Toward a model of grammaticality judgments
Toward a model of grammaticality judgments
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DOI：
10.1017/s0022226709990260
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发表时间：
2010-07-01
影响因子：
1.1
通讯作者：
Haeussler, Jana
中科院分区：
文献类型：
--
作者：
Bader, Markus;Haeussler, Jana
本文提出了三个实验，考察了梯度与语法二元判断之间的关系。在前两个实验中，两组不同的被试在一次实验中使用了量值估计法和快速语法判断法进行句子判断。这两个实验涉及相同的句子材料，但它们在两个程序的应用顺序上有所不同。结果显示，无论是在一节课内还是在两节课上，语量估计数据和加速的语法判断数据之间都具有很高的相关性。第三个实验是问卷研究，参与者在没有时间压力的情况下判断相同的句子是语法的还是不语法的。这个实验得到的结果与另外两个实验的结果非常相似。因此，当以实验控制的方式进行评估时，梯度判断和二元判断都为语言学理论提供了有价值和可靠的来源。我们提出了一个基于信号检测理论的模型，该模型规定了如何将梯度语法分数映射到二进制语法判断。最后，我们将实验结果与现有的语料库数据进行比较，以探讨语法性与使用频率之间的关系。
This paper presents three experiments that investigate the relationship between gradient and binary judgments of grammaticality. In the first two experiments, two different groups of participants judged sentences by the method of magnitude estimation and by the method of speeded grammaticality judgments in a single session. The two experiments involved identical sentence materials but they differed in the order in which the two procedures were applied. The results show a high correlation between the magnitude estimation data and the speeded grammaticality judgments data, both within a session and across the two sessions. The third experiment was a questionnaire study in which participants judged the same sentences as either grammatical or ungrammatical without time pressure. This experiment yielded results quite similar to those of the other two experiments. Thus gradient and binary judgments both provide valuable and reliable sources for linguistic theory when assessed in an experimentally controlled way. We present a model based on Signal Detection Theory which specifies how gradient grammaticality scores are mapped to binary grammaticality judgments. Finally, we compare our experimental results to existing corpus data in order to inquire into the relationship between grammaticality and frequency of usage.