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Select and Reorder: A Novel Approach for Neural Sign Language Production

Authors :
Walsh, Harry
Saunders, Ben
Bowden, Richard
Publication Year :
2024

Abstract

Sign languages, often categorised as low-resource languages, face significant challenges in achieving accurate translation due to the scarcity of parallel annotated datasets. This paper introduces Select and Reorder (S&R), a novel approach that addresses data scarcity by breaking down the translation process into two distinct steps: Gloss Selection (GS) and Gloss Reordering (GR). Our method leverages large spoken language models and the substantial lexical overlap between source spoken languages and target sign languages to establish an initial alignment. Both steps make use of Non-AutoRegressive (NAR) decoding for reduced computation and faster inference speeds. Through this disentanglement of tasks, we achieve state-of-the-art BLEU and Rouge scores on the Meine DGS Annotated (mDGS) dataset, demonstrating a substantial BLUE-1 improvement of 37.88% in Text to Gloss (T2G) Translation. This innovative approach paves the way for more effective translation models for sign languages, even in resource-constrained settings.<br />Comment: 8 Pages, 5 Figures, 7 Tables, LREC-COLING 2024

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2404.11532
Document Type :
Working Paper