ERROR ANALYSIS OF TIGRINYA– ENGLISH MACHINE TRANSLATION SYSTEMS Poster presented at the Deep Learning Indaba 2023 by Negasi Abadi
Multilingual large language models (mLLMs) have significantly advanced machine translation, yet chal
Parallel Igbo-English Dataset
This paper describes neural machine translation between orthographically and morphologically divergent languages. Amharic has a rich morphology; it uses the syllabic Ethiopic script. We used a new transliteration technique for Amharic to facilitate vocabulary shari
Background: Linguistic barriers between patients and clinicians cause diagnostic error, poor adheren