Abstract:
Natural language translation is one of the
most important researches carried out in the
world of Artificial Intelligent. In any application
where a computer has to process natural
language, ambiguity is a problem. Many words
have several meanings or senses. Meanings of
word play important role in translation system.
Ambiguity problem is one of these problems
which have been a great challenge for Natural
Language Processing (NLP.) In this paper, we
propose Myanmar Word Sense Disambiguation
(WSD) algorithm based on mutual information.
This MWSD system can solve the lexical
semantic ambiguous (Noun, Verb, Adjective and
Adverb) problems that are faced in Myanmar to
English translation. This system can also provide
the nearest English meaning of the Myanmar
input words.
