Literature DB >> 25975773

Megastudies, crowdsourcing, and large datasets in psycholinguistics: An overview of recent developments.

Emmanuel Keuleers1, David A Balota.   

Abstract

This paper introduces and summarizes the special issue on megastudies, crowdsourcing, and large datasets in psycholinguistics. We provide a brief historical overview and show how the papers in this issue have extended the field by compiling new databases and making important theoretical contributions. In addition, we discuss several studies that use text corpora to build distributional semantic models to tackle various interesting problems in psycholinguistics. Finally, as is the case across the papers, we highlight some methodological issues that are brought forth via the analyses of such datasets.

Keywords:  Corpora; Crowdsourcing; Distributional semantics; Language processing; Megastudies

Mesh:

Year:  2015        PMID: 25975773     DOI: 10.1080/17470218.2015.1051065

Source DB:  PubMed          Journal:  Q J Exp Psychol (Hove)        ISSN: 1747-0218            Impact factor:   2.143


  10 in total

Review 1.  Contributions of modern network science to the cognitive sciences: revisiting research spirals of representation and process.

Authors:  Nichol Castro; Cynthia S Q Siew
Journal:  Proc Math Phys Eng Sci       Date:  2020-06-10       Impact factor: 2.704

2.  Perceptual Experience Norms for 506 Russian Nouns: Modality Rating, Spatial Localization, Manipulability, Imageability and Other Variables.

Authors:  Alex Miklashevsky
Journal:  J Psycholinguist Res       Date:  2018-06

3.  Prevalence norms for 40,777 Catalan words: An online megastudy of vocabulary size.

Authors:  Marc Guasch; Roger Boada; Jon Andoni Duñabeitia; Pilar Ferré
Journal:  Behav Res Methods       Date:  2022-09-09

4.  Age-related changes in sleep-dependent novel word consolidation.

Authors:  Kyle A Kainec; Abdul Wasay Paracha; Salma Ali; Rahul Bussa; Janna Mantua; Rebecca Spencer
Journal:  Acta Psychol (Amst)       Date:  2021-12-23

5.  Chess databases as a research vehicle in psychology: Modeling large data.

Authors:  Nemanja Vaci; Merim Bilalić
Journal:  Behav Res Methods       Date:  2017-08

6.  Social Media and Language Processing: How Facebook and Twitter Provide the Best Frequency Estimates for Studying Word Recognition.

Authors:  Amaç Herdağdelen; Marco Marelli
Journal:  Cogn Sci       Date:  2016-08-01

7.  Context Availability and Sentence Availability Ratings for 3,000 English Words and their Association with Lexical Processing.

Authors:  Ellen Taylor; Kate Nation; Yaling Hsiao
Journal:  J Cogn       Date:  2022-03-09

8.  SPALEX: A Spanish Lexical Decision Database From a Massive Online Data Collection.

Authors:  Jose Armando Aguasvivas; Manuel Carreiras; Marc Brysbaert; Paweł Mandera; Emmanuel Keuleers; Jon Andoni Duñabeitia
Journal:  Front Psychol       Date:  2018-11-12

9.  Using clinical Natural Language Processing for health outcomes research: Overview and actionable suggestions for future advances.

Authors:  Sumithra Velupillai; Hanna Suominen; Maria Liakata; Angus Roberts; Anoop D Shah; Katherine Morley; David Osborn; Joseph Hayes; Robert Stewart; Johnny Downs; Wendy Chapman; Rina Dutta
Journal:  J Biomed Inform       Date:  2018-10-24       Impact factor: 6.317

10.  Expanding horizons of cross-linguistic research on reading: The Multilingual Eye-movement Corpus (MECO).

Authors:  Noam Siegelman; Sascha Schroeder; Cengiz Acartürk; Hee-Don Ahn; Svetlana Alexeeva; Simona Amenta; Raymond Bertram; Rolando Bonandrini; Marc Brysbaert; Daria Chernova; Sara Maria Da Fonseca; Nicolas Dirix; Wouter Duyck; Argyro Fella; Ram Frost; Carolina A Gattei; Areti Kalaitzi; Nayoung Kwon; Kaidi Lõo; Marco Marelli; Timothy C Papadopoulos; Athanassios Protopapas; Satu Savo; Diego E Shalom; Natalia Slioussar; Roni Stein; Longjiao Sui; Analí Taboh; Veronica Tønnesen; Kerem Alp Usal; Victor Kuperman
Journal:  Behav Res Methods       Date:  2022-02-02
  10 in total

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