A deep dive into gemination, the unwritten yet critical linguistic feature of Amharic that changes word meanings through subtle consonant lengthening, posing a major challenge for AI.
A deep dive into one of Amharic NLP's central debates: Should we normalize homophones for simplicity, or preserve them for semantic accuracy? The answer is more complex than you think.
A look at the growing ecosystem of Amharic NLP resources, the systemic challenges that remain, and the collaborative path forward for building truly effective AI.
A look into the complex challenges of Amharic speech recognition, from its massive vocabulary and invisible gemination to code-switching and dialectal diversity.
Discover the art and science behind Amharic Text-to-Speech (TTS), where the biggest challenges lie in modeling invisible prosody, gemination, and phonetic details.
A developer's guide to the state of core Amharic NLP tasks like Text Classification, Named Entity Recognition (NER), and Machine Translation (MT).
An introduction to the unique challenges and exciting future of Natural Language Processing for Amharic, a language spoken by millions but underserved by modern AI.
Explore the unique challenges of Amharic Optical Character Recognition (OCR), from its 300+ character set to degraded historical documents and handwritten text.
A developer-focused guide to Amharic's unique linguistic features: its 300+ character script, invisible gemination, complex honorifics, and rich morphology.
Learn how to contribute your voice to Mozilla Common Voice and other initiatives to improve Amharic AI capabilities for everyone.
