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  1. University of Computer Studies, Yangon
  2. Faculty of Computer Science

CRF-based Named Entity Recognition for Myanmar Language

http://hdl.handle.net/20.500.12678/0000004827
http://hdl.handle.net/20.500.12678/0000004827
c6ced2fb-77e1-4765-9e53-78b385fa68d5
7acc9c57-995c-4549-bec4-e77e5ccb209f
Publication type
Article
Upload type
Publication
Title
Title CRF-based Named Entity Recognition for Myanmar Language
Language en
Publication date 2016-10-21
Authors
Mo, Hsu Myat
Nwet, Khin Thandar
Soe, Khin Mar
Description
Named Entity recognition (NER) is a subtask of information extraction and information retrieval that automatically identify proper nounsin texts and classify into predefined categories of name types. This paper introduces the effort on identification and classification of Named Entities inwritten Myanmar scripts in a statistical way. A statistical approach forNER of Myanmar Language using one of the supervised machine learningapproaches called Conditional Random Fields (CRF) has been proposed forthis task.
Keywords
Named Entity Recognition, Myanmar Language, CRF
Identifier 978-3-319-48489-1
Journal articles
The Tenth International Conference on Genetic and Evolutionary Computing (ICGEC 2016)
Conference papers
Books/reports/chapters
Thesis/dissertations
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