Papers by Byungcheon Yoon
Automatic Gloss-level Data Augmentation for Sign Language Translation (2022.lrec-1)
Copied to clipboard
| Challenge: | Existing methods for enhancing sign language text data are insufficient . fewer studies have been performed on text data augmentation compared to video data . |
| Approach: | They propose three methods to augment sign language text data using Korean sign language gloss dictionary. |
| Outcome: | The proposed method improves translation performance by 0.204 and 0.170 compared to the original data. |