The rapid advancement of Artificial Intelligence (AI) and Natural Language Processing (NLP) has transformed language learning methodologies, particularly in the acquisition of Korean as a foreign language. This study explores the integration of NLP-based chatbots and mobile applications as innovative tools for enhancing Korean language learning. By leveraging machine learning algorithms, speech recognition, and contextual understanding, these digital solutions offer personalized, interactive, and immersive learning experiences. The research examines the effectiveness of AI-driven chatbots in improving learners' pronunciation, grammar accuracy, and conversational fluency, while mobile applications complement traditional pedagogies through gamification and adaptive feedback mechanisms. A comparative analysis of user engagement, learning outcomes, and cognitive retention is conducted through empirical data from various educational platforms. Findings suggest that NLP-based chatbots and mobile applications significantly enhance learner motivation, reduce language anxiety, and facilitate self-paced learning. This study underscores the potential of AI-driven technologies in reshaping Korean language education and highlights implications for future pedagogical strategies.

NLP chatbots, mobile-assisted language learning, Korean language acquisition

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