Advances made through No Language Left Behind (NLLB) have demonstrated that high-quality machine translation (MT) scale to 200 languages. Later Large...

Hacker News is a community-driven platform for sharing and discussing technology news, startups, and programming-related topics. Through user submissions and comments, Hacker News offers insights into emerging technology trends, industry developments, and entrepreneurial ventures. Readers can participate in discussions, share their insights, and stay informed about the latest advancements in technology and innovation.

Hacker News

Meta AI presents Omnilingual Machine Translation (OMT), the first MT system supporting over 1,600 languages, including endangered and marginalized ones. The system addresses the persistent generation bottleneck where models can understand many languages but fail to generate them reliably. OMT uses a comprehensive data strategy combining public multilingual corpora, manually curated MeDLEY bitext, synthetic backtranslation, and mining. Two model variants are introduced: OMT-LLaMA (decoder-only, built on LLaMA3 with retrieval-augmented translation) and OMT-NLLB (encoder-decoder architecture using OmniSONAR embeddings). Notably, 1B–8B parameter OMT models match or exceed a 70B LLM baseline on MT tasks, demonstrating a clear specialization advantage. New evaluation artifacts include BLASER 3, OmniTOX, and the BOUQuET multilingual evaluation dataset. The BOUQuET and Met-BOUQuET datasets are freely available.

Omnilingual MT: Machine Translation for 1,600 Languages