Publications

Displaying 201 - 214 of 214
  • Van Turennout, M. (1997). The electrophysiology of speaking: Investigations on the time course of semantic, syntactic, and phonological processing. PhD Thesis, Radboud University Nijmegen, Nijmegen. doi:10.17617/2.2057711.
  • Van Dijk, C. N. (2021). Cross-linguistic influence during real-time sentence processing in bilingual children and adults. PhD Thesis, Raboud University Nijmegen, Nijmegen.
  • van der Burght, C. L. (2021). The central contribution of prosody to sentence processing: Evidence from behavioural and neuroimaging studies. PhD Thesis, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig.
  • Van Paridon, J. (2021). Speaking while listening: Language processing in speech shadowing and translation. PhD Thesis, Radboud University Nijmegen, Nijmegen.
  • Van Berkum, J. J. A., & Nieuwland, M. S. (2019). A cognitive neuroscience perspective on language comprehension in context. In P. Hagoort (Ed.), Human language: From genes and brain to behavior (pp. 429-442). Cambridge, MA: MIT Press.
  • Van Rhijn, J. R. (2019). The role of FoxP2 in striatal circuitry. PhD Thesis, Radboud University Nijmegen, Nijmegen.
  • Verhoef, E. (2021). Why do we change how we speak? Multivariate genetic analyses of language and related traits across development and disorder. PhD Thesis, Radboud University Nijmegen, Nijmegen.
  • Vernes, S. C. (2019). Neuromolecular approaches to the study of language. In P. Hagoort (Ed.), Human language: From genes and brain to behavior (pp. 577-593). Cambridge, MA: MIT Press.
  • De Vos, J. (2019). Naturalistic word learning in a second language. PhD Thesis, Radboud University Nijmegen, Nijmegen.
  • Wilkins, D. (1993). Route Description Elicitation. In S. C. Levinson (Ed.), Cognition and space kit 1.0 (pp. 15-28). Nijmegen: Max Planck Institute for Psycholinguistics. doi:10.17617/2.3513141.

    Abstract

    When we want to describe a path through space, but do not share a common perceptual field with a conversation partner, language has to work doubly hard. This task investigates how people communicate the navigation of space in the absence of shared visual cues, as well as collecting data on motion verbs and the roles of symmetry and landmarks in route description. Two speakers (separated by a curtain or other barrier) are each given a model of a landscape, and one participant describes standard routes through this landscape for the other to match.
  • Wilkins, D., & Hill, D. (1993). Preliminary 'Come' and 'Go' Questionnaire. In S. C. Levinson (Ed.), Cognition and space kit 1.0 (pp. 29-46). Nijmegen: Max Planck Institute for Psycholinguistics. doi:10.17617/2.3513125.

    Abstract

    The encoding of apparently ‘simple’ movement concepts such as ‘COME’ and ‘GO’ can differ widely across languages (e.g., in regard to specifying direction of motion relative to the speaker). This questionnaire is used to identify the range of use of basic motion verbs in a language, and investigate semantic parameters that are involved in high frequency ‘COME’ and ‘GO’-like terms.
  • Wilkins, D., Kita, S., & Enfield, N. J. (2007). 'Ethnography of pointing' - field worker's guide. In A. Majid (Ed.), Field Manual Volume 10 (pp. 89-95). Nijmegen: Max Planck Institute for Psycholinguistics. doi:10.17617/2.492922.

    Abstract

    Pointing gestures are recognised to be a primary manifestation of human social cognition and communicative capacity. The goal of this task is to collect empirical descriptions of pointing practices in different cultural settings.
  • Zhang, Y., Chen, C.-h., & Yu, C. (2019). Mechanisms of cross-situational learning: Behavioral and computational evidence. In Advances in Child Development and Behavior; vol. 56 (pp. 37-63).

    Abstract

    Word learning happens in everyday contexts with many words and many potential referents for those words in view at the same time. It is challenging for young learners to find the correct referent upon hearing an unknown word at the moment. This problem of referential uncertainty has been deemed as the crux of early word learning (Quine, 1960). Recent empirical and computational studies have found support for a statistical solution to the problem termed cross-situational learning. Cross-situational learning allows learners to acquire word meanings across multiple exposures, despite each individual exposure is referentially uncertain. Recent empirical research shows that infants, children and adults rely on cross-situational learning to learn new words (Smith & Yu, 2008; Suanda, Mugwanya, & Namy, 2014; Yu & Smith, 2007). However, researchers have found evidence supporting two very different theoretical accounts of learning mechanisms: Hypothesis Testing (Gleitman, Cassidy, Nappa, Papafragou, & Trueswell, 2005; Markman, 1992) and Associative Learning (Frank, Goodman, & Tenenbaum, 2009; Yu & Smith, 2007). Hypothesis Testing is generally characterized as a form of learning in which a coherent hypothesis regarding a specific word-object mapping is formed often in conceptually constrained ways. The hypothesis will then be either accepted or rejected with additional evidence. However, proponents of the Associative Learning framework often characterize learning as aggregating information over time through implicit associative mechanisms. A learner acquires the meaning of a word when the association between the word and the referent becomes relatively strong. In this chapter, we consider these two psychological theories in the context of cross-situational word-referent learning. By reviewing recent empirical and cognitive modeling studies, our goal is to deepen our understanding of the underlying word learning mechanisms by examining and comparing the two theoretical learning accounts.
  • Zuidema, W., & Fitz, H. (2019). Key issues and future directions: Models of human language and speech processing. In P. Hagoort (Ed.), Human language: From genes and brain to behavior (pp. 353-358). Cambridge, MA: MIT Press.

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