Publications

Displaying 101 - 131 of 131
  • Reesink, G. (2002). A grammar sketch of Sougb. In G. Reesink (Ed.), Languages of the Eastern Bird's Head (pp. 181-275). Canberra: Pacific Linguistics.
  • Reesink, G. (2002). Mansim, a lost language of the Bird's Head. In G. Reesink (Ed.), Languages of the Eastern Bird's Head (pp. 277-340). Canberra: Pacific Linguistics.
  • Roelofs, A. (2002). Storage and computation in spoken word production. In S. Nooteboom, F. Weerman, & F. Wijnen (Eds.), Storage and computation in the language faculty (pp. 183-216). Dordrecht: Kluwer.
  • Roelofs, A. (2002). Modeling of lexical access in speech production: A psycholinguistic perspective on the lexicon. In L. Behrens, & D. Zaefferer (Eds.), The lexicon in focus: Competition and convergence in current lexicology (pp. 75-92). Frankfurt am Main: Lang.
  • 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.
  • Rossi, G. (2021). Conversation analysis (CA). In J. Stanlaw (Ed.), The International Encyclopedia of Linguistic Anthropology. Wiley-Blackwell. doi:10.1002/9781118786093.iela0080.

    Abstract

    Conversation analysis (CA) is an approach to the study of language and social interaction that puts at center stage its sequential development. The chain of initiating and responding actions that characterizes any interaction is a source of internal evidence for the meaning of social behavior as it exposes the understandings that participants themselves give of what one another is doing. Such an analysis requires the close and repeated inspection of audio and video recordings of naturally occurring interaction, supported by transcripts and other forms of annotation. Distributional regularities are complemented by a demonstration of participants' orientation to deviant behavior. CA has long maintained a constructive dialogue and reciprocal influence with linguistic anthropology. This includes a recent convergence on the cross-linguistic and cross-cultural study of social interaction.
  • 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.
  • Saito, H., & Kita, S. (2002). "Jesuchaa, kooi, imi" no hennshuu ni atat te [On the occasion of editing "Jesuchaa, Kooi, imi"]. In H. Saito, & S. Kita (Eds.), Kooi, jesuchaa, imi [Action, gesture, meaning] (pp. v-xi). Tokyo: Kyooritsu Shuppan.
  • Schiller, N. O., Costa, A., & Colomé, A. (2002). Phonological encoding of single words: In search of the lost syllable. In C. Gussenhoven, & N. Warner (Eds.), Laboratory Phonology VII (pp. 35-59). Berlin: Mouton de Gruyter.
  • Schiller, N. O. (2002). From phonetics to cognitive psychology: Psycholinguistics has it all. In A. Braun, & H. Masthoff (Eds.), Phonetics and its Applications. Festschrift for Jens-Peter Köster on the Occasion of his 60th Birthday. [Beihefte zur Zeitschrift für Dialektologie und Linguistik; 121] (pp. 13-24). Stuttgart: Franz Steiner Verlag.
  • Schriefers, H., Meyer, A. S., & Levelt, W. J. M. (2002). Exploring the time course of lexical access in language production: Picture word interference studies. In G. Altmann (Ed.), Psycholinguistics: Critical Concepts in Psychology [vol. 5] (pp. 168-191). London: Routledge.
  • Seifart, F. (2002). Shape-distinctions picture-object matching task, with 2002 supplement. In S. Kita (Ed.), 2002 Supplement (version 3) for the “Manual” for the field season 2001 (pp. 15-17). Nijmegen: Max Planck Institute for Psycholinguistics.
  • Senft, G. (2021). A very special letter. In T. Szczerbowski (Ed.), Language "as round as an orange".. In memory of Professor Krystyna Pisarkowa on the 90th anniversary of her birth (pp. 367). Krakow: Uniwersytetu Pedagogicznj.
  • Senft, G. (2002). Feldforschung in einer deutschen Fabrik - oder: Trobriand ist überall. In H. Fischer (Ed.), Feldforschungen. Erfahrungsberichte zur Einführung (Neufassung) (pp. 207-226). Berlin: Reimer.
  • Senft, G. (2002). Linguistische Feldforschung. In H. M. Müller (Ed.), Arbeitsbuch Linguistik (pp. 353-363). Paderborn: Schöningh UTB.
  • 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.
  • Seuren, P. A. M. (2002). Pseudoarguments and pseudocomplements. In B. Nevin (Ed.), The legacy of Zellig Harris: Language and information into the 21st Century: 1 Philosophy of Science, Syntax, and Semantics (pp. 179-206). Amsterdam: John Benjamins.
  • Seuren, P. A. M. (2002). Clitic clusters in French and Italian. In H. Jacobs, & L. Wetzels (Eds.), Liber Amicorum Bernard Bichakjian (pp. 217-233). Maastricht: Shaker.
  • 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.
  • Slobin, D. I. (2002). Cognitive and communicative consequences of linguistic diversity. In S. Strömqvist (Ed.), The diversity of languages and language learning (pp. 7-23). Lund, Sweden: Lund University, Centre for Languages and Literature.
  • 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.
  • 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.
  • Trujillo, J. P., Levinson, S. C., & Holler, J. (2021). Visual information in computer-mediated interaction matters: Investigating the association between the availability of gesture and turn transition timing in conversation. In M. Kurosu (Ed.), Human-Computer Interaction. Design and User Experience Case Studies. HCII 2021 (pp. 643-657). Cham: Springer. doi:10.1007/978-3-030-78468-3_44.

    Abstract

    Natural human interaction involves the fast-paced exchange of speaker turns. Crucially, if a next speaker waited with planning their turn until the current speaker was finished, language production models would predict much longer turn transition times than what we observe. Next speakers must therefore prepare their turn in parallel to listening. Visual signals likely play a role in this process, for example by helping the next speaker to process the ongoing utterance and thus prepare an appropriately-timed response.

    To understand how visual signals contribute to the timing of turn-taking, and to move beyond the mostly qualitative studies of gesture in conversation, we examined unconstrained, computer-mediated conversations between 20 pairs of participants while systematically manipulating speaker visibility. Using motion tracking and manual gesture annotation, we assessed 1) how visibility affected the timing of turn transitions, and 2) whether use of co-speech gestures and 3) the communicative kinematic features of these gestures were associated with changes in turn transition timing.

    We found that 1) decreased visibility was associated with less tightly timed turn transitions, and 2) the presence of gestures was associated with more tightly timed turn transitions across visibility conditions. Finally, 3) structural and salient kinematics contributed to gesture’s facilitatory effect on turn transition times.

    Our findings suggest that speaker visibility--and especially the presence and kinematic form of gestures--during conversation contributes to the temporal coordination of conversational turns in computer-mediated settings. Furthermore, our study demonstrates that it is possible to use naturalistic conversation and still obtain controlled results.
  • 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.
  • Vernes, S. C., Janik, V. M., Fitch, W. T., & Slater, P. J. B. (Eds.). (2021). Vocal learning in animals and humans [Special Issue]. Philosophical Transactions of the Royal Society of London, Series B: Biological Sciences, 376.
  • 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.
  • Wittenburg, P., Broeder, D., Offenga, F., & Willems, D. (2002). Metadata set and tools for multimedia/multimodal language resources. In M. Maybury (Ed.), Proceedings of the 3rd International Conference on Language Resources and Evaluation (LREC 2002). Workshop on Multimodel Resources and Multimodel Systems Evaluation. (pp. 9-13). Paris: European Language Resources Association.
  • 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.
  • Zwitserlood, I. (2002). Klassifikatoren in der Niederländischen Gebärdensprache (NGT). In H. Leuniger, & K. Wempe (Eds.), Gebärdensprachlinguistik 2000. Theorie und Anwendung. Vorträge vom Symposium "Gebärdensprachforschung im deutschsprachigem Raum", Frankfurt a.M., 11.-13. Juni 1999 (pp. 113-126). Hamburg: Signum Verlag.

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