Geographical Distance Is The New Hyperparameter: A Case Study Of Finding The Optimal Pre-trained Language For English-isiZulu Machine Translation. (arXiv:2205.08621v1 [cs.CL])

Stemming from the limited availability of datasets and textual resources for
low-resource languages such as isiZulu, there is a significant need to be able
to harness knowledge from pre-trained models to improve low resource machine
translation. Moreover, a lack of techniques to handle the complexities of
morphologically rich languages has compounded the unequal development of
translation models, with many widely spoken African languages being left
behind. This study explores the potential benefits of transfer learning in an
English-isiZulu translation framework. …

arxiv case case study language machine machine translation study translation