An Adaptive Learning System for English Vocabulary Using Machine Learning

The vocabulary of a language is the collection words used in that language. learning English plays an important role expansion learners linked to both their own efforts and instruments guide learning. Better software can increase learner’s passion for studying as well efficiency. Therefore, this paper aims explore adaptive system based on machine At beginning, it explains primary modules system, system’s general design database analysis. Afterwards, looks up AdaBoost algorithm, where key parameter conditional probability, which primarily measure learners’ cognitive adaptation content. fitness will be updated once finish selection content, known training. changed gradually through training push relevant material complete experiments result show proposed outperforms previous approaches terms efficiency, scientifically, reliability.