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03/28/2023
Reproducibility is Nothing without Correctness: The Importance of Testing Code in NLP
Despite its pivotal role in research experiments, code correctness is of...
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03/24/2023
Distributed Silhouette Algorithm: Evaluating Clustering on Big Data
In the big data era, the key feature that each algorithm needs to have i...
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10/21/2022
Joint Speech Translation and Named Entity Recognition
Modern automatic translation systems aim at place the human at the cente...
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10/21/2022
Named Entity Detection and Injection for Direct Speech Translation
In a sentence, certain words are critical for its semantic. Among them, ...
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09/27/2022
Direct Speech Translation for Automatic Subtitling
Automatic subtitling is the task of automatically translating the speech...
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06/12/2022
Over-Generation Cannot Be Rewarded: Length-Adaptive Average Lagging for Simultaneous Speech Translation
Simultaneous speech translation (SimulST) systems aim at generating thei...
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05/13/2022
Who Are We Talking About? Handling Person Names in Speech Translation
Recent work has shown that systems for speech translation (ST) – similar...
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05/05/2022
Efficient yet Competitive Speech Translation: FBK@IWSLT2022
The primary goal of this FBK's systems submission to the IWSLT 2022 offl...
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04/08/2022
Does Simultaneous Speech Translation need Simultaneous Models?
In simultaneous speech translation (SimulST), finding the best trade-off...
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03/18/2022
Under the Morphosyntactic Lens: A Multifaceted Evaluation of Gender Bias in Speech Translation
Gender bias is largely recognized as a problematic phenomenon affecting ...
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09/15/2021
Is "moby dick" a Whale or a Bird? Named Entities and Terminology in Speech Translation
Automatic translation systems are known to struggle with rare words. Amo...
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09/09/2021
Speechformer: Reducing Information Loss in Direct Speech Translation
Transformer-based models have gained increasing popularity achieving sta...
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07/13/2021
Between Flexibility and Consistency: Joint Generation of Captions and Subtitles
Speech translation (ST) has lately received growing interest for the gen...
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06/23/2021
Dealing with training and test segmentation mismatch: FBK@IWSLT2021
This paper describes FBK's system submission to the IWSLT 2021 Offline S...
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06/02/2021
Cascade versus Direct Speech Translation: Do the Differences Still Make a Difference?
Five years after the first published proofs of concept, direct approache...
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05/28/2021
How to Split: the Effect of Word Segmentation on Gender Bias in Speech Translation
Having recognized gender bias as a major issue affecting current transla...
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04/23/2021
Beyond Voice Activity Detection: Hybrid Audio Segmentation for Direct Speech Translation
The audio segmentation mismatch between training data and those seen at ...
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04/13/2021
Gender Bias in Machine Translation
Machine translation (MT) technology has facilitated our daily tasks by p...
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02/02/2021
CTC-based Compression for Direct Speech Translation
Previous studies demonstrated that a dynamic phone-informed compression ...
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12/09/2020
On Knowledge Distillation for Direct Speech Translation
Direct speech translation (ST) has shown to be a complex task requiring ...
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12/09/2020
Breeding Gender-aware Direct Speech Translation Systems
In automatic speech translation (ST), traditional cascade approaches inv...
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09/10/2020
On Target Segmentation for Direct Speech Translation
Recent studies on direct speech translation show continuous improvements...
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08/05/2020
Contextualized Translation of Automatically Segmented Speech
Direct speech-to-text translation (ST) models are usually trained on cor...
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06/04/2020