基于回归的多因素预测与偏差分析法——应用与展望

Multifactorial Prediction and Deviation Analysis Using Regression:A Review

基于回归的多因素预测与偏差分析法是近来在学习者语料库研究领域出现的一种新方法。它主要关注的是学习者语言在哪些方面,以及为什么会偏离母语者的语言。该方法已在学习者语料库研究、英语变体研究,以及翻译研究等领域获得了广泛应用。本文梳理了该方法提出的背景,介绍了该方法的分析程序,归纳了该方法的应用现状。同时,本文还指出了该方法的优点和缺点,并对其发展前景做出展望。

Multifactorial prediction and deviation analysis using regression(MuPDAR)is a new approach recently developed in the field of learner corpus research.It focuses on where and why learners’language deviates from native speakers’language.Since it is proposed,this approach has been widely used in the fields of learner corpus research,English variation research,and translation research.This paper reviews its background,introduces its procedure,and expounds its new developments.Meanwhile,advantages and disadvantages of MuPDAR are also discussed,and suggestions for future development are provided.