Benchmarking Neural Machine Translation for Southern African Languages

Understand

Unlike major Western languages, most African languages are very low-resourced.

• Furthermore, the resources that do exist are often scattered and difficult to obtain and discover.
• As a result, the data and code for existing research has rarely been shared.
• This has lead a struggle to reproduce reported results, and few publicly available benchmarks for African machine translation models exist.