Merge branch 'main' into pr/5
Browse files- CHANGELOG.md +5 -3
- README.md +1 -0
- bibliography.bib +25 -0
- dataset_cards/kir_Cyrl.md +58 -0
- seed/kir_Cyrl.parquet +3 -0
CHANGELOG.md
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1. Any updates to pre-existing files shall entail a major version bump.
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2. The inclusion of a new language, without changes to other pre-existing data, shall only entail a minor version bump.
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## [3.0] - 2025-11-
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## [2.0] - 2024-11-08
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1. Any updates to pre-existing files shall entail a major version bump.
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2. The inclusion of a new language, without changes to other pre-existing data, shall only entail a minor version bump.
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## [3.0] - 2025-11-07
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- Participants to the [WMT25 Shared Task](https://www2.statmt.org/wmt25/open-data.html) contributed multiple imprivements. Many thanks to all the contributors! Please don't forget to cite the relevant papers listed in [bibliography.bib](bibliography.bib).
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- Added `fra_Latn` (see [Marmonier et al, 2025](https://aclanthology.org/2025.wmt-1.80/))
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- Added `kyr_Cyrl` (see [Jumashev et al, 2025](https://aclanthology.org/2025.wmt-1.84/))
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- Updated about half of `zgh_Tfng` texts (see [Oktem et al, 2025](https://aclanthology.org/2025.wmt-1.82/))
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## [2.0] - 2024-11-08
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README.md
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| `ita` | `Latn` | `ital1282` | Italian | |
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| `kas` | `Arab` | `kash1277` | Kashmiri (Arabic script) | |
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| `kas` | `Deva` | `kash1277` | Kashmiri (Devanagari script) | |
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| `knc` | `Arab` | `cent2050` | Central Kanuri (Arabic script) | |
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| `knc` | `Latn` | `cent2050` | Central Kanuri (Latin script) | |
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| `lij` | `Latn` | `geno1240` | Ligurian (Genoese) | |
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| `ita` | `Latn` | `ital1282` | Italian | |
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| `kas` | `Arab` | `kash1277` | Kashmiri (Arabic script) | |
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| `kas` | `Deva` | `kash1277` | Kashmiri (Devanagari script) | |
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| `kir` | `Cyrl` | `kirg1245` | Kyrgyz | |
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| `knc` | `Arab` | `cent2050` | Central Kanuri (Arabic script) | |
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| `knc` | `Latn` | `cent2050` | Central Kanuri (Latin script) | |
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| `lij` | `Latn` | `geno1240` | Ligurian (Genoese) | |
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bibliography.bib
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ISBN = "979-8-89176-341-8",
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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."
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}
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% for Tamazight corrections
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@inproceedings{oktem-etal-2025-correcting,
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ISBN = "979-8-89176-341-8",
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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."
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}
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% for Kyrgyz
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@inproceedings{jumashev-etal-2025-kyrgyz,
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title = "The {K}yrgyz Seed Dataset Submission to the {WMT}25 Open Language Data Initiative Shared Task",
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author = "Jumashev, Murat and
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Tillabaeva, Alina and
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Kasieva, Aida and
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Omurkanov, Turgunbek and
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Musaeva, Akylai and
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Emil Kyzy, Meerim and
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Chagataeva, Gulaiym and
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Washington, Jonathan",
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editor = "Haddow, Barry and
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Kocmi, Tom and
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Koehn, Philipp and
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Monz, Christof",
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booktitle = "Proceedings of the Tenth Conference on Machine Translation",
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month = nov,
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year = "2025",
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address = "Suzhou, China",
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publisher = "Association for Computational Linguistics",
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url = "https://aclanthology.org/2025.wmt-1.84/",
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pages = "1088--1102",
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ISBN = "979-8-89176-341-8",
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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."
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}
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@inproceedings{oktem-etal-2025-correcting,
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dataset_cards/kir_Cyrl.md
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# Dataset card
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## Description
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<!-- A concise description of the data associated with this card. -->
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Open source Seed dataset in Kyrgyz (Кыргыз тили, Кыргызча)
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## License
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<!-- Contributions to existing datasets must be released under the same license as the parent dataset. For completely new contributions, we encourage the use of an open license. At a minimum, data should be made available for research use. Please specify the license using an SPDX license identifier. -->
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CC-BY-SA-4.0
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## Attribution
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<!-- Who should be credited for creating this dataset? Feel free to include citation data in BibTeX format. -->
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```bibtex
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@inproceedings{jumashev-etal-2025-kyrgyz,
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title = "The {K}yrgyz Seed Dataset Submission to the {WMT}25 Open Language Data Initiative Shared Task",
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author = "Jumashev, Murat and
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Tillabaeva, Alina and
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Kasieva, Aida and
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Omurkanov, Turgunbek and
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Musaeva, Akylai and
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Emil Kyzy, Meerim and
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Chagataeva, Gulaiym and
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Washington, Jonathan",
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editor = "Haddow, Barry and
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Kocmi, Tom and
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Koehn, Philipp and
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Monz, Christof",
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booktitle = "Proceedings of the Tenth Conference on Machine Translation",
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month = nov,
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year = "2025",
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address = "Suzhou, China",
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publisher = "Association for Computational Linguistics",
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url = "https://aclanthology.org/2025.wmt-1.84/",
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pages = "1088--1102",
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ISBN = "979-8-89176-341-8",
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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."
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}
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```
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See the paper "The Kyrgyz Seed Dataset Submission to the WMT25 Open Language Data Initiative Shared Task" at https://aclanthology.org/2025.wmt-1.84/.
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## Language codes
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<!-- * If this language is assigned an ISO 639-3 individual language code (not a macrolanguage code), specify it here. * Please specify the script this language is written in using an ISO 15924 code. * If this language is assigned a Glottocode, please specify it here. -->
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* ISO 639-3: kir
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* ISO 15924: Cyrl
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* Glottocode: kirg1245
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## Additional language information
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We used el-sozduk.kg, which provides multiple dictionaries including Kyrgyz-English, Kyrgyz-Russian, English-Kyrgyz, and Russian-Kyrgyz. Since Kazakh and Kyrgyz are highly mutually intelligible, we also consulted sozdik.kz (a Kazakh dictionary) to assist with translations and cross-checking. In addition, we used other English-to-Turkic language dictionaries to further inform our translations. Russian was frequently used as an intermediary language, both for dictionary lookups (e.g., via multitran.com for English-Russian) and for clarifying meanings between English and Kyrgyz or other Turkic languages.
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## Workflow
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Our translation team included six native Kyrgyz speakers: two experienced translators and two students from the Kyrgyz-English Language Program at Kyrgyz-Turkish Manas University. We followed the OLDI (2025) guidelines. The workflow had four stages: (1) machine translation using Aitil (https://translate.mamtil.gov.kg/), a Gemma3-based MT service fine-tuned by Ulut Soft LLC, (2) manual correction by individual translators, (3) team terminology unification, and (4) cross-validation and peer review to ensure accuracy and consistency.
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## Additional guidelines
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We created a supplementary list of terms—an English-to-Kyrgyz mini-dictionary—for words and expressions that could not be found in any existing English-Kyrgyz or Russian-Kyrgyz dictionaries. This resource is available in the paper's repository: https://github.com/kyrgyz-nlp/oldi-dataset-experiments/blob/main/mini-dictionary.txt
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Terminology consultation and review were led by one of the co-authors, Assoc. Prof.Dr. Aida Kasieva, Department of Simultaneous Translation, Faculty of Humanities of the Kyrgyz-Turkish Manas University. Her expertise ensured the accuracy and consistency of specialized vocabulary throughout the dataset.
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seed/kir_Cyrl.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:c35c51922218bfc9e56ee85824ddc22ed73fa39f04a3f87fdeb19f1893b937ee
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size 883249
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