Khaya Language Translation and Speech Recognition AI is an app dedicated to translating and transcribing African Languages. Since its release in 2021, the developers, Ghana NLP and Algorine, have strived to ensure the App sees more and more improvement. From user-friendliness to the quality of translations, Khaya AI has continued to improve. Due to consistent hard work, Khaya AI’s Yoruba text translator outperformed Google Translate in 2022.
Building on the success of the App, the developers of the App have augmented its usefulness by adding more African Languages. Overall, the newly added languages will serve over 15 million Africans in Ghana, Burkina Faso, and Kenya – none of whom are presently served by tools like Google Translate.
Previously, Khaya AI provided the world with Twi, Ga, Dagbani, and Yoruba Automatic Speech Recognition (ASR) capabilities and Ga, Ewe, Dagbani, Twi, and Yoruba neural machine learning text translators. In the most recent update, Gurene aka Frafra, a Ghanaian language, and Kikuyu, Kimeru, and Luo (all Kenyan languages), have been added to the text translation system. The developers of Khaya AI collaborated with the Harvard African Language School Professor John Mugane, who is Kenyan, to curate data and train models for the Kenyan languages.Â
This new addition is a testament to Algorine’s and Ghana NLP’s quest to ensure Khaya AI’s relevance remains unparalleled.
Khaya AI’s venture is to help preserve African Languages through advanced technology. Languages are going extinct by the day – this App is a sure way to teach Africans, African Diasporans, and anyone else who wants to learn to understand African languages. This will help ensure their continued use in everyday life.
Check out Khaya AI’s Journey thus far via this link:
Khaya African Language Translation and Speech Recognition AI Demonstrates Major Improvements
You may also be interested in knowing that Khaya was Ghana’s first language translator app:
Ghana’s first Translator App
Download the Khaya App or sign up for an API to integrate it in your own apps: