7 citations · 11 across the 10 of their papers we have counts for
11 papers
Smarter edits? Post-editing with error highlights and translation suggestions
Fleur V. J. van Tellingen, Gautam Ranka, Dora Žugčić +4
As MT quality increases, interest in enhanced post-editing features such as QE-derived error highlights is growing, yet evidence for their usefulness remains limited. In this work,…
Whose Voice Counts? Mapping Stakeholder Perspectives on AI Through Public Submissions to the U.S. Government
Alina Karakanta, Alex Christiansen, Tomás Dodds +4
As artificial intelligence (AI) systems become more common in our daily lives, it is important to understand how different stakeholders comprehend and envisage the role that these…
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.…
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…
Evaluating Subtitle Segmentation for End-to-end Generation Systems
Alina Karakanta, François Buet, Mauro Cettolo +1
Subtitles appear on screen as short pieces of text, segmented based on formal constraints (length) and syntactic/semantic criteria. Subtitle segmentation can be evaluated with sequ…
Simultaneous Speech Translation for Live Subtitling: from Delay to Display
Alina Karakanta, Sara Papi, Matteo Negri +1
With the increased audiovisualisation of communication, the need for live subtitles in multilingual events is more relevant than ever. In an attempt to automatise the process, we a…
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…
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…
Is 42 the Answer to Everything in Subtitling-oriented Speech Translation?
Alina Karakanta, Matteo Negri, Marco Turchi
Subtitling is becoming increasingly important for disseminating information, given the enormous amounts of audiovisual content becoming available daily. Although Neural Machine Tra…
MuST-Cinema: a Speech-to-Subtitles corpus
Alina Karakanta, Matteo Negri, Marco Turchi
Growing needs in localising audiovisual content in multiple languages through subtitles call for the development of automatic solutions for human subtitling. Neural Machine Transla…
Adapting Multilingual Neural Machine Translation to Unseen Languages
Surafel M. Lakew, Alina Karakanta, Marcello Federico +2
Multilingual Neural Machine Translation (MNMT) for low-resource languages (LRL) can be enhanced by the presence of related high-resource languages (HRL), but the relatedness of HRL…