Exploring NMT Explainability for Translators Using NMT Visualising Tools

Gabriela Gonzalez-Saez, Mariam Nakhle, James Turner, Fabien Lopez, Nicolas Ballier, Marco Dinarelli, Emmanuelle Esperança-Rodier, Sui He, Raheel Qader, Caroline Rossi, Didier Schwab, Jun Yang


Abstract
This paper describes work in progress on Visualisation tools to foster collaborations between translators and computational scientists. We aim to describe how visualisation features can be used to explain translation and NMT outputs. We tested several visualisation functionalities with three NMT models based on Chinese-English, Spanish-English and French-English language pairs. We created three demos containing different visualisation tools and analysed them within the framework of performance-explainability, focusing on the translator’s perspective.
Anthology ID:
2024.eamt-1.34
Volume:
Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)
Month:
June
Year:
2024
Address:
Sheffield, UK
Editors:
Carolina Scarton, Charlotte Prescott, Chris Bayliss, Chris Oakley, Joanna Wright, Stuart Wrigley, Xingyi Song, Edward Gow-Smith, Rachel Bawden, Víctor M Sánchez-Cartagena, Patrick Cadwell, Ekaterina Lapshinova-Koltunski, Vera Cabarrão, Konstantinos Chatzitheodorou, Mary Nurminen, Diptesh Kanojia, Helena Moniz
Venue:
EAMT
SIG:
Publisher:
European Association for Machine Translation (EAMT)
Note:
Pages:
396–410
Language:
URL:
https://aclanthology.org/2024.eamt-1.34
DOI:
Bibkey:
Cite (ACL):
Gabriela Gonzalez-Saez, Mariam Nakhle, James Turner, Fabien Lopez, Nicolas Ballier, Marco Dinarelli, Emmanuelle Esperança-Rodier, Sui He, Raheel Qader, Caroline Rossi, Didier Schwab, and Jun Yang. 2024. Exploring NMT Explainability for Translators Using NMT Visualising Tools. In Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1), pages 396–410, Sheffield, UK. European Association for Machine Translation (EAMT).
Cite (Informal):
Exploring NMT Explainability for Translators Using NMT Visualising Tools (Gonzalez-Saez et al., EAMT 2024)
Copy Citation:
PDF:
https://aclanthology.org/2024.eamt-1.34.pdf