Krey`ol-MT: Building MT for Latin American, Caribbean and Colonial African Creole Languages
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Abstract (arXiv)
A majority of language technologies are tailored for a small number of high-resource languages, while relatively many low-resource languages are neglected. One such group, Creole languages, have long been marginalized in academic study, though their speakers could benefit from machine translation (MT). These languages are predominantly used in much of Latin America, Africa and the Caribbean. We present the largest cumulative dataset to date for Creole language MT, including 14.5M unique Creole sentences with parallel translations -- 11.6M of which we release publicly, and the largest bitexts gathered to date for 41 languages -- the first ever for 21. In addition, we provide MT models supporting all 41 Creole languages in 172 translation directions. Given our diverse dataset, we produce a model for Creole language MT exposed to more genre diversity than ever before, which outperforms a genre-specific Creole MT model on its own benchmark for 26 of 34 translation directions.
Key facts. Cited by 10 papers in the map (data through 14 Oct 2026). Builds on 30 of its 113 references that are in the map. First posted on arXiv 8 May 2024.
Builds on
30 of 113 references.
References · 30
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18 more
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Built on by
Citing papers per year: 2024: 1; 2025: 7; 2026: 2.
10 papers.
- 2025Charting the Landscape of African NLP: Mapping Progress and Shaping the Road Aheadcited by 16
- 2025LAG-MMLU: Benchmarking Frontier LLM Understanding in Latvian and Giriamacited by 2
- 2025Limitations of Religious Data and the Importance of the Target Domain: Towards Machine Translation for Guinea-Bissau Creolecited by 2
- 2024Moly'e: A Corpus-based Approach to Language Contact in Colonial Francecited by 1
- 2025DialUp! Modeling the Language Continuum by Adapting Models to Dialects and Dialects to Modelscited by 1
- 2025Kr'eyoLID From Language Identification Towards Language Miningcited by 0
- 2025Limited-Resource Adapters Are Regularizers, Not Linguistscited by 0
- 2025The Rise of AfricaNLP: A Survey of Contributions, Contributors, Community Impact, and Bibliometric Analysiscited by 0
- 2026The University of Melbourne WMT 2026 CreoleMT Submission: A Domain-Balanced Approach to Low-Resource Pacific Creole Machine Translationcited by 0
- 2026Evaluating Cultural Awareness of LLMs for Haitian Creolecited by 0
- 2026Evaluating Cultural Awareness of LLMs for Haitian Creole25 Sep 2026
- 2026The University of Melbourne WMT 2026 CreoleMT Submission: A Domain-Balanced Approach to Low-Resource Pacific Creole Machine Translation12 Sep 2026
- 2025The Rise of AfricaNLP: A Survey of Contributions, Contributors, Community Impact, and Bibliometric Analysis29 Sep 2025
- 2025Limited-Resource Adapters Are Regularizers, Not Linguists30 May 2025
- 2025Charting the Landscape of African NLP: Mapping Progress and Shaping the Road Ahead27 May 2025
- 2025Limitations of Religious Data and the Importance of the Target Domain: Towards Machine Translation for Guinea-Bissau Creole3 Apr 2025
- 2025LAG-MMLU: Benchmarking Frontier LLM Understanding in Latvian and Giriama14 Mar 2025
- 2025Kr'eyoLID From Language Identification Towards Language Mining9 Mar 2025
- 2025DialUp! Modeling the Language Continuum by Adapting Models to Dialects and Dialects to Models27 Jan 2025
- 2024Moly'e: A Corpus-based Approach to Language Contact in Colonial France8 Aug 2024