most citedTackling Low-Resourced Sign Language Translation: UPC at WMT-SLT 22

4 citations · 4 across the 4 of their papers we have counts for

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5 papers

cs.CL20224 cited

Tackling Low-Resourced Sign Language Translation: UPC at WMT-SLT 22

Laia Tarrés, Gerard I. Gàllego, Xavier Giró-i-Nieto +1

This paper describes the system developed at the Universitat Politècnica de Catalunya for the Workshop on Machine Translation 2022 Sign Language Translation Task, in particular, fo…

cs.CL2022

Multiformer: A Head-Configurable Transformer-Based Model for Direct Speech Translation

Gerard Sant, Gerard I. Gállego, Belen Alastruey +1

Transformer-based models have been achieving state-of-the-art results in several fields of Natural Language Processing. However, its direct application to speech tasks is not trivi…

cs.CL2022

On the Locality of Attention in Direct Speech Translation

Belen Alastruey, Javier Ferrando, Gerard I. Gállego +1

Transformers have achieved state-of-the-art results across multiple NLP tasks. However, the self-attention mechanism complexity scales quadratically with the sequence length, creat…

cs.CL2021

Efficient Transformer for Direct Speech Translation

Belen Alastruey, Gerard I. Gállego, Marta R. Costa-jussà

The advent of Transformer-based models has surpassed the barriers of text. When working with speech, we must face a problem: the sequence length of an audio input is not suitable f…

cs.CL2021

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…