International audience Machine translation (MT) between English and Amharic is one of
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
The dataset contains source sentences in Amharic and English and their corresponding reference translations that were collected using crowd sourcing. These ground-truth sentences are from across different domains such as news headlines, social media, Wikipedia and
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
A JavaScript-based converter for transliterating Amharic text into Latin characters # Amharic trans
A Laravel package for dual-way Amharic to English transliteration. Effortlessly convert Amharic scri