Search Results for author: Nicola Bertoldi

Found 7 papers, 0 papers with code

eSCAPE: a Large-scale Synthetic Corpus for Automatic Post-Editing

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.

Automatic Post-Editing Sentence

Neural vs. Phrase-Based Machine Translation in a Multi-Domain Scenario

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.

Domain Adaptation Machine Translation +2

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