This paper is to discover the intrinsic characteristics of EST, so the features of EST vocabulary, syntax and discourse analysis are separately studied and explored in a deep sense.
本文旨在揭示科技英语的内在特征，因此对科技英语从其的方方面面，即针对其词汇特点，句式特征以及整体语篇都进行了系统、深入地分析和探讨。
This paper is mainly concerned with a systematic analysis and research on EST discourse from a rhetorical perspective.
这篇文章主要从修辞的角度对科技英语篇章进行系统的分析和研究。
Firstly, the paper deal with the EST sequence data in a certain way; secondly, we cluster the processed data by K-means algortihm to get clusters;
论文首先是数据预处理，其次，对处理后的数据进行K-均值聚类，获得一个粗略的聚类；
Firstly, the paper deal with the EST sequence data in a certain way; secondly, we cluster the processed data by K-means algortihm to get clusters;
论文首先是数据预处理，其次，对处理后的数据进行K-均值聚类，获得一个粗略的聚类；
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