Moses is a statistical machine translation system that allows you to automatically train translation models for any language pair. All you need is a collection of translated texts (parallel corpus). An efficient search algorithm finds quickly the highest probability translation among the exponential number of choices.
Our #PickOfTheWeek by @sarapapi: "RASST: Fast Cross-modal Retrieval-Augmented #Simultaneous #Speech #Translation" by Jiaxuan Luo, @siqi_ouyang, and @lileics (2026).
#RAG #SpeechTech
Very interesting new paper about combining Simultaneous Speech Translation and RAG to improve translation quality! Check it out: https://arxiv.org/pdf/2601.22777
#Speech #SpeechTech #Translation #RAG
Takeaway from our #2 DVPS consortium meeting: scaling with a few modalities won’t unlock the next leap. Progress we need to push in Europe now requires grounding intelligence in interaction and real-time feedback; we’re working on building the most promising MMFM architecture.
Oggi 11 febbraio è la Giornata Internazionale delle Donne e delle Ragazze nella Scienza.
Un’occasione per FBK di condividere e rilanciare il proprio impegno per l’uguaglianza di genere attraverso il Gender Equality Plan 2025-2028, recentemente approvato
https://magazine.fbk.eu/it/news/rinnovato-e-rafforzato-limpegno-verso-luguaglianza-di-genere-in-fbk/
🚀 𝗖𝗮𝗹𝗹 𝗳𝗼𝗿 𝗣𝗮𝗿𝘁𝗶𝗰𝗶𝗽𝗮𝘁𝗶𝗼𝗻: @iwslt Instruction Following 2026
Build general-purpose instruction-following speech models for 🌍 EN/DE/IT/ZH languages!
📅 Eval: 𝗔𝗽𝗿 1 | Submit: 𝗔𝗽𝗿 15
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#IWSLT2026 #SpeechAI #MultimodalAI