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20212026
most citedOver-Generation Cannot Be Rewarded: Length-Adaptive Average Lagging for Simultaneous Speech Translation

18 citations · 96 across the 44 of their papers we have counts for

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Showing 2022Show all

7 papers · 1 filter

cs.CL2022★ 7 cited

Attention as a Guide for Simultaneous Speech Translation

Sara Papi, Matteo Negri, Marco Turchi

The study of the attention mechanism has sparked interest in many fields, such as language modeling and machine translation. Although its patterns have been exploited to perform di…

cs.CL2022★ 5 cited

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…

cs.CL2022

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.…

cs.CL2022★ 2 cited

Dodging the Data Bottleneck: Automatic Subtitling with Automatically Segmented ST Corpora

Sara Papi, Alina Karakanta, Matteo Negri +1

Speech translation for subtitling (SubST) is the task of automatically translating speech data into well-formed subtitles by inserting subtitle breaks compliant to specific display…

cs.CL2022★ 18 cited

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…

cs.CL2022★ 16 cited

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…

cs.CL2022★ 9 cited

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…