Neural Machine Translation in Low-Resourced Languages: Case of Dholuo-Swahili Translation

Performance of Transformer-Based Models in Dholuo-Swahili Translation for Low-Resourced Language

Low Resourced Multilingual Neural Machine Translation for Ometo-English

In this paper, we present a new approach to overcome the problem of language resources that share si

Application of Machine Translation in Localization into Low-Resourced Languages

Beyond MLE: Investigating SEARNN for Low-Resourced Neural Machine Translation

Structured prediction tasks, like machine translation, involve learning functions that map structure

Participatory Research for Low-resourced Machine Translation: A Case Study in African Languages

Research in NLP lacks geographic diversity, and the question of how NLP can be scaled to low-resourced languages has not yet been adequately solved. {`}Low-resourced{'}-ness is a complex problem going beyond data availability and reflects systemic problems in socie

A Parallel Corpora for bi-directional Neural Machine Translation for Low Resourced Ethiopian Languages