We introduce OmniSONAR, a family of omnilingual cross-lingual and cross-modal sentence embedding models spanning 4,000+ language varieties and natively supporting text, speech, …
We present OMT, the first MT system supporting more than 1,600 languages, where 1B–8B parameter specialized models match or exceed a 70B LLM baseline, with strong generalization to …
We introduce BOUQuET, a multi-way, multicentric, multi-domain, paragraph-level dataset and benchmark for machine translation evaluation, designed for crowd-sourced expansion to …
We propose a character-based translation model to improve adaptability to new languages and modalities, particularly for low-resource scenarios. Our method achieves …
Our submission to the WMT 2021 news translation shared task for German-French translation demonstrates that fine-tuning a pretrained mBART50 model significantly outperforms a …