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1
Regression modeling for linguistic data ...
Sonderegger, Morgan. - : Open Science Framework, 2022
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2
Language and vision in conceptual processing: Multilevel analysis and statistical power ...
Bernabeu, Pablo. - : Open Science Framework, 2022
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3
Native word order processing is not uniform: An ERP-study of verb-second word order ...
Newman, Aaron. - : Open Science Framework, 2021
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4
Supplementary materials to 'Inuktitut and the concept of word-level prominence'
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5
The effects of individual differences and linguistic features on reading comprehension of health-related texts ...
Ratajczak, Michael. - : Lancaster University, 2020
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6
Specifying the random effect structure in linear mixed effect models for analyzing psycholinguistic data ...
Park, Jungkyu; Cardwell, Ramsey; Yu, Hsiu-Ting. - : PsychOpen GOLD, 2020
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7
Investigating the Portuguese-English Bilingual Mental Lexicon: Crosslinguistic Orthographic and Phonological Overlap in Cognates and False Friends ...
Alves-Soares, Leonardo. - : Université d'Ottawa / University of Ottawa, 2020
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8
Investigating the Portuguese-English Bilingual Mental Lexicon: Crosslinguistic Orthographic and Phonological Overlap in Cognates and False Friends
Alves-Soares, Leonardo. - : Université d'Ottawa / University of Ottawa, 2020
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9
Emoticons As Multifunctional And Pragmatic Resources: A Corpus-Based Study On Twitter ...
Spina, Stefania. - : Zenodo, 2017
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10
Emoticons As Multifunctional And Pragmatic Resources: A Corpus-Based Study On Twitter ...
Spina, Stefania. - : Zenodo, 2017
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11
Generalizing across stimuli as well as subjects: A non-mathematical tutorial on mixed-effects modelsᅠ
Chang, Yu-Hsuan A.; Lane, David M.. - : The Quantitative Methods for Psychology, 2016
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12
Quantity and Quality: Not a Zero-Sum Game ... : Quantität und Qualität: kein Nullsummenspiel ...
Alday, Phillip Marshel. - : Philipps-Universität Marburg, 2015
Abstract: Die Quantifizierung stellt für die Theoriebildung in der Neurolinguistik eine große Herausforderung und eine große Chance dar. Denn die Quantifizierung ist nötig für die Entwicklung von präzisen Theorien, jedoch verlangt sie neue Methoden und Perspektiven. Zu diesem Zweck wurden vier komplementäre Versuche im Rahmen des extended Argument Dependency Model von Bornkessel-Schlesewsky und Schlesewsky eingeführt. Im Bereich der kognitiven Modellierung wurde ein computationelles Model des menschlichen Sprachverstehens anhand eines Dependency Parser entwickelt. Diese Modellierung dient dem Vergleich der Optimalität der Lösungen eines herkömmlichen Sprachverarbeitungsmodells (Subjekt-Strategie) und des eADMs (Actor-Strategie). Die Ergebnisse zeigten gewisse Vorteile für herkömmliche Modelle in einer eingeschränkten Umgebung. Dennoch zeigte sich das Modell für die Actor-Strategie in einem Testlauf als dem Menschen ähnlicher als das Modell für die Subjekt-Strategie. Im Bereich der Elektrophysiologie wurde anhand von ... : Quantification of existing theories is a great challenge but also a great chance for the study of language in the brain. While quantification is necessary for the development of precise theories, it demands new methods and new perspectives. In light of this, four complementary methods were introduced to provide a quantitative and computational account of the extended Argument Dependency Model from Bornkessel-Schlesewsky and Schlesewsky. First, a computational model of human language comprehension was introduced on the basis of dependency parsing. This model provided an initial comparison of two potential mechanisms for human language processing, the traditional "subject" strategy, based on grammatical relations, and the "actor" strategy based on prominence and adopted from the eADM. Initial results showed an advantage for the traditional subject" model in a restricted context; however, the "actor" model demonstrated behavior in a test run that was more similar to human behavior than that of the "subject" ...
Keyword: cognitive modeling; EEG; Elektroencephalographie , Elektroencephalogramm; language processing; mixed effects models; Modellierung , Computerlinguistik; Sprache, Linguistik; Sprachverarbeitung
URL: http://archiv.ub.uni-marburg.de/diss/z2015/0221
https://dx.doi.org/10.17192/z2015.0221
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13
Supplemental Materials for Slevc, Davey, & Linck (under review), A new look at "the hard problem" of bilingual lexical access: Evidence for language suppression with univalent stimuli. ...
Slevc, L. Robert; Davey, Nicholas; Linck, Jared A.. - : Digital Repository at the University of Maryland, 2015
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14
Quantity and Quality: Not a Zero-Sum Game
Phillip Marshel; Alday; Bornkessel-Schlesewsky. - : Philipps-Universität Marburg, 2015. : Germanistische Sprachwissenschaft, 2015
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15
Supplemental Materials for Slevc, Davey, & Linck (2016), A new look at the 'hard problem' of bilingual lexical access: Evidence for language suppression with univalent stimuli
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16
How to become twice more precise in detecting neuropsychological impairments
Crepaldi, D.; Casarotti, A.; Zarino, B.. - : Frontiers media, 2014
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17
Disfluency as. er. delay: An investigation into the immediate and lasting consequences of disfluency and temporal delay using EEG and mixed-effects modelling
Bouwsema, Jennifer A E. - : University of Stirling, 2014. : University of Edinburgh, 2014
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18
Motivating science learning
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19
Item effects in recognition memory for words
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20
Examples of mixed-effects modeling . . .
In: http://www.let.uu.nl/~Hugo.Quene/personal/onderzoek/qb2008jml20080218.pdf (2008)
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