mlsanityData to 7 Oct 2026

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

arXiv 2212.01140 ↗First posted 2 Dec 2022cs.CL cs.CVcited by 3

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Abstract (arXiv)

This paper describes the system developed at the Universitat Polit`ecnica 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.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 21 of its 33 references that are in the map. First posted on arXiv 2 Dec 2022.

Builds on

21 of 33 references.

References · 21

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9 more
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Cited by year

Citing papers per year: 2023: 2; 2024: 0; 2025: 1.

3 papers.

  1. 2023Sign Language Translation from Instructional Videoscited by 39
  2. 2023Is context all you need? Scaling Neural Sign Language Translation to Large Domains of Discoursecited by 15
  3. 2025Co-creation for Sign Language Processing and Machine Translationcited by 0