A Critical Study of Automatic Evaluation in Sign Language Translation
NeutralArtificial Intelligence
A new study highlights the limitations of current automatic evaluation metrics used in sign language translation (SLT), such as BLEU and ROUGE, which primarily focus on text. This research is important because it seeks to improve the evaluation of SLT outputs, ensuring that they are accurately assessed for quality. By analyzing various metrics, the study aims to pave the way for more reliable evaluation methods that can better capture the nuances of sign language.
— Curated by the World Pulse Now AI Editorial System
