Spoken Language to Irish Sign Language Machine Translation: A Linguistically Informed Approach

Authors

Jesus Aguilar Lopez, Technological University DublinFollow
Irene Murtagh, Technological University DublinFollow
Sheila Castilho, Dublin City University

Files

Publisher

Technological University Dublin

Description

Many deaf and hard-of-hearing individuals rely on sign language (SL) on a daily basis as a preferred language. Although nowadays there are significant advances on spoken language research, current approaches are often neither linguistically motivated nor tailored to the unique features of SLs. Further research and development are necessary to enhance Sign Language Machine Translation (SLMT) and bring it to a similar level as spoken language MT. This research will endeavour to improve the accuracy and efficiency of SLMT systems, making them more accessible to the Deaf community and empowering deaf and hard of hearing individuals to communicate more effectively with the rest of the world.

Publication Date

2023

Keywords

Sign Language Machine Translation, SLMT, deaf people, hard-of-hearing

Disciplines

Computer Sciences

Conference

First Annual Teaching and Research Showcase 2023

DOI

https://doi.org/10.21427/PD1Q-AS42

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.

Recommended Citation

Lopez, J. A., Murtagh, I., & Castilho, S. (2023). Spoken Language to Irish Sign Language Machine Translation: A Linguistically Informed Approach. Technological University Dublin. DOI: 10.21427/PD1Q-AS42