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 AI4Culture Platform is here!
Thrilled to officially launch the @AI4Culture platform: an exciting opportunity to empower #CulturalHeritage with #AI tools & resources.
Read more on @Europeanaeu & discover it now:
https://shorturl.at/8ZQbg
I’m honestly impressed by the quantity and quality of PhD students at @FBK_research working on #NLProc related topics… we have a very promising new generation of young researchers ready to take the stage #LT2024FBK
#LT2024FBK day. Some pictures of our students from LanD presenting their work. Well done folks!
3What a day! We've had a great line-up of speakers today, starting from @barbara_plank's keynote speech to all the presenters at the Language Technology day in @FBK_research #LT2024FBK