Publications

Displaying 101 - 163 of 163
  • Levelt, W. J. M. (1986). Zur sprachlichen Abbildung des Raumes: Deiktische und intrinsische Perspektive. In H. Bosshardt (Ed.), Perspektiven auf Sprache. Interdisziplinäre Beiträge zum Gedenken an Hans Hörmann (pp. 187-211). Berlin: De Gruyter.
  • Levinson, S. C. (1982). Caste rank and verbal interaction in Western Tamilnadu. In D. B. McGilvray (Ed.), Caste ideology and interaction (pp. 98-203). Cambridge University Press.
  • 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. (1982). Speech act theory: The state of the art. In V. Kinsella (Ed.), Surveys 2. Eight state-of-the-art articles on key areas in language teaching. Cambridge University Press.
  • 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. (2015). Comparing lexicons cross-linguistically. In J. R. Taylor (Ed.), The Oxford Handbook of the Word (pp. 364-379). Oxford: Oxford University Press. doi:10.1093/oxfordhb/9780199641604.013.020.

    Abstract

    The lexicon is central to the concerns of disparate disciplines and has correspondingly elicited conflicting proposals about some of its foundational properties. Some suppose that word meanings and their associated concepts are largely universal, while others note that local cultural interests infiltrate every category in the lexicon. This chapter reviews research in two semantic domains—perception and the body—in order to illustrate crosslinguistic similarities and differences in semantic fields. Data is considered from a wide array of languages, especially those from small-scale indigenous communities which are often overlooked. In every lexical field we find considerable variation across cultures, raising the question of where this variation comes from. Is it the result of different ecological or environmental niches, cultural practices, or accidents of historical pasts? Current evidence suggests that diverse pressures differentially shape lexical fields.
  • Majid, A., Jordan, F., & Dunn, M. (Eds.). (2015). Semantic systems in closely related languages [Special Issue]. Language Sciences, 49.
  • 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.
  • Malt, B. C., Gennari, S., Imai, M., Ameel, E., Saji, N., & Majid, A. (2015). Where are the concepts? What words can and can’t reveal. In E. Margolis, & S. Laurence (Eds.), The conceptual Mind: New directions in the study of concepts (pp. 291-326). Cambridge, MA: MIT Press.

    Abstract

    Concepts are so fundamental to human cognition that Fodor declared the heart of a cognitive science to be its theory of concepts. To study concepts, though, cognitive scientists need to be able to identify some. The prevailing assumption has been that they are revealed by words such as triangle, table, and robin. But languages vary dramatically in how they carve up the world with names. Either ordinary concepts must be heavily language dependent, or names cannot be a direct route to concepts. We asked speakers of English, Dutch, Spanish, and Japanese to name a set of 36 video clips of human locomotion and to judge the similarities among them. We investigated what name inventories, name extensions, scaling solutions on name similarity, and scaling solutions on nonlinguistic similarity from the groups, individually and together, suggest about the underlying concepts. Aggregated naming data and similarity solutions converged on results distinct from individual languages.
  • Martin, R. C., & Tan, Y. (2015). Sentence comprehension deficits: Independence and interaction of syntax, semantics, and working memory. In A. E. Hillis (Ed.), Handbook of adult language disorders (2nd ed., pp. 303-327). Boca Raton: CRC Press.
  • Matić, D. (2015). Information structure in linguistics. In J. D. Wright (Ed.), The International Encyclopedia of Social and Behavioral Sciences (2nd ed.) Vol. 12 (pp. 95-99). Amsterdam: Elsevier. doi:10.1016/B978-0-08-097086-8.53013-X.

    Abstract

    Information structure is a subfield of linguistic research dealing with the ways speakers encode instructions to the hearer on how to process the message relative to their temporary mental states. To this end, sentences are segmented into parts conveying known and yet-unknown information, usually labeled ‘topic’ and ‘focus.’ Many languages have developed specialized grammatical and lexical means of indicating this segmentation.
  • 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.
  • Muysken, P., Hammarström, H., Birchall, J., van Gijn, R., Krasnoukhova, O., & Müller, N. (2015). Linguistic Areas, bottom up or top down? The case of the Guaporé-Mamoré region. In B. Comrie, & L. Golluscio (Eds.), Language Contact and Documentation / Contacto lingüístico y documentación (pp. 205-238). Berlin: De Gruyter.
  • Naffah, N., Kempen, G., Rohmer, J., Steels, L., Tsichritzis, D., & White, G. (1985). Intelligent Workstation in the office: State of the art and future perspectives. In J. Roukens, & J. Renuart (Eds.), Esprit '84: Status report of ongoing work (pp. 365-378). Amsterdam: Elsevier Science Publishers.
  • Noordman, L. G. M., Vonk, W., Cozijn, R., & Frank, S. (2015). Causal inferences and world knowledge. In E. J. O'Brien, A. E. Cook, & R. F. Lorch (Eds.), Inferences during reading (pp. 260-289). Cambridge, UK: Cambridge University Press.
  • Noordman, L. G. M., & Vonk, W. (2015). Inferences in Discourse, Psychology of. In J. D. Wright (Ed.), International Encyclopedia of the Social & Behavioral Sciences (2nd ed.) Vol. 12 (pp. 37-44). Amsterdam: Elsevier. doi:10.1016/B978-0-08-097086-8.57012-3.

    Abstract

    An inference is defined as the information that is not expressed explicitly by the text but is derived on the basis of the understander's knowledge and is encoded in the mental representation of the text. Inferencing is considered as a central component in discourse understanding. Experimental methods to detect inferences, established findings, and some developments are reviewed. Attention is paid to the relation between inference processes and the brain.
  • 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.
  • 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.
  • Perniss, P. M., Ozyurek, A., & Morgan, G. (Eds.). (2015). The influence of the visual modality on language structure and conventionalization: Insights from sign language and gesture [Special Issue]. Topics in Cognitive Science, 7(1). doi:10.1111/tops.12113.
  • 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.
  • San Roque, L., & Bergvist, H. (Eds.). (2015). Epistemic marking in typological perspective [Special Issue]. STUF -Language typology and universals, 68(2).
  • 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. (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., & 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. (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.
  • 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. (1986). Anaphora resolution. In T. Myers, K. Brown, & B. McGonigle (Eds.), Reasoning and discourse processes (pp. 187-207). London: Academic Press.
  • 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., & Wekker, H. (1986). Semantic transparency as a factor in Creole genesis. In P. Muysken, & N. Smith (Eds.), Substrata versus universals in Creole genesis: Papers from the Amsterdam Creole Workshop, April 1985 (pp. 57-70). Amsterdam: Benjamins.
  • 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. (1979). Wat is semantiek? In B. Tervoort (Ed.), Wetenschap en taal: Een nieuwe reeks benaderingen van het verschijnsel taal (pp. 135-162). Muiderberg: Coutinho.
  • 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.
  • 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.
  • Stassen, H., & Levelt, W. J. M. (1979). Systems, automata, and grammars. In J. Michon, E. Eijkman, & L. De Klerk (Eds.), Handbook of psychonomics: Vol. 1 (pp. 187-243). Amsterdam: North Holland.
  • Thomassen, A. J., & Kempen, G. (1979). Memory. In J. A. Michon, E. Eijkman, & L. Klerk (Eds.), Handbook of psychonomics (pp. 75-137 ). Amsterdam: North-Holland Publishing Company.
  • 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.
  • 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. (1985). From sentence structure to intonation contour: An algorithm for computing pitch contours on the basis of sentence accents and syntactic structure. In B. Müller (Ed.), Sprachsynthese: Zur Synthese von natürlich gesprochener Sprache aus Texten und Konzepten (pp. 157-182). Hildesheim: Georg Olms.
  • 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 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.
  • Verdonschot, R. G., & Tamaoka, K. (Eds.). (2015). The production of speech sounds across languages [Special Issue]. Japanese Psychological Research, 57(1).
  • 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.
  • Weissenborn, J. (1986). Learning how to become an interlocutor. The verbal negotiation of common frames of reference and actions in dyads of 7–14 year old children. In J. Cook-Gumperz, W. A. Corsaro, & J. Streeck (Eds.), Children's worlds and children's language (pp. 377-404). Berlin: Mouton de Gruyter.
  • 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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