Transformer-based Neural Machine Translation System for Hindi - Marathi: WMT20 Shared Task

Abstract

This paper reports the results for the Machine Translation (MT) system submitted by the NLPRL team for the Hindi - Marathi Similar Translation Task at WMT 2020. We apply the Transformer-based Neural Machine Translation (NMT) approach on both translation directions for this language pair. The trained model is evaluated on the corpus provided by shared task organizers, using BLEU, RIBES, and TER scores. There were a total of 23 systems submitted for Marathi to Hindi and 21 systems submitted for Hindi to Marathi in the shared task. Out of these, our submission ranked 6th and 9th, respectively. © 2020 Association for Computational Linguistics