Findings of the WMT 2022 Shared Task on Chat Translation
Ana C Farinha, M. Amin Farajian, Marianna Buchicchio, Patrick Fernandes, José G. C. de Souza, Helena Moniz, André F. T. Martins
Correct Metadata for
Abstract
This paper reports the findings of the second edition of the Chat Translation Shared Task. Similarly to the previous WMT 2020 edition, the task consisted of translating bilingual customer support conversational text. However, unlike the previous edition, in which the bilingual data was created from a synthetic monolingual English corpus, this year we used a portion of the newly released Unbabel’s MAIA corpus, which contains genuine bilingual conversations between agents and customers. We also expanded the language pairs to English↔German (en↔de), English↔French (en↔fr), and English↔Brazilian Portuguese (en↔pt-br).Given that the main goal of the shared task is to translate bilingual conversations, participants were encouraged to train and test their models specifically for this environment. In total, we received 18 submissions from 4 different teams. All teams participated in both directions of en↔de. One of the teams also participated in en↔fr and en↔pt-br. We evaluated the submissions with automatic metrics as well as human judgments via Multidimensional Quality Metrics (MQM) on both directions. The official ranking of the systems is based on the overall MQM scores of the participating systems on both directions, i.e. agent and customer.- Anthology ID:
- 2022.wmt-1.70
- Volume:
- Proceedings of the Seventh Conference on Machine Translation (WMT)
- Month:
- December
- Year:
- 2022
- Address:
- Abu Dhabi, United Arab Emirates (Hybrid)
- Editors:
- Philipp Koehn, Loïc Barrault, Ondřej Bojar, Fethi Bougares, Rajen Chatterjee, Marta R. Costa-jussà, Christian Federmann, Mark Fishel, Alexander Fraser, Markus Freitag, Yvette Graham, Roman Grundkiewicz, Paco Guzman, Barry Haddow, Matthias Huck, Antonio Jimeno Yepes, Tom Kocmi, André Martins, Makoto Morishita, Christof Monz, Masaaki Nagata, Toshiaki Nakazawa, Matteo Negri, Aurélie Névéol, Mariana Neves, Martin Popel, Marco Turchi, Marcos Zampieri
- Venue:
- WMT
- SIG:
- SIGMT
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 724–743
- Language:
- URL:
- https://aclanthology.org/2022.wmt-1.70/
- DOI:
- Bibkey:
- Cite (ACL):
- Ana C Farinha, M. Amin Farajian, Marianna Buchicchio, Patrick Fernandes, José G. C. de Souza, Helena Moniz, and André F. T. Martins. 2022. Findings of the WMT 2022 Shared Task on Chat Translation. In Proceedings of the Seventh Conference on Machine Translation (WMT), pages 724–743, Abu Dhabi, United Arab Emirates (Hybrid). Association for Computational Linguistics.
- Cite (Informal):
- Findings of the WMT 2022 Shared Task on Chat Translation (Farinha et al., WMT 2022)
- Copy Citation:
- PDF:
- https://aclanthology.org/2022.wmt-1.70.pdf
Export citation
@inproceedings{farinha-etal-2022-findings,
title = "Findings of the {WMT} 2022 Shared Task on Chat Translation",
author = "Farinha, Ana C and
Farajian, M. Amin and
Buchicchio, Marianna and
Fernandes, Patrick and
C. de Souza, Jos{\'e} G. and
Moniz, Helena and
Martins, Andr{\'e} F. T.",
editor = {Koehn, Philipp and
Barrault, Lo{\"i}c and
Bojar, Ond{\v{r}}ej and
Bougares, Fethi and
Chatterjee, Rajen and
Costa-juss{\`a}, Marta R. and
Federmann, Christian and
Fishel, Mark and
Fraser, Alexander and
Freitag, Markus and
Graham, Yvette and
Grundkiewicz, Roman and
Guzman, Paco and
Haddow, Barry and
Huck, Matthias and
Jimeno Yepes, Antonio and
Kocmi, Tom and
Martins, Andr{\'e} and
Morishita, Makoto and
Monz, Christof and
Nagata, Masaaki and
Nakazawa, Toshiaki and
Negri, Matteo and
N{\'e}v{\'e}ol, Aur{\'e}lie and
Neves, Mariana and
Popel, Martin and
Turchi, Marco and
Zampieri, Marcos},
booktitle = "Proceedings of the Seventh Conference on Machine Translation (WMT)",
month = dec,
year = "2022",
address = "Abu Dhabi, United Arab Emirates (Hybrid)",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.wmt-1.70/",
pages = "724--743",
abstract = "This paper reports the findings of the second edition of the Chat Translation Shared Task. Similarly to the previous WMT 2020 edition, the task consisted of translating bilingual customer support conversational text. However, unlike the previous edition, in which the bilingual data was created from a synthetic monolingual English corpus, this year we used a portion of the newly released Unbabel`s MAIA corpus, which contains genuine bilingual conversations between agents and customers. We also expanded the language pairs to English{\ensuremath{\leftrightarrow}}German (en{\ensuremath{\leftrightarrow}}de), English{\ensuremath{\leftrightarrow}}French (en{\ensuremath{\leftrightarrow}}fr), and English{\ensuremath{\leftrightarrow}}Brazilian Portuguese (en{\ensuremath{\leftrightarrow}}pt-br).Given that the main goal of the shared task is to translate bilingual conversations, participants were encouraged to train and test their models specifically for this environment. In total, we received 18 submissions from 4 different teams. All teams participated in both directions of en{\ensuremath{\leftrightarrow}}de. One of the teams also participated in en{\ensuremath{\leftrightarrow}}fr and en{\ensuremath{\leftrightarrow}}pt-br. We evaluated the submissions with automatic metrics as well as human judgments via Multidimensional Quality Metrics (MQM) on both directions. The official ranking of the systems is based on the overall MQM scores of the participating systems on both directions, i.e. agent and customer."
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%0 Conference Proceedings %T Findings of the WMT 2022 Shared Task on Chat Translation %A Farinha, Ana C. %A Farajian, M. Amin %A Buchicchio, Marianna %A Fernandes, Patrick %A C. de Souza, José G. %A Moniz, Helena %A Martins, André F. T. %Y Koehn, Philipp %Y Barrault, Loïc %Y Bojar, Ondřej %Y Bougares, Fethi %Y Chatterjee, Rajen %Y Costa-jussà, Marta R. %Y Federmann, Christian %Y Fishel, Mark %Y Fraser, Alexander %Y Freitag, Markus %Y Graham, Yvette %Y Grundkiewicz, Roman %Y Guzman, Paco %Y Haddow, Barry %Y Huck, Matthias %Y Jimeno Yepes, Antonio %Y Kocmi, Tom %Y Martins, André %Y Morishita, Makoto %Y Monz, Christof %Y Nagata, Masaaki %Y Nakazawa, Toshiaki %Y Negri, Matteo %Y Névéol, Aurélie %Y Neves, Mariana %Y Popel, Martin %Y Turchi, Marco %Y Zampieri, Marcos %S Proceedings of the Seventh Conference on Machine Translation (WMT) %D 2022 %8 December %I Association for Computational Linguistics %C Abu Dhabi, United Arab Emirates (Hybrid) %F farinha-etal-2022-findings %X This paper reports the findings of the second edition of the Chat Translation Shared Task. Similarly to the previous WMT 2020 edition, the task consisted of translating bilingual customer support conversational text. However, unlike the previous edition, in which the bilingual data was created from a synthetic monolingual English corpus, this year we used a portion of the newly released Unbabel‘s MAIA corpus, which contains genuine bilingual conversations between agents and customers. We also expanded the language pairs to English\ensuremathłeftrightarrowGerman (en\ensuremathłeftrightarrowde), English\ensuremathłeftrightarrowFrench (en\ensuremathłeftrightarrowfr), and English\ensuremathłeftrightarrowBrazilian Portuguese (en\ensuremathłeftrightarrowpt-br).Given that the main goal of the shared task is to translate bilingual conversations, participants were encouraged to train and test their models specifically for this environment. In total, we received 18 submissions from 4 different teams. All teams participated in both directions of en\ensuremathłeftrightarrowde. One of the teams also participated in en\ensuremathłeftrightarrowfr and en\ensuremathłeftrightarrowpt-br. We evaluated the submissions with automatic metrics as well as human judgments via Multidimensional Quality Metrics (MQM) on both directions. The official ranking of the systems is based on the overall MQM scores of the participating systems on both directions, i.e. agent and customer. %U https://aclanthology.org/2022.wmt-1.70/ %P 724-743
Markdown (Informal)
[Findings of the WMT 2022 Shared Task on Chat Translation](https://aclanthology.org/2022.wmt-1.70/) (Farinha et al., WMT 2022)
- Findings of the WMT 2022 Shared Task on Chat Translation (Farinha et al., WMT 2022)
ACL
- Ana C Farinha, M. Amin Farajian, Marianna Buchicchio, Patrick Fernandes, José G. C. de Souza, Helena Moniz, and André F. T. Martins. 2022. Findings of the WMT 2022 Shared Task on Chat Translation. In Proceedings of the Seventh Conference on Machine Translation (WMT), pages 724–743, Abu Dhabi, United Arab Emirates (Hybrid). Association for Computational Linguistics.