TY  - JOUR
TI  - A Study of State-of-the-Art Neural Machine Translation Approaches
AU  - Mr. Satish Kumar
AU  -  Dr. Mohammed Asger
JO  - International Journal of Scientific Research in Computer Science, Engineering and Information Technology
PB  - Technoscience Academy
DA  - 2018/04/25
PY  - 2018
DO  - https://doi.org/10.32628/IJSRCSEIT
UR  - https://ijsrcseit.com/CSEIT411822
VL  - 4
IS  - 1
SP  - 135	
EP  - 139
AB  - Neural Machine Translation (NMT) is a recent advance proposal technique in machine translation. Neural Machine Translation surpassed the results of Statistical Machine Translation. This report discusses some significant works on the recent advances in neural machine translation. The aim of NMT is to build a single neural network that generates maximum translation performance. This report present the overview of neural network, neural language model which include Recurrent Neural Models (RNN) and Neural Machine Translation models which include encoder-decoder approach, attention-based neural machine translation.