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インサイト - Neural Machine Translation for Low-Resource Languages
Enhancing Neural Machine Translation of Low-Resource Languages: Corpus Development, Human Evaluation, and Explainable AI Architectures
The author explores the challenges and solutions in enhancing Neural Machine Translation for low-resource languages, focusing on English-to-Irish translation.
Improving Neural Machine Translation for Low-Resource Languages: A Case Study on Bavarian
Developing state-of-the-art neural machine translation systems between German (high-resource) and Bavarian (low-resource) by leveraging techniques like back-translation and transfer learning to combat data scarcity and improve translation performance.
