Implementing ASLNet V1.0: Progress and Plans

Colin Lualdi, Elaine Wright, Jack Hudson, Naomi Caselli, Christiane Fellbaum


Abstract
We report on the development of ASLNet, a wordnet for American Sign Language (ASL). ASLNet V1.0 is currently under construction by mapping easy-to-translate ASL lexical nouns to Princeton WordNet synsets. We describe our data model and mapping approach, which can be extended to any sign language. Analysis of the 390 synsets processed to date indicates the success of our procedure yet also highlights the need to supplement our mapping with the “merge” method. We outline our plans for upcoming work to remedy this, which include use of ASL free-association data.
Anthology ID:
2021.gwc-1.8
Volume:
Proceedings of the 11th Global Wordnet Conference
Month:
January
Year:
2021
Address:
University of South Africa (UNISA)
Editors:
Piek Vossen, Christiane Fellbaum
Venue:
GWC
SIG:
SIGLEX
Publisher:
Global Wordnet Association
Note:
Pages:
63–72
Language:
URL:
https://aclanthology.org/2021.gwc-1.8
DOI:
Bibkey:
Cite (ACL):
Colin Lualdi, Elaine Wright, Jack Hudson, Naomi Caselli, and Christiane Fellbaum. 2021. Implementing ASLNet V1.0: Progress and Plans. In Proceedings of the 11th Global Wordnet Conference, pages 63–72, University of South Africa (UNISA). Global Wordnet Association.
Cite (Informal):
Implementing ASLNet V1.0: Progress and Plans (Lualdi et al., GWC 2021)
Copy Citation:
PDF:
https://preview.aclanthology.org/naacl-24-ws-corrections/2021.gwc-1.8.pdf
Data
ImageNet