Publications

Displaying 1 - 13 of 13
  • Bauer, B. L. M. (2021). Formation of numerals in the romance languages. In Oxford Research Encyclopedia of Linguistics. Oxford: Oxford University Press. doi:10.1093/acrefore/9780199384655.013.685.

    Abstract

    The Romance languages have a rich numeral system that includes cardinals—providing the bases on which the other types of numeral series are built—ordinals, fractions, collectives, approximatives, distributives, and multiplicatives. Latin plays a decisive and continued role in their formation, both as the language to which many numerals go back directly and as an ongoing source for lexemes and formatives. While the Latin numeral system was synthetic, with a distinct ending for each type of numeral, the Romance numerals often feature more than one (unevenly distributed) marker or structure per series, which feature varying degrees of inherited, borrowed, or innovative elements. Formal consistency is strongest in cardinals, followed by ordinals and then the other types of numeral, which also tend to be more analytic or periphrastic. From a morphological perspective, Romance numerals overall have moved away from the inherited syntheticity, but several series continue to be synthetic formations—at least in part—with morphological markers drawn from Latin that may have undergone functional change (e.g. distributive > ordinal > collective). The underlying syntax of Romance numerals is in line with the overall grammatical patterns of Romance languages, as reflected in the prevalence of word order (with arithmetical correlates), connectors, (partial) loss of agreement, and analyticity. Innovation is prominent in the formation of higher numerals with bases beyond ‘thousand’, of teens and decads in Romanian, and of vigesimals in numerous Romance varieties.
  • Levshina, N. (2021). Conditional inference trees and random forests. In M. Paquot, & T. Gries (Eds.), Practical Handbook of Corpus Linguistics (pp. 611-643). New York: Springer.
  • Mak, M., & Willems, R. M. (2021). Mental simulation during literary reading. In D. Kuiken, & A. M. Jacobs (Eds.), Handbook of empirical literary studies (pp. 63-84). Berlin: De Gruyter.

    Abstract

    Readers experience a number of sensations during reading. They do
    not – or do not only – process words and sentences in a detached, abstract
    manner. Instead they “perceive” what they read about. They see descriptions of
    scenery, feel what characters feel, and hear the sounds in a story. These sensa-
    tions tend to be grouped under the umbrella terms “mental simulation” and
    “mental imagery.” This chapter provides an overview of empirical research on
    the role of mental simulation during literary reading. Our chapter also discusses
    what mental simulation is and how it relates to mental imagery. Moreover, it
    explores how mental simulation plays a role in leading models of literary read-
    ing and investigates under what circumstances mental simulation occurs dur-
    ing literature reading. Finally, the effect of mental simulation on the literary
    reader’s experience is discussed, and suggestions and unresolved issues in this
    field are formulated.
  • Bauer, B. L. M. (2020). Appositive compounds in dialectal and sociolinguistic varieties of French. In M. Maiden, & S. Wolfe (Eds.), Variation and change in Gallo-Romance (pp. 326-346). Oxford: Oxford University Press.
  • Hagoort, P. (2020). Taal. In O. Van den Heuvel, Y. Van der Werf, B. Schmand, & B. Sabbe (Eds.), Leerboek neurowetenschappen voor de klinische psychiatrie (pp. 234-239). Amsterdam: Boom Uitgevers.
  • Misersky, J., & Redl, T. (2020). A psycholinguistic view on stereotypical and grammatical gender: The effects and remedies. In C. D. J. Bulten, C. F. Perquin-Deelen, M. H. Sinninghe Damsté, & K. J. Bakker (Eds.), Diversiteit. Een multidisciplinaire terreinverkenning (pp. 237-255). Deventer: Wolters Kluwer.
  • Hagoort, P. (2017). It is the facts, stupid. In J. Brockman, F. Van der Wa, & H. Corver (Eds.), Wetenschappelijke parels: het belangrijkste wetenschappelijke nieuws volgens 193 'briljante geesten'. Amsterdam: Maven Press.
  • Hagoort, P. (2017). The neural basis for primary and acquired language skills. In E. Segers, & P. Van den Broek (Eds.), Developmental Perspectives in Written Language and Literacy: In honor of Ludo Verhoeven (pp. 17-28). Amsterdam: Benjamins. doi:10.1075/z.206.02hag.

    Abstract

    Reading is a cultural invention that needs to recruit cortical infrastructure that was not designed for it (cultural recycling of cortical maps). In the case of reading both visual cortex and networks for speech processing are recruited. Here I discuss current views on the neurobiological underpinnings of spoken language that deviate in a number of ways from the classical Wernicke-Lichtheim-Geschwind model. More areas than Broca’s and Wernicke’s region are involved in language. Moreover, a division along the axis of language production and language comprehension does not seem to be warranted. Instead, for central aspects of language processing neural infrastructure is shared between production and comprehension. Arguments are presented in favor of a dynamic network view, in which the functionality of a region is co-determined by the network of regions in which it is embedded at particular moments in time. Finally, core regions of language processing need to interact with other networks (e.g. the attentional networks and the ToM network) to establish full functionality of language and communication. The consequences of this architecture for reading are discussed.
  • Coulson, S., & Lai, V. T. (Eds.). (2016). The metaphorical brain [Research topic]. Lausanne: Frontiers Media. doi:10.3389/978-2-88919-772-9.

    Abstract

    This Frontiers Special Issue will synthesize current findings on the cognitive neuroscience of metaphor, provide a forum for voicing novel perspectives, and promote new insights into the metaphorical brain.
  • Hagoort, P. (2016). MUC (Memory, Unification, Control): A Model on the Neurobiology of Language Beyond Single Word Processing. In G. Hickok, & S. Small (Eds.), Neurobiology of language (pp. 339-347). Amsterdam: Elsever. doi:10.1016/B978-0-12-407794-2.00028-6.

    Abstract

    A neurobiological model of language is discussed that overcomes the shortcomings of the classical Wernicke-Lichtheim-Geschwind model. It is based on a subdivision of language processing into three components: Memory, Unification, and Control. The functional components as well as the neurobiological underpinnings of the model are discussed. In addition, the need for extension beyond the classical core regions for language is shown. Attentional networks as well as networks for inferential processing are crucial to realize language comprehension beyond single word processing and beyond decoding propositional content.
  • Hagoort, P. (2016). Zij zijn ons brein. In J. Brockman (Ed.), Machines die denken: Invloedrijke denkers over de komst van kunstmatige intelligentie (pp. 184-186). Amsterdam: Maven Publishing.
  • De Nooijer, J. A., & Willems, R. M. (2016). What can we learn about cognition from studying handedness? Insights from cognitive neuroscience. In F. Loffing, N. Hagemann, B. Strauss, & C. MacMahon (Eds.), Laterality in sports: Theories and applications (pp. 135-153). Amsterdam: Elsevier.

    Abstract

    Can studying left- and right-handers inform us about cognition? In this chapter, we give an overview of research showing that studying left- and right-handers is informative for understanding the way the brain is organized (i.e., lateralized), as there appear to be differences between left- and right-handers in this respect, but also on the behavioral level handedness studies can provide new insights. According to theories of embodied cognition, our body can influence cognition. Given that left- and right-handers use their bodies differently, this might reflect their performance on an array of cognitive tasks. Indeed, handedness can have an influence on, for instance, what side of space we judge as more positive, the way we gesture, how we remember things, and how we learn new words. Laterality research can, therefore, provide valuable information as to how we act and why
  • Silva, S., Petersson, K. M., & Castro, S. (2016). Rhythm in the brain: Is music special? In D. Da Silva Marques, & J. Avila-Toscano (Eds.), Neuroscience to neuropsychology: The study of the human brain (pp. 29-54). Barranquilla, Colombia: Ediciones CUR.

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