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Myanmar Homonym Disambiguation System

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dc.contributor.author Hlaing, Zar Zar
dc.contributor.author Thida, Aye
dc.date.accessioned 2019-07-23T05:58:10Z
dc.date.available 2019-07-23T05:58:10Z
dc.date.issued 2019-02-27
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/1233
dc.description.abstract Natural Language Processing (NLP) is one of the most important research areas in Human Language. One of the challenges in Natural Language Processing (NLP) is to resolve ambiguous homonyms or homonym errors in sentences. Myanmar Homonym Disambiguation System is the kind of Word Sense Disambiguation System in Natural Language Processing. This system is needed for Myanmar Word Segmentation and Spell Checker System. If the sentence contains incorrect homonyms, this sentence cannot be segmented correctly. Moreover, incorrect usage of homonyms is a common problem in Myanmar to English translation. In this paper, Myanmar Homonym Disambiguation System has been described. This system detects homonym errors or ambiguous homonyms and then resolves these errors by using Corpus-Based N-Gram Model. Myanmar Text Corpus is also needed in calculation of N-Gram Model for this system. After resolving homonym errors, the system will output the sentence with correct homonyms. en_US
dc.language.iso en en_US
dc.publisher Seventeenth International Conference on Computer Applications(ICCA 2019) en_US
dc.subject NLP en_US
dc.subject Homonyms en_US
dc.subject Corpus-Based N-Gram Model en_US
dc.subject Myanmar Text Corpus en_US
dc.title Myanmar Homonym Disambiguation System en_US
dc.type Article en_US

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