18 citations · 84 across the 27 of their papers we have counts for
4 papers · 1 filter
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…
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…
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,…
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…