Neural Machine Translation for Low-Resourced Indian Languages

1 code implementation • LREC 2020 • Himanshu Choudhary, Shivansh Rao, Rajesh Rohilla

We proposed a novel NMT model using Multihead self-attention along with pre-trained Byte-Pair-Encoded (BPE) and MultiBPE embeddings to develop an efficient translation system that overcomes the OOV (Out Of Vocabulary) problem for low resourced morphological rich Indian languages which do not have much translation available online.

Machine Translation NMT +1