Machine Translation for Nko: Tools, Corpora and Baseline Results

Moussa Koulako Bala Doumbouya, Baba Mamadi Diané, Solo Farabado Cissé, Djibrila Diané, Abdoulaye Sow +7 more
10/24/2023
cs.CLcs.CYcs.HC

No official code found. Best implementation: common-parallel-corpora/friallel (0 stars, MIT, last commit 2026-01-17).

Abstract

Currently, there is no usable machine translation system for Nko, a language spoken by tens of millions of people across multiple West African countries, which holds significant cultural and educational value. To address this issue, we present a set of tools, resources, and baseline results aimed towards the development of usable machine translation systems for Nko and other languages that do not currently have sufficiently large parallel text corpora available. (1) Fria$\parallel$el: A novel collaborative parallel text curation software that incorporates quality control through copyedit-based workflows. (2) Expansion of the FLoRes-200 and NLLB-Seed corpora with 2,009 and 6,193 high-quality Nko translations in parallel with 204 and 40 other languages. (3) nicolingua-0005: A collection of trilingual and bilingual corpora with 130,850 parallel segments and monolingual corpora containing over 3 million Nko words. (4) Baseline bilingual and multilingual neural machine translation results with the best model scoring 30.83 English-Nko chrF++ on FLoRes-devtest.

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@article{doumbouya2023machine,
  title  = {Machine Translation for Nko: Tools, Corpora and Baseline Results},
  author = {Moussa Koulako Bala Doumbouya and Baba Mamadi Diané and Solo Farabado Cissé and Djibrila Diané and Abdoulaye Sow and Séré Moussa Doumbouya and Daouda Bangoura and Fodé Moriba Bayo and Ibrahima Sory 2. Condé and Kalo Mory Diané and Chris Piech and Christopher Manning},
  year   = {2023},
  eprint = {2310.15612},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2310.15612v3}
}

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