mlsanityData to 7 Oct 2026

GhanaNLP Parallel Corpora: Comprehensive Multilingual Resources for Low-Resource Ghanaian Languages

arXiv 2603.13793 ↗First posted 14 Mar 2026cs.CL cs.AIcited by 3

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Abstract (arXiv)

Low resource languages present unique challenges for natural language processing due to the limited availability of digitized and well structured linguistic data. To address this gap, the GhanaNLP initiative has developed and curated 41,513 parallel sentence pairs for the Twi, Fante, Ewe, Ga, and Kusaal languages, which are widely spoken across Ghana yet remain underrepresented in digital spaces. Each dataset consists of carefully aligned sentence pairs between a local language and English. The data were collected, translated, and annotated by human professionals and enriched with standard structural metadata to ensure consistency and usability. These corpora are designed to support research, educational, and commercial applications, including machine translation, speech technologies, and language preservation. This paper documents the dataset creation methodology, structure, intended use cases, and evaluation, as well as their deployment in real world applications such as the Khaya AI translation engine. Overall, this work contributes to broader efforts to democratize AI by enabling inclusive and accessible language technologies for African languages.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 12 of its 43 references that are in the map. First posted on arXiv 14 Mar 2026.

Builds on

12 of 43 references.

References · 12

  1. 2018Datasheets for Datasetscited by 1,371
  2. 2018Model Cards for Model Reportingcited by 1,068
  3. 2022Data Cards: Purposeful and Transparent Dataset Documentation for Responsible AIcited by 169
  4. 2020Participatory Research for Low-resourced Machine Translation: A Case Study in African Languagescited by 159
  5. 2017Natural Language Processing: State of The Art, Current Trends and Challengescited by 114
  6. 2022A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translationcited by 97
  7. 2020Masakhane -- Machine Translation For Africacited by 48
  8. 2022Towards Afrocentric NLP for African Languages: Where We Are and Where We Can Gocited by 46
  9. 2022AfroLID: A Neural Language Identification Tool for African Languagescited by 38
  10. 2022MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognitioncited by 38
  11. 2023MasakhaPOS: Part-of-Speech Tagging for Typologically Diverse African Languagescited by 23
  12. 2025Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptabilitycited by 2

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 3.

3 papers.

  1. 2026Nsanku: Evaluating Zero-Shot Translation Performance of LLMs for Ghanaian Languagescited by 0
  2. 2026Education-centered critical policy analysis of AI: Ghana's AI strategy as a casecited by 0
  3. 2026Benchmarking and Domain Adaptation of Automatic Speech Recognition (ASR) for Adolescent Health Communication in Ghanaian Languagescited by 0