@inproceedings{gonzalez-saez-etal-2024-make,
title = "The {MAKE}-{NMTV}iz Project: Meaningful, Accurate and Knowledge-limited Explanations of {NMT} Systems for Translators",
author = "Gonzalez-Saez, Gabriela and
Lopez, Fabien and
Nakhle, Mariam and
Turner, James and
Ballier, Nicolas and
Dinarelli, Marco and
Esperan{\c{c}}a-Rodier, Emmanuelle and
He, Sui and
Rossi, Caroline and
Schwab, Didier and
Yang, Jun",
editor = "Scarton, Carolina and
Prescott, Charlotte and
Bayliss, Chris and
Oakley, Chris and
Wright, Joanna and
Wrigley, Stuart and
Song, Xingyi and
Gow-Smith, Edward and
Forcada, Mikel and
Moniz, Helena",
booktitle = "Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 2)",
month = jun,
year = "2024",
address = "Sheffield, UK",
publisher = "European Association for Machine Translation (EAMT)",
url = "https://aclanthology.org/2024.eamt-2.7",
pages = "12--13",
abstract = "This paper describes MAKE-NMTViz, a project designed to help translators visualize neural machine translation outputs using explainable artificial intelligence visualization tools initially developed for computer vision.",
}
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%0 Conference Proceedings
%T The MAKE-NMTViz Project: Meaningful, Accurate and Knowledge-limited Explanations of NMT Systems for Translators
%A Gonzalez-Saez, Gabriela
%A Lopez, Fabien
%A Nakhle, Mariam
%A Turner, James
%A Ballier, Nicolas
%A Dinarelli, Marco
%A Esperança-Rodier, Emmanuelle
%A He, Sui
%A Rossi, Caroline
%A Schwab, Didier
%A Yang, Jun
%Y Scarton, Carolina
%Y Prescott, Charlotte
%Y Bayliss, Chris
%Y Oakley, Chris
%Y Wright, Joanna
%Y Wrigley, Stuart
%Y Song, Xingyi
%Y Gow-Smith, Edward
%Y Forcada, Mikel
%Y Moniz, Helena
%S Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 2)
%D 2024
%8 June
%I European Association for Machine Translation (EAMT)
%C Sheffield, UK
%F gonzalez-saez-etal-2024-make
%X This paper describes MAKE-NMTViz, a project designed to help translators visualize neural machine translation outputs using explainable artificial intelligence visualization tools initially developed for computer vision.
%U https://aclanthology.org/2024.eamt-2.7
%P 12-13
Markdown (Informal)
[The MAKE-NMTViz Project: Meaningful, Accurate and Knowledge-limited Explanations of NMT Systems for Translators](https://aclanthology.org/2024.eamt-2.7) (Gonzalez-Saez et al., EAMT 2024)
ACL
- Gabriela Gonzalez-Saez, Fabien Lopez, Mariam Nakhle, James Turner, Nicolas Ballier, Marco Dinarelli, Emmanuelle Esperança-Rodier, Sui He, Caroline Rossi, Didier Schwab, and Jun Yang. 2024. The MAKE-NMTViz Project: Meaningful, Accurate and Knowledge-limited Explanations of NMT Systems for Translators. In Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 2), pages 12–13, Sheffield, UK. European Association for Machine Translation (EAMT).