Design and application of efficient English learning system based on Jaro-Winkler

With acceleration of globalization, English learning has become a compulsory course for many learners. However, traditional English learning methods are often inefficient and difficult to meet the needs of modern learners. Therefore, this study aims to design and apply an efficient English learning system based on the Jaro-Winkler algorithm. The Jaro-Winkler algorithm is a string similarity calculation method which can effectively measure the similarity between words so as to assist learners in memorizing and mastering English vocabulary more effectively. Firstly, this study analyzes the pain points in current English learning, such as insufficient vocabulary and poor grammar mastery, and proposes corresponding solutions. By introducing the Jaro-Winkler algorithm, the system can intelligently recommend words with high similarity for learning and improve learning efficiency. The experimental results show that learners who use this system have an average increase of 30% in vocabulary and a 20% decrease in grammatical error rate within 3 months. In addition, the system also provides a personalized learning path and real-time feedback mechanism, further enhancing learners’ learning motivation and effect. This study not only provides new ideas and methods for English learning but also provides a reference for the design of other language learning systems.