Publications

Displaying 201 - 234 of 234
  • Senft, G., Majid, A., & Levinson, S. C. (2007). The language of taste. In A. Majid (Ed.), Field Manual Volume 10 (pp. 42-45). Nijmegen: Max Planck Institute for Psycholinguistics. doi:10.17617/2.492913.
  • Senft, G. (1998). Zeichenkonzeptionen in Ozeanien. In R. Posner, T. Robering, & T.. Sebeok (Eds.), Semiotics: A handbook on the sign-theoretic foundations of nature and culture (Vol. 2) (pp. 1971-1976). Berlin: de Gruyter.
  • Seuren, P. A. M. (2010). Donkey sentences. In A. Barber, & R. J. Stainton (Eds.), Concise encyclopedia of philosophy of language and linguistics (pp. 169-171). Amsterdam: Elsevier.
  • 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. (2010). Aristotle and linguistics. In A. Barber, & R. J. Stainton (Eds.), Concise encyclopedia of philosophy of language and linguistics (pp. 25-27). Amsterdam: Elsevier.

    Abstract

    Aristotle's importance in the professional study of language consists first of all in the fact that he demythologized language and made it an object of rational investigation. In the context of his theory of truth as correspondence, he also provided the first semantic analysis of propositions in that he distinguished two main constituents, the predicate, which expresses a property, and the remainder of the proposition, referring to a substance to which the property is assigned. That assignment is either true or false. Later, the ‘remainder’ was called subject term, and the Aristotelian predicate was identified with the verb in the sentence. The Aristotelian predicate, however, is more like what is now called the ‘comment,’ whereas his remainder corresponds to the topic. Aristotle, furthermore, defined nouns and verbs as word classes. In addition, he introduced the term ‘case’ for paradigmatic morphological variation.
  • Seuren, P. A. M. (2010). Meaning: Cognitive dependency of lexical meaning. In A. Barber, & R. J. Stainton (Eds.), Concise encyclopedia of philosophy of language and linguistics (pp. 424-426). Amsterdam: Elsevier.
  • Seuren, P. A. M. (2010). Presupposition. In A. Barber, & R. J. Stainton (Eds.), Concise encyclopedia of philosophy of language and linguistics (pp. 589-596). Amsterdam: Elsevier.
  • 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. (1998). Towards a discourse-semantic account of donkey anaphora. In S. Botley, & T. McEnery (Eds.), New Approaches to Discourse Anaphora: Proceedings of the Second Colloquium on Discourse Anaphora and Anaphor Resolution (DAARC2) (pp. 212-220). Lancaster: Universiy Centre for Computer Corpus Research on Language, Lancaster University.
  • Silva, S., Petersson, K. M., & Castro, S. (2016). Rhythm in the brain: Is music special? In D. Da Silva Marques, & J. Avila-Toscano (Eds.), Neuroscience to neuropsychology: The study of the human brain (pp. 29-54). Barranquilla, Colombia: Ediciones CUR.
  • Skiba, R. (2010). Polnisch. In S. Colombo-Scheffold, P. Fenn, S. Jeuk, & J. Schäfer (Eds.), Ausländisch für Deutsche. Sprachen der Kinder - Sprachen im Klassenzimmer (2. korrigierte und erweiterte Auflage, pp. 165-176). Freiburg: Fillibach.
  • Smith, A. C., Monaghan, P., & Huettig, F. (2016). Complex word recognition behaviour emerges from the richness of the word learning environment. In K. Twomey, A. C. Smith, G. Westermann, & P. Monaghan (Eds.), Neurocomputational Models of Cognitive Development and Processing: Proceedings of the 14th Neural Computation and Psychology Workshop (pp. 99-114). Singapore: World Scientific. doi:10.1142/9789814699341_0007.

    Abstract

    Computational models can reflect the complexity of human behaviour by implementing multiple constraints within their architecture, and/or by taking into account the variety and richness of the environment to which the human is responding. We explore the second alternative in a model of word recognition that learns to map spoken words to visual and semantic representations of the words’ concepts. Critically, we employ a phonological representation utilising coarse-coding of the auditory stream, to mimic early stages of language development that are not dependent on individual phonemes to be isolated in the input, which may be a consequence of literacy development. The model was tested at different stages during training, and was able to simulate key behavioural features of word recognition in children: a developing effect of semantic information as a consequence of language learning, and a small but earlier effect of phonological information on word processing. We additionally tested the role of visual information in word processing, generating predictions for behavioural studies, showing that visual information could have a larger effect than semantics on children’s performance, but that again this affects recognition later in word processing than phonological information. The model also provides further predictions for performance of a mature word recognition system in the absence of fine-coding of phonology, such as in adults who have low literacy skills. The model demonstrated that such phonological effects may be reduced but are still evident even when multiple distractors from various modalities are present in the listener’s environment. The model demonstrates that complexity in word recognition can emerge from a simple associative system responding to the interactions between multiple sources of information in the language learner’s environment.
  • Stivers, T., Enfield, N. J., & Levinson, S. C. (2007). Person reference in interaction. In N. J. Enfield, & T. Stivers (Eds.), Person reference in interaction: Linguistic, cultural, and social perspectives (pp. 1-20). Cambridge: Cambridge University Press.
  • Stivers, T. (2007). Alternative recognitionals in person reference. In N. Enfield, & T. Stivers (Eds.), Person reference in interaction: Linguistic, cultural, and social perspectives (pp. 73-96). Cambridge: Cambridge University Press.
  • Stolker, C. J. J. M., & Poletiek, F. H. (1998). Smartengeld - Wat zijn we eigenlijk aan het doen? Naar een juridische en psychologische evaluatie. In F. Stadermann (Ed.), Bewijs en letselschade (pp. 71-86). Lelystad, The Netherlands: Koninklijke Vermande.
  • Sumer, B., & Ozyurek, A. (2016). İşitme Engelli Çocukların Dil Edinimi [Sign language acquisition by deaf children]. In C. Aydin, T. Goksun, A. Kuntay, & D. Tahiroglu (Eds.), Aklın Çocuk Hali: Zihin Gelişimi Araştırmaları [Research on Cognitive Development] (pp. 365-388). Istanbul: Koc University Press.
  • Sumer, B. (2016). Scene-setting and reference introduction in sign and spoken languages: What does modality tell us? In B. Haznedar, & F. N. Ketrez (Eds.), The acquisition of Turkish in childhood (pp. 193-220). Amsterdam: Benjamins.

    Abstract

    Previous studies show that children do not become adult-like in learning to set the scene and introduce referents in their narrations until 9 years of age and even beyond. However, they investigated spoken languages, thus we do not know much about how these skills are acquired in sign languages, where events are expressed in visually similar ways to the real world events, unlike in spoken languages. The results of the current study demonstrate that deaf children (3;5–9;10 years) acquiring Turkish Sign Language, and hearing children (3;8–9;11 years) acquiring spoken Turkish both acquire scene-setting and referent introduction skills at similar ages. Thus the modality of the language being acquired does not have facilitating or hindering effects in the development of these skills.
  • Sumer, B., Zwitserlood, I., Perniss, P., & Ozyurek, A. (2016). Yer Bildiren İfadelerin Türkçe ve Türk İşaret Dili’nde (TİD) Çocuklar Tarafından Edinimi [The acqusition of spatial relations by children in Turkish and Turkish Sign Language (TID)]. In E. Arik (Ed.), Ellerle Konuşmak: Türk İşaret Dili Araştırmaları [Speaking with hands: Studies on Turkish Sign Language] (pp. 157-182). Istanbul: Koç University Press.
  • Suppes, P., Böttner, M., & Liang, L. (1998). Machine Learning of Physics Word Problems: A Preliminary Report. In A. Aliseda, R. van Glabbeek, & D. Westerståhl (Eds.), Computing Natural Language (pp. 141-154). Stanford, CA, USA: CSLI Publications.
  • Terrill, A. (2010). Complex predicates and complex clauses in Lavukaleve. In J. Bowden, N. P. Himmelman, & M. Ross (Eds.), A journey through Austronesian and Papuan linguistic and cultural space: Papers in honour of Andrew K. Pawley (pp. 499-512). Canberra: Pacific Linguistics.
  • Trilsbeek, P., & Wittenburg, P. (2007). "Los acervos lingüísticos digitales y sus desafíos". In J. Haviland, & F. Farfán (Eds.), Bases de la documentacíon lingüística (pp. 359-385). Mexico: Instituto Nacional de Lenguas Indígenas.

    Abstract

    This chapter describes the challenges that modern digital language archives are faced with. One essential aspect of such an archive is to have a rich metadata catalog such that the archived resources can be easily discovered. The challenge of the archive is to obtain these rich metadata descriptions from the depositors without creating too much overhead for them. The rapid changes in storage technology, file formats and encoding standards make it difficult to build a long-lasting repository, therefore archives need to be set up in such a way that a straightforward and automated migration process to newer technology is possible whenever certain technology becomes obsolete. Other problems arise from the fact that there are many different groups of users of the archive, each of them with their own specific expectations and demands. Often conflicts exist between the requirements for different purposes of the archive, e.g. between long-term preservation of the data versus direct access to the resources via the web. The task of the archive is to come up with a technical solution that works well for most usage scenarios.
  • 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.
  • Tufvesson, S. (2007). Expressives. In A. Majid (Ed.), Field Manual Volume 10 (pp. 53-58). Nijmegen: Max Planck Institute for Psycholinguistics. doi:10.17617/2.492919.
  • Van Alphen, P. M. (2007). Prevoicing in Dutch initial plosives: Production, perception, and word recognition. In J. van de Weijer, & E. van der Torre (Eds.), Voicing in Dutch (pp. 99-124). Amsterdam: Benjamins.

    Abstract

    Prevoicing is the presence of vocal fold vibration during the closure of initial voiced plosives (negative VOT). The presence or absence of prevoicing is generally used to describe the voicing distinction in Dutch initial plosives. However, a phonetic study showed that prevoicing is frequently absent in Dutch. This article discusses the role of prevoicing in the production and perception of Dutch plosives. Furthermore, two cross-modal priming experiments are presented that examined the effect of prevoicing variation on word recognition. Both experiments showed no difference between primes with 12, 6 or 0 periods of prevoicing, even though a third experiment indicated that listeners could discriminate these words. These results are discussed in light of another priming experiment that did show an effect of the absence of prevoicing, but only when primes had a voiceless word competitor. Phonetic detail appears to influence lexical access only when it helps to distinguish between lexical candidates.
  • Van Valin Jr., R. D. (2016). An overview of information structure in three Amazonian languages. In M. Fernandez-Vest, & R. D. Van Valin Jr. (Eds.), Information structure and spoken language from a cross-linguistic perspective (pp. 77-92). Berlin: Mouton de Gruyter.
  • 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 Geenhoven, V. (1998). On the Argument Structure of some Noun Incorporating Verbs in West Greenlandic. In M. Butt, & W. Geuder (Eds.), The Projection of Arguments - Lexical and Compositional Factors (pp. 225-263). Stanford, CA, USA: CSLI Publications.
  • Van Valin Jr., R. D. (1998). The acquisition of WH-questions and the mechanisms of language acquisition. In M. Tomasello (Ed.), The new psychology of language: Cognitive and functional approaches to language structure (pp. 221-249). Mahwah, New Jersey: Erlbaum.
  • Van Valin Jr., R. D. (2010). Role and reference grammar as a framework for linguistic analysis. In B. Heine, & H. Narrog (Eds.), The Oxford handbook of linguistic analysis (pp. 703-738). Oxford: Oxford University Press.
  • Weber, A., Crocker, M., & Knoeferle, P. (2010). Conflicting constraints in resource-adaptive language comprehension. In M. W. Crocker, & J. Siekmann (Eds.), Resource-adaptive cognitive processes (pp. 119-141). New York: Springer.

    Abstract

    The primary goal of psycholinguistic research is to understand the architectures and mechanisms that underlie human language comprehension and production. This entails an understanding of how linguistic knowledge is represented and organized in the brain and a theory of how that knowledge is accessed when we use language. Research has traditionally emphasized purely linguistic aspects of on-line comprehension, such as the influence of lexical, syntactic, semantic and discourse constraints, and their tim -course. It has become increasingly clear, however, that nonlinguistic information, such as the visual environment, are also actively exploited by situated language comprehenders.
  • 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.
  • Wilkins, D., Kita, S., & Enfield, N. J. (2007). 'Ethnography of pointing' - field worker's guide. In A. Majid (Ed.), Field Manual Volume 10 (pp. 89-95). Nijmegen: Max Planck Institute for Psycholinguistics. doi:10.17617/2.492922.

    Abstract

    Pointing gestures are recognised to be a primary manifestation of human social cognition and communicative capacity. The goal of this task is to collect empirical descriptions of pointing practices in different cultural settings.
  • Willems, R. M., & Hagoort, P. (2010). Cortical motor contributions to language understanding. In L. Hermer (Ed.), Reciprocal interactions among early sensory and motor areas and higher cognitive networks (pp. 51-72). Kerala, India: Research Signpost Press.

    Abstract

    Here we review evidence from cognitive neuroscience for a tight relation between language and action in the brain. We focus on two types of relation between language and action. First, we investigate whether the perception of speech and speech sounds leads to activation of parts of the cortical motor system also involved in speech production. Second, we evaluate whether understanding action-related language involves the activation of parts of the motor system. We conclude that whereas there is considerable evidence that understanding language can involve parts of our motor cortex, this relation is best thought of as inherently flexible. As we explain, the exact nature of the input as well as the intention with which language is perceived influences whether and how motor cortex plays a role in language processing.
  • Wittenburg, P., & Trilsbeek, P. (2010). Digital archiving - a necessity in documentary linguistics. In G. Senft (Ed.), Endangered Austronesian and Australian Aboriginal languages: Essays on language documentation, archiving and revitalization (pp. 111-136). Canberra: Pacific Linguistics.

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