Machine Translation System

Machine translation (MT) systems aim to automatically translate text between languages, focusing on improving accuracy, fluency, and efficiency. Current research emphasizes refining large language models (LLMs) like transformer-based architectures, often through fine-tuning with specialized datasets or incorporating techniques like back-translation and active learning to address data scarcity, particularly for low-resource languages. These advancements are significant for bridging language barriers in various applications, from international communication and education to cross-lingual information access and resource creation, while also addressing ethical concerns like bias mitigation and privacy preservation.