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Towards Supervised and Unsupervised Neural Machine Translation Baselines for Nigerian Pidgin

2020-03-27 22:40:01
Orevaoghene Ahia, Kelechi Ogueji
arXiv_CL
     
Abstract

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.

Abstract (translated)

URL

https://arxiv.org/abs/2003.12660

PDF

https://arxiv.org/pdf/2003.12660.pdf

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