🚀 What’s Interesting in Low-Resource Language Tech? 🤔 Welcome to our newest monthly series where we showcase recent advancements and insights into low-resource language technology 📲 🌍 For the first episode, Aimee Ansari explores Cheetah, an open-source toolkit developed by UBC-NLP, focusing on Natural Language Processing for African languages. Cheetah is innovative as it provides pre-trained language models, tools for speech recognition, and support for languages that are underrepresented in tech. Cheetah claims to work in 517 African languages, filling a gap in Natural Language Processing models dominated by major languages like English. ❓ However, it raises some questions on ethics such as real world scenarios and potential biases. Watch Aimee's discussion 👇🏽 #LanguageInclusion #LowResourceTech
