# CVIT-MT Systems for WAT-2018

arXiv: https://arxiv.org/abs/1903.07917 · HTML: https://mlsanity.com/paper/1903.07917/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 19 Mar 2019.

## Built on by (most cited first, 1 of 1)

- [Intelligent Video Editing: Incorporating Modern Talking Face Generation Algorithms in a Video Editor](https://mlsanity.com/paper/2110.08580/) (2021)

## Abstract (arXiv)

This document describes the machine translation system used in the submissions of IIIT-Hyderabad CVIT-MT for the WAT-2018 English-Hindi translation task. Performance is evaluated on the associated corpus provided by the organizers. We experimented with convolutional sequence to sequence architectures. We also train with additional data obtained through backtranslation.