activity
20162021
most citedA Comparison of Transformer and Recurrent Neural Networks on Multilingual Neural Machine Translation

92 citations · 116 across the 5 of their papers we have counts for

collaborators

8 papers

cs.CL2021★ 1 cited

Cascade versus Direct Speech Translation: Do the Differences Still Make a Difference?

Luisa Bentivogli, Mauro Cettolo, Marco Gaido +4

Five years after the first published proofs of concept, direct approaches to speech translation (ST) are now competing with traditional cascade solutions. In light of this steady p…

cs.SD2021★ 16 cited

Beyond Voice Activity Detection: Hybrid Audio Segmentation for Direct Speech Translation

Marco Gaido, Matteo Negri, Mauro Cettolo +1

The audio segmentation mismatch between training data and those seen at run-time is a major problem in direct speech translation. Indeed, while systems are usually trained on manua…

cs.CL2021

CTC-based Compression for Direct Speech Translation

Marco Gaido, Mauro Cettolo, Matteo Negri +1

Previous studies demonstrated that a dynamic phone-informed compression of the input audio is beneficial for speech translation (ST). However, they required a dedicated model for p…

cs.CL2020

Contextualized Translation of Automatically Segmented Speech

Marco Gaido, Mattia Antonino Di Gangi, Matteo Negri +2

Direct speech-to-text translation (ST) models are usually trained on corpora segmented at sentence level, but at inference time they are commonly fed with audio split by a voice ac…

cs.CL2018★ 92 cited

A Comparison of Transformer and Recurrent Neural Networks on Multilingual Neural Machine Translation

Surafel M. Lakew, Mauro Cettolo, Marcello Federico

Recently, neural machine translation (NMT) has been extended to multilinguality, that is to handle more than one translation direction with a single system. Multilingual NMT showed…

cs.CL2016

Unsupervised Clustering of Commercial Domains for Adaptive Machine Translation

Mauro Cettolo, Mara Chinea Rios, Roldano Cattoni

In this paper, we report on domain clustering in the ambit of an adaptive MT architecture. A standard bottom-up hierarchical clustering algorithm has been instantiated with five di…

cs.CL2016★ 7 cited

An Arabic-Hebrew parallel corpus of TED talks

Mauro Cettolo

We describe an Arabic-Hebrew parallel corpus of TED talks built upon WIT3, the Web inventory that repurposes the original content of the TED website in a way which is more convenie…

cs.CL2016

Neural versus Phrase-Based Machine Translation Quality: a Case Study

Luisa Bentivogli, Arianna Bisazza, Mauro Cettolo +1

Within the field of Statistical Machine Translation (SMT), the neural approach (NMT) has recently emerged as the first technology able to challenge the long-standing dominance of p…