Neural machine translation for extremely low-resource African languages: A case study on Bambara
Low-resource languages present unique challenges to (neural) machine translation. We
discuss the case of Bambara, a Mande language for which training data is scarce and …
discuss the case of Bambara, a Mande language for which training data is scarce and …
Domain-specific MT for low-resource languages: The case of Bambara-French
Translating to and from low-resource languages is a challenge for machine translation (MT)
systems due to a lack of parallel data. In this paper we address the issue of domain-specific …
systems due to a lack of parallel data. In this paper we address the issue of domain-specific …
Artificial intelligence-based evaluation of infectious disease imaging: A COVID-19 perspective
L Fan, J Shi, N Shi, W Tu, Y Bian, X Zhou… - Artificial Intelligence in …, 2022 - Springer
Artificial intelligence (AI) is increasingly being used in medical imaging. The application of AI
in infectious disease is just ongoing, propelled forward because of the outbreak of COVID …
in infectious disease is just ongoing, propelled forward because of the outbreak of COVID …
[PDF][PDF] Advancements in Natural Language Understanding-Driven Machine Translation: Focus on English and the Low Resource Dialectal Lusoga
A Wasike, I Kamukama, YA Aleshinloye, AR Ajiboye… - researchgate.net
This review explores recent advancements in Natural Language Understanding-driven
Machine Translation (NLU-MT) with a focus on English and the low-resource dialectal …
Machine Translation (NLU-MT) with a focus on English and the low-resource dialectal …