Linguistic Study

Linguistic research is currently undergoing a transformation driven by the application of machine learning, particularly large language models (LLMs). Key areas of focus include leveraging LLMs to improve language documentation, analyze historical texts, and enhance language learning resources, often employing techniques like fine-tuning and data augmentation to address challenges in low-resource languages. This interdisciplinary approach is yielding new insights into language structure, evolution, and acquisition, while also creating powerful tools for practical applications in fields such as language technology and digital humanities. The resulting advancements are reshaping our understanding of human language and its computational representation.