activity
20172022
most citedWide flat minima and optimal generalization in classifying high-dimensional Gaussian mixtures

10 citations · 34 across the 18 of their papers we have counts for

collaborators

34 papers

cs.CL2022

Who Are We Talking About? Handling Person Names in Speech Translation

Marco Gaido, Matteo Negri, Marco Turchi

Recent work has shown that systems for speech translation (ST) -- similarly to automatic speech recognition (ASR) -- poorly handle person names. This shortcoming does not only lead…

cs.CL20223 cited

Under the Morphosyntactic Lens: A Multifaceted Evaluation of Gender Bias in Speech Translation

Beatrice Savoldi, Marco Gaido, Luisa Bentivogli +2

Gender bias is largely recognized as a problematic phenomenon affecting language technologies, with recent studies underscoring that it might surface differently across languages.…

cs.CL2021

Is "moby dick" a Whale or a Bird? Named Entities and Terminology in Speech Translation

Marco Gaido, Susana Rodríguez, Matteo Negri +2

Automatic translation systems are known to struggle with rare words. Among these, named entities (NEs) and domain-specific terms are crucial, since errors in their translation can…

cs.CL2021

Between Flexibility and Consistency: Joint Generation of Captions and Subtitles

Alina Karakanta, Marco Gaido, Matteo Negri +1

Speech translation (ST) has lately received growing interest for the generation of subtitles without the need for an intermediate source language transcription and timing (i.e. cap…

cs.CL20211 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.CL2021

How to Split: the Effect of Word Segmentation on Gender Bias in Speech Translation

Marco Gaido, Beatrice Savoldi, Luisa Bentivogli +2

Having recognized gender bias as a major issue affecting current translation technologies, researchers have primarily attempted to mitigate it by working on the data front. However…