Understand
Africa has the highest linguistic diversity in the world.
- On account of the importance of language to communication, and the importance of reliable, powerful and accurate machine translation models in modern inter-cultural communication, there have been (and still are) efforts to create state-of-the-art translation models for the many African languages.
- However, the low-resources, diacritical and tonal complexities of African languages are major issues facing African NLP today.
- The FFR is a major step towards creating a robust translation model from Fon, a very low-resource and tonal language, to French, for research and public use.
Built on
The Classification of African Languages
Greenberg, J · 1948
Earlier work this paper cites.
Neural machine translation with attention
Tensorflow Core · 2003
Earlier work this paper cites.
Sequence to Sequence Learning with Neural Networks
Sutskever, Ilya, Vinyals, Oriol and Le, Quoc V · 2014
Earlier work this paper cites.
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Neural machine translation by jointly learning to align and translate
Bahdanau, D., Cho, K. and Bengio, Y · 2015
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Art and Life in Africa Project - Niger-Congo Languages
Bendor-Samuel, J · 2017
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Then
Brownlee, Jason . Deep Learning for Natural Language Processing. Machine Learning Mastery , 2017
2017
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Intuitive Understanding of Attention Mechanism in Deep Learning
Lamba, H · 2020
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