Abstract:
Machine translation is one of the
important research areas in the world of
Natural Language Processing. This paper
firstly presents some challenges in Machine
Translation. Translation system needs to
solve the source and target language’s
ambiguities and also need to properly map
the concept (meaning) and grammar
(syntactic) rules of both languages. This
paper focuses on lexical semantic
disambiguation. Therefore, this system
solves semantic ambiguity problem with the
decision tree techniques (ID3, J48, Naïve
Bayesian tree and Random Forest). This
system solved the ambiguities based on
concept of word. Moreover this system
classifies the concept of each word.
