Home > Research > Press > AI in Africa: Teaching a bot to read my mum's t...
View graph of relations

AI in Africa: Teaching a bot to read my mum's texts

Press/Media: Newspaper Article

Description

Fixing the languages gap

African languages are not considered when building NLP applications like voice assistants, image recognition software, traffic alerts systems and others. 

But African researchers are working to eliminate this handicap.

"We are focused on placing Africa on the NLP and AI research map," Dr Ignatius Ezeani, from the University of Lancaster, told the BBC.

Period30/04/2020

Fixing the languages gap

African languages are not considered when building NLP applications like voice assistants, image recognition software, traffic alerts systems and others. 

But African researchers are working to eliminate this handicap.

"We are focused on placing Africa on the NLP and AI research map," Dr Ignatius Ezeani, from the University of Lancaster, told the BBC.

Associated organisational unit

References

TitleAI in Africa: Teaching a bot to read my mum's texts
Media name/outletBBC News
Country/TerritoryUnited Kingdom
Date30/04/20
DescriptionFixing the languages gap
African languages are not considered when building NLP applications like voice assistants, image recognition software, traffic alerts systems and others.
But African researchers are working to eliminate this handicap.
"We are focused on placing Africa on the NLP and AI research map," Dr Ignatius Ezeani, from the University of Lancaster, told the BBC.
"Unless you have your language resources publicly available, free and open, researchers will not have the data for creative solutions on the fly. We will always have to depend on, say, Google to determine the direction of research," Dr Ezeani said.
Producer/AuthorDickens Olewe
PersonsIgnatius Ezeani