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JUST System for WMT20 Chat Translation Task

  • Jordan University of Science and Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

Machine Translation (MT) is a sub-field of Artificial Intelligence and Natural Language Processing that investigates and studies the ways of automatically translating a text from one language to another. In this paper, we present the details of our submission to the WMT20 Chat Translation Task, which consists of two language directions, English→German and German→English. The major feature of our system is applying a pre-trained BERT embedding with a bidirectional recurrent neural network. Our system ensembles three models, each with different hyperparameters. Despite being trained on a very small corpus, our model produces surprisingly good results.

Original languageEnglish
Title of host publication5th Conference on Machine Translation, WMT 2020 - Proceedings
EditorsLoic Barrault, Ondrej Bojar, Fethi Bougares, Rajen Chatterjee, Marta R. Costa-Jussa, Christian Federmann, Mark Fishel, Alexander Fraser, Yvette Graham, Paco Guzman, Barry Haddow, Matthias Huck, Antonio Jimeno Yepes, Philipp Koehn, Andre Martins, Makoto Morishita, Christof Monz, Masaaki Nagata, Toshiaki Nakazawa, Matteo Negri
PublisherAssociation for Computational Linguistics (ACL)
Pages479-482
Number of pages4
ISBN (Electronic)9781948087810
StatePublished - 2020
Externally publishedYes
Event5th Conference on Machine Translation, WMT 2020 - Virtual, Online
Duration: 19 Nov 202020 Nov 2020

Publication series

Name5th Conference on Machine Translation, WMT 2020 - Proceedings

Conference

Conference5th Conference on Machine Translation, WMT 2020
CityVirtual, Online
Period19/11/2020/11/20

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