MT Model

Machine translation (MT) models aim to automatically translate text between languages, with recent research focusing on leveraging large language models (LLMs) to improve translation quality and efficiency. Current efforts explore integrating LLMs with existing MT models, adapting LLMs for multimodal translation (incorporating images alongside text), and optimizing LLMs for real-time, simultaneous translation. These advancements hold significant promise for enhancing the accuracy and speed of translation across diverse languages and modalities, impacting fields ranging from international communication to multilingual information access.