A Study on Vocabulary Memory Strategies Based on Cluster Analysis in Business English Vocabulary Learning

Abstract

The traditional business English vocabulary learning and memorization strategy based on textbook units or vocabulary lists is inefficient, and learners face the problems of heavy memorization burden and easy confusion. This study proposes a vocabulary memorization method based on clustering strategy. The method systematically organizes the vocabulary memorization strategies of phonology, context, word formation, word meaning and clustering. The similarity calculation method and the K-mean algorithm in dividing clusters are used to re-categorize the vocabulary based on the semantics of Business English vocabulary to form vocabulary clusters with a high degree of relevance. Finally, 90 first-year students of the class of 2019 within a university in province A were selected as the research subjects and the vocabulary memorization strategy was applied to conduct a teaching experiment. The experimental data show that the clustering effect of this paper's method is better and can generate more regular vocabulary clusters, and the students in the experimental group who accept the teaching method of thematic clustering presentation are significantly different from their counterparts in the control group in the tests of vocabulary immediate posttest scores, delayed vocabulary scores, etc., and the difference in the mean value between the experimental group's immediate posttest scores and delayed posttest scores is reduced compared with that of the control class by 1.37.This illustrates that the clustering analysis can effectively optimize the memory storage of Business English vocabulary and provides an empirical method for the innovation of vocabulary teaching.