COMPARATIVE STUDY OF MACHINE TRANSLATION TECHNIQUES

Abstract

Machine translation (MT) is an approach to give knowledge and train computer to translate the sentence from one language to another language with the same fluent and meaning. MT is evaluated by the techniques that are giving the best translating accuracy. The four major techniques are Statistical Machine Translation, Rule-based Machine Translation, Example-based Machine Translation and Neural Machine Translation. We will see comparison and evaluation between these techniques in this particular paper with the examples and BLEU scores.