Suppr超能文献

范围:南卡罗来纳州心理语言学元数据库。

SCOPE: The South Carolina psycholinguistic metabase.

机构信息

Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands.

Department of Psychology, Institute for Mind and Brain, University of South Carolina, Columbia, SC, 29201, USA.

出版信息

Behav Res Methods. 2023 Sep;55(6):2853-2884. doi: 10.3758/s13428-022-01934-0. Epub 2022 Aug 15.

Abstract

The number of databases that provide various measurements of lexical properties for psycholinguistic research has increased rapidly in recent years. The proliferation of lexical variables, and the multitude of associated databases, makes the choice, comparison, and standardization of these variables in psycholinguistic research increasingly difficult. Here, we introduce The South Carolina Psycholinguistic Metabase (SCOPE), which is a metabase (or a meta-database) containing an extensive, curated collection of psycholinguistic variable values from major databases. The metabase currently contains 245 lexical variables, organized into seven major categories: General (e.g., frequency), Orthographic (e.g., bigram frequency), Phonological (e.g., phonological uniqueness point), Orth-Phon (e.g., consistency), Semantic (e.g., concreteness), Morphological (e.g., number of morphemes), and Response variables (e.g., lexical decision latency). We hope that SCOPE will become a valuable resource for researchers in psycholinguistics and affiliated disciplines such as cognitive neuroscience of language, computational linguistics, and communication disorders. The availability and ease of use of the metabase with comprehensive set of variables can facilitate the understanding of the unique contribution of each of the variables to word processing, and that of interactions between variables, as well as new insights and development of improved models and theories of word processing. It can also help standardize practice in psycholinguistics. We demonstrate use of the metabase by measuring relationships between variables in multiple ways and testing their individual contribution towards a number of dependent measures, in the most comprehensive analysis of this kind to date. The metabase is freely available at go.sc.edu/scope.

摘要

近年来,提供各种词汇属性测量的数据库数量在医学领域迅速增加。词汇变量的激增,以及与之相关的众多数据库,使得在心理语言学研究中选择、比较和标准化这些变量变得越来越困难。在这里,我们介绍南卡罗来纳心理语言学元数据库(SCOPE),这是一个元数据库(或元数据库),其中包含来自主要数据库的广泛的、经过精心整理的心理语言学变量值集合。该元数据库目前包含 245 个词汇变量,分为七个主要类别:一般(例如,频率)、正字法(例如,双字母频率)、音韵学(例如,音韵独特性点)、正字法-音韵(例如,一致性)、语义(例如,具体性)、形态学(例如,词素数量)和反应变量(例如,词汇判断潜伏期)。我们希望 SCOPE 将成为心理语言学研究人员以及认知神经语言学、计算语言学和言语障碍等相关学科的宝贵资源。元数据库的可用性和易用性,以及其全面的变量集,可以促进对每个变量对单词处理的独特贡献的理解,以及变量之间的相互作用的理解,以及对单词处理的改进模型和理论的新见解和发展。它还可以帮助规范心理语言学的实践。我们通过多种方式测量变量之间的关系,并测试它们对多个因变量的单独贡献,进行了迄今为止最全面的此类分析,展示了元数据库的使用。该元数据库可在 go.sc.edu/scope 免费获得。

相似文献

1
SCOPE: The South Carolina psycholinguistic metabase.
Behav Res Methods. 2023 Sep;55(6):2853-2884. doi: 10.3758/s13428-022-01934-0. Epub 2022 Aug 15.
3
Word naming times and psycholinguistic norms for Italian nouns.
Behav Res Methods Instrum Comput. 2002 Aug;34(3):424-34. doi: 10.3758/bf03195471.
6
A database of orthography-semantics consistency (OSC) estimates for 15,017 English words.
Behav Res Methods. 2018 Aug;50(4):1482-1495. doi: 10.3758/s13428-018-1017-8.
7
Typing pictures: Linguistic processing cascades into finger movements.
Cognition. 2016 Nov;156:16-29. doi: 10.1016/j.cognition.2016.07.006. Epub 2016 Jul 26.
8
Surviving blind decomposition: A distributional analysis of the time-course of complex word recognition.
J Exp Psychol Learn Mem Cogn. 2017 Nov;43(11):1793-1820. doi: 10.1037/xlm0000411. Epub 2017 Apr 27.
10
Psycholinguistic norms for more than 300 lexical signs in German Sign Language (DGS).
Behav Res Methods. 2021 Oct;53(5):1817-1832. doi: 10.3758/s13428-020-01524-y. Epub 2021 Feb 11.

引用本文的文献

1
The acceptability and validity of AI-generated psycholinguistic stimuli.
Heliyon. 2025 Jan 17;11(2):e42083. doi: 10.1016/j.heliyon.2025.e42083. eCollection 2025 Jan 30.
2
Vigorous Exercise Enhances Verbal Fluency Performance in Healthy Young Adults.
Brain Sci. 2025 Jan 20;15(1):96. doi: 10.3390/brainsci15010096.
3
Mapping Mental Representations With Free Associations: A Tutorial Using the R Package associatoR.
J Cogn. 2025 Jan 6;8(1):3. doi: 10.5334/joc.407. eCollection 2025.
5
6
The Two Word Test as a semantic benchmark for large language models.
Sci Rep. 2024 Sep 16;14(1):21593. doi: 10.1038/s41598-024-72528-3.
7
Novel embeddings improve the prediction of risk perception.
EPJ Data Sci. 2024;13(1):38. doi: 10.1140/epjds/s13688-024-00478-x. Epub 2024 May 22.
8
An inclusive multivariate approach to neural localization of language components.
Brain Struct Funct. 2024 Jun;229(5):1243-1263. doi: 10.1007/s00429-024-02800-9. Epub 2024 May 2.
9
A psycholinguistic study of intergroup bias and its cultural propagation.
Sci Rep. 2024 Apr 14;14(1):8613. doi: 10.1038/s41598-024-58905-y.
10
Non-arbitrary mappings between size and sound of English words: Form typicality effects during lexical access and memory.
Q J Exp Psychol (Hove). 2024 May;77(5):943-963. doi: 10.1177/17470218231184940. Epub 2023 Jul 6.

本文引用的文献

2
LexiCAL: A calculator for lexical variables.
PLoS One. 2021 Apr 30;16(4):e0250891. doi: 10.1371/journal.pone.0250891. eCollection 2021.
3
Consistency norms for 37,677 english words.
Behav Res Methods. 2020 Dec;52(6):2535-2555. doi: 10.3758/s13428-020-01391-7.
4
LexOPS: An R package and user interface for the controlled generation of word stimuli.
Behav Res Methods. 2020 Dec;52(6):2372-2382. doi: 10.3758/s13428-020-01389-1.
7
Recognition times for 62 thousand English words: Data from the English Crowdsourcing Project.
Behav Res Methods. 2020 Apr;52(2):741-760. doi: 10.3758/s13428-019-01272-8.
8
English semantic feature production norms: An extended database of 4436 concepts.
Behav Res Methods. 2019 Aug;51(4):1849-1863. doi: 10.3758/s13428-019-01243-z.
9
Quantifying sensorimotor experience: Body-object interaction ratings for more than 9,000 English words.
Behav Res Methods. 2019 Apr;51(2):453-466. doi: 10.3758/s13428-018-1171-z.
10
The "Small World of Words" English word association norms for over 12,000 cue words.
Behav Res Methods. 2019 Jun;51(3):987-1006. doi: 10.3758/s13428-018-1115-7.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验