Stephen C. Levinson

Publications

Displaying 1 - 23 of 23
  • Barthel, M., & Levinson, S. C. (2020). Next speakers plan word forms in overlap with the incoming turn: Evidence from gaze-contingent switch task performance. Language, Cognition and Neuroscience, 35(9), 1183-1202. doi:10.1080/23273798.2020.1716030.

    Abstract

    To ensure short gaps between turns in conversation, next speakers regularly start planning their utterance in overlap with the incoming turn. Three experiments investigate which stages of utterance planning are executed in overlap. E1 establishes effects of associative and phonological relatedness of pictures and words in a switch-task from picture naming to lexical decision. E2 focuses on effects of phonological relatedness and investigates potential shifts in the time-course of production planning during background speech. E3 required participants to verbally answer questions as a base task. In critical trials, however, participants switched to visual lexical decision just after they began planning their answer. The task-switch was time-locked to participants' gaze for response planning. Results show that word form encoding is done as early as possible and not postponed until the end of the incoming turn. Hence, planning a response during the incoming turn is executed at least until word form activation.

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  • Bögels, S., Kendrick, K. H., & Levinson, S. C. (2020). Conversational expectations get revised as response latencies unfold. Language, Cognition and Neuroscience, 35(6), 766-779. doi:10.1080/23273798.2019.1590609.

    Abstract

    The present study extends neuro-imaging into conversation through studying dialogue comprehension. Conversation entails rapid responses, with negative semiotics for delay. We explored how expectations about the valence of the forthcoming response develop during the silence before the response and whether negative responses have mainly cognitive or social-emotional consequences. EEG-participants listened to questions from a spontaneous spoken corpus, cross-spliced with short/long gaps and “yes”/“no” responses. Preceding contexts biased listeners to expect the eventual response, which was hypothesised to translate to expectations for a shorter or longer gap. “No” responses showed a trend towards an early positivity, suggesting socio-emotional consequences. Within the long gap, expecting a “yes” response led to an earlier negativity, as well as a trend towards stronger theta-oscillations, after 300 milliseconds. This suggests that listeners anticipate/predict “yes” responses to come earlier than “no” responses, showing strong sensitivities to timing, which presumably promote hastening the pace of verbal interaction.

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  • Casillas, M., Brown, P., & Levinson, S. C. (2020). Early language experience in a Tseltal Mayan village. Child Development, 91(5), 1819-1835. doi:10.1111/cdev.13349.

    Abstract

    Daylong at-home audio recordings from 10 Tseltal Mayan children (0;2–3;0; Southern Mexico) were analyzed for how often children engaged in verbal interaction with others and whether their speech environment changed with age, time of day, household size, and number of speakers present. Children were infrequently directly spoken to, with most directed speech coming from adults, and no increase with age. Most directed speech came in the mornings, and interactional peaks contained nearly four times the baseline rate of directed speech. Coarse indicators of children's language development (babbling, first words, first word combinations) suggest that Tseltal children manage to extract the linguistic information they need despite minimal directed speech. Multiple proposals for how they might do so are discussed.

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  • Kendrick, K. H., Brown, P., Dingemanse, M., Floyd, S., Gipper, S., Hayano, K., Hoey, E., Hoymann, G., Manrique, E., Rossi, G., & Levinson, S. C. (2020). Sequence organization: A universal infrastructure for social action. Journal of Pragmatics, 168, 119-138. doi:10.1016/j.pragma.2020.06.009.

    Abstract

    This article makes the case for the universality of the sequence organization observable in informal human conversational interaction. Using the descriptive schema developed by Schegloff (2007), we examine the major patterns of action-sequencing in a dozen nearly all unrelated languages. What we find is that these patterns are instantiated in very similar ways for the most part right down to the types of different action sequences. There are also some notably different cultural exploitations of the patterns, but the patterns themselves look strongly universal. Recent work in gestural communication in the great apes suggests that sequence organization may have been a crucial route into the development of language. Taken together with the fundamental role of this organization in language acquisition, sequential behavior of this kind seems to have both phylogenetic and ontogenetic priority, which probably puts substantial functional pressure on language form.

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  • Levinson, S. C. (2020). On technologies of the intellect: Goody Lecture 2020. Halle: Max Planck Institute for Social Anthropology.
  • Barthel, M., Meyer, A. S., & Levinson, S. C. (2017). Next speakers plan their turn early and speak after turn-final ‘go-signals’. Frontiers in Psychology, 8: 393. doi:10.3389/fpsyg.2017.00393.

    Abstract

    In conversation, turn-taking is usually fluid, with next speakers taking their turn right after the end of the previous turn. Most, but not all, previous studies show that next speakers start to plan their turn early, if possible already during the incoming turn. The present study makes use of the list-completion paradigm (Barthel et al., 2016), analyzing speech onset latencies and eye-movements of participants in a task-oriented dialogue with a confederate. The measures are used to disentangle the contributions to the timing of turn-taking of early planning of content on the one hand and initiation of articulation as a reaction to the upcoming turn-end on the other hand. Participants named objects visible on their computer screen in response to utterances that did, or did not, contain lexical and prosodic cues to the end of the incoming turn. In the presence of an early lexical cue, participants showed earlier gaze shifts toward the target objects and responded faster than in its absence, whereas the presence of a late intonational cue only led to faster response times and did not affect the timing of participants' eye movements. The results show that with a combination of eye-movement and turn-transition time measures it is possible to tease apart the effects of early planning and response initiation on turn timing. They are consistent with models of turn-taking that assume that next speakers (a) start planning their response as soon as the incoming turn's message can be understood and (b) monitor the incoming turn for cues to turn-completion so as to initiate their response when turn-transition becomes relevant
  • Bögels, S., & Levinson, S. C. (2017). The brain behind the response: Insights into turn-taking in conversation from neuroimaging. Research on Language and Social Interaction, 50, 71-89. doi:10.1080/08351813.2017.1262118.

    Abstract

    This paper reviews the prospects for the cross-fertilization of conversation-analytic (CA) and neurocognitive studies of conversation, focusing on turn-taking. Although conversation is the primary ecological niche for language use, relatively little brain research has focused on interactive language use, partly due to the challenges of using brain-imaging methods that are controlled enough to perform sound experiments, but still reflect the rich and spontaneous nature of conversation. Recently, though, brain researchers have started to investigate conversational phenomena, for example by using 'overhearer' or controlled interaction paradigms. We review neuroimaging studies related to turn-taking and sequence organization, phenomena historically described by CA. These studies for example show early action recognition and immediate planning of responses midway during an incoming turn. The review discusses studies with an eye to a fruitful interchange between CA and neuroimaging research on conversation and an indication of how these disciplines can benefit from each other.
  • Greenhill, S. J., Wu, C.-H., Hua, X., Dunn, M., Levinson, S. C., & Gray, R. D. (2017). Evolutionary dynamics of language systems. Proceedings of the National Academy of Sciences of the United States of America, 114(42), E8822-E8829. doi:10.1073/pnas.1700388114.

    Abstract

    Understanding how and why language subsystems differ in their evolutionary dynamics is a fundamental question for historical and comparative linguistics. One key dynamic is the rate of language change. While it is commonly thought that the rapid rate of change hampers the reconstruction of deep language relationships beyond 6,000–10,000 y, there are suggestions that grammatical structures might retain more signal over time than other subsystems, such as basic vocabulary. In this study, we use a Dirichlet process mixture model to infer the rates of change in lexical and grammatical data from 81 Austronesian languages. We show that, on average, most grammatical features actually change faster than items of basic vocabulary. The grammatical data show less schismogenesis, higher rates of homoplasy, and more bursts of contact-induced change than the basic vocabulary data. However, there is a core of grammatical and lexical features that are highly stable. These findings suggest that different subsystems of language have differing dynamics and that careful, nuanced models of language change will be needed to extract deeper signal from the noise of parallel evolution, areal readaptation, and contact.
  • Hömke, P., Holler, J., & Levinson, S. C. (2017). Eye blinking as addressee feedback in face-to-face conversation. Research on Language and Social Interaction, 50, 54-70. doi:10.1080/08351813.2017.1262143.

    Abstract

    Does blinking function as a type of feedback in conversation? To address this question, we built a corpus of Dutch conversations, identified short and long addressee blinks during extended turns, and measured their occurrence relative to the end of turn constructional units (TCUs), the location
    where feedback typically occurs. Addressee blinks were indeed timed to the
    end of TCUs. Also, long blinks were more likely than short blinks to occur
    during mutual gaze, with nods or continuers, and their occurrence was
    restricted to sequential contexts in which signaling understanding was
    particularly relevant, suggesting a special signaling capacity of long blinks.
  • Levinson, S. C. (2017). Living with Manny's dangerous idea. In G. Raymond, G. H. Lerner, & J. Heritage (Eds.), Enabling human conduct: Studies of talk-in-interaction in honor of Emanuel A. Schegloff (pp. 327-349). Amsterdam: Benjamins.
  • Levinson, S. C. (2017). Speech acts. In Y. Huang (Ed.), Oxford handbook of pragmatics (pp. 199-216). Oxford: Oxford University Press. doi:10.1093/oxfordhb/9780199697960.013.22.

    Abstract

    The essential insight of speech act theory was that when we use language, we perform actions—in a more modern parlance, core language use in interaction is a form of joint action. Over the last thirty years, speech acts have been relatively neglected in linguistic pragmatics, although important work has been done especially in conversation analysis. Here we review the core issues—the identifying characteristics, the degree of universality, the problem of multiple functions, and the puzzle of speech act recognition. Special attention is drawn to the role of conversation structure, probabilistic linguistic cues, and plan or sequence inference in speech act recognition, and to the centrality of deep recursive structures in sequences of speech acts in conversation

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  • Magyari, L., De Ruiter, J. P., & Levinson, S. C. (2017). Temporal preparation for speaking in question-answer sequences. Frontiers in Psychology, 8: 211. doi:10.3389/fpsyg.2017.00211.

    Abstract

    In every-day conversations, the gap between turns of conversational partners is most frequently between 0 and 200 ms. We were interested how speakers achieve such fast transitions. We designed an experiment in which participants listened to pre-recorded questions about images presented on a screen and were asked to answer these questions. We tested whether speakers already prepare their answers while they listen to questions and whether they can prepare for the time of articulation by anticipating when questions end. In the experiment, it was possible to guess the answer at the beginning of the questions in half of the experimental trials. We also manipulated whether it was possible to predict the length of the last word of the questions. The results suggest when listeners know the answer early they start speech production already during the questions. Speakers can also time when to speak by predicting the duration of turns. These temporal predictions can be based on the length of anticipated words and on the overall probability of turn durations.

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  • Roberts, S. G., & Levinson, S. C. (2017). Conversation, cognition and cultural evolution: A model of the cultural evolution of word order through pressures imposed from turn taking in conversation. Interaction studies, 18(3), 402-429. doi:10.1075/is.18.3.06rob.

    Abstract

    This paper outlines a first attempt to model the special constraints that arise in language processing in conversation, and to explore the implications such functional considerations may have on language typology and language change. In particular, we focus on processing pressures imposed by conversational turn-taking and their consequences for the cultural evolution of the structural properties of language. We present an agent-based model of cultural evolution where agents take turns at talk in conversation. When the start of planning for the next turn is constrained by the position of the verb, the stable distribution of dominant word orders across languages evolves to match the actual distribution reasonably well. We suggest that the interface of cognition and interaction should be a more central part of the story of language evolution.
  • Dediu, D., & Levinson, S. C. (2014). Language and speech are old: A review of the evidence and consequences for modern linguistic diversity. In E. A. Cartmill, S. G. Roberts, H. Lyn, & H. Cornish (Eds.), The Evolution of Language: Proceedings of the 10th International Conference (pp. 421-422). Singapore: World Scientific.
  • Dediu, D., & Levinson, S. C. (2014). The time frame of the emergence of modern language and its implications. In D. Dor, C. Knight, & J. Lewis (Eds.), The social origins of language (pp. 184-195). Oxford: Oxford University Press.
  • Hagoort, P., & Levinson, S. C. (2014). Neuropragmatics. In M. S. Gazzaniga, & G. R. Mangun (Eds.), The cognitive neurosciences (5th ed., pp. 667-674). Cambridge, Mass: MIT Press.
  • Levinson, S. C., & Majid, A. (2014). Differential ineffability and the senses. Mind & Language, 29, 407-427. doi:10.1111/mila.12057.

    Abstract

    neffability, the degree to which percepts or concepts resist linguistic coding, is a fairly unexplored nook of cognitive science. Although philosophical preoccupations with qualia or nonconceptual content certainly touch upon the area, there has been little systematic thought and hardly any empirical work in recent years on the subject. We argue that ineffability is an important domain for the cognitive sciences. For examining differential ineffability across the senses may be able to tell us important things about how the mind works, how different modalities talk to one another, and how language does, or does not, interact with other mental faculties.
  • Levinson, S. C. (2014). Language and Wallace's problem [Review of the books More than nature needs: Language, mind and evolution by D. Bickerton and A natural history of human thinking by M. Tomasello]. Science, 344, 1458-1459. doi:10.1126/science.1252988.
  • Levinson, S. C. (2014). Language evolution. In N. J. Enfield, P. Kockelman, & J. Sidnell (Eds.), The Cambridge handbook of linguistic anthropology (pp. 309-324). Cambridge: Cambridge University Press.
  • Levinson, S. C. (2014). Pragmatics as the origin of recursion. In F. Lowenthal, & L. Lefebvre (Eds.), Language and recursion (pp. 3-13). Berlin: Springer. doi:10.1007/978-1-4614-9414-0_1.

    Abstract

    There has been a recent spate of work on recursion as a central design feature of language and specifically of syntax. This short report points out that there is little evidence that unlimited recursion, understood as centre embedding, is typical of natural language syntax. Nevertheless, embedded pragmatic construals seem available in every language. Further, much deeper centre embedding can be found in dialogue or conversation structure than can be found in syntax. Existing accounts for the ‘performance’ limitations on centre embedding are thus thrown in doubt. Dialogue materials suggest that centre embedding is perhaps a core part of the human interaction system and is for some reason much more highly restricted in syntax than in other aspects of cognition
  • Levinson, S. C., & Holler, J. (2014). The origin of human multi-modal communication. Philosophical Transactions of the Royal Society of London, Series B: Biological Sciences, 369(1651): 2013030. doi:10.1098/rstb.2013.0302.

    Abstract

    One reason for the apparent gulf between animal and human communication systems is that the focus has been on the presence or the absence of language as a complex expressive system built on speech. But language normally occurs embedded within an interactional exchange of multi-modal signals. If this larger perspective takes central focus, then it becomes apparent that human communication has a layered structure, where the layers may be plausibly assigned different phylogenetic and evolutionary origins—especially in the light of recent thoughts on the emergence of voluntary breathing and spoken language. This perspective helps us to appreciate the different roles that the different modalities play in human communication, as well as how they function as one integrated system despite their different roles and origins. It also offers possibilities for reconciling the ‘gesture-first hypothesis’ with that of gesture and speech having evolved together, hand in hand—or hand in mouth, rather—as one system.
  • Magyari, L., Bastiaansen, M. C. M., De Ruiter, J. P., & Levinson, S. C. (2014). Early anticipation lies behind the speed of response in conversation. Journal of Cognitive Neuroscience, 26(11), 2530-2539. doi:10.1162/jocn_a_00673.

    Abstract

    RTs in conversation, with average gaps of 200 msec and often less, beat standard RTs, despite the complexity of response and the lag in speech production (600 msec or more). This can only be achieved by anticipation of timing and content of turns in conversation, about which little is known. Using EEG and an experimental task with conversational stimuli, we show that estimation of turn durations are based on anticipating the way the turn would be completed. We found a neuronal correlate of turn-end anticipation localized in ACC and inferior parietal lobule, namely a beta-frequency desynchronization as early as 1250 msec, before the end of the turn. We suggest that anticipation of the other's utterance leads to accurately timed transitions in everyday conversations.
  • Roberts, S. G., Dediu, D., & Levinson, S. C. (2014). Detecting differences between the languages of Neandertals and modern humans. In E. A. Cartmill, S. G. Roberts, H. Lyn, & H. Cornish (Eds.), The Evolution of Language: Proceedings of the 10th International Conference (pp. 501-502). Singapore: World Scientific.

    Abstract

    Dediu and Levinson (2013) argue that Neandertals had essentially modern language and speech, and that they were in genetic contact with the ancestors of modern humans during our dispersal out of Africa. This raises the possibility of cultural and linguistic contact between the two human lineages. If such contact did occur, then it might have influenced the cultural evolution of the languages. Since the genetic traces of contact with Neandertals are limited to the populations outside of Africa, Dediu & Levinson predict that there may be structural differences between the present-day languages derived from languages in contact with Neanderthals, and those derived from languages that were not influenced by such contact. Since the signature of such deep contact might reside in patterns of features, they suggested that machine learning methods may be able to detect these differences. This paper attempts to test this hypothesis and to estimate particular linguistic features that are potential candidates for carrying a signature of Neandertal languages.

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