Publications

Displaying 201 - 231 of 231
  • Seuren, P. A. M. (1994). Function, set-theoretical. In R. E. Asher, & J. M. Y. Simpson (Eds.), The Encyclopedia of Language and Linguistics (vol. 3) (pp. 1314). Oxford: Pergamon Press.
  • Seuren, P. A. M., & Bronzwaer, W. J. M. (1994). Ik besta, dus ik lieg of de grenzen van de taal: Opmaat tot een debat. Nijmegen: Faculteit der Letteren, Katholieke Universiteit Nijmegen.
  • Seuren, P. A. M. (1994). Incrementation. In R. E. Asher, & J. M. Y. Simpson (Eds.), The Encyclopedia of Language and Linguistics (vol. 3) (pp. 1646). Oxford: Pergamon Press.
  • Seuren, P. A. M. (1994). Lexical conditions. In R. E. Asher, & J. M. Y. Simpson (Eds.), The Encyclopedia of Language and Linguistics (vol. 4) (pp. 2140-2141). Oxford: Pergamon Press.
  • Seuren, P. A. M. (1994). Existence predicate (discourse semantics). In R. E. Asher, & J. M. Y. Simpson (Eds.), The Encyclopedia of Language and Linguistics (vol. 3) (pp. 1190-1191). Oxford: Pergamon Press.
  • Seuren, P. A. M. (1994). Existential presupposition. In R. E. Asher, & J. M. Y. Simpson (Eds.), The Encyclopedia of Language and Linguistics (vol. 3) (pp. 1191-1192). Oxford: Pergamon Press.
  • Seuren, P. A. M. (1989). Notes on reflexivity. In F. J. Heyvaert, & F. Steurs (Eds.), Worlds behind words: Essays in honour of Prof. Dr. F.G. Droste on the occasion of his sixtieth birthday (pp. 85-95). Leuven: Leuven University Press.
  • Seuren, P. A. M. (1994). Presupposition. In R. E. Asher, & J. M. Y. Simpson (Eds.), The Encyclopedia of Language and Linguistics (vol. 6) (pp. 3311-3320). Oxford: Pergamon Press.
  • Seuren, P. A. M. (1994). Projection problem. In R. E. Asher, & J. M. Y. Simpson (Eds.), The Encyclopedia of Language and Linguistics (vol. 6) (pp. 3358-3360). Oxford: Pergamon Press.
  • Seuren, P. A. M. (2000). Pseudocomplementen. In H. Den Besten, E. Elffers, & J. Luif (Eds.), Samengevoegde woorden. Voor Wim Klooster bij zijn afscheid als hoogleraar (pp. 231-237). Amsterdam: Leerstoelgroep Nederlandse Taalkunde, Universiteit van Amsterdam.
  • Seuren, P. A. M. (1994). Sign. In R. E. Asher, & J. M. Y. Simpson (Eds.), The Encyclopedia of Language and Linguistics (vol. 7) (pp. 3885-3888). Oxford: Pergamon Press.
  • Seuren, P. A. M. (1994). Syntax and semantics: Relationship. In R. E. Asher, & J. M. Y. Simpson (Eds.), The Encyclopedia of Language and Linguistics (vol. 8) (pp. 4494-4500). Oxford: Pergamon Press.
  • Seuren, P. A. M. (1994). Prediction and retrodiction. In R. E. Asher, & J. M. Y. Simpson (Eds.), The Encyclopedia of Language and Linguistics (vol. 6) (pp. 3302-3303). Oxford: Pergamon Press.
  • Seuren, P. A. M. (1977). Zwischen Sprache und Denken: ein Beitrag zur empirischen Begründung der Semantik. Wiesbaden: Athenaion.
  • Sjerps, M. J., & Chang, E. F. (2019). The cortical processing of speech sounds in the temporal lobe. In P. Hagoort (Ed.), Human language: From genes and brain to behavior (pp. 361-379). Cambridge, MA: MIT Press.
  • Skiba, R. (1989). Funktionale Beschreibung von Lernervarietäten: Das Berliner Projekt P-MoLL. In N. Reiter (Ed.), Sprechen und Hören: Akte des 23. Linguistischen Kolloquiums, Berlin (pp. 181-191). Tübingen: Niemeyer.
  • De Smedt, K., & Kempen, G. (1987). Incremental sentence production, self-correction, and coordination. In G. Kempen (Ed.), Natural language generation: New results in artificial intelligence, psychology and linguistics (pp. 365-376). Dordrecht: Nijhoff.
  • Spapé, M., Verdonschot, R. G., & Van Steenbergen, H. (2019). The E-Primer: An introduction to creating psychological experiments in E-Prime® (2nd ed. updated for E-Prime 3). Leiden: Leiden University Press.

    Abstract

    E-Prime® is the leading software suite by Psychology Software Tools for designing and running Psychology lab experiments. The E-Primer is the perfect accompanying guide: It provides all the necessary knowledge to make E-Prime accessible to everyone. You can learn the tools of Psychological science by following the E-Primer through a series of entertaining, step-by-step recipes that recreate classic experiments. The updated E-Primer expands its proven combination of simple explanations, interesting tutorials and fun exercises, and makes even the novice student quickly confident to create their dream experiment.
  • Speed, L. J., O'Meara, C., San Roque, L., & Majid, A. (Eds.). (2019). Perception Metaphors. Amsterdam: Benjamins.

    Abstract

    Metaphor allows us to think and talk about one thing in terms of another, ratcheting up our cognitive and expressive capacity. It gives us concrete terms for abstract phenomena, for example, ideas become things we can grasp or let go of. Perceptual experience—characterised as physical and relatively concrete—should be an ideal source domain in metaphor, and a less likely target. But is this the case across diverse languages? And are some sensory modalities perhaps more concrete than others? This volume presents critical new data on perception metaphors from over 40 languages, including many which are under-studied. Aside from the wealth of data from diverse languages—modern and historical; spoken and signed—a variety of methods (e.g., natural language corpora, experimental) and theoretical approaches are brought together. This collection highlights how perception metaphor can offer both a bedrock of common experience and a source of continuing innovation in human communication
  • Sumer, B., Perniss, P. M., & Ozyurek, A. (2017). A first study on the development of spatial viewpoint in sign language acquisition: The case of Turkish Sign Language. In F. N. Ketrez, A. C. Kuntay, S. Ozcalıskan, & A. Ozyurek (Eds.), Social Environment and Cognition in Language Development: Studies in Honor of Ayhan Aksu-Koc (pp. 223-240). Amsterdam: John Benjamins. doi:10.1075/tilar.21.14sum.

    Abstract

    The current study examines, for the first time, the viewpoint preferences of signing children in expressing spatial relations that require imposing a viewpoint (left-right, front-behind). We elicited spatial descriptions from deaf children (4–9 years of age) acquiring Turkish Sign Language (TİD) natively from their deaf parents and from adult native signers of TİD. Adults produced these spatial descriptions from their own viewpoint and from that of their addressee depending on whether the objects were located on the lateral or the sagittal axis. TİD-acquiring children, on the other hand, described all spatial configurations from their own viewpoint. Differences were also found between children and adults in the type of linguistic devices and how they are used to express such spatial relations.
  • Takashima, A., & Bakker, I. (2017). Memory consolidation. In H.-J. Schmid (Ed.), Entrenchment and the Psychology of Language Learning: How We Reorganize and Adapt Linguistic Knowledge (pp. 177-200). Berlin: De Gruyter Mouton.
  • Thomaz, A. L., Lieven, E., Cakmak, M., Chai, J. Y., Garrod, S., Gray, W. D., Levinson, S. C., Paiva, A., & Russwinkel, N. (2019). Interaction for task instruction and learning. In K. A. Gluck, & J. E. Laird (Eds.), Interactive task learning: Humans, robots, and agents acquiring new tasks through natural interactions (pp. 91-110). Cambridge, MA: MIT Press.
  • 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 Gijn, R., Hammarström, H., Van de Kerke, S., Krasnoukhova, O., & Muysken, P. (2017). Linguistic Areas, Linguistic Convergence and River Systems in South America. In R. Hickey (Ed.), The Cambridge Handbook of Areal Linguistics (pp. 964-996). Cambridge: Cambridge University Press. doi:10.1017/9781107279872.034.
  • Van Valin Jr., R. D. (1994). Extraction restrictions, competing theories and the argument from the poverty of the stimulus. In S. D. Lima, R. Corrigan, & G. K. Iverson (Eds.), The reality of linguistic rules (pp. 243-259). Amsterdam: Benjamins.
  • 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.
  • Von Stutterheim, C., & Klein, W. (1989). Referential movement in descriptive and narrative discourse. In R. Dietrich, & C. F. Graumann (Eds.), Language processing in social context (pp. 39-76). Amsterdam: Elsevier.
  • Zavala, R. (2000). Multiple classifier systems in Akatek (Mayan). In G. Senft (Ed.), Systems of nominal classification (pp. 114-146). Cambridge University Press.
  • 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.
  • De Zubicaray, G., & Fisher, S. E. (Eds.). (2017). Genes, brain and language [Special Issue]. Brain and Language, 172.
  • 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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