A corpus-based examination of scalar diversity.
A corpus-based examination of scalar diversity.
复制标题
基于语料库的标量多样性检查。
DOI：
10.1037/xlm0001278
复制
发表时间：
2023
期刊：
影响因子：
--
通讯作者：
R. Breheny
中科院分区：
文献类型：
--
作者：
Chao;Ye Tian;R. Breheny
标量多样性现象指的是，不同的标量表达以不同的速率产生标量蕴涵(SIS)，这一发现得到了很好的重复。以前的工作已经表明，标量分集效应的一部分可以用理论上的激励因素来解释。虽然这种效应只在使用人工构建的刺激的受控实验中得到证实，但有一种趋势是，人们倾向于认为已经观察到的推理速度的显著差异反映了自然产生的话语中的差异。我们通过采样涉及各种标量表达式的实际语言使用情况来探索是否存在这种情况。我们采用Degen(2015)的方法，在我们构建的Twitter数据语料库中考察了标量多样性效应。我们发现，在基于语料库的转述任务中，标量多样性现象显著减弱。尽管“标量多样性”的程度各不相同，但我们发现，来自SI理论的因素可以解释近三分之二的差异。无论这种变异是在对照实验中观察到的，还是在自然语言使用的背景下观察到的，情况都是如此。至于剩下的变化，我们假设这可能是由于形容词标量表达是否应该进行标量丰富的高度不确定性造成的。(JuncINFO数据库记录(C)2023 APA，保留所有权利)。
The phenomenon of scalar diversity refers to the well-replicated finding that different scalar expressions give rise to scalar implicatures (SIs) at different rates. Previous work has shown that part of the scalar diversity effect can be explained by theoretically motivated factors. Although the effect has been established only in controlled experiments using manually constructed stimuli, there has been a tendency to assume that the marked differences in inference rates that have been observed reflect differences to be found in naturally occurring discourse. We explore whether this is the case by sampling actual language usage involving a wide range of scalar expressions. Adopting the approach in Degen (2015), we investigated the scalar diversity effect in a corpus of Twitter data we constructed. We find that the phenomenon of scalar diversity attenuates significantly when measured in a corpus-based paraphrase task. Although the degree of "scalar diversity" varies, we find that factors derived from theories of SI can explain nearly two-thirds of the variation. This remains the case whether the variation is observed in controlled experiments or in the context of natural language use. As for the remaining variation, we hypothesize that it may be due to a high level of uncertainty about whether adjectival scalar expressions should undergo scalar enrichment. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
影响因子：
3.8
作者：
Gotzner N;Solt S;Benz A
通讯作者：
Benz A