Phoneme-based English-Amharic Statistical Machine Translation
Mulu Gebreegziabher Teshome, Laurent Besacier, Girma Taye, Dereje Teferi · 2015
This research considers the application of Statistical method to automatic Machine Translation (MT) from English to Amharic. The research focuses on improving the translation quality by applying phonemic transcription on the target side, which is Amharic. Accordingly, the BLEU score results for the phoneme-based EASMT system is 37.53% a gain of 2.21 BLEU point from another baseline phrase-based EASMT with a BLEU score result of 35.32%. This clearly shows that phoneme-based translation outperforms the baseline system.