Evidence map›Paper›PMID 33415713›Full record

ArticleMemory & cognition2021

How quantifiers influence the conceptual representation of plurals.

Nikole D Patson

Abstract read
PubMed Publisher
In one paragraph

Article in Memory & cognition, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Nikole D PatsonOhio State University, 1465 Mount Vernon Avenue, Marion, OH, 43302, USA. Patson.3@osu.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper reports the results of two experiments that investigate the nature of plural conceptual representations that are created during sentence comprehension. Previous work has found that comprehenders seem to represent both a singular object and a plural set of objects during the comprehension of plural nouns. The activation of the singular object has been attributed to the pragmatic processing involved in understanding the plural (Patson, Journal of Experimental Psychology: Learning, Memory and Cognition, 42, 1140-1153, 2016a). The goal of the current study was to further investigate this hypothesis. Experiment 1 used a picture-matching paradigm to investigate how comprehenders conceptualize plural nouns quantified with many, which renders the scalar implicature unnecessary. Consistent with the pragmatic processing hypothesis, comprehenders did not activate a singular form when the plural was quantified with many. Experiment 2 was designed to further investigate whether all quantifiers block activation of the singular form. The same picture-matching paradigm was used with numerical quantifiers that specify numbers either within or above the subitization range. When the number was within the subitization range, comprehenders' conceptual representations contained exactly that number of objects, and importantly did not contain a singular object. When number was above the subitization range, comprehenders' conceptual representations did not contain an exact number of objects and seemed to activate a singular object. These data are consistent with constraints on how many objects can be represented in visual working memory. Taken together, the results of these two experiments suggest that the plural's conceptual representation emerged as a result of grammatical processing as well as limits on the visual processing system.

Indexed as

ComprehensionHumansSemanticsVisual PerceptionLanguage comprehensionPluralQuantifiersReferential processing

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.