activity
20172023
most citedeSCAPE: a Large-scale Synthetic Corpus for Automatic Post-Editing

37 citations · 277 across the 41 of their papers we have counts for

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Showing 2018Show all

5 papers · 1 filter

cs.CL2018★ 36 cited

Improving Zero-Shot Translation of Low-Resource Languages

Surafel M. Lakew, Quintino F. Lotito, Matteo Negri +2

Recent work on multilingual neural machine translation reported competitive performance with respect to bilingual models and surprisingly good performance even on (zeroshot) transl…

cs.CL2018★ 9 cited

Transfer Learning in Multilingual Neural Machine Translation with Dynamic Vocabulary

Surafel M. Lakew, Aliia Erofeeva, Matteo Negri +2

We propose a method to transfer knowledge across neural machine translation (NMT) models by means of a shared dynamic vocabulary. Our approach allows to extend an initial model for…

eess.AS2018★ 7 cited

Fine-tuning on Clean Data for End-to-End Speech Translation: FBK @ IWSLT 2018

Mattia Antonino Di Gangi, Roberto Dessì, Roldano Cattoni +2

This paper describes FBK's submission to the end-to-end English-German speech translation task at IWSLT 2018. Our system relies on a state-of-the-art model based on LSTMs and CNNs,…

math.NA2018

Space-time least-squares isogeometric method and efficient solver for parabolic problems

Monica Montardini, Matteo Negri, Giancarlo Sangalli +1

In this paper, we propose a space-time least-squares isogeometric method to solve parabolic evolution problems, well suited for high-degree smooth splines in the space-time domain.…

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…