Data, code and models released by NAVER LABS Europe


Lightweight Pytorch framework for training and running text generation models.

Can be used for machine translation, speech translation, language modeling and dialogue supporting a number of popular pre-trained models.

Multilingual machine translation

Assessing the impact of compression methods on MNMT.

Code repository for paper: What do compressed multilingual machine translation models forget?


A shallow multilingual machine translation model for low-resource languages.

Covers more than 10K language pairs, achieves competitive results with M2M-100 while being much smaller and faster.

NMT & Efficient Multilingual NMT

Code, model checkpoints, test sets and outputs for 4 multilingual NMT papers (EMNLP2021).

Publications concern efficient inference, continual learning, unsupervised NMT and domain adaptation.


Multi-lingual & multi-domain translation model.

Model specialised for biomedical data.

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