Breaking The Language Barrier For All: Sparsely Gated Moe Models Bridge The Gap In Neural Machine Translation

Machine translation is a critical area within natural language processing that focuses on developing algorithms to automatically translate text from one language to another. Recent advancements in neural machine translation have significantly improved translation accuracy and fluency, with current research focusing on data augmentation techniques and the use of Sparsely Gated Mixture of Experts models to improve translation quality for low-resource languages.