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  1. University of Information Technology
  2. Faculty of Computer Science

Naïve Bayes for Function Tagging in Myanmar Language

https://meral.edu.mm/records/6738
https://meral.edu.mm/records/6738
9a67da1a-e6cd-4879-9992-2243ea98291d
c74ae641-38fb-4a19-9f9d-4655c685f200
Name / File License Actions
1. 1. Naïve Bayes for Function Tagging in Myanmar Language.pdf (58 Kb)
Publication type
Conference paper
Upload type
Publication
Title
Title Naïve Bayes for Function Tagging in Myanmar Language
Language en
Publication date 2010-12-16
Authors
Win Win Thant
Description
This paper proposes an approach to
annotate function tags for unparsed text. We address
the question of whether data-driven function tag
assignment method can be applied to Myanmar
language. We assign function tags directly basing on
lexical information, which is easily scalable for
languages that lack sufficient parsing resources or
have inherent linguistic challenges for parsing. We
investigate a supervised sequence learning method to
automatically recognize function tags. In order to
demonstrate the effectiveness and versatility of our
method, we investigate function tag assignment for
unparsed text by applying Naïve Bayesian theory.
Our approach to functional analysis is to classify, so
far as possible, all the processes and states which
languages must describe, and to identify the
functional elements which are needed for each one to
construct a meaningful sentence.
Keywords
Function Tagging
Conference papers
PSC 2010
16 December, 2010
The Fifth Conference on Parallel & Soft Computing
Yangon, Myanmar
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