no code implementations • 24 Apr 2019 • Nicholas Ruiz, Mattia Antonino Di Gangi, Nicola Bertoldi, Marcello Federico
Machine translation systems are conventionally trained on textual resources that do not model phenomena that occur in spoken language.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +6
no code implementations • LREC 2018 • Matteo Negri, Marco Turchi, Rajen Chatterjee, Nicola Bertoldi
eSCAPE consists of millions of entries in which the MT element of the training triplets has been obtained by translating the source side of publicly-available parallel corpora, and using the target side as an artificial human post-edit.
no code implementations • EACL 2017 • M. Amin Farajian, Marco Turchi, Matteo Negri, Nicola Bertoldi, Marcello Federico
State-of-the-art neural machine translation (NMT) systems are generally trained on specific domains by carefully selecting the training sets and applying proper domain adaptation techniques.
no code implementations • COLING 2014 • Marcello Federico, Nicola Bertoldi, Mauro Cettolo, Matteo Negri, Marco Turchi, Marco Trombetti, Aless Cattelan, ro, Antonio Farina, Domenico Lupinetti, Andrea Martines, Alberto Massidda, Holger Schwenk, Lo{\"\i}c Barrault, Frederic Blain, Philipp Koehn, Christian Buck, Ulrich Germann