Towards Continual Learning for Multilingual Machine Translation via Vocabulary Substitution

• URL: http://arxiv.org/abs/2103.06799v1
• Date: Thu, 11 Mar 2021 17:10:21 GMT
• Title: Towards Continual Learning for Multilingual Machine Translation via Vocabulary Substitution
• Authors: Xavier Garcia, Noah Constant, Ankur P. Parikh, Orhan Firat
• Abstract summary: We propose a straightforward vocabulary adaptation scheme to extend the language capacity of multilingual machine translation models. Our approach is suitable for large-scale datasets, applies to distant languages with unseen scripts and incurs only minor degradation on the translation performance for the original language pairs.
• Score: 16.939016405962526
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: We propose a straightforward vocabulary adaptation scheme to extend the language capacity of multilingual machine translation models, paving the way towards efficient continual learning for multilingual machine translation. Our approach is suitable for large-scale datasets, applies to distant languages with unseen scripts, incurs only minor degradation on the translation performance for the original language pairs and provides competitive performance even in the case where we only possess monolingual data for the new languages.

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