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Detection of Synonyms from Myanmar Text Using Latent Semantic Analysis

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dc.contributor.author Win, Myint Myint
dc.contributor.author Thein, Ni Lar
dc.date.accessioned 2019-07-03T04:52:06Z
dc.date.available 2019-07-03T04:52:06Z
dc.date.issued 2011-05-05
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/219
dc.description.abstract Manually produced lexical resources are time-consuming and labour-intensive. Therefore, automatically identifying these resources is important to overcome knowledge bottleneck in natural language processing. This paper deals with the task of finding synonyms and near synonyms from raw data for the lexical substitution task. In this paper, an approach for automatically identifying synonyms is presented to support the process of semantic simplification for Myanmar text. Candidate synonyms for a target word will be generated using latent semantic analysis (LSA), which is a fully automatic statistical technique for extracting relations of expected contextual usage of words. This work can be helpful for thesaurus construction for Myanmar language. en_US
dc.language.iso en en_US
dc.publisher Ninth International Conference On Computer Applications (ICCA 2011) en_US
dc.title Detection of Synonyms from Myanmar Text Using Latent Semantic Analysis en_US
dc.type Article en_US


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