37 citations · 42 across the 6 of their papers we have counts for
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cs.CL2018
Selecting Machine-Translated Data for Quick Bootstrapping of a Natural Language Understanding System
Judith Gaspers, Penny Karanasou, Rajen Chatterjee
This paper investigates the use of Machine Translation (MT) to bootstrap a Natural Language Understanding (NLU) system for a new language for the use case of a large-scale voice-co…
cs.CL2018★ 37 cited
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…