LLM-generated target-side paraphrases improve BLEU-4 from 9.56 to 10.33 on PHOENIX14T for a pose-based Transformer in sign language translation, with limits observed on other datasets.
A comprehensive study on sign language recognition methods.arXiv preprint arXiv:2007.12530, 2020
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Target-Side Paraphrase Augmentation for Sign Language Translation with Large Language Models
LLM-generated target-side paraphrases improve BLEU-4 from 9.56 to 10.33 on PHOENIX14T for a pose-based Transformer in sign language translation, with limits observed on other datasets.