Neural Machine Translation

Project information

Successfully translated English sentences to French and vice-versa, using recurrent neural networks based encoder decoder model. Encoded input sentences into sequence of vectors and a subset of these vectors were chosen adaptively to build the respective translated sentence. Achieved 0.5 BLEU because of the availability of lower consumption powers as the input size is very large.