Abstract:
In a variety of Natural Language
Processing (NLP) tasks, the words syntactic
categories or Part of Speech (POS) tagging is the
necessary process for Myanmar to other languages
machine translation system. Morphological
analysis is the study of internal structure of the
word. It is the basic step of POS tagging process.
Morphological analysis retrieves the grammatical
features such as POS and properties of a
morphologically inflected word (formation of new
word from combination of root word and inflected
words). Morphological analyzer is processed using
sequence labeling with support vector machine
classification algorithm. It can be used in language
analysis and machine translation systems and
many other NLP application. This paper presents
building Morphological analyzer for Myanmar
language using support vector machine (SVM)
with experimental results.
