NMT System

Neural Machine Translation (NMT) systems aim to automatically translate text between languages, focusing on improving accuracy and efficiency. Current research emphasizes enhancing NMT performance through various techniques, including leveraging large language models for cooperative decoding, improving data generation for back-translation, and employing novel architectures like Mixture of Experts models for direct translation between non-English language pairs. These advancements are significant because they address limitations in data availability and improve translation quality, particularly for low-resource languages, impacting fields like cross-lingual communication and information access.