Co-Creation for Sign Language Processing and Translation Technology
Sign language machine translation (SLMT)—the task of automatically translating between sign and spoken languages or between sign languages—is a complex task within the field of NLP. Its multi-modal and non-linear nature require the joint efforts of sign language (SL) linguists, technical experts, an...
Saved in:
| Main Authors: | Lisa Lepp, Dimitar Shterionov, Mirella De Sisto, Grzegorz Chrupała |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-04-01
|
| Series: | Information |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2078-2489/16/4/290 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
AzSLD: Azerbaijani sign language dataset for fingerspelling, word, and sentence translation with baseline softwareZenodo
by: Nigar Alishzade, et al.
Published: (2025-02-01) -
ISLR101: An Iranian Word-Level Sign Language Recognition Dataset
by: Hossein Ranjbar, et al.
Published: (2025-01-01) -
The count-mass distinction in Hong Kong Sign Language: an intra- and cross-modal comparison
by: Koenders Emily
Published: (2025-05-01) -
A Corpus-Based Typology of Negation Strategies in Turkish Sign Language
by: Bahtiyar MAKAROĞLU
Published: (2021-12-01) -
Idioms and other constructions in American Sign Language
by: Lepic Ryan
Published: (2025-05-01)