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Computer Science > Computation and Language

arXiv:2212.01140 (cs)
[Submitted on 2 Dec 2022]

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

Authors:Laia Tarrés, Gerard I. Gàllego, Xavier Giró-i-Nieto, Jordi Torres
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Abstract: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, for the sign-to-text direction. We use a Transformer model implemented with the Fairseq modeling toolkit. We have experimented with the vocabulary size, data augmentation techniques and pretraining the model with the PHOENIX-14T dataset. Our system obtains 0.50 BLEU score for the test set, improving the organizers' baseline by 0.38 BLEU. We remark the poor results for both the baseline and our system, and thus, the unreliability of our findings.
Subjects: Computation and Language (cs.CL); Computer Vision and Pattern Recognition (cs.CV)
Cite as: arXiv:2212.01140 [cs.CL]
  (or arXiv:2212.01140v1 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2212.01140

Submission history

From: Laia Tarres [view email]
[v1] Fri, 2 Dec 2022 12:42:24 UTC (126 KB)
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