This repository contains code for the paper "Sign Language Translation using Multi Context Transformer", presented at the 20th Mexican International Conference on Artificial Intelligence (2021), Mexico City, Mexico.

This paper won the 3rd best paper award.

We discuss an efficient solution to continuous sign language translation in our paper. The dataset used is RWTH Phoenix-14T which contains german sign langauge videos along with their corresponding translation.

Paper published in Springer Lecture Notes in Artificial Intelligence (LNAI).

Publication Link: https://link.springer.com/chapter/10.1007/978-3-030-89820-5_25

Authors: M Badri Narayanan, Mahesh Bharadwaj K, Nithin G R, Dhiganth Rao Padamnoor, Vineeth Vijayaraghavan

Citation

@InProceedings{10.1007/978-3-030-89820-5_25,
author="Narayanan, M. Badri
and Bharadwaj, K. Mahesh
and Nithin, G. R.
and Padamnoor, Dhiganth Rao
and Vijayaraghavan, Vineeth",
editor="Batyrshin, Ildar
and Gelbukh, Alexander
and Sidorov, Grigori",
title="Sign Language Translation Using Multi Context Transformer",
booktitle="Advances in Soft Computing",
year="2021",
publisher="Springer International Publishing",
address="Cham",
pages="311--324",
}