医学论文英语摘要写作常见语病统计分析

Statistical Analysis on Common Faulty Wording in Abstracts of Medical Research Papers

本研究基于语料库数据,以天津医科大学学报2013年6月—2016年6月期间发表的医学论文摘要共260篇为语料数据,根据该语料数据库出现的错误性质将其分类,如:期刊写作规则表达偏误、语法表达偏误、语义表达偏误等。在本研究过程中,针对上述研究样本进行了各自的归类、量化与分析,确定常见显著性偏误、较少见偏误、不太重要偏误等。通过此语料归类、量化与分析,目的在于通过语料研究和分析,有效应用于今后医学研究生的医学英语写作教学,提高医学研究生的医学期刊范式下的英语文本输出能力。

Based on the language data of 260 abstracts extracted from the medical research papers published in Journal of Tianjin Medical University from June 2013 to June 2016,a corpus database of faulty wording is established. This research classifies all the common faulty wordings found in the abstracts into three main types of errors：journal writing regulation error, grammar error and expression error. Quantitative analysis is used in the paper to determine whether any type of error is the most significant,normal or less normal. The purpose of the analysis and study of the corpus database is to set up a foundation for further medical English teaching and to improve postgraduate students＇ text output capability based on medical journal writing regulation.