Findings from the Bambara - French Machine Translation Competition (BFMT 2023)
Ninoh Agostinho Da Silva, Tunde Oluwaseyi Ajayi, Alexander Antonov, Panga Azazia Kamate, Moussa Coulibaly, Mason Del Rio, Yacouba Diarra, Sebastian Diarra, Chris Emezue, Joel Hamilcaro, Christopher M. Homan, Alexander Most, Joseph Mwatukange, Peter Ohue, Michael Pham, Abdoulaye Sako, Sokhar Samb, Yaya Sy, Tharindu Cyril Weerasooriya, Yacine Zahidi, Sarah Luger
Abstract
Orange Silicon Valley hosted a low-resource machine translation (MT) competition with monetary prizes. The goals of the competition were to raise awareness of the challenges in the low-resource MT domain, improve MT algorithms and data strategies, and support MT expertise development in the regions where people speak Bambara and other low-resource languages. The participants built Bambara to French and French to Bambara machine translation systems using data provided by the organizers and additional data resources shared amongst the competitors. This paper details each team’s different approaches and motivation for ongoing work in Bambara and the broader low-resource machine translation domain.- Anthology ID:
- 2023.loresmt-1.9
- Volume:
- Proceedings of the Sixth Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2023)
- Month:
- May
- Year:
- 2023
- Address:
- Dubrovnik, Croatia
- Editors:
- Atul Kr. Ojha, Chao-hong Liu, Ekaterina Vylomova, Flammie Pirinen, Jade Abbott, Jonathan Washington, Nathaniel Oco, Valentin Malykh, Varvara Logacheva, Xiaobing Zhao
- Venue:
- LoResMT
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 110–122
- Language:
- URL:
- https://aclanthology.org/2023.loresmt-1.9
- DOI:
- 10.18653/v1/2023.loresmt-1.9
- Bibkey:
- Cite (ACL):
- Ninoh Agostinho Da Silva, Tunde Oluwaseyi Ajayi, Alexander Antonov, Panga Azazia Kamate, Moussa Coulibaly, Mason Del Rio, Yacouba Diarra, Sebastian Diarra, Chris Emezue, Joel Hamilcaro, Christopher M. Homan, Alexander Most, Joseph Mwatukange, Peter Ohue, Michael Pham, Abdoulaye Sako, Sokhar Samb, Yaya Sy, Tharindu Cyril Weerasooriya, et al.. 2023. Findings from the Bambara - French Machine Translation Competition (BFMT 2023). In Proceedings of the Sixth Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2023), pages 110–122, Dubrovnik, Croatia. Association for Computational Linguistics.
- Cite (Informal):
- Findings from the Bambara - French Machine Translation Competition (BFMT 2023) (Agostinho Da Silva et al., LoResMT 2023)
- Copy Citation:
- PDF:
- https://aclanthology.org/2023.loresmt-1.9.pdf
- Video:
- https://aclanthology.org/2023.loresmt-1.9.mp4
Export citation
@inproceedings{agostinho-da-silva-etal-2023-findings,
title = "Findings from the {B}ambara - {F}rench Machine Translation Competition ({BFMT} 2023)",
author = "Agostinho Da Silva, Ninoh and
Ajayi, Tunde Oluwaseyi and
Antonov, Alexander and
Azazia Kamate, Panga and
Coulibaly, Moussa and
Del Rio, Mason and
Diarra, Yacouba and
Diarra, Sebastian and
Emezue, Chris and
Hamilcaro, Joel and
Homan, Christopher M. and
Most, Alexander and
Mwatukange, Joseph and
Ohue, Peter and
Pham, Michael and
Sako, Abdoulaye and
Samb, Sokhar and
Sy, Yaya and
Weerasooriya, Tharindu Cyril and
Zahidi, Yacine and
Luger, Sarah",
editor = "Ojha, Atul Kr. and
Liu, Chao-hong and
Vylomova, Ekaterina and
Pirinen, Flammie and
Abbott, Jade and
Washington, Jonathan and
Oco, Nathaniel and
Malykh, Valentin and
Logacheva, Varvara and
Zhao, Xiaobing",
booktitle = "Proceedings of the Sixth Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2023)",
month = may,
year = "2023",
address = "Dubrovnik, Croatia",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.loresmt-1.9",
doi = "10.18653/v1/2023.loresmt-1.9",
pages = "110--122",
abstract = "Orange Silicon Valley hosted a low-resource machine translation (MT) competition with monetary prizes. The goals of the competition were to raise awareness of the challenges in the low-resource MT domain, improve MT algorithms and data strategies, and support MT expertise development in the regions where people speak Bambara and other low-resource languages. The participants built Bambara to French and French to Bambara machine translation systems using data provided by the organizers and additional data resources shared amongst the competitors. This paper details each team{'}s different approaches and motivation for ongoing work in Bambara and the broader low-resource machine translation domain.",
}
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%0 Conference Proceedings %T Findings from the Bambara - French Machine Translation Competition (BFMT 2023) %A Agostinho Da Silva, Ninoh %A Ajayi, Tunde Oluwaseyi %A Antonov, Alexander %A Azazia Kamate, Panga %A Coulibaly, Moussa %A Del Rio, Mason %A Diarra, Yacouba %A Diarra, Sebastian %A Emezue, Chris %A Hamilcaro, Joel %A Homan, Christopher M. %A Most, Alexander %A Mwatukange, Joseph %A Ohue, Peter %A Pham, Michael %A Sako, Abdoulaye %A Samb, Sokhar %A Sy, Yaya %A Weerasooriya, Tharindu Cyril %A Zahidi, Yacine %A Luger, Sarah %Y Ojha, Atul Kr. %Y Liu, Chao-hong %Y Vylomova, Ekaterina %Y Pirinen, Flammie %Y Abbott, Jade %Y Washington, Jonathan %Y Oco, Nathaniel %Y Malykh, Valentin %Y Logacheva, Varvara %Y Zhao, Xiaobing %S Proceedings of the Sixth Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2023) %D 2023 %8 May %I Association for Computational Linguistics %C Dubrovnik, Croatia %F agostinho-da-silva-etal-2023-findings %X Orange Silicon Valley hosted a low-resource machine translation (MT) competition with monetary prizes. The goals of the competition were to raise awareness of the challenges in the low-resource MT domain, improve MT algorithms and data strategies, and support MT expertise development in the regions where people speak Bambara and other low-resource languages. The participants built Bambara to French and French to Bambara machine translation systems using data provided by the organizers and additional data resources shared amongst the competitors. This paper details each team’s different approaches and motivation for ongoing work in Bambara and the broader low-resource machine translation domain. %R 10.18653/v1/2023.loresmt-1.9 %U https://aclanthology.org/2023.loresmt-1.9 %U https://doi.org/10.18653/v1/2023.loresmt-1.9 %P 110-122
Markdown (Informal)
[Findings from the Bambara - French Machine Translation Competition (BFMT 2023)](https://aclanthology.org/2023.loresmt-1.9) (Agostinho Da Silva et al., LoResMT 2023)
- Findings from the Bambara - French Machine Translation Competition (BFMT 2023) (Agostinho Da Silva et al., LoResMT 2023)
ACL
- Ninoh Agostinho Da Silva, Tunde Oluwaseyi Ajayi, Alexander Antonov, Panga Azazia Kamate, Moussa Coulibaly, Mason Del Rio, Yacouba Diarra, Sebastian Diarra, Chris Emezue, Joel Hamilcaro, Christopher M. Homan, Alexander Most, Joseph Mwatukange, Peter Ohue, Michael Pham, Abdoulaye Sako, Sokhar Samb, Yaya Sy, Tharindu Cyril Weerasooriya, et al.. 2023. Findings from the Bambara - French Machine Translation Competition (BFMT 2023). In Proceedings of the Sixth Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2023), pages 110–122, Dubrovnik, Croatia. Association for Computational Linguistics.