Language Structure

Language structure research focuses on understanding how linguistic elements combine to form meaningful units, aiming to model and explain the underlying principles governing sentence formation and meaning. Current research emphasizes leveraging multimodal data (images, code, other languages) and advanced architectures like transformers and energy-based models to improve language parsing, particularly in morphologically complex languages and cross-lingual settings. These advancements are crucial for improving machine translation, natural language understanding, and the development of more robust and efficient AI systems for various applications, including document AI and automated theorem proving.