Pim Levelt

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Displaying 1 - 9 of 9
  • Levelt, W. J. M. (2019). How Speech Evolved: Some Historical Remarks. Journal of Speech, Language, and Hearing Research, 62(8S), 2926-2931. doi:10.1044/2019_JSLHR-S-CSMC7-19-0017.

    Abstract

    The evolution of speech and language has been a returning topic in the language sciences since the so-called “cognitive revolution.”
  • Levelt, W. J. M. (2019). On empirical methodology, constraints, and hierarchy in artificial grammar learning. Topics in Cognitive Science. doi:10.1111/tops.12441.

    Abstract

    This paper considers the AGL literature from a psycholinguistic perspective. It first presents a taxonomy of the experimental familiarization test procedures used, which is followed by a consideration of shortcomings and potential improvements of the empirical methodology. It then turns to reconsidering the issue of grammar learning from the point of view of acquiring constraints, instead of the traditional AGL approach in terms of acquiring sets of rewrite rules. This is, in particular, a natural way of handling long‐distance dependences. The final section addresses an underdeveloped issue in the AGL literature, namely how to detect latent hierarchical structure in AGL response patterns.
  • Levelt, W. J. M. (1976). Formal grammars and the natural language user: A review. In A. Marzollo (Ed.), Topics in artificial intelligence (pp. 226-290). Vienna: Springer.
  • Levelt, W. J. M., Schreuder, R., & Hoenkamp, E. (1976). Struktur und Gebrauch von Bewegungsverben. Zeitschrift für Literaturwissenschaft und Linguistik, 6(23/24), 131-152.
  • Levelt, W. J. M., & Kempen, G. (1976). Taal. In J. Michon, E. Eijkman, & L. De Klerk (Eds.), Handboek der Psychonomie (pp. 492-523). Deventer: Van Loghum Slaterus.
  • Stassen, H., & Levelt, W. J. M. (1976). Systemen, automaten en grammatica's. In J. Michon, E. Eijkman, & L. De Klerk (Eds.), Handboek der psychonomie (pp. 100-127). Deventer: Van Loghum Slaterus.
  • De Weert, C., & Levelt, W. J. M. (1976). Comparison of normal and dichoptic colour mixing. Vision Research, 16, 59-70. doi:10.1016/0042-6989(76)90077-8.

    Abstract

    Dichoptic mixtures of equiluminous components of different wavelengths were matched with a binocularly presented "monocular" mixture of appropriate chosen amounts of the same colour components. Stimuli were chosen from the region of 490-630 nm. Although satisfactory colour matches could be obtained, dichoptic mixtures differed from normal mixtures to a considerable extent. Midspectral stimuli tended to be more dominant in the dichoptic mixtures than either short or long wavelength stimuli. An attempt was made to describe the relation between monocular and dichoptic mixtures with one function containing a wavelength variable and an eye dominance parameter.
  • De Weert, C., & Levelt, W. J. M. (1976). Dichoptic brightness combinations for unequally coloured lights. Vision Research, 16, 1077-1086.
  • Van de Geer, J. P., & Levelt, W. J. M. (1963). Detection of visual patterns disturbed by noise: An exploratory study. Quarterly Journal of Experimental Psychology, 15, 192-204. doi:10.1080/17470216308416324.

    Abstract

    An introductory study of the perception of stochastically specified events is reported. The initial problem was to determine whether the perceiver can split visual input data of this kind into random and determined components. The inability of subjects to do so with the stimulus material used (a filmlike sequence of dot patterns), led to the more general question of how subjects code this kind of visual material. To meet the difficulty of defining the subjects' responses, two experiments were designed. In both, patterns were presented as a rapid sequence of dots on a screen. The patterns were more or less disturbed by “noise,” i.e. the dots did not appear exactly at their proper places. In the first experiment the response was a rating on a semantic scale, in the second an identification from among a set of alternative patterns. The results of these experiments give some insight in the coding systems adopted by the subjects. First, noise appears to be detrimental to pattern recognition, especially to patterns with little spread. Second, this shows connections with the factors obtained from analysis of the semantic ratings, e.g. easily disturbed patterns show a large drop in the semantic regularity factor, when only a little noise is added.

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