% Original NLLB paper (Nature version)
@article{nllb-24,
    author="{NLLB Team} and Costa-juss{\`a}, Marta R. and Cross, James and {\c{C}}elebi, Onur and Elbayad, Maha and Heafield, Kenneth and Heffernan, Kevin and Kalbassi, Elahe and Lam, Janice and Licht, Daniel and Maillard, Jean and Sun, Anna and Wang, Skyler and Wenzek, Guillaume and Youngblood, Al and Akula, Bapi and Barrault, Loic and Gonzalez, Gabriel Mejia and Hansanti, Prangthip and Hoffman, John and Jarrett, Semarley and Sadagopan, Kaushik Ram and Rowe, Dirk and Spruit, Shannon and Tran, Chau and Andrews, Pierre and Ayan, Necip Fazil and Bhosale, Shruti and Edunov, Sergey and Fan, Angela and Gao, Cynthia and Goswami, Vedanuj and Guzm{\'a}n, Francisco and Koehn, Philipp and Mourachko, Alexandre and Ropers, Christophe and Saleem, Safiyyah and Schwenk, Holger and Wang, Jeff",
    title="Scaling neural machine translation to 200 languages",
    journal="Nature",
    year="2024",
    month="Jun",
    day="01",
    volume="630",
    number="8018",
    pages="841--846",
    issn="1476-4687",
    doi="10.1038/s41586-024-07335-x",
    url="https://doi.org/10.1038/s41586-024-07335-x"
}

% Follow-up paper about Seed datasets
@inproceedings{seed-23,
    title = {Small Data, Big Impact: Leveraging Minimal Data for Effective Machine Translation},
    author = {Maillard, Jean and Gao, Cynthia and Kalbassi, Elahe and Sadagopan, Kaushik Ram and Goswami, Vedanuj and Koehn, Philipp and Fan, Angela and Guzmán, Francisco},
    booktitle = {Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
    year = {2023},
    address = {Toronto, Canada},
    publisher = {Association for Computational Linguistics},
    pages = {2740--2756},
    url = {https://aclanthology.org/2023.acl-long.154},
}

% For N’Ko support and the realigned datasets
@InProceedings{mt4nko-23,
    title = {Machine Translation for Nko: Tools, Corpora, and Baseline Results},
    author = {Doumbouya, Moussa and Diané, Baba Mamadi and Cissé, Solo Farabado and Diané, Djibrila and Sow, Abdoulaye and Doumbouya, Séré Moussa and Bangoura, Daouda and Bayo, Fodé Moriba and Condé, Ibrahima Sory 2. and Diané, Kalo Mory and Piech, Chris and Manning, Christopher},
    booktitle = {Proceedings of the Eighth Conference on Machine Translation},
    year = {2023},
    address = {Singapore},
    publisher = {Association for Computational Linguistics},
    pages = {312--343},
    url = {https://aclanthology.org/2023.wmt-1.34}
}

% OLDI WMT24 Shared Task
@inproceedings{wmt24-oldi,
    title="Findings of the WMT 2024 Shared Task of the Open Language Data Initiative",
    author="Laurie V. Burchell and Jean Maillard and Antonios Anastasopoulos and Christian Federmann and Philipp Koehn and Skyler Wang",
    booktitle = "Proceedings of the Ninth Conference on Machine Translation",
    month = nov,
    year = "2024",
    address = "Miami, USA",
    publisher = "Association for Computational Linguistics"
}

% For Bangla/Bengali
@inproceedings{wmt24-seed-bangla,
    title="The {Bangla/Bengali} Seed Dataset Submission to the {WMT24} Open Language Data Initiative Shared Task",
    author="Firoz Ahmed and Nitin Venkateswaran and Sarah Moeller",
    booktitle = "Proceedings of the Ninth Conference on Machine Translation",
    month = nov,
    year = "2024",
    address = "Miami, USA",
    publisher = "Association for Computational Linguistics"
}

% For Italian
@inproceedings{wmt24-seed-italian,
    title="A high-quality Seed dataset for {Italian} machine translation",
    author="Edoardo Ferrante",
    booktitle = "Proceedings of the Ninth Conference on Machine Translation",
    month = nov,
    year = "2024",
    address = "Miami, USA",
    publisher = "Association for Computational Linguistics"
}

% For Latin American Spanish
@inproceedings{wmt24-seed-spanish,
    title="Spanish Corpus and Provenance with Computer-Aided Translation for the {WMT24} {OLDI} Shared Task",
    author="Jose Cols",
    booktitle = "Proceedings of the Ninth Conference on Machine Translation",
    month = nov,
    year = "2024",
    address = "Miami, USA",
    publisher = "Association for Computational Linguistics"
}

% for French
@inproceedings{marmonier-etal-2025-french,
    title = "A {F}rench Version of the {OLDI} Seed Corpus",
    author = "Marmonier, Malik  and
      Sagot, Beno{\^i}t  and
      Bawden, Rachel",
    editor = "Haddow, Barry  and
      Kocmi, Tom  and
      Koehn, Philipp  and
      Monz, Christof",
    booktitle = "Proceedings of the Tenth Conference on Machine Translation",
    month = nov,
    year = "2025",
    address = "Suzhou, China",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2025.wmt-1.80/",
    pages = "1048--1060",
    ISBN = "979-8-89176-341-8",
    abstract = "We present the first French partition of the OLDI Seed Corpus, our submission to the WMT 2025 Open Language Data Initiative (OLDI) shared task. We detail its creation process, which involved using multiple machine translation systems and a custom-built interface for post-editing by qualified native speakers. We also highlight the unique translation challenges presented by the source data, which combines highly technical, encyclopedic terminology with the stylistic irregularities characteristic of user-generated content taken from Wikipedia. This French corpus is not an end in itself, but is intended as a crucial pivot resource to facilitate the collection of parallel corpora for the under-resourced regional languages of France."
}
% for Kyrgyz
@inproceedings{jumashev-etal-2025-kyrgyz,
    title = "The {K}yrgyz Seed Dataset Submission to the {WMT}25 Open Language Data Initiative Shared Task",
    author = "Jumashev, Murat  and
      Tillabaeva, Alina  and
      Kasieva, Aida  and
      Omurkanov, Turgunbek  and
      Musaeva, Akylai  and
      Emil Kyzy, Meerim  and
      Chagataeva, Gulaiym  and
      Washington, Jonathan",
    editor = "Haddow, Barry  and
      Kocmi, Tom  and
      Koehn, Philipp  and
      Monz, Christof",
    booktitle = "Proceedings of the Tenth Conference on Machine Translation",
    month = nov,
    year = "2025",
    address = "Suzhou, China",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2025.wmt-1.84/",
    pages = "1088--1102",
    ISBN = "979-8-89176-341-8",
    abstract = "We present a Kyrgyz language seed dataset as part of our contribution to the WMT25 Open Language Data Initiative (OLDI) shared task. This paper details the process of collecting and curating English{--}Kyrgyz translations, highlighting the main challenges encountered in translating into a morphologically rich, low-resource language. We demonstrate the quality of the dataset through fine-tuning experiments, showing consistent improvements in machine translation performance across multiple models. Comparisons with bilingual and MNMT Kyrgyz-English baselines reveal that, for some models, our dataset enables performance surpassing pretrained baselines in both English{--}Kyrgyz and Kyrgyz{--}English translation directions. These results validate the dataset{'}s utility and suggest that it can serve as a valuable resource for the Kyrgyz MT community and other related low-resource languages."
}

% for Tamazight corrections
@inproceedings{oktem-etal-2025-correcting,
    title = "Correcting the Tamazight Portions of {FLORES}+ and {OLDI} Seed Datasets",
    author = "Oktem, Alp  and
      Farhi, Mohamed Aymane  and
      Essaidi, Brahim  and
      Jabouja, Naceur  and
      Boudichat, Farida",
    editor = "Haddow, Barry  and
      Kocmi, Tom  and
      Koehn, Philipp  and
      Monz, Christof",
    booktitle = "Proceedings of the Tenth Conference on Machine Translation",
    month = nov,
    year = "2025",
    address = "Suzhou, China",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2025.wmt-1.82/",
    pages = "1072--1080",
    ISBN = "979-8-89176-341-8",
    abstract = "We present the manual correction of the Tamazight portions of the FLORES+ and OLDI Seed datasets to improve the quality of open machine translation resources for the language. These widely used reference corpora contained numerous issues, including mistranslations, orthographic inconsistencies, overuse of loanwords, and non-standard transliterations. Overall, 36{\%} of FLORES+ and 40{\%} of Seed sentences were corrected by expert linguists, with average token divergence of 19{\%} and 25{\%} among changed items. Evaluation of multiple MT systems, including NLLB models and commercial LLM services, showed consistent gains in automated evaluation metrics when using the corrected data. Fine-tuning NLLB-600M on the revised Seed corpus yielded improvements of +6.05 chrF (en{\textrightarrow}zgh) and +2.32 (zgh{\textrightarrow}en), outperforming larger parameter models and LLM providers in en{\textrightarrow}zgh direction."
}