Modern Social Science Research

Children’s language disorders mainly include developmental language disorders (DLD), specific language disorders (SLI), and language disorders related to autism spectrum disorder (ASD), etc. Language disorders are a common problem in children’s language development, manifested as a significant lag in language comprehension or expression abilities, as well as obstacles in communication processes. According to the World Health Organization, about 6% to 8% of children worldwide have language disorders. It is estimated that the proportion of children with language disorders in China accounts for 10% to 20% of the total number of children. Children’s language disorders have become an urgent issue that needs to be addressed. Traditional intervention methods rely on manual assessment and one-on-one training, which are inefficient and difficult to achieve personalized support, resulting in unsatisfactory treatment outcomes. In recent years, the rapid development of large language modeling technology represented by DeepSeek-R1 has provided a new path for the diagnosis, intervention, and educational support of children with language disorders. This article combines literature review and application cases to explore the current application, technological advantages, and future challenges of large language models in the field of language disorders, aiming to better serve children with language disorders.

Large Language Model (LLM); Children; Language disorders