Publications

Displaying 101 - 111 of 111
  • Stolz, C. (1996). Bloxes: an interactive task for the elicitation of dimensional expressions. In S. C. Levinson (Ed.), Manual for the 1996 Field Season (pp. 25-31). Nijmegen: Max Planck Institute for Psycholinguistics. doi:10.17617/2.3003352.

    Abstract

    “Dimensional expressions” single out and describe one symmetric axis of a 1D, 2D, or 3D object (e.g., The road is long). “Bloxes” is an interactive, object-matching task that elicits descriptions of dimensional contrasts between simple geometrical objects (rectangular blocks, rectangular boxes, and cylinders). The aim is to explore the linguistic encoding of dimensions, focusing on features of axis, orientation, flatness/solidity, size and shape. See also 'Suggestions for field research on dimensional expressions' (https://doi.org/10.17617/2.3003382).
  • Stolz, C. (1996). Suggestions for field research on dimensional expressions. In S. C. Levinson (Ed.), Manual for the 1996 Field Season (pp. 32-45). Nijmegen: Max Planck Institute for Psycholinguistics. doi:10.17617/2.3003382.

    Abstract

    The aim of this task is to explore the linguistic expression of “dimensions” — e.g., the height, width or depth — of objects in the world around us. In a dimensional expression, one symmetric axis of a 1D, 2D, or 3D object is singled out and described (e.g., That man is tall). Dimensional expressions in different languages show a range of different combinatorial and extensional uses. This document guides the researcher through some spatial situations where contrastive features of dimensional expressions are likely to be observable.
  • Suppes, P., Böttner, M., & Liang, L. (1996). Machine learning comprehension grammars for ten languages. Computational Linguistics, 22(3), 329-350.
  • Swinney, D. A., Zurif, E. B., & Cutler, A. (1980). Effects of sentential stress and word class upon comprehension in Broca’s aphasics. Brain and Language, 10, 132-144. doi:10.1016/0093-934X(80)90044-9.

    Abstract

    The roles which word class (open/closed) and sentential stress play in the sentence comprehension processes of both agrammatic (Broca's) aphasics and normal listeners were examined with a word monitoring task. Overall, normal listeners responded more quickly to stressed than to unstressed items, but showed no effect of word class. Aphasics also responded more quickly to stressed than to unstressed materials, but, unlike the normals, responded faster to open than to closed class words regardless of their stress. The results are interpreted as support for the theory that Broca's aphasics lack the functional underlying open/closed class word distinction used in word recognition by normal listeners.
  • Van Berkum, J. J. A. (1996). De taalpsychologie van genus. NEDER-L, Electronisch Tijdschrift voor de Neerlandistiek, (9601.a ): 9601.04.
  • Van Wijk, C., & Kempen, G. (1980). Functiewoorden: Een inventarisatie voor het Nederlands. ITL: Review of Applied Linguistics, 53-68.
  • Van Donselaar, W., Kuijpers, C., & Cutler, A. (1996). How do Dutch listeners process words with epenthetic schwa? In H. T. Bunnell (Ed.), Proceedings of the Fourth International Conference on Spoken Language Processing: Vol. 1 (pp. 149-152). New York: Institute of Electrical and Electronics Engineers.

    Abstract

    Dutch words with certain final consonant clusters are subject to optional schwa epenthesis. The present research aimed at investigating how Dutch listeners deal with this type of phonological variation. By means of syllable monitoring experiments, it was investigated whether Dutch listeners process words with epenthetic schwa (e.g., ’balluk’) as bisyllabic words or rather as monosyllabic words. Real words (e.g., ’balk’, ’balluk’) and pseudowords (e.g., ’golk’, ’golluk’) were compared, to examine effects of lexical representation. No difference was found between monitoring times for BAL targets in ’balluk’ carriers as compared to ’balk’ carriers. This suggests that words with epenthetic schwa are not processed as bisyllabic words. The effects for the pseudo-words paralleled those for the real words, which suggests that they are not due to lexical representation but rather to the application of phonological rules.
  • Van Berkum, J. J. A. (1996). The psycholinguistics of grammatical gender: Studies in language comprehension and production. PhD Thesis, University of Nijmegen.
  • Van Berkum, J. J. A. (1996). The linguistics of gender. In The psycholinguistics of grammatical gender: Studies in language comprehension and production (pp. 14-44). Nijmegen University Press.

    Abstract

    This chapter explores grammatical gender as a linguistic phenomenon. First, I define gender in terms of agreement, and look at the parts of speech that can take gender agreement. Because it relates to assumptions underlying much psycholinguistic gender research, I also examine the reasons why gender systems are thought to emerge, change, and disappear. Then, I describe the gender system of Dutch. The frequent confusion about the number of genders in Dutch will be resolved by looking at the history of the system, and the role of pronominal reference therein. In addition, I report on three lexical- statistical analyses of the distribution of genders in the language. After having dealt with Dutch, I look at whether the genders of Dutch and other languages are more or less randomly assigned, or whether there is some system to it. In contrast to what many people think, regularities do indeed exist. Native speakers could in principle exploit such regularities to compute rather than memorize gender, at least in part. Although this should be taken into account as a possibility, I will also argue that it is by no means a necessary implication.
  • Weterman, M. A. J., Wilbrink, M. J. M., Janssen, I. M., Janssen, H. A. P., Berg, E. v. d., Fisher, S. E., Craig, I., & Geurts van Kessel, A. H. M. (1996). Molecular cloning of the papillary renal cell carcinoma-associated translocation (X;1)(p11;q21) breakpoint. Cytogenetic and genome research, 75(1), 2-6. doi:10.1159/000134444.

    Abstract

    A combination of Southern blot analysis on a panel of tumor-derived somatic cell hybrids and fluorescence in situ hybridization techniques was used to map YACs, cosmids and DNA markers from the Xp11.2 region relative to the X chromosome breakpoint of the renal cell carcinoma-associated t(X;1)(p11;q21). The position of the breakpoint could be determined as follows: Xcen-OATL2-DXS146-DXS255-SYP-t(X;1)-TFE 3-OATL1-Xpter. Fluorescence in situ hybridization experiments using TFE3-containing YACs and cosmids revealed split signals indicating that the corresponding DNA inserts span the breakpoint region. Subsequent Southern blot analysis showed that a 2.3-kb EcoRI fragment which is present in all TFE3 cosmids identified, hybridizes to aberrant restriction fragments in three independent t(X;1)-positive renal cell carcinoma DNAs. The breakpoints in these tumors are not the same, but map within a region of approximately 6.5 kb. Through preparative gel electrophoresis an (X;1) chimaeric 4.4-kb EcoRI fragment could be isolated which encompasses the breakpoint region present on der(X). Preliminary characterization of this fragment revealed the presence of a 150-bp region with a strong homology to the 5' end of the mouse TFE3 cDNA in the X-chromosome part, and a 48-bp segment in the chromosome 1-derived part identical to the 5' end of a known EST (accession number R93849). These observations suggest that a fusion gene is formed between the two corresponding genes in t(X;1)(p11;q21)-positive papillary renal cell carcinomas.
  • Wittenburg, P., van Kuijk, D., & Dijkstra, T. (1996). Modeling human word recognition with sequences of artificial neurons. In C. von der Malsburg, W. von Seelen, J. C. Vorbrüggen, & B. Sendhoff (Eds.), Artificial Neural Networks — ICANN 96. 1996 International Conference Bochum, Germany, July 16–19, 1996 Proceedings (pp. 347-352). Berlin: Springer.

    Abstract

    A new psycholinguistically motivated and neural network based model of human word recognition is presented. In contrast to earlier models it uses real speech as input. At the word layer acoustical and temporal information is stored by sequences of connected sensory neurons which pass on sensor potentials to a word neuron. In experiments with a small lexicon which includes groups of very similar word forms, the model meets high standards with respect to word recognition and simulates a number of wellknown psycholinguistical effects.

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