25 citations · 25 across the 1 of their papers we have counts for
Showing cs.CLShow all
2 papers · 1 filter
cs.CL2019★ 25 cited
Assessing the Tolerance of Neural Machine Translation Systems Against Speech Recognition Errors
Nicholas Ruiz, Mattia Antonino Di Gangi, Nicola Bertoldi +1
Machine translation systems are conventionally trained on textual resources that do not model phenomena that occur in spoken language. While the evaluation of neural machine transl…
cs.CL2018
eSCAPE: a Large-scale Synthetic Corpus for Automatic Post-Editing
Matteo Negri, Marco Turchi, Rajen Chatterjee +1
Training models for the automatic correction of machine-translated text usually relies on data consisting of (source, MT, human post- edit) triplets providing, for each source sent…