Last modified: 2025-07-04
Abstract
This study explores the integration of Artificial Intelligence (AI), particularly Natural Language Processing (NLP), into the development of smart dictionaries to support English Language Teaching (ELT). The research addresses the need for adaptive, context-aware vocabulary tools that align with learners' linguistic proficiency and pedagogical goals. The main objective is to design and evaluate an AI-powered digital dictionary prototype capable of enhancing vocabulary acquisition in ESL (English as a Second Language) environments. Utilizing the waterfall development method, the system was built through stages of requirement analysis, design, implementation, and testing. Data were collected through user feedback from English language teachers and learners at the secondary school level. Results indicate that the smart dictionary significantly improved learner engagement and vocabulary retention due to its contextual definitions, synonym suggestions, pronunciation features, and usage examples powered by NLP algorithms. The findings suggest that AI-augmented lexicography can play a transformative role in ELT, making vocabulary learning more dynamic, personalized, and pedagogically aligned. Further studies are encouraged to explore large-scale deployment and integration into existing language curricula.