Language Learning

Language learning research focuses on understanding and improving how humans and artificial intelligence acquire languages, aiming to create more effective educational tools and insights into the cognitive processes involved. Current research employs various machine learning models, including transformers, recurrent neural networks, and large language models, to analyze language data, generate personalized learning materials, and provide automated feedback on pronunciation, grammar, and fluency. These advancements are leading to innovative computer-assisted language learning systems that offer adaptive exercises, personalized feedback, and engaging interactive experiences, ultimately impacting both language education and our understanding of language acquisition.