Displaying 1 - 19 of 19
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Levinson, S. C. (2024). The dark matter of pragmatics: Known unknowns. Cambridge: Cambridge University Press. doi:10.1017/9781009489584.
Abstract
This Element tries to discern the known unknowns in the field
of pragmatics, the ‘Dark Matter’ of the title. We can identify a key
bottleneck in human communication, the sheer limitation on the speed
of speech encoding: pragmatics occupies the niche nestled between
slow speech encoding and fast comprehension. Pragmatic strategies
are tricks for evading this tight encoding bottleneck by meaning more
than you say. Five such tricks are reviewed, which are all domains where
we have made considerable progress. We can then ask for each of these
areas, where have we neglected to push the frontier forward? These are
the known unknowns of pragmatics, key areas, and topics for future
research. The Element thus offers a brief review of some central areas of
pragmatics, and a survey of targets for future research. -
Levinson, S. C. (2024). Culture as cognitive technology: An evolutionary perspective. In G. Bennardo, V. C. De Munck, & S. Chrisomalis (
Eds. ), Cognition in and out of the mind: Advances in cultural model theory (pp. 241-265). London: Palgrave Macmillan.Abstract
Cognitive anthropology is in need of a theory that extends beyond cultural model theory and explains both how culture has transformed human cognition and the curious ontology of culture itself, for, as Durkheim insisted, culture cannot be reduced to psychology. This chapter promotes a framework that deals with both the evolutionary question and the ontological problem. It is argued that at least a central part of culture should be conceived of in terms of cognitive technology. Beginning with obvious examples of cognitive artifacts, like those used in measurement, way-finding, time-reckoning and numerical calculation, the chapter goes on to consider extensions to our communication systems, emotion-modulating systems and the cognitive division of labor. Cognitive artifacts form ‘coupled systems’ that amplify individual psychology, lying partly outside the head, and are honed by cultural evolution. They make clear how culture gave human cognition an evolutionary edge. -
Ter Bekke, M., Levinson, S. C., Van Otterdijk, L., Kühn, M., & Holler, J. (2024). Visual bodily signals and conversational context benefit the anticipation of turn ends. Cognition, 248: 105806. doi:10.1016/j.cognition.2024.105806.
Abstract
The typical pattern of alternating turns in conversation seems trivial at first sight. But a closer look quickly reveals the cognitive challenges involved, with much of it resulting from the fast-paced nature of conversation. One core ingredient to turn coordination is the anticipation of upcoming turn ends so as to be able to ready oneself for providing the next contribution. Across two experiments, we investigated two variables inherent to face-to-face conversation, the presence of visual bodily signals and preceding discourse context, in terms of their contribution to turn end anticipation. In a reaction time paradigm, participants anticipated conversational turn ends better when seeing the speaker and their visual bodily signals than when they did not, especially so for longer turns. Likewise, participants were better able to anticipate turn ends when they had access to the preceding discourse context than when they did not, and especially so for longer turns. Critically, the two variables did not interact, showing that visual bodily signals retain their influence even in the context of preceding discourse. In a pre-registered follow-up experiment, we manipulated the visibility of the speaker's head, eyes and upper body (i.e. torso + arms). Participants were better able to anticipate turn ends when the speaker's upper body was visible, suggesting a role for manual gestures in turn end anticipation. Together, these findings show that seeing the speaker during conversation may critically facilitate turn coordination in interaction. -
Barthel, M., Sauppe, S., Levinson, S. C., & Meyer, A. S. (2016). The timing of utterance planning in task-oriented dialogue: Evidence from a novel list-completion paradigm. Frontiers in Psychology, 7: 1858. doi:10.3389/fpsyg.2016.01858.
Abstract
In conversation, interlocutors rarely leave long gaps between turns, suggesting that next speak- ers begin to plan their turns while listening to the previous speaker. The present experiment used analyses of speech onset latencies and eye-movements in a task-oriented dialogue paradigm to investigate when speakers start planning their response. Adult German participants heard a confederate describe sets of objects in utterances that either ended in a noun (e.g. Ich habe eine Tür und ein Fahrrad (‘I have a door and a bicycle’)) or a verb form (Ich habe eine Tür und ein Fahrrad besorgt (‘I have gotten a door and a bicycle’)), while the presence or absence of the final verb either was or was not predictable from the preceding sentence structure. In response, participants had to name any unnamed objects they could see in their own display in utterances such as Ich habe ein Ei (‘I have an egg’). The main question was when participants started to plan their response. The results are consistent with the view that speakers begin to plan their turn as soon as sufficient information is available to do so, irrespective of further incoming words. -
Holler, J., Kendrick, K. H., Casillas, M., & Levinson, S. C. (
Eds. ). (2016). Turn-Taking in Human Communicative Interaction. Lausanne: Frontiers Media. doi:10.3389/978-2-88919-825-2.Abstract
The core use of language is in face-to-face conversation. This is characterized by rapid turn-taking. This turn-taking poses a number central puzzles for the psychology of language.
Consider, for example, that in large corpora the gap between turns is on the order of 100 to 300 ms, but the latencies involved in language production require minimally between 600ms (for a single word) or 1500 ms (for as simple sentence). This implies that participants in conversation are predicting the ends of the incoming turn and preparing in advance. But how is this done? What aspects of this prediction are done when? What happens when the prediction is wrong? What stops participants coming in too early? If the system is running on prediction, why is there consistently a mode of 100 to 300 ms in response time?
The timing puzzle raises further puzzles: it seems that comprehension must run parallel with the preparation for production, but it has been presumed that there are strict cognitive limitations on more than one central process running at a time. How is this bottleneck overcome? Far from being 'easy' as some psychologists have suggested, conversation may be one of the most demanding cognitive tasks in our everyday lives. Further questions naturally arise: how do children learn to master this demanding task, and what is the developmental trajectory in this domain?
Research shows that aspects of turn-taking such as its timing are remarkably stable across languages and cultures, but the word order of languages varies enormously. How then does prediction of the incoming turn work when the verb (often the informational nugget in a clause) is at the end? Conversely, how can production work fast enough in languages that have the verb at the beginning, thereby requiring early planning of the whole clause? What happens when one changes modality, as in sign languages -- with the loss of channel constraints is turn-taking much freer? And what about face-to-face communication amongst hearing individuals -- do gestures, gaze, and other body behaviors facilitate turn-taking? One can also ask the phylogenetic question: how did such a system evolve? There seem to be parallels (analogies) in duetting bird species, and in a variety of monkey species, but there is little evidence of anything like this among the great apes.
All this constitutes a neglected set of problems at the heart of the psychology of language and of the language sciences. This research topic welcomes contributions from right across the board, for example from psycholinguists, developmental psychologists, students of dialogue and conversation analysis, linguists interested in the use of language, phoneticians, corpus analysts and comparative ethologists or psychologists. We welcome contributions of all sorts, for example original research papers, opinion pieces, and reviews of work in subfields that may not be fully understood in other subfields. -
Levinson, S. C. (2016). “Process and perish” or multiple buffers with push-down stacks? [Commentary on Christiansen & Slater]. Behavioral and Brain Sciences, 39: e81. doi:10.1017/S0140525X15000862.
Abstract
This commentary raises two issues: (1) Language processing is hastened not only by internal pressures but also externally by turntaking in language use; (2) the theory requires nested levels of processing, but linguistic levels do not fully nest; further, it would seem to require multiple memory buffers, otherwise there’s no obvious treatment for discontinuous structures, or for verbatim recall. -
Levinson, S. C. (2016). Language and mind: Let's get the issues straight! In S. D. Blum (
Ed. ), Making sense of language: Readings in culture and communication [3rd ed.] (pp. 68-80). Oxford: Oxford University Press. -
Levinson, S. C. (2016). The countable singulare tantum. In A. Reuneker, R. Boogaart, & S. Lensink (
Eds. ), Aries netwerk: Een constructicon (pp. 145-146). Leiden: Leiden University. -
Levinson, S. C. (2016). Turn-taking in human communication, origins, and implications for language processing. Trends in Cognitive Sciences, 20(1), 6-14. doi:10.1016/j.tics.2015.10.010.
Abstract
Most language usage is interactive, involving rapid turn-taking. The turn-taking system has a number of striking properties: turns are short and responses are remarkably rapid, but turns are of varying length and often of very complex construction such that the underlying cognitive processing is highly compressed. Although neglected in cognitive science, the system has deep implications for language processing and acquisition that are only now becoming clear. Appearing earlier in ontogeny than linguistic competence, it is also found across all the major primate clades. This suggests a possible phylogenetic continuity, which may provide key insights into 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.
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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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