3 citations · 6 across the 13 of their papers we have counts for
11 papers · 1 filter
Omnilingual SONAR: Cross-Lingual and Cross-Modal Sentence Embeddings Bridging Massively Multilingual Text and Speech
Omnilingual SONAR Team, João Maria Janeiro, Pere-Lluís Huguet Cabot +17
Cross-lingual sentence encoders typically cover only a few hundred languages and often trade downstream quality for stronger alignment, limiting their adoption. We introduce OmniSO…
Omnilingual MT: Machine Translation for 1,600 Languages
Omnilingual MT Team, Belen Alastruey, Niyati Bafna +29
High-quality machine translation (MT) can scale to hundreds of languages, setting a high bar for multilingual systems. However, compared to the world's 7,000 languages, current sys…
Improving Language and Modality Transfer in Translation by Character-level Modeling
Ioannis Tsiamas, David Dale, Marta R. Costa-jussà
Current translation systems, despite being highly multilingual, cover only 5% of the world's languages. Expanding language coverage to the long-tail of low-resource languages requi…
BOUQuET: dataset, Benchmark and Open initiative for Universal Quality Evaluation in Translation
The Omnilingual MT Team, Pierre Andrews, Mikel Artetxe +14
BOUQuET is a multi-way, multicentric and multi-register/domain dataset and benchmark, and a broader collaborative initiative. This dataset is handcrafted in 8 non-English languages…
Speech is More Than Words: Do Speech-to-Text Translation Systems Leverage Prosody?
Ioannis Tsiamas, Matthias Sperber, Andrew Finch +1
The prosody of a spoken utterance, including features like stress, intonation and rhythm, can significantly affect the underlying semantics, and as a consequence can also affect it…
Pushing the Limits of Zero-shot End-to-End Speech Translation
Ioannis Tsiamas, Gerard I. Gállego, José A. R. Fonollosa +1
Data scarcity and the modality gap between the speech and text modalities are two major obstacles of end-to-end Speech Translation (ST) systems, thus hindering their performance. P…
Speech Translation with Foundation Models and Optimal Transport: UPC at IWSLT23
Ioannis Tsiamas, Gerard I. Gállego, José A. R. Fonollosa +1
This paper describes the submission of the UPC Machine Translation group to the IWSLT 2023 Offline Speech Translation task. Our Speech Translation systems utilize foundation models…
Explaining How Transformers Use Context to Build Predictions
Javier Ferrando, Gerard I. Gállego, Ioannis Tsiamas +1
Language Generation Models produce words based on the previous context. Although existing methods offer input attributions as explanations for a model's prediction, it is still unc…
SegAugment: Maximizing the Utility of Speech Translation Data with Segmentation-based Augmentations
Ioannis Tsiamas, José A. R. Fonollosa, Marta R. Costa-jussà
End-to-end Speech Translation is hindered by a lack of available data resources. While most of them are based on documents, a sentence-level version is available, which is however…
Efficient Speech Translation with Dynamic Latent Perceivers
Ioannis Tsiamas, Gerard I. Gállego, José A. R. Fonollosa +1
Transformers have been the dominant architecture for Speech Translation in recent years, achieving significant improvements in translation quality. Since speech signals are longer…
End-to-End Speech Translation with Pre-trained Models and Adapters: UPC at IWSLT 2021
Gerard I. Gállego, Ioannis Tsiamas, Carlos Escolano +2
This paper describes the submission to the IWSLT 2021 offline speech translation task by the UPC Machine Translation group. The task consists of building a system capable of transl…