tag the unknown words of Myanmar language by using rule based approach and decision tree induction method. Moreover, to support the lexical analyzer, segmentation and pattern merging algorithm is also proposed by using the Myanmar-English computational lexicon. The propose system is effective for Myanmar language lexical analysis and can improve the coverage of the lexicon. en_US
dc.language.iso en_US en_US
dc.publisher Tenth International Conference On Computer Applications (ICCA 2012) en_US
dc.subject lexical analysis en_US
dc.subject Natural Language Processing en_US
dc.subject Machine Learning en_US
dc.subject decision tree induction en_US
dc.subject computational lexicon en_US
dc.title Lexical Analyzer for Myanmar Language en_US
dc.type Article en_US

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