  In this paper, we present a seq2seq approach for transliterating missionary
Basaa orthographies into the official orthography. Our model uses pre-trained
Basaa missionary and official orthography corpora using BERT. Since Basaa is a
low-resource language, we have decided to use the mT5 model for our project.
Before training our model, we pre-processed our corpora by eliminating
one-to-one correspondences between spellings and unifying characters variably
containing either one to two characters into single-character form. Our best
mT5 model achieved a CER equal to 12.6747 and a WER equal to 40.1012.
