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通过对语料库词汇研究中采用的研究方法进行梳理,发现大部分研究采用单变量定量分析方法,即定量研究中所涉及的变量较为单一。基于此,笔者提出应该进一步深化基于语料库的定量研究方法,才能深化对词汇的研究和认识。因此,本研究通过运用多元统计分析方法对近义词IDEA和CONCEPT的案例分析,从多个角度考察近义词IDEA和CONCEPT的不同特点与用法,揭示出区别选择使用两者时需要考虑的关键因素,重点考察这两个词汇项在口语,小说,新闻和学术语域中的分布差异,以及两者在领属方面的语义特征和其后置修饰成分差异,旨在呈现多元回归统计模型在近义词辨析中的应用,指出其在词汇研究和认识的广度和深度方面明显优于单变量定量分析。
Through combing the research methods used in the study of corpus vocabulary, we found that most of the studies used the univariate quantitative analysis method, that is, the variables involved in the quantitative study were relatively simple. Based on this, I propose that we should further deepen the quantitative research methods based on corpus to deepen the research and understanding of vocabulary. Therefore, by analyzing the case studies of the synonyms IDEA and CONCEPT by using multivariate statistical analysis methods, this study examines the different characteristics and usages of the synonyms IDEA and CONCEPT from multiple perspectives and reveals the key factors that need to be considered when choosing to use both, focusing on The differences between the two vocabulary items in the oral, fiction, news and academic domain, as well as the semantic features of the two genres and the differences of their post-modification components in order to present the application of multivariate regression statistical model in the analysis of synonyms , Pointing out that it is obviously superior to univariate quantitative analysis in breadth and depth of vocabulary research and understanding.