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.
📢📢 We invite proposals for @iwslt 2025 shared tasks!
For further information on this initiative, please refer to
https://iwslt.org/assets/pdfs/IWSLT2025-Call_for_Tasks.pdf
📅Deadline: September 30th, 2024
@_janius_ @marcfede @shashwatup9k @esalesk @katsuhitosudoh @MarineCarpuat
Meet the FBK MT group at #INTERSPEECH2024 next week! 🇬🇷
Our @beomseok_lee_ will attend the conference and present the following paper!
More info is available on our website: https://mt.fbk.eu/1-paper-accepted-at-interspeech-2024/
#INTERSPEECH2024 #SPEECH #SLU
Our pick of the week by @mgaido91: "MaLA-500: Massive Language Adaptation of Large Language Models" by @lpq29743, @shaoxiongji, @TiedemannJoerg, @andre_t_martins and @HinrichSchuetze.
#NLProc #LLM #multilingual #language #adaptation