Contributions in language technologies for African languages

"When this Covid-19 pandemic happened, there was a sudden need to translate basic health tips into many languages. And we couldn't do this with machine translation models, because of the quality," says David Ifeoluwa Adelani, doctoral student in computer science at Saarland University, in a recently published BBC-article on machine translation. According to him, this has shown the need for translation technology that works for low-resource languages, especially in times of need.

David has been building a Yorùbá-English database as part of the Cracking the Language Barrier for a Multilingual Africa project. Congratulations to him and his team on this contribution!

Read more in the BBC-article.