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cs.CL2022
Findings of the Covid-19 MLIA Machine Translation Task
Francisco Casacuberta, Alexandru Ceausu, Khalid Choukri +10
This work presents the results of the machine translation (MT) task from the Covid-19 MLIA @ Eval initiative, a community effort to improve the generation of MT systems focused on…
cs.CL2022★ 14 cited
ATCO2 corpus: A Large-Scale Dataset for Research on Automatic Speech Recognition and Natural Language Understanding of Air Traffic Control Communications
Juan Zuluaga-Gomez, Karel Veselý, Igor Szöke +13
Personal assistants, automatic speech recognizers and dialogue understanding systems are becoming more critical in our interconnected digital world. A clear example is air traffic…