mlsanityData to 14 Oct 2026

Krey`ol-MT: Building MT for Latin American, Caribbean and Colonial African Creole Languages

arXiv 2405.05376 ↗First posted 8 May 2024cs.CLcited by 10

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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
  1. 2019CCAligned: A Massive Collection of Cross-Lingual Web-Document Pairscited by 136
  2. 2022NaijaSenti: A Nigerian Twitter Sentiment Corpus for Multilingual Sentiment Analysiscited by 64
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  17. 2021BitextEdit: Automatic Bitext Editing for Improved Low-Resource Machine Translationcited by 3
  18. 2022Data-adaptive Transfer Learning for Translation: A Case Study in Haitian and Jamaicancited by 3

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 1; 2025: 7; 2026: 2.

10 papers.