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Found 5 papers, 1 papers with code
Sign Stitching: A Novel Approach to Sign Language Production
To address this we present a 7-step approach to effectively stitch sequences together.
A Data-Driven Representation for Sign Language Production
By applying Vector Quantisation (VQ) to sign language data, we first learn a codebook of short motions that can be combined to create a natural sequence of sign.
Select and Reorder: A Novel Approach for Neural Sign Language Production
Sign languages, often categorised as low-resource languages, face significant challenges in achieving accurate translation due to the scarcity of parallel annotated datasets.
Gloss Alignment Using Word Embeddings
As a result, research has turned to TV broadcast content as a source of large-scale training data, consisting of both the sign language interpreter and the associated audio subtitle.
Changing the Representation: Examining Language Representation for Neural Sign Language Production
We use language models such as BERT and Word2Vec to create better sentence level embeddings, and apply several tokenization techniques, demonstrating how these improve performance on the low resource translation task of Text to Gloss.
