Neural Machine Translation Model

Neural machine translation (NMT) models aim to automatically translate text between languages using neural networks, primarily focusing on improving translation accuracy and efficiency. Current research emphasizes adapting large language models (LLMs) for specialized domains (e.g., medicine, e-commerce) and low-resource languages, often employing techniques like instruction tuning, knowledge distillation, and data augmentation to enhance performance. These advancements have significant implications for cross-lingual communication, information access, and the development of more robust and reliable translation technologies across diverse applications.