基于语料库的科技英语论文四词词簇特点研究  

A corpus-based study on four-word clusters in English for science and technology papers

作　　者：杨元媛[1] 

机构地区：[1]商丘师范学院

出　　处：《外语教学理论与实践》2013年第4期45-52,95,共8页Foreign Language Learning Theory And Practice

基　　金：第五批中国外语教育基金项目"作品风格的量化分析--语料库文体学研究"(ZGWYJYJJ2010A66);2011年河南省教育厅人文社会科学研究项目"语料库文体学与作品风格的量化分析"(2011-ZX-329);2010年商丘师范学院教育教学改革研究项目"AntConc软件支持下的新型英美文学课教学法"(2010-yjxm-17)的阶段性成果

摘　　要：应用语料库软件Wordsmith Tools,检索自建EST(English for Science and Technology)论文语料库中的高频四词词簇,从结构和功能的角度分析了高频词簇的特点。词簇结构分类发现,带有of-结构的名词短语、介词短语和被动态动词短语构成的词簇在语料库中应用最广。词簇功能分类发现,提供指示框架的词簇最多,40%以上的词簇与自然科学的专业主题相关。了解英语国家作者所使用词簇的固定模式化特征,可以帮助中国科技人员完成英文论文,利于国际技术交流。To retrieve high-frequency four-word clusters in a self-made EST( English for Science and Technology) Paper Corpus,corpus software—Wordsmith Tools,is used. Clusters searched out from the EST Paper Corpus are investigated from both structural and functional perspectives. Structural classification shows that,clusters containing noun phrases with of in them,clusters containing prepositional phrases,and clusters including passive verbs are most widely used in the corpus. Functional classification of clusters reveals that,referential clusters are most frequently used. In addition,more than 40% of the clusters are related to professional topics in the field of natural sciences. In EST paper writing,acquaintance with formulaic patterns of clusters in papers written by English native authors can help Chinese scientific and technical personnel develop an appropriate English writing style,thus to facilitate international communication of technologies.

关 键 词：语料库 EST论文 四词词簇 结构 功能 

分 类 号：H314[语言文字—英语]