Publications

Displaying 101 - 162 of 162
  • Levinson, S. C. (1992). Space in Australian Languages Questionnaire. In S. C. Levinson (Ed.), Space stimuli kit 1.2 (pp. 29-40). Nijmegen: Max Planck Institute for Psycholinguistics.

    Abstract

    This questionnaire is designed to explore how spatial relations are encoded in Australian language, but may be of interest to researchers further afield.
  • Levinson, S. C. (1992). Space in Australian Languages Questionnaire. In S. C. Levinson (Ed.), Space stimuli kit 1.2 (pp. 29-40). Nijmegen: Max Planck Institute for Psycholinguistics. doi:10.17617/2.3512641.

    Abstract

    This questionnaire is designed to explore how spatial relations are encoded in Australian language, but may be of interest to researchers further afield.
  • Levinson, S. C. (1992). Activity types and language. In P. Drew, & J. Heritage (Eds.), Talk at work: Interaction in institutional settings (pp. 66-100). Cambridge University Press.
  • Levinson, S. C. (1989). Conversation. In E. Barnouw (Ed.), International encyclopedia of communications (pp. 407-410). New York: Oxford University Press.
  • Levinson, S. C. (1991). Deixis. In W. Bright (Ed.), Oxford international encyclopedia of linguistics (pp. 343-344). Oxford University Press.
  • Levinson, S. C., Brown, P., Danzinger, E., De León, L., Haviland, J. B., Pederson, E., & Senft, G. (1992). Man and Tree & Space Games. In S. C. Levinson (Ed.), Space stimuli kit 1.2 (pp. 7-14). Nijmegen: Max Planck Institute for Psycholinguistics. doi:10.17617/2.2458804.

    Abstract

    These classic tasks can be used to explore spatial reference in field settings. They provide a language-independent metric for eliciting spatial language, using a “director-matcher” paradigm. The Man and Tree task deals with location on the horizontal plane with both featured (man) and non-featured (e.g., tree) objects. The Space Games depict various objects (e.g. bananas, lemons) and elicit spatial contrasts not obviously lexicalisable in English.
  • Levinson, S. C., & Toni, I. (2019). Key issues and future directions: Interactional foundations of language. In P. Hagoort (Ed.), Human language: From genes and brain to behavior (pp. 257-261). Cambridge, MA: MIT Press.
  • Levinson, S. C. (2019). Interactional foundations of language: The interaction engine hypothesis. In P. Hagoort (Ed.), Human language: From genes and brain to behavior (pp. 189-200). Cambridge, MA: MIT Press.
  • Levinson, S. C. (2019). Natural forms of purposeful interaction among humans: What makes interaction effective? In K. A. Gluck, & J. E. Laird (Eds.), Interactive task learning: Humans, robots, and agents acquiring new tasks through natural interactions (pp. 111-126). Cambridge, MA: MIT Press.
  • Levinson, S. C., & Annamalai, E. (1992). Why presuppositions aren't conventional. In R. N. Srivastava (Ed.), Language and text: Studies in honour of Ashok R. Kelkar (pp. 227-242). Dehli: Kalinga Publications.
  • Levshina, N. (2021). Conditional inference trees and random forests. In M. Paquot, & T. Gries (Eds.), Practical Handbook of Corpus Linguistics (pp. 611-643). New York: Springer.
  • Levshina, N., & Moran, S. (Eds.). (2021). Efficiency in human languages: Corpus evidence for universal principles [Special Issue]. Linguistics Vanguard, 7(s3).
  • Majid, A. (2019). Preface. In L. J. Speed, C. O'Meara, L. San Roque, & A. Majid (Eds.), Perception Metaphors (pp. vii-viii). Amsterdam: Benjamins.
  • Mak, M., & Willems, R. M. (2021). Mental simulation during literary reading. In D. Kuiken, & A. M. Jacobs (Eds.), Handbook of empirical literary studies (pp. 63-84). Berlin: De Gruyter.

    Abstract

    Readers experience a number of sensations during reading. They do
    not – or do not only – process words and sentences in a detached, abstract
    manner. Instead they “perceive” what they read about. They see descriptions of
    scenery, feel what characters feel, and hear the sounds in a story. These sensa-
    tions tend to be grouped under the umbrella terms “mental simulation” and
    “mental imagery.” This chapter provides an overview of empirical research on
    the role of mental simulation during literary reading. Our chapter also discusses
    what mental simulation is and how it relates to mental imagery. Moreover, it
    explores how mental simulation plays a role in leading models of literary read-
    ing and investigates under what circumstances mental simulation occurs dur-
    ing literature reading. Finally, the effect of mental simulation on the literary
    reader’s experience is discussed, and suggestions and unresolved issues in this
    field are formulated.
  • McQueen, J. M., & Meyer, A. S. (2019). Key issues and future directions: Towards a comprehensive cognitive architecture for language use. In P. Hagoort (Ed.), Human language: From genes and brain to behavior (pp. 85-96). Cambridge, MA: MIT 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. (2000). Differences in spatial conceptualization in Turkish and English discourse: Evidence from both speech and gesture. In A. Goksel, & C. Kerslake (Eds.), Studies on Turkish and Turkic languages (pp. 263-272). Wiesbaden: Harrassowitz.
  • 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.
  • Ozyurek, A. (2000). The influence of addressee location on spatial language and representational gestures of direction. In D. McNeill (Ed.), Language and gesture (pp. 64-83). Cambridge: Cambridge University Press.
  • Patterson, R. D., & Cutler, A. (1989). Auditory preprocessing and recognition of speech. In A. Baddeley, & N. Bernsen (Eds.), Research directions in cognitive science: A european perspective: Vol. 1. Cognitive psychology (pp. 23-60). London: Erlbaum.
  • Perdue, C., & Klein, W. (1992). Conclusions. In W. Klein, & C. Perdue (Eds.), Utterance structure: Developing grammars again (pp. 301-337). Amsterdam: Benjamins.
  • Perdue, C., & Klein, W. (1992). Introduction. In W. Klein, & C. Perdue (Eds.), Utterance structure: Developing grammars again (pp. 1-10). Amsterdam: Benjamins.
  • 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.
  • 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.
  • Sandberg, A., Lansner, A., Petersson, K. M., & Ekeberg, Ö. (2000). A palimpsest memory based on an incremental Bayesian learning rule. In J. M. Bower (Ed.), Computational Neuroscience: Trends in Research 2000 (pp. 987-994). Amsterdam: Elsevier.
  • 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., & Labov, W. (1980). Einige Prinzipien linguistischer Methodologie [transl. from English by Gunter Senft]. In N. Dittmar, & B. O. Rieck (Eds.), William Labov: Sprache im sozialen Kontext (pp. 1-24). Königstein: Athenäum FAT.
  • Senft, G. (1992). As time goes by..: Changes observed in Trobriand Islanders' culture and language, Milne Bay Province, Papua New Guinea. In T. Dutton (Ed.), Culture change, language change: Case studies from Melanesia (pp. 67-89). Canberra: Pacific Linguistics.
  • Senft, G., & Heeschen, V. (1989). Humanethologisches Tonarchiv. In Generalverwaltung der MPG (Ed.), Max-Planck-Gesellschaft Jahrbuch 1989 (pp. 246). Göttingen: Vandenhoeck and Ruprecht.
  • Senft, G., & Labov, W. (1980). Hyperkorrektheit der unteren Mittelschicht als Faktor im Sprachwandel; [transl. from English by Gunter Senft]. In N. Dittmar, & B. O. Rieck (Eds.), William Labov: Sprache im sozialen Kontext (pp. 77-94). Königstein: Athneäum FAT.
  • Senft, G. (1991). Mahnreden auf den Trobriand Inseln: Eine Fallstudie. In D. Flader (Ed.), Verbale Interaktion: Studien zur Empirie und Methologie der Pragmatik (pp. 27-49). Stuttgart: Metzler.
  • Senft, G. (2000). Introduction. In G. Senft (Ed.), Systems of nominal classification (pp. 1-10). Cambridge University Press.
  • Senft, G. (1991). Prolegomena to the pragmatics of "situational-intentional" varieties in Kilivila language. In J. Verschueren (Ed.), Levels of linguistic adaptation: Selected papers from the International Pragmatics Conference, Antwerp, August 1987 (pp. 235-248). Amsterdam: John Benjamins.
  • 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. (2000). What do we really know about nominal classification systems? In Conference handbook. The 18th national conference of the English Linguistic Society of Japan. 18-19 November, 2000, Konan University (pp. 225-230). Kobe: English Linguistic Society of Japan.
  • Senft, G. (2000). What do we really know about nominal classification systems? In G. Senft (Ed.), Systems of nominal classification (pp. 11-49). Cambridge University Press.
  • Seuren, P. A. M. (2000). A discourse-semantic account of topic and comment. In N. Nicolov, & R. Mitkov (Eds.), Recent advances in natural language processing II. Selected papers from RANLP '97 (pp. 179-190). Amsterdam: Benjamins.
  • Seuren, P. A. M. (1989). A problem in English subject complementation. In D. Jaspers, W. Klooster, Y. Putseys, & P. A. M. Seuren (Eds.), Sentential complementation and the lexicon: Studies in honour of Wim de Geest (pp. 355-375). Dordrecht: Foris.
  • Seuren, P. A. M. (1980). Dreiwertige Logik und die Semantik natürlicher Sprache. In J. Ballweg, & H. Glinz (Eds.), Grammatik und Logik: Jahrbuch 1979 des Instituts für deutsche Sprache (pp. 72-103). Düsseldorf: Pädagogischer Verlag Schwann.
  • Seuren, P. A. M. (1991). Formalism and ecologism in linguistics. In E. Feldbusch, R. Pogarell, & C. Weiss (Eds.), Neue Fragen der Linguistik: Akten des 25. Linguistischen Kolloquiums, Paderborn 1990. Band 1: Bestand und Entwicklung (pp. 73-88). Tübingen: Max Niemeyer.
  • Seuren, P. A. M. (1991). Modale klokkenhuizen. In M. Klein (Ed.), Nieuwe eskapades in de neerlandistiek: Opstellen van vrienden voor M.C. van den Toorn bij zijn afscheid als hoogleraar Nederlandse taalkunde aan de Katholieke Universiteit te Nijmegen (pp. 202-236). Groningen: Wolters-Noordhoff.
  • 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. (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. (1991). The definition of serial verbs. In F. Byrne, & T. Huebner (Eds.), Development and structures of Creole languages: Essays in honor of Derek Bickerton (pp. 193-205). Amsterdam: Benjamins.
  • Seuren, P. A. M. (1991). Präsuppositionen. In A. Von Stechow, & D. Wunderlich (Eds.), Semantik: Ein internationales Handbuch der zeitgenössischen Forschung (pp. 286-318). Berlin: De Gruyter.
  • 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. (1991). Eine Datenbank für Deutsch als Zweitsprache Materialien: Zum Einsatz von PC-Software bei Planung von Zweitsprachenunterricht. In H. Barkowski, & G. Hoff (Eds.), Berlin interkulturell: Ergebnisse einer Berliner Konferenz zu Migration und Pädagogik. (pp. 131-140). Berlin: Colloquium.
  • 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. (1991). Segment Grammar: A formalism for incremental sentence generation. In C. Paris, W. Swartout, & W. Mann (Eds.), Natural language generation and computational linguistics (pp. 329-349). Dordrecht: Kluwer Academic Publishers.

    Abstract

    Incremental sentence generation imposes special constraints on the representation of the grammar and the design of the formulator (the module which is responsible for constructing the syntactic and morphological structure). In the model of natural speech production presented here, a formalism called Segment Grammar is used for the representation of linguistic knowledge. We give a definition of this formalism and present a formulator design which relies on it. Next, we present an object- oriented implementation of Segment Grammar. Finally, we compare Segment Grammar with other formalisms.
  • 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.
  • 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.
  • 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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