基于大数据算法的对英语词源中K拟声的研究初探

A Study on K’s Onomatopoeia in English Etymology Based on Big Data Algorithm

英语词源学(English Etymology)是专门研究英语单词的来源、历史及其词义变化的学科。本文基于大数据算法提出一种新的研究英语词源的方法。该方法以数据库技术为支撑,采用归并排序、二分查找等大数据算法,结合印欧语规则,对英语单词进行词源分析,算法运行和后期筛查的结果将单词分别归纳为以不同拟声元为根节点的若干单词树。在每棵树中,英文单词为树的叶子节点,每条从根节点到叶子节点的遍历过程也是该单词的字面意义的生成过程。根据实验结果,本文总结K拟声派生出的英语单词,并将其分为两类:直接来自K拟声的单词;分别由“咔咔”声表示(喉咙)卡住,蛙叫声表示震动,刀划声表示尖,砍、敲、刻声表示砍、敲、刻,汩汩声表示冒泡、鼓起,这5种意义间接派生出的单词。

This paper proposes a novel research method based on big data algorithm to study English etymology. By using database technology, the paper analyzes etymology of English words by applying big data algorithms such as Merge-Sort and Binary Search with Indo European rules. The results of algorithm with later screening are summed up as several word trees with different onoma-topoeic elements as root nodes. On every tree, English word is the leaf node of the tree, and the traversing process from every root node to the leaf node is also the generation process of the word meaning. The experimental results divide English words derived from K’s onomatopoeia into two parts: Part one analyzes the words directly from K’s onomatopoeia;part two illustrates how the words are derived indirectly from K’s onomatopoeia through five categories as following: Sound “ka ka” which means(throat) choking;frog croaking which means shaking;knife sliding sound which means acumination;sound of chopping, clicking and carving which means chop, click and carve;gurgling which means bubbling and plumping. This paper focuses only on part one and the first two categories of part two. The tests show that the tree structure of this experiment can improve the accuracy of English word memorization by an average of 31.5% compared with traditional teaching methods.