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Found 2 papers, 1 papers with code
Syntax-aware Transformers for Neural Machine Translation: The Case of Text to Sign Gloss Translation
It is well-established that the preferred mode of communication of the deaf and hard of hearing (DHH) community are Sign Languages (SLs), but they are considered low resource languages where natural language processing technologies are of concern.
Translating Spanish into Spanish Sign Language: Combining Rules and Data-driven Approaches
This paper presents a series of experiments on translating between spoken Spanish and Spanish Sign Language glosses (LSE), including enriching Neural Machine Translation (NMT) systems with linguistic features, and creating synthetic data to pretrain and later on finetune a neural translation model.
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