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Name Entity Recognition for Myanmar Language

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dc.contributor.author Myint, Thida
dc.date.accessioned 2019-09-25T13:42:43Z
dc.date.available 2019-09-25T13:42:43Z
dc.date.issued 2012-02-28
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/2269
dc.description.abstract Name Entity Recognition (NER) is one of the fundamental problems in many Natural Language Processing applications. NE consists of names, person, location, organization, time, numerical expressions and etc. Not much works have been done on NER for Myanmar language. Due to the characteristics of Myanmar language, NE extraction is more difficult than English Language. Myanmar Language is also difficult to distinguish NE and common word because it lacks of orthographical information to signal NEs, no boundary indication between words and no capitalization like English. In this paper, we propose NER algorithm which can recognize three classes of NEs: Person, Organization and Location. In identification phase, we employed pre-defined rules generated from Language knowledge, and Myanmar-English bi-lingual Lexicon. en_US
dc.language.iso en_US en_US
dc.publisher Tenth International Conference On Computer Applications (ICCA 2012) en_US
dc.title Name Entity Recognition for Myanmar Language en_US
dc.type Article en_US

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