基于关联度的词汇记忆优化算法  

Vocabulary Retentive Optimization Algorithm Based on Association

作　　者：方海洋[1] 赵静[1] 赵胜利[1] 

机构地区：[1]后勤工程学院基础部,重庆401311

出　　处：《后勤工程学院学报》2014年第3期81-85,共5页Journal of Logistical Engineering University

摘　　要：近年来,记忆词汇的方法不断涌现,但是这些方法仅仅考虑其中某一方面因素,而非综合考虑多方面因素。鉴于单词间拼写和发音重合度对于词汇记忆的重要性,融合了单词拼写和发音重合度,提出了基于单词间关联度的词汇记忆方法,结合图论知识给出了单词最优记忆回路的近似算法,运用Matlab编程对大学英语四级词汇进行了排序,通过实验和假设检验验证了使用基于单词间关联度的词汇记忆方法的记忆效率明显优于普通方法。Recently, the methods of the vocabulary retention emerge continuously, but those methods only consider single factor, rather than consolidate a series of factors. The article proposes a vocabulary retentive method based on the association between words spelling and pronunciation. The approximation algorithm of optimal memory circuits is obtained by combining the graph theory, then the CET4 vocabularies are sorted by using the Matlab programming. The experiments and hypothesis tests verify that the memory efficiency of this method is higher than ordinary memory method by experiments and hypothesis tests.

关 键 词：词汇记忆 关联度 重合度 优化算法 

分 类 号：O29[理学—应用数学]