Publications

Displaying 1901 - 1916 of 1916
  • Zuidema, W., French, R. M., Alhama, R. G., Ellis, K., O'Donnell, T. J. O., Sainburgh, T., & Gentner, T. Q. (2020). Five ways in which computational modeling can help advance cognitive science: Lessons from artificial grammar learning. Topics in Cognitive Science, 12(3), 925-941. doi:10.1111/tops.12474.

    Abstract

    There is a rich tradition of building computational models in cognitive science, but modeling, theoretical, and experimental research are not as tightly integrated as they could be. In this paper, we show that computational techniques—even simple ones that are straightforward to use—can greatly facilitate designing, implementing, and analyzing experiments, and generally help lift research to a new level. We focus on the domain of artificial grammar learning, and we give five concrete examples in this domain for (a) formalizing and clarifying theories, (b) generating stimuli, (c) visualization, (d) model selection, and (e) exploring the hypothesis space.
  • Zwitserlood, I., & Van Gijn, I. (2006). Agreement phenomena in Sign Language of the Netherlands. In P. Ackema (Ed.), Arguments and Agreement (pp. 195-229). Oxford: Oxford University Press.
  • Zwitserlood, I., van den Bogaerde, B., & Terpstra, A. (2010). De Nederlandse Gebarentaal en het ERK. Levende Talen Magazine, 2010(5), 50-51.
  • Zwitserlood, I. (2010). De Nederlandse Gebarentaal, het Corpus NGT en het ERK. Levende Talen Magazine, 2010(8), 44-45.
  • Zwitserlood, I., Ozyurek, A., & Perniss, P. M. (2008). Annotation of sign and gesture cross-linguistically. In O. Crasborn, E. Efthimiou, T. Hanke, E. D. Thoutenhoofd, & I. Zwitserlood (Eds.), Construction and Exploitation of Sign Language Corpora. 3rd Workshop on the Representation and Processing of Sign Languages (pp. 185-190). Paris: ELDA.

    Abstract

    This paper discusses the construction of a cross-linguistic, bimodal corpus containing three modes of expression: expressions from two sign languages, speech and gestural expressions in two spoken languages and pantomimic expressions by users of two spoken languages who are requested to convey information without speaking. We discuss some problems and tentative solutions for the annotation of utterances expressing spatial information about referents in these three modes, suggesting a set of comparable codes for the description of both sign and gesture. Furthermore, we discuss the processing of entered annotations in ELAN, e.g. relating descriptive annotations to analytic annotations in all three modes and performing relational searches across annotations on different tiers.
  • Zwitserlood, I. (2008). Grammatica-vertaalmethode en nederlandse gebarentaal. Levende Talen Magazine, 95(5), 28-29.
  • Zwitserlood, I. (2011). Gebruiksgemak van het eerste Nederlandse Gebarentaal woordenboek kan beter [Book review]. Levende Talen Magazine, 4, 46-47.

    Abstract

    Review: User friendliness of the first dictionary of Sign Language of the Netherlands can be improved
  • Zwitserlood, I. (2011). Gevraagd: medewerkers verzorgingshuis met een goede oog-handcoördinatie. Het meten van NGT-vaardigheid. Levende Talen Magazine, 1, 44-46.

    Abstract

    (Needed: staff for residential care home with good eye-hand coordination. Measuring NGT-skills.)
  • Zwitserlood, I. (2008). Morphology below the level of the sign - frozen forms and classifier predicates. In J. Quer (Ed.), Proceedings of the 8th Conference on Theoretical Issues in Sign Language Research (TISLR) (pp. 251-272). Hamburg: Signum Verlag.

    Abstract

    The lexicons of many sign languages hold large proportions of “frozen” forms, viz. signs that are generally considered to have been formed productively (as classifier predicates), but that have diachronically undergone processes of lexicalisation. Nederlandse Gebarentaal (Sign Language of the Netherlands; henceforth: NGT) also has many of these signs (Van der Kooij 2002, Zwitserlood 2003). In contrast to the general view on “frozen” forms, a few researchers claim that these signs may be formed according to productive sign formation rules, notably Brennan (1990) for BSL, and Meir (2001, 2002) for ISL. Following these claims, I suggest an analysis of “frozen” NGT signs as morphologically complex, using the framework of Distributed Morphology. The signs in question are derived in a similar way as classifier predicates; hence their similar form (but diverging characteristics). I will indicate how and why the structure and use of classifier predicates and “frozen” forms differ. Although my analysis focuses on NGT, it may also be applicable to other sign languages.
  • Zwitserlood, I. (2010). Laat je vingers spreken: NGT en vingerspelling. Levende Talen Magazine, 2010(2), 46-47.
  • Zwitserlood, I. (2011). Het Corpus NGT en de dagelijkse lespraktijk. Levende Talen Magazine, 6, 46.

    Abstract

    (The Corpus NGT and the daily practice of language teaching)
  • Zwitserlood, I. (2010). Het Corpus NGT en de dagelijkse lespraktijk (2). Levende Talen Magazine, 2010(3), 47-48.
  • Zwitserlood, I. (2011). Het Corpus NGT en de opleiding leraar/tolk NGT. Levende Talen Magazine, 1, 40-41.

    Abstract

    (The Corpus NGT and teacher NGT/interpreter NGT training)
  • Zwitserlood, I. (2010). Sign language lexicography in the early 21st century and a recently published dictionary of Sign Language of the Netherlands. International Journal of Lexicography, 23, 443-476. doi:10.1093/ijl/ecq031.

    Abstract

    Sign language lexicography has thus far been a relatively obscure area in the world of lexicography. Therefore, this article will contain background information on signed languages and the communities in which they are used, on the lexicography of sign languages, the situation in the Netherlands as well as a review of a sign language dictionary that has recently been published in the Netherlands.
  • Zwitserlood, I., & Crasborn, O. (2010). Wat kunnen we leren uit een Corpus Nederlandse Gebarentaal? WAP Nieuwsbrief, 28(2), 16-18.
  • Zwitserlood, I. (2010). Verlos ons van de glos. Levende Talen Magazine, 2010(7), 40-41.

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