Publications

Displaying 101 - 138 of 138
  • Norcliffe, E., & Konopka, A. E. (2015). Vision and language in cross-linguistic research on sentence production. In R. K. Mishra, N. Srinivasan, & F. Huettig (Eds.), Attention and vision in language processing (pp. 77-96). New York: Springer. doi:10.1007/978-81-322-2443-3_5.

    Abstract

    To what extent are the planning processes involved in producing sentences fine-tuned to grammatical properties of specific languages? In this chapter we survey the small body of cross-linguistic research that bears on this question, focusing in particular on recent evidence from eye-tracking studies. Because eye-tracking methods provide a very fine-grained temporal measure of how conceptual and linguistic planning unfold in real time, they serve as an important complement to standard psycholinguistic methods. Moreover, the advent of portable eye-trackers in recent years has, for the first time, allowed eye-tracking techniques to be used with language populations that are located far away from university laboratories. This has created the exciting opportunity to extend the typological base of vision-based psycholinguistic research and address key questions in language production with new language comparisons.
  • Norman, D. A., & Levelt, W. J. M. (1988). Life at the center. In W. Hirst (Ed.), The making of cognitive science: essays in honor of George A. Miller (pp. 100-109). Cambridge University Press.
  • O'Meara, C., Speed, L. J., San Roque, L., & Majid, A. (2019). Perception Metaphors: A view from diversity. In L. J. Speed, C. O'Meara, L. San Roque, & A. Majid (Eds.), Perception Metaphors (pp. 1-16). Amsterdam: Benjamins.

    Abstract

    Our bodily experiences play an important role in the way that we think and speak. Abstract language is, however, difficult to reconcile with this body-centred view, unless we appreciate the role metaphors play. To explore the role of the senses across semantic domains, we focus on perception metaphors, and examine their realisation across diverse languages, methods, and approaches. To what extent do mappings in perception metaphor adhere to predictions based on our biological propensities; and to what extent is there space for cross-linguistic and cross-cultural variation? We find that while some metaphors have widespread commonality, there is more diversity attested than should be comfortable for universalist accounts.
  • Ozyurek, A., & Woll, B. (2019). Language in the visual modality: Cospeech gesture and sign language. In P. Hagoort (Ed.), Human language: From genes and brain to behavior (pp. 67-83). Cambridge, MA: MIT Press.
  • Piai, V., & Zheng, X. (2019). Speaking waves: Neuronal oscillations in language production. In K. D. Federmeier (Ed.), Psychology of Learning and Motivation (pp. 265-302). Elsevier.

    Abstract

    Language production involves the retrieval of information from memory, the planning of an articulatory program, and executive control and self-monitoring. These processes can be related to the domains of long-term memory, motor control, and executive control. Here, we argue that studying neuronal oscillations provides an important opportunity to understand how general neuronal computational principles support language production, also helping elucidate relationships between language and other domains of cognition. For each relevant domain, we provide a brief review of the findings in the literature with respect to neuronal oscillations. Then, we show how similar patterns are found in the domain of language production, both through review of previous literature and novel findings. We conclude that neurophysiological mechanisms, as reflected in modulations of neuronal oscillations, may act as a fundamental basis for bringing together and enriching the fields of language and cognition.
  • Ravignani, A., Chiandetti, C., & Kotz, S. (2019). Rhythm and music in animal signals. In J. Choe (Ed.), Encyclopedia of Animal Behavior (vol. 1) (2nd ed., pp. 615-622). Amsterdam: Elsevier.
  • Rojas-Berscia, L. M. (2019). Nominalization in Shawi/Chayahuita. In R. Zariquiey, M. Shibatani, & D. W. Fleck (Eds.), Nominalization in languages of the Americas (pp. 491-514). Amsterdam: Benjamins.

    Abstract

    This paper deals with the Shawi nominalizing suffixes -su’~-ru’~-nu’ ‘general nominalizer’, -napi/-te’/-tun‘performer/agent nominalizer’, -pi’‘patient nominalizer’, and -nan ‘instrument nominalizer’. The goal of this article is to provide a description of nominalization in Shawi. Throughout this paper I apply the Generalized Scale Model (GSM) (Malchukov, 2006) to Shawi verbal nominalizations, with the intention of presenting a formal representation that will provide a basis for future areal and typological studies of nominalization. In addition, I dialogue with Shibatani’s model to see how the loss or gain of categories correlates with the lexical or grammatical nature of nominalizations. strong nominalization in Shawi correlates with lexical nominalization, whereas weak nominalizations correlate with grammatical nominalization. A typology which takes into account the productivity of the nominalizers is also discussed.
  • Rowland, C. F., & Kidd, E. (2019). Key issues and future directions: How do children acquire language? In P. Hagoort (Ed.), Human language: From genes and brain to behavior (pp. 181-185). Cambridge, MA: MIT Press.
  • Rubio-Fernández, P. (2019). Theory of mind. In C. Cummins, & N. Katsos (Eds.), The Handbook of Experimental Semantics and Pragmatics (pp. 524-536). Oxford: Oxford University Press.
  • Schiller, N. O., & Verdonschot, R. G. (2015). Accessing words from the mental lexicon. In J. Taylor (Ed.), The Oxford handbook of the word (pp. 481-492). Oxford: Oxford University Press.

    Abstract

    This chapter describes how speakers access words from the mental lexicon. Lexical access is a crucial
    component in the process of transforming thoughts into speech. Some theories consider lexical access to be
    strictly serial and discrete, while others view this process as being cascading or even interactive, i.e. the different
    sub-levels influence each other. We discuss some of the evidence in favour and against these viewpoints, and
    also present arguments regarding the ongoing debate on how words are selected for production. Another important
    issue concerns the access to morphologically complex words such as derived and inflected words, as well as
    compounds. Are these accessed as whole entities from the mental lexicon or are the parts assembled online? This
    chapter tries to provide an answer to that question as well.
  • Schriefers, H., & Vigliocco, G. (2015). Speech Production, Psychology of [Repr.]. In J. D. Wright (Ed.), International Encyclopedia of the Social & Behavioral Sciences (2nd ed) Vol. 23 (pp. 255-258). Amsterdam: Elsevier. doi:10.1016/B978-0-08-097086-8.52022-4.

    Abstract

    This article is reproduced from the previous edition, volume 22, pp. 14879–14882, © 2001, Elsevier Ltd.
  • Schubotz, L., Oostdijk, N., & Ernestus, M. (2015). Y’know vs. you know: What phonetic reduction can tell us about pragmatic function. In S. Lestrade, P. De Swart, & L. Hogeweg (Eds.), Addenda: Artikelen voor Ad Foolen (pp. 361-380). Njimegen: Radboud University.
  • Senft, G. (1998). 'Noble Savages' and the 'Islands of Love': Trobriand Islanders in 'Popular Publications'. In J. Wassmann (Ed.), Pacific answers to Western hegemony: Cultural practices of identity construction (pp. 119-140). Oxford: Berg Publishers.
  • Senft, G. (2019). Rituelle Kommunikation. In F. Liedtke, & A. Tuchen (Eds.), Handbuch Pragmatik (pp. 423-430). Stuttgart: J. B. Metzler. doi:10.1007/978-3-476-04624-6_41.

    Abstract

    Die Sprachwissenschaft hat den Begriff und das Konzept ›Rituelle Kommunikation‹ von der vergleichenden Verhaltensforschung übernommen. Humanethologen unterscheiden eine Reihe von sogenannten ›Ausdrucksbewegungen‹, die in der Mimik, der Gestik, der Personaldistanz (Proxemik) und der Körperhaltung (Kinesik) zum Ausdruck kommen. Viele dieser Ausdrucksbewegungen haben sich zu spezifischen Signalen entwickelt. Ethologen definieren Ritualisierung als Veränderung von Verhaltensweisen im Dienst der Signalbildung. Die zu Signalen ritualisierten Verhaltensweisen sind Rituale. Im Prinzip kann jede Verhaltensweise zu einem Signal werden, entweder im Laufe der Evolution oder durch Konventionen, die in einer bestimmten Gemeinschaft gültig sind, die solche Signale kulturell entwickelt hat und die von ihren Mitgliedern tradiert und gelernt werden.
  • Senft, G. (2015). The Trobriand Islanders' concept of karewaga. In S. Lestrade, P. de Swart, & L. Hogeweg (Eds.), Addenda. Artikelen voor Ad Foolen (pp. 381-390). Nijmegen: Radboud University.
  • Senft, G. (1998). Zeichenkonzeptionen in Ozeanien. In R. Posner, T. Robering, & T.. Sebeok (Eds.), Semiotics: A handbook on the sign-theoretic foundations of nature and culture (Vol. 2) (pp. 1971-1976). Berlin: de Gruyter.
  • Seuren, P. A. M. (1988). Lexical meaning and presupposition. In W. Hüllen, & R. Schulze (Eds.), Understanding the lexicon: Meaning, sense and world knowledge in lexical semantics (pp. 170-187). Tübingen: Niemeyer.
  • Seuren, P. A. M. (2015). Prestructuralist and structuralist approaches to syntax. In T. Kiss, & A. Alexiadou (Eds.), Syntax--theory and analysis: An international handbook (pp. 134-157). Berlin: Mouton de Gruyter.
  • Seuren, P. A. M. (2015). Taal is complexer dan je denkt - recursief. In S. Lestrade, P. De Swart, & L. Hogeweg (Eds.), Addenda. Artikelen voor Ad Foolen (pp. 393-400). Nijmegen: Radboud University.
  • Seuren, P. A. M. (1998). Towards a discourse-semantic account of donkey anaphora. In S. Botley, & T. McEnery (Eds.), New Approaches to Discourse Anaphora: Proceedings of the Second Colloquium on Discourse Anaphora and Anaphor Resolution (DAARC2) (pp. 212-220). Lancaster: Universiy Centre for Computer Corpus Research on Language, Lancaster University.
  • 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. (1988). Computer analysis of language data using the data transformation program TEXTWOLF in conjunction with a database system. In U. Jung (Ed.), Computers in applied linguistics and language teaching (pp. 155-159). Frankfurt am Main: Peter Lang.
  • Skiba, R. (1988). Computerunterstützte Analyse von sprachlichen Daten mit Hilfe des Datenumwandlungsprogramms TextWolf in Kombination mit einem Datenbanksystem. In B. Spillner (Ed.), Angewandte Linguistik und Computer (pp. 86-88). Tübingen: Gunter Narr.
  • De Sousa, H., Langella, F., & Enfield, N. J. (2015). Temperature terms in Lao, Southern Zhuang, Southern Pinghua and Cantonese. In M. Koptjevskaja-Tamm (Ed.), The linguistics of temperature (pp. 594-638). Amsterdam: Benjamins.
  • Stolker, C. J. J. M., & Poletiek, F. H. (1998). Smartengeld - Wat zijn we eigenlijk aan het doen? Naar een juridische en psychologische evaluatie. In F. Stadermann (Ed.), Bewijs en letselschade (pp. 71-86). Lelystad, The Netherlands: Koninklijke Vermande.
  • Suppes, P., Böttner, M., & Liang, L. (1998). Machine Learning of Physics Word Problems: A Preliminary Report. In A. Aliseda, R. van Glabbeek, & D. Westerståhl (Eds.), Computing Natural Language (pp. 141-154). Stanford, CA, USA: CSLI Publications.
  • 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.
  • Udden, J., & Schoffelen, J.-M. (2015). Mother of all Unification Studies (MOUS). In A. E. Konopka (Ed.), Research Report 2013 | 2014 (pp. 21-22). Nijmegen: Max Planck Institute for Psycholinguistics. doi:10.17617/2.2236748.
  • 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 Wijk, C., & Kempen, G. (1982). Kost zinsbouw echt tijd? In R. Stuip, & W. Zwanenberg (Eds.), Handelingen van het zevenendertigste Nederlands Filologencongres (pp. 223-231). Amsterdam: APA-Holland University Press.
  • Van Geenhoven, V. (1998). On the Argument Structure of some Noun Incorporating Verbs in West Greenlandic. In M. Butt, & W. Geuder (Eds.), The Projection of Arguments - Lexical and Compositional Factors (pp. 225-263). Stanford, CA, USA: CSLI Publications.
  • Van Valin Jr., R. D. (1998). The acquisition of WH-questions and the mechanisms of language acquisition. In M. Tomasello (Ed.), The new psychology of language: Cognitive and functional approaches to language structure (pp. 221-249). Mahwah, New Jersey: Erlbaum.
  • Van Heugten, M., Bergmann, C., & Cristia, A. (2015). The Effects of Talker Voice and Accent on Young Children's Speech Perception. In S. Fuchs, D. Pape, C. Petrone, & P. Perrier (Eds.), Individual Differences in Speech Production and Perception (pp. 57-88). Bern: Peter Lang.

    Abstract

    Within the first few years of life, children acquire many of the building blocks of their native language. This not only involves knowledge about the linguistic structure of spoken language, but also knowledge about the way in which this linguistic structure surfaces in their speech input. In this chapter, we review how infants and toddlers cope with differences between speakers and accents. Within the context of milestones in early speech perception, we examine how voice and accent characteristics are integrated during language processing, looking closely at the advantages and disadvantages of speaker and accent familiarity, surface-level deviation between two utterances, variability in the input, and prior speaker exposure. We conclude that although deviation from the child’s standard can complicate speech perception early in life, young listeners can overcome these additional challenges. This suggests that early spoken language processing is flexible and adaptive to the listening situation at hand.
  • 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.
  • Weissenborn, J. (1988). Von der demonstratio ad oculos zur Deixis am Phantasma. Die Entwicklung der lokalen Referenz bei Kindern. In Karl Bühler's Theory of Language. Proceedings of the Conference held at Kirchberg, August 26, 1984 and Essen, November 21–24, 1984 (pp. 257-276). Amsterdam: Benjamins.
  • Willems, R. M. (2015). Cognitive neuroscience of natural language use: Introduction. In Cognitive neuroscience of natural language use (pp. 1-7). Cambridge: 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.
  • 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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