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.
The 22nd edition of IWSLT will be co-located with @aclmeeting in Vienna, Austria on 31 July-1 Aug 2025!
Stay tuned for the CFP and more info about our 2025 shared tasks! Join our google group for periodic updates.
In "Twists, Humps, and Pebbles: Multilingual Speech Recognition Models Exhibit Gender Performance Gaps," @BeatriceSavoldi, @DennisFucci, @dirk_hovy, and I show how speech recognition serves different gender groups differently and what to do about it.
Meet @sarapapi, @BeatriceSavoldi, and @negri_teo at EMNLP 2024 in Miami next week! 🌴
They will present two main conference papers about human-centered #MT and #genderbias, and #opensource #speech resources!
📍 Details here: https://mt.fbk.eu/our-postdocs-sara-papi-and-beatrice-savoldi-and-our-researcher-matteo-negri-at-emnlp-2024/
#NLProc #EMNLP2024
Weekly pick from the #MeetweenScientificWatch: "Vcoder: Versatile Vision Encoders for Multimodal LLMs" - A novel encoder boosts object perception in MLLMs, outperforming GPT-4V in visual reasoning! 🌆👀