Towards Continual Learning for Multilingual Machine Translation via Vocabulary Substitution

@inproceedings{Garca2021TowardsCL,
  title={Towards Continual Learning for Multilingual Machine Translation via Vocabulary Substitution},
  author={Xavier Garc{\'i}a and Noah Constant and Ankur P. Parikh and Orhan Firat},
  booktitle={North American Chapter of the Association for Computational Linguistics},
  year={2021}
}
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… 
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