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1
Expanding horizons of cross-linguistic research on reading: The Multilingual Eye-movement Corpus (MECO)
In: Behav Res Methods (2022)
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2
How do Spanish speakers read words? Insights from a crowdsourced lexical decision megastudy [<Journal>]
Aguasvivas, Jose [Verfasser]; Carreiras, Manuel [Verfasser]; Brysbaert, Marc [Verfasser].
DNB Subject Category Language
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3
Studying texts in a non-native language: A further investigation of factors involved in the L2 recall cost ...
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4
Studying texts in a non-native language: A further investigation of factors involved in the L2 recall cost ...
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5
Which words do English non-native speakers know? New supernational levels based on yes/no decision ...
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6
Which words do English non-native speakers know? New supernational levels based on yes/no decision ...
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7
osfstorage-archive – Supplemental material for Which words do English non-native speakers know? New supernational levels based on yes/no decision ...
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8
osfstorage-archive – Supplemental material for Which words do English non-native speakers know? New supernational levels based on yes/no decision ...
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9
The Lancaster Sensorimotor Norms:Multidimensional measures of Perceptual and Action Strength for 40,000 English words
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10
The Lancaster Sensorimotor Norms: multidimensional measures of perceptual and action strength for 40,000 English words
Abstract: Sensorimotor information plays a fundamental role in cognition. However, the existing materials that measure the sensorimotor basis of word meanings and concepts have been restricted in terms of their sample size and breadth of sensorimotor experience. Here we present norms of sensorimotor strength for 39,707 concepts across six perceptual modalities (touch, hearing, smell, taste, vision, and interoception) and five action effectors (mouth/throat, hand/arm, foot/leg, head excluding mouth/throat, and torso), gathered from a total of 3,500 individual participants using Amazon’s Mechanical Turk platform. The Lancaster Sensorimotor Norms are unique and innovative in a number of respects: They represent the largest-ever set of semantic norms for English, at 40,000 words × 11 dimensions (plus several informative cross-dimensional variables), they extend perceptual strength norming to the new modality of interoception, and they include the first norming of action strength across separate bodily effectors. In the first study, we describe the data collection procedures, provide summary descriptives of the dataset, and interpret the relations observed between sensorimotor dimensions. We then report two further studies, in which we (1) extracted an optimal single-variable composite of the 11-dimension sensorimotor profile (Minkowski 3 strength) and (2) demonstrated the utility of both perceptual and action strength in facilitating lexical decision times and accuracy in two separate datasets. These norms provide a valuable resource to researchers in diverse areas, including psycholinguistics, grounded cognition, cognitive semantics, knowledge representation, machine learning, and big-data approaches to the analysis of language and conceptual representations. The data are accessible via the Open Science Framework (http://osf.io/7emr6/) and an interactive web application (https://www.lancaster.ac.uk/psychology/lsnorms/).
URL: https://mural.maynoothuniversity.ie/15405/1/DL-LancasterSensorimotorNorms-2020.pdf
https://mural.maynoothuniversity.ie/15405/
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11
Recognition times for 62 thousand English words: Data from the English Crowdsourcing Project [<Journal>]
Mandera, Paweł [Verfasser]; Keuleers, Emmanuel [Verfasser]; Brysbaert, Marc [Verfasser]
DNB Subject Category Language
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12
Genome sequencing for rightward hemispheric language dominance
In: ISSN: 1601-1848 ; EISSN: 1601-183X ; Genes, Brain and Behavior ; https://hal.archives-ouvertes.fr/hal-02093544 ; Genes, Brain and Behavior, Wiley, 2019, pp.e12572. &#x27E8;10.1111/gbb.12572&#x27E9; (2019)
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13
The Lancaster Sensorimotor Norms: multidimensional measures of perceptual and action strength for 40,000 English words
In: Behav Res Methods (2019)
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14
Recognition Times for 54 Thousand Dutch Words: Data from the Dutch Crowdsourcing Project
Brysbaert, Marc; Keuleers, Emmanuel; Mandera, Paweł. - : Ubiquity Press, 2019
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15
How well do word recognition measures correlate? Effects of language context and repeated presentations [<Journal>]
Dirix, Nicolas [Verfasser]; Brysbaert, Marc [Verfasser]; Duyck, Wouter [Verfasser]
DNB Subject Category Language
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16
Word prevalence norms for 62,000 English lemmas [<Journal>]
Brysbaert, Marc [Verfasser]; Mandera, Paweł [Sonstige]; McCormick, Samantha F. [Sonstige].
DNB Subject Category Language
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17
The “Small World of Words” English word association norms for over 12,000 cue words [<Journal>]
Deyne, Simon De [Verfasser]; Navarro, Danielle J. [Sonstige]; Perfors, Amy [Sonstige].
DNB Subject Category Language
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18
Corpus linguistics
In: Research methods in psycholinguistics and the neurobiology of language (Hoboken, NJ, 2018), p. 230-246
MPI für Psycholinguistik
19
Validated AoA norms for Dutch, Ghyselinck et al. (2000a) ...
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20
Validated AoA norms for Dutch, Ghyselinck et al. (2000) ...
M. Ghyselinck; W. De Moor; Brysbaert, Marc. - : figshare, 2018
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