Neural Machine Translation for South Africa's Official Languages

Domain:

natural language processing

Record type:

paper

Recent advances in neural machine translation (NMT) have led to state-of-the-art results for many European-based translation tasks. However, despite these advances, there is has been little focus in applying these methods to African languages. In this paper, we seek to address this gap by creating an NMT benchmark BLEU score between English and the ten remaining official languages in South Africa.

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Multilingual Neural Machine Translation for Low Resource Languages

Neural Machine Translation (NMT) has been shown to be more effective in translation tasks compared t

Neural Machine Translation for South Africa's Official Languages

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