Machine Translation for Morphologically Rich Low-Resourced South African Languages

Leveraging Semantic Diffusion for Polysemous Word Disambiguation in Morphologically Rich Low-resourced Languages

Word Sense Disambiguation (WSD) remains one of the most challenging problems in Natural Language Pro

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

Structural Biases for Improving Transformers on Translation into Morphologically Rich Languages

Machine translation has seen rapid progress with the advent of Transformer-based models. These model

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

Part-of-Speech Tagging for Under-Resourced and Morphologically Rich Languages - The Case of Amharic

International audience no abstract

Application of Machine Translation in Localization into Low-Resourced Languages