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This paper describes the system developed at the Universitat Polit\`ecnica deCatalunya for the Workshop on Machine Translation 2022 Sign LanguageTranslation Task, in particular, for the sign-to-text direction. We use aTransformer model implemented with the Fairseq modeling toolkit. We haveexperimented with the vocabulary size, data augmentation techniques andpretraining the model with the PHOENIX-14T dataset. Our system obtains 0.50BLEU 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, theunreliability of our findings.

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