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  1. University of Computer Studies, Yangon
  2. Conferences

Automatic Mining of Verb Affixes for Myanmar Language with Unsupervised learning by using N-Grams

http://hdl.handle.net/20.500.12678/0000004975
http://hdl.handle.net/20.500.12678/0000004975
ab110268-770a-447d-a3f8-964b9fa988f7
91d18845-a413-4e6b-a468-eee84fdd4339
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psc2010paper psc2010paper (140).pdf (258 Kb)
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Article
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Publication
Title
Title Automatic Mining of Verb Affixes for Myanmar Language with Unsupervised learning by using N-Grams
Language en
Publication date 2010-12-16
Authors
Than, Shalle Soe
Pa, Win Pa
Description
A separable verb is a verb that is composed of averb stem and a separable affix which is called verbaffixes. Mining of verb affixes is to extract thevarious forms of verb affixes from any Myanmarsentences. A Method for mining verb affixes inMyanmar language is presented in this paper. Anunsupervised learning approach is used to extractaffixes for various forms of verbs from Myanmarsentences since the verb affixes are supported torestrict verb from any Myanmar sentences. Myanmartexts sentences are analyzed to mine various forms ofverbs. Unsupervised learning is the task of learningwithout labeled data in NLP application. SinceMyanmar sentences are written with no specialdelimiter such as space to indicate word boundary,merging based syllable segmentation method is usedto indicate word boundary. Verb affixes areextracted from these sentences by using N-Gramsmethod. The system is implemented using java.
Keywords
Unsupervised learning, N-Grams, Affixes, Syllable based merging
Identifier http://onlineresource.ucsy.edu.mm/handle/123456789/873
Journal articles
Fifth Local Conference on Parallel and Soft Computing
Conference papers
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Thesis/dissertations
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