The development and advance of machine translation

Abstract

Since the advent of global online information exchanging and communicating, there are growing number of cases showing how effective and useful machine translation can be. This paper offers a brief overview of Machine Translation, including Statistical Machine Translation and Neural Machine Translation. In the Statistical Machine Translation part, different translations using corresponding different bases are introduced. Then some key parts in Neural Machine Translation are discussed: the seq2seq model, LSTM (Long Short-Term Memory) and the encoder and decoder. And finally, the evaluation metrics of machine translation are concluded which contains not only human but automatic evaluation metrics as well.