Topic
sign language
Artificial Intelligence #sign language#translation
LLM Paraphrase Augmentation Boosts Sign Language Translation Performance
A new study proposes using a large language model (GPT-4o) to generate controlled paraphrase variants of training targets for sign language translation (SLT). Evaluated on three datasets, the method yields a modest BLEU-4 improvement on PHOENIX14T and reveals gains in semantic fidelity not captured by lexical metrics.
Jun 21, 2026 1 source
Artificial Intelligence #sign-language#datasets
Comprehensive Survey of 120 Sign-Language Datasets Identifies Key Gaps in Scale and Annotation Standards
A comprehensive survey of 120 sign-language datasets across 35 languages reveals fragmented annotations, modality imbalance, and signer bias. The study introduces a 24-field datasheet and a public GitHub repository to standardize documentation and improve scalability.
Jun 20, 2026 1 source