计算机应用 ›› 2010, Vol. 30 ›› Issue (07): 1970-1973.

• 典型应用 • 上一篇    下一篇

语音词汇网单词联想记忆

李俊林1,符红光2   

  1. 1. 成都电子科技大学计算机科学与工程学院
    2. 成都计算机应用研究所
  • 收稿日期:2009-12-23 修回日期:2010-02-14 发布日期:2010-07-01 出版日期:2010-07-01
  • 通讯作者: 李俊林
  • 基金资助:
    国家重点基础性研究基金

English word associative memory through pronunciation based vocabulary network

  • Received:2009-12-23 Revised:2010-02-14 Online:2010-07-01 Published:2010-07-01

摘要: 语音联想记忆是一种高效的记忆方法。为了给学习者提供语音联想的素材,引导学习者进行语音联想,熟悉读音规则,加深对单词拼写和发音的记忆,帮助学习者建立字母组合与相关发音间的双向认知,提出一种基于语音的词汇网。语音词汇网是基于常见字母组合和单词读音之间的差异构建的,因此其中既包含了语音近似度信息,也包含了一定的单词结构信息。利用该网络,学习系统不但可以实现语音联想功能,还能提供语音方面的相关统计信息。语音词汇网的引入能进一步完善单词学习系统的联想记忆功能。

关键词: 联想记忆, 语音联想, 单词语音网, 英语记忆法, 词汇网

Abstract: Pronunciation associative memory is a high effective memorizing strategy. A pronunciation based vocabulary network was introduced in order to guide learners to use pronunciation associative memory, to help them to get familiar with pronunciation rules, to strengthen their memories of words as well as to assist learners to build bidirectional recognition between letter combination and its pronunciation options. This network was constructed according to frequent letter combinations and pronunciation difference between words. Therefore, it contained information about pronunciation similarity and word structure. Based on the network, learning system can realize pronunciation associative memory function, and can provide relevant statistical data. Associative memory function of word learning system can be further improved by utilizing pronunciation based vocabulary network.

Key words: associative memory, pronunciation association, pronunciation network, English memory approach, vocabulary network