John O’Flaherty


2023

pdf
SignON: Sign Language Translation. Progress and challenges.
Vincent Vandeghinste | Dimitar Shterionov | Mirella De Sisto | Aoife Brady | Mathieu De Coster | Lorraine Leeson | Josep Blat | Frankie Picron | Marcello Paolo Scipioni | Aditya Parikh | Louis ten Bosch | John O’Flaherty | Joni Dambre | Jorn Rijckaert | Bram Vanroy | Victor Ubieto Nogales | Santiago Egea Gomez | Ineke Schuurman | Gorka Labaka | Adrián Núnez-Marcos | Irene Murtagh | Euan McGill | Horacio Saggion
Proceedings of the 24th Annual Conference of the European Association for Machine Translation

SignON (https://signon-project.eu/) is a Horizon 2020 project, running from 2021 until the end of 2023, which addresses the lack of technology and services for the automatic translation between sign languages (SLs) and spoken languages, through an inclusive, human-centric solution, hence contributing to the repertoire of communication media for deaf, hard of hearing (DHH) and hearing individuals. In this paper, we present an update of the status of the project, describing the approaches developed to address the challenges and peculiarities of SL machine translation (SLMT).

2022

pdf
Sign Language Translation: Ongoing Development, Challenges and Innovations in the SignON Project
Dimitar Shterionov | Mirella De Sisto | Vincent Vandeghinste | Aoife Brady | Mathieu De Coster | Lorraine Leeson | Josep Blat | Frankie Picron | Marcello Paolo Scipioni | Aditya Parikh | Louis ten Bosh | John O’Flaherty | Joni Dambre | Jorn Rijckaert
Proceedings of the 23rd Annual Conference of the European Association for Machine Translation

The SignON project (www.signon-project.eu) focuses on the research and development of a Sign Language (SL) translation mobile application and an open communications framework. SignON rectifies the lack of technology and services for the automatic translation between signed and spoken languages, through an inclusive, humancentric solution which facilitates communication between deaf, hard of hearing (DHH) and hearing individuals. We present an overview of the current status of the project, describing the milestones reached to date and the approaches that are being developed to address the challenges and peculiarities of Sign Language Machine Translation (SLMT).