Translation Pipeline

Machine translation pipelines aim to automatically translate text between languages, leveraging advancements in large language models (LLMs) and transformer architectures. Current research focuses on improving translation quality for low-resource languages, handling complex data types with multiple interconnected components, and enhancing explainability and efficiency through techniques like knowledge distillation, hyperparameter optimization, and plug-and-play methods for terminology control. These improvements are significant for broadening access to information across linguistic boundaries and facilitating advancements in diverse fields, including cross-lingual information retrieval and multilingual software development.