Ghent University Academic Bibliography

Your filters: cql: author exact F502D5DE-F0ED-11E1-A9DE-61C894A0A6B4 cql: author exact 39C8CCA0-F0EE-11E1-A9DE-61C894A0A6B4

Add to list
- Miscellaneous
- open access
Machine translation from signed to spoken languages : state of the art and challenges (01 Apr, 10.1007/s10209-023-00992-1, 2023)

Mathieu De Coster (UGent) , Dimitar Shterionov, Mieke Van Herreweghe (UGent) and Joni Dambre (UGent)

(2024) UNIVERSAL ACCESS IN THE INFORMATION SOCIETY.
Add to list
- Journal Article
- A1
- open access
Machine translation from signed to spoken languages : state of the art and challenges

Mathieu De Coster (UGent) , Dimitar Shterionov, Mieke Van Herreweghe (UGent) and Joni Dambre (UGent)

(2024) UNIVERSAL ACCESS IN THE INFORMATION SOCIETY. 23(3). p.1305-1331
Add to list
- Conference Paper
- P1
- open access
Querying a sign language dictionary with videos using dense vector search

Mathieu De Coster (UGent) and Joni Dambre (UGent)

(2023) 2023 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING WORKSHOPS, ICASSPW.
Add to list
- Conference Paper
- C1
- open access
Trends and challenges for sign language recognition with machine learning

J. Fink, Mathieu De Coster (UGent) , Joni Dambre (UGent) and B. Frénay

(2023) ESANN 2023, 31st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Proceedings. p.561-570
Add to list
- Conference Paper
- C1
- open access
SignON sign language translation : progress and challenges

Vincent Vandeghinste, Dimitar Shterionov, Mirella De Sisto, Aoife Brady, Mathieu De Coster (UGent) , Lorraine Leeson, Josep Blat, Frankie Picron, Marcello Paolo Scipioni, Aditya Parikh, et al.

(2023) Proceedings of the 24th Annual Conference of the European Association for Machine Translation. p.501-502
Add to list
- Journal Article
- A2
- open access
BeCoS corpus : Belgian Covid-19 Sign language corpus : a corpus for training sign language recognition and translation

Vincent Vandeghinste, Bob Van Dyck, Mathieu De Coster (UGent) , Maud Goddefroy and Joni Dambre (UGent)

(2022) COMPUTATIONAL LINGUISTICS IN THE NETHERLANDS JOURNAL. 12. p.7-17
Add to list
- Conference Paper
- C3
- open access
Progress, challenges and innovations of the SignON project

Vincent Vandeghinste, Mirella De Sisto, Dimitar Shterionov, Aoife Brady, Mathieu De Coster (UGent) , Lorraine Leeson, Josep Blat, Frankie Picron, Marcello Scipioni, Aditya Parikh, et al.

(2022) Computational Linguistics in the Netherlands (CLIN 32), Abstracts.
Add to list
- Conference Paper
- C1
- open access
Sign language translation : ongoing development, challenges and innovations in the SignON project

Dimitar Shterionov, Mirella De Sisto, Vincent Vandeghinste, Aoife Brady, Mathieu De Coster (UGent) , Lorraine Leeson, Josep Blat, Frankie Picron, Marcello Scipioni, Aditya Parikh, et al.

(2022) Proceedings of the 23rd Annual Conference of the European Association for Machine Translation. p.325-326
Add to list
- Conference Paper
- C3
- open access
Attention analysis of a sign language recognition task on the AUTSL dataset

Jeanne Coppin, Mathieu De Coster (UGent) and Joni Dambre (UGent)

(2022) Computational Linguistics in the Netherlands (CLIN 32), Abstracts.
Add to list
- Journal Article
- A2
- open access
Leveraging frozen pretrained written language models for neural sign language translation

Mathieu De Coster (UGent) and Joni Dambre (UGent)

(2022) INFORMATION. 13(5).

Academic Bibliography

Machine translation from signed to spoken languages : state of the art and challenges (01 Apr, 10.1007/s10209-023-00992-1, 2023)

Machine translation from signed to spoken languages : state of the art and challenges

Querying a sign language dictionary with videos using dense vector search

Trends and challenges for sign language recognition with machine learning

SignON sign language translation : progress and challenges

BeCoS corpus : Belgian Covid-19 Sign language corpus : a corpus for training sign language recognition and translation

Progress, challenges and innovations of the SignON project

Sign language translation : ongoing development, challenges and innovations in the SignON project

Attention analysis of a sign language recognition task on the AUTSL dataset

Leveraging frozen pretrained written language models for neural sign language translation

Contents

Support

Contact