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