MateCat worked at a new frontier of Computer Assisted Translation (CAT) technology, that is, how to effectively and ergonomically integrate Machine Translation (MT) within the human translation workflow. At a time in which MT was mainly trained with the objective of creating the most comprehensible output, MateCat targeted the development of MT technology aimed at minimizing the translator’s post-edit effort. To this end, MateCat developed an enhanced web-based CAT tool offering new MT capabilities, such as automatic adaption to the translated content, online learning from user corrections, and automatic quality estimation.
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! 🌆👀