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From bilingual to multilingual neural machine translation by incremental training

Author
Escolano, C.; Ruiz, M.; Fonollosa, José A. R.
Type of activity
Presentation of work at congresses
Name of edition
57th Annual Meeting of the Association for Computational Linguistics
Date of publication
2019
Presentation's date
2019-07-30
Book of congress proceedings
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop
First page
236
Last page
242
Publisher
Association for Computational Linguistics
DOI
10.18653/v1/P19-2033
Project funding
Autonomous lifelong learning intelligent systems
Deep learning technologies for speech and audio processing
Repository
http://hdl.handle.net/2117/185284 Open in new window
https://www.aclweb.org/anthology/P19-2033 Open in new window
URL
https://www.aclweb.org Open in new window
Abstract
Multilingual Neural Machine Translation approaches are based on the use of task specific models and the addition of one more language can only be done by retraining the whole system. In this work, we propose a new training schedule that allows the system to scale to more languages without modification of the previous components based on joint training and language-independent encoder/decoder modules allowing for zero-shot translation. This work in progress shows close results to state-of-the-art...
Citation
Escolano, C.; Ruiz, M.; Fonollosa, J. A. R. From bilingual to multilingual neural machine translation by incremental training. A: Annual Meeting of the Association for Computational Linguistics. "Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop". Stroudsburg, PA: Association for Computational Linguistics, 2019, p. 236-242.
Keywords
Bilingual, Machine Translation, Multilingual
Group of research
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center
TALP - Centre for Language and Speech Technologies and Applications
VEU - Speech Processing Group

Participants

Attachments