Advisor: Dr. M. Kumarasa Machine translation is a sub field of natural language processing that inv
Machine translation (MT) systems are now able to provide very accurate results for high resource language pairs. However, for many low resource languages, MT is still under active research. In this paper, we develop and share a dataset to automatically evaluate the
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
geez-amharic-dictionary is a cross-platform mobile app with develop by react native+expo frame work
International audience no abstract