mlsanityData to 7 Oct 2026

Towards Supervised and Unsupervised Neural Machine Translation Baselines for Nigerian Pidgin

arXiv 2003.12660 ↗First posted 27 Mar 2020cs.CL cs.LGcited by 8

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Abstract (arXiv)

Nigerian Pidgin is arguably the most widely spoken language in Nigeria. Variants of this language are also spoken across West and Central Africa, making it a very important language. This work aims to establish supervised and unsupervised neural machine translation (NMT) baselines between English and Nigerian Pidgin. We implement and compare NMT models with different tokenization methods, creating a solid foundation for future works.

Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). First posted on arXiv 27 Mar 2020.

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Citing papers per year: 2021: 1; 2022: 2; 2023: 2; 2024: 1; 2025: 2.

8 papers.

  1. 2022What a Creole Wants, What a Creole Needscited by 27
  2. 2021On Language Models for Creolescited by 17
  3. 2022Intriguing Properties of Compression on Multilingual Modelscited by 15
  4. 2023How Good are Commercial Large Language Models on African Languages?cited by 8
  5. 2024Implicit Discourse Relation Classification For Nigerian Pidgincited by 6
  6. 2023Low-Resource Cross-Lingual Adaptive Training for Nigerian Pidgincited by 5
  7. 2025Limitations of Religious Data and the Importance of the Target Domain: Towards Machine Translation for Guinea-Bissau Creolecited by 2
  8. 2025Bridging the Gap with Retrieval-Augmented Generation: Making Prosthetic Device User Manuals Available in Marginalised Languagescited by 0