18 citations · 97 across the 45 of their papers we have counts for
8 papers · 1 filter
Joint Speech Translation and Named Entity Recognition
Marco Gaido, Sara Papi, Matteo Negri +1
Modern automatic translation systems aim at place the human at the center by providing contextual support and knowledge. In this context, a critical task is enriching the output wi…
Named Entity Detection and Injection for Direct Speech Translation
Marco Gaido, Yun Tang, Ilia Kulikov +3
In a sentence, certain words are critical for its semantic. Among them, named entities (NEs) are notoriously challenging for neural models. Despite their importance, their accurate…
Direct Speech Translation for Automatic Subtitling
Sara Papi, Marco Gaido, Alina Karakanta +3
Automatic subtitling is the task of automatically translating the speech of audiovisual content into short pieces of timed text, i.e. subtitles and their corresponding timestamps.…
Over-Generation Cannot Be Rewarded: Length-Adaptive Average Lagging for Simultaneous Speech Translation
Sara Papi, Marco Gaido, Matteo Negri +1
Simultaneous speech translation (SimulST) systems aim at generating their output with the lowest possible latency, which is normally computed in terms of Average Lagging (AL). In t…
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…
Efficient yet Competitive Speech Translation: FBK@IWSLT2022
Marco Gaido, Sara Papi, Dennis Fucci +3
The primary goal of this FBK's systems submission to the IWSLT 2022 offline and simultaneous speech translation tasks is to reduce model training costs without sacrificing translat…
Does Simultaneous Speech Translation need Simultaneous Models?
Sara Papi, Marco Gaido, Matteo Negri +1
In simultaneous speech translation (SimulST), finding the best trade-off between high translation quality and low latency is a challenging task. To meet the latency constraints pos…
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.…