基于语料库概率模型的与格交替多因素分析——以send为例  

A Multifactorial Analysis of Dative Alternation Based on Corpus-based Probabilistic Models:An Exampleof“Send”

作　　者：袁咏雪 李健雪 Yongxue Yuan;Jianxue Li(School of Foreign Studies,Jiangnan University,Wuxi,Jiangsu,China)

机构地区：[1]江南大学外国语学院,江苏无锡214122

出　　处：《外国语言与文化》2023年第2期110-121,共12页Foreign Languages and Cultures

基　　金：2022年江苏省研究生科研创新计划项目“英语与格构式的构式变体研究”(KYCX222410)。

摘　　要：本研究采用多因素分析,提取真实使用的语料库数据,对语料进行句法、语义等多层面的标注,通过建立语料库概率模型,即Tree&Forest模型及朴素判别学习模型,探究制约send类与格交替使用的因素及影响效应。研究结果表明:口语语体中,对send类与格交替使用有显著性影响的因素包括与事代词性、受事代词性、与事有生性、受事有定性,以及与事有定性;代词性、有生性和有定性之间存在交互作用;预测变量相对重要性为与事代词性>长度差异>与事有生性>受事代词性>受事有定性>与事有定性>与事可及性>受事可及性>受事有生性>受事具体性。研究证明,论元结构交替的构式变体使用具有系统性及概率性,与格动词会影响构式变体选择,构式变体模型也得到了进一步论证。同时,本研究建立的语料库模型均具有较好的拟合能力和准确度。使用语料库概率模型是一种新的尝试,对与格交替的构式语法研究具有一定的启示作用。This study is a multifactorial analysis to explore the factors influencing the use of send-type dative alternation.Corpus-based probabilistic models are established after extracting and annotating the corpus data in semantic,pragmatic and syntactic aspects.The results show that in spoken English,significant factors influencing the use of send-type dative alternation include pronominality of recipient,pronominality of theme,animacy of recipient,definiteness of theme and definiteness of recipient.There are interactions among three factors,i.e.,pronominality,animacy and definiteness.The relative importance of the predictors is ranked as:pronominality of recipient>length difference>animacy of recipient>pronominality of theme>definiteness of theme>definiteness of recipient>accessibility of recipient>accessibility of theme>animacy of theme>concreteness of theme.The choice of construction variants is proved to be systematic and probabilistic,and allostruction model theory is provided with further evidence.Also,corpus-based models established in this study possess good ftting ability and accuracy.The use of corpus-based probabilistic models can be regarded as a new attempt,having implications in the construction grammar study of dative alternation.

关 键 词：与格交替 send类与格动词 Tree&Forest模型 朴素判别学习模型 

分 类 号：H313[语言文字—英语]