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Towards Supervised and Unsupervised Neural Machine Translation Baselines for Nigerian Pidgin

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arxiv 2003.12660 v1 pith:YG45AFMM submitted 2020-03-27 cs.CL cs.LG

Orevaoghene Ahia , Kelechi Ogueji This is my paper · ORCID
classification cs.CLcs.LG
keywords languagenigerianpidginbaselinesmachineneuralspokensupervised
verification ladder T0 review T1 audit T2 compute T3 formal
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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.

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  1. Bridging the Gap with Retrieval-Augmented Generation: Making Prosthetic Device User Manuals Available in Marginalised Languages

    cs.LG 2025-06 reject novelty 2.0 of 10

    A proposed RAG-based framework for translating prosthetic device manuals into marginalised languages is described, but no results are presented.

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