Our proposed method, ReSeTOX (REdo SEarch if TOXic), addresses the issue...
Machine Translation systems can produce different types of errors, some ...
In Neural Machine Translation (NMT), each token prediction is conditione...
The Artificial Intelligence industry regularly develops applications tha...
This paper describes the submission to the IWSLT 2021 offline speech
tra...
Multilingual Neural Machine Translation architectures mainly differ in t...
Current end-to-end approaches to Spoken Language Translation (SLT) rely ...
We propose a modular architecture of language-specific encoder-decoders ...
Introducing factors, that is to say, word features such as linguistic
in...
State-of-the-art multilingual machine translation relies on a universal
...
The main alternatives nowadays to deal with sequences are Recurrent Neur...
Multilingual Neural Machine Translation approaches are based on the use ...
A common intermediate language representation or an interlingua is the h...
Universal language representation is the holy grail in machine translati...
Morphology in unbalanced languages remains a big challenge in the contex...