Publications

Displaying 1 - 24 of 24
  • Bauer, B. L. M. (2020). Appositive compounds in dialectal and sociolinguistic varieties of French. In M. Maiden, & S. Wolfe (Eds.), Variation and change in Gallo-Romance (pp. 326-346). Oxford: Oxford University Press.
  • Hagoort, P. (2020). Taal. In O. Van den Heuvel, Y. Van der Werf, B. Schmand, & B. Sabbe (Eds.), Leerboek neurowetenschappen voor de klinische psychiatrie (pp. 234-239). Amsterdam: Boom Uitgevers.
  • Hoeksema, N., Villanueva, S., Mengede, J., Salazar-Casals, A., Rubio-García, A., Curcic-Blake, B., Vernes, S. C., & Ravignani, A. (2020). Neuroanatomy of the grey seal brain: Bringing pinnipeds into the neurobiological study of vocal learning. In A. Ravignani, C. Barbieri, M. Flaherty, Y. Jadoul, E. Lattenkamp, H. Little, M. Martins, K. Mudd, & T. Verhoef (Eds.), The Evolution of Language: Proceedings of the 13th International Conference (Evolang13) (pp. 162-164). Nijmegen: The Evolution of Language Conferences.
  • Hoeksema, N., Wiesmann, M., Kiliaan, A., Hagoort, P., & Vernes, S. C. (2020). Bats and the comparative neurobiology of vocal learning. In A. Ravignani, C. Barbieri, M. Flaherty, Y. Jadoul, E. Lattenkamp, H. Little, M. Martins, K. Mudd, & T. Verhoef (Eds.), The Evolution of Language: Proceedings of the 13th International Conference (Evolang13) (pp. 165-167). Nijmegen: The Evolution of Language Conferences.
  • Levshina, N. (2020). How tight is your language? A semantic typology based on Mutual Information. In K. Evang, L. Kallmeyer, R. Ehren, S. Petitjean, E. Seyffarth, & D. Seddah (Eds.), Proceedings of the 19th International Workshop on Treebanks and Linguistic Theories (pp. 70-78). Düsseldorf, Germany: Association for Computational Linguistics. doi:10.18653/v1/2020.tlt-1.7.

    Abstract

    Languages differ in the degree of semantic flexibility of their syntactic roles. For example, Eng-
    lish and Indonesian are considered more flexible with regard to the semantics of subjects,
    whereas German and Japanese are less flexible. In Hawkins’ classification, more flexible lan-
    guages are said to have a loose fit, and less flexible ones are those that have a tight fit. This
    classification has been based on manual inspection of example sentences. The present paper
    proposes a new, quantitative approach to deriving the measures of looseness and tightness from
    corpora. We use corpora of online news from the Leipzig Corpora Collection in thirty typolog-
    ically and genealogically diverse languages and parse them syntactically with the help of the
    Universal Dependencies annotation software. Next, we compute Mutual Information scores for
    each language using the matrices of lexical lemmas and four syntactic dependencies (intransi-
    tive subjects, transitive subject, objects and obliques). The new approach allows us not only to
    reproduce the results of previous investigations, but also to extend the typology to new lan-
    guages. We also demonstrate that verb-final languages tend to have a tighter relationship be-
    tween lexemes and syntactic roles, which helps language users to recognize thematic roles early
    during comprehension.

    Additional information

    full text via ACL website
  • Misersky, J., & Redl, T. (2020). A psycholinguistic view on stereotypical and grammatical gender: The effects and remedies. In C. D. J. Bulten, C. F. Perquin-Deelen, M. H. Sinninghe Damsté, & K. J. Bakker (Eds.), Diversiteit. Een multidisciplinaire terreinverkenning (pp. 237-255). Deventer: Wolters Kluwer.
  • Ter Bekke, M., Drijvers, L., & Holler, J. (2020). The predictive potential of hand gestures during conversation: An investigation of the timing of gestures in relation to speech. In Proceedings of the 7th GESPIN - Gesture and Speech in Interaction Conference. Stockholm: KTH Royal Institute of Technology.

    Abstract

    In face-to-face conversation, recipients might use the bodily movements of the speaker (e.g. gestures) to facilitate language processing. It has been suggested that one way through which this facilitation may happen is prediction. However, for this to be possible, gestures would need to precede speech, and it is unclear whether this is true during natural conversation.
    In a corpus of Dutch conversations, we annotated hand gestures that represent semantic information and occurred during questions, and the word(s) which corresponded most closely to the gesturally depicted meaning. Thus, we tested whether representational gestures temporally precede their lexical affiliates. Further, to see whether preceding gestures may indeed facilitate language processing, we asked whether the gesture-speech asynchrony predicts the response time to the question the gesture is part of.
    Gestures and their strokes (most meaningful movement component) indeed preceded the corresponding lexical information, thus demonstrating their predictive potential. However, while questions with gestures got faster responses than questions without, there was no evidence that questions with larger gesture-speech asynchronies get faster responses. These results suggest that gestures indeed have the potential to facilitate predictive language processing, but further analyses on larger datasets are needed to test for links between asynchrony and processing advantages.
  • Chang, F., & Fitz, H. (2014). Computational models of sentence production: A dual-path approach. In M. Goldrick, & M. Miozzo (Eds.), The Oxford handbook of language production (pp. 70-89). Oxford: Oxford University Press.

    Abstract

    Sentence production is the process we use to create language-specific sentences that convey particular meanings. In production, there are complex interactions between meaning, words, and syntax at different points in sentences. Computational models can make these interactions explicit and connectionist learning algorithms have been useful for building such models. Connectionist models use domaingeneral mechanisms to learn internal representations and these mechanisms can also explain evidence of long-term syntactic adaptation in adult speakers. This paper will review work showing that these models can generalize words in novel ways and learn typologically-different languages like English and Japanese. It will also present modeling work which shows that connectionist learning algorithms can account for complex sentence production in children and adult production phenomena like structural priming, heavy NP shift, and conceptual/lexical accessibility.
  • Dolscheid, S., Willems, R. M., Hagoort, P., & Casasanto, D. (2014). The relation of space and musical pitch in the brain. In P. Bello, M. Guarini, M. McShane, & B. Scassellati (Eds.), Proceedings of the 36th Annual Meeting of the Cognitive Science Society (CogSci 2014) (pp. 421-426). Austin, Tx: Cognitive Science Society.

    Abstract

    Numerous experiments show that space and musical pitch are
    closely linked in people's minds. However, the exact nature of
    space-pitch associations and their neuronal underpinnings are
    not well understood. In an fMRI experiment we investigated
    different types of spatial representations that may underlie
    musical pitch. Participants judged stimuli that varied in
    spatial height in both the visual and tactile modalities, as well
    as auditory stimuli that varied in pitch height. In order to
    distinguish between unimodal and multimodal spatial bases of
    musical pitch, we examined whether pitch activations were
    present in modality-specific (visual or tactile) versus
    multimodal (visual and tactile) regions active during spatial
    height processing. Judgments of musical pitch were found to
    activate unimodal visual areas, suggesting that space-pitch
    associations may involve modality-specific spatial
    representations, supporting a key assumption of embodied
    theories of metaphorical mental representation.
  • Fitz, H. (2014). Computermodelle für Spracherwerb und Sprachproduktion. Forschungsbericht 2014 - Max-Planck-Institut für Psycholinguistik. In Max-Planck-Gesellschaft Jahrbuch 2014. München: Max Planck Society for the Advancement of Science. Retrieved from http://www.mpg.de/7850678/Psycholinguistik_JB_2014?c=8236817.

    Abstract

    Relative clauses are a syntactic device to create complex sentences and they make language structurally productive. Despite a considerable number of experimental studies, it is still largely unclear how children learn relative clauses and how these are processed in the language system. Researchers at the MPI for Psycholinguistics used a computational learning model to gain novel insights into these issues. The model explains the differential development of relative clauses in English as well as cross-linguistic differences
  • Hagoort, P. (2014). Introduction to section on language and abstract thought. In M. S. Gazzaniga, & G. R. Mangun (Eds.), The cognitive neurosciences (5th ed., pp. 615-618). Cambridge, Mass: MIT 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.
  • Heyselaar, E., Hagoort, P., & Segaert, K. (2014). In dialogue with an avatar, syntax production is identical compared to dialogue with a human partner. In P. Bello, M. Guarini, M. McShane, & B. Scassellati (Eds.), Proceedings of the 36th Annual Meeting of the Cognitive Science Society (CogSci 2014) (pp. 2351-2356). Austin, Tx: Cognitive Science Society.

    Abstract

    The use of virtual reality (VR) as a methodological tool is
    becoming increasingly popular in behavioural research due
    to its seemingly limitless possibilities. This new method has
    not been used frequently in the field of psycholinguistics,
    however, possibly due to the assumption that humancomputer
    interaction does not accurately reflect human-human
    interaction. In the current study we compare participants’
    language behaviour in a syntactic priming task with human
    versus avatar partners. Our study shows comparable priming
    effects between human and avatar partners (Human: 12.3%;
    Avatar: 12.6% for passive sentences) suggesting that VR is a
    valid platform for conducting language research and studying
    dialogue interactions.
  • Peeters, D., Azar, Z., & Ozyurek, A. (2014). The interplay between joint attention, physical proximity, and pointing gesture in demonstrative choice. In P. Bello, M. Guarini, M. McShane, & B. Scassellati (Eds.), Proceedings of the 36th Annual Meeting of the Cognitive Science Society (CogSci 2014) (pp. 1144-1149). Austin, Tx: Cognitive Science Society.
  • Schoffelen, J.-M., & Gross, J. (2014). Studying dynamic neural interactions with MEG. In S. Supek, & C. J. Aine (Eds.), Magnetoencephalography: From signals to dynamic cortical networks (pp. 405-427). Berlin: Springer.
  • Van Leeuwen, T. M., Petersson, K. M., Langner, O., Rijpkema, M., & Hagoort, P. (2014). Color specificity in the human V4 complex: An fMRI repetition suppression study. In T. D. Papageorgiou, G. I. Cristopoulous, & S. M. Smirnakis (Eds.), Advanced Brain Neuroimaging Topics in Health and Disease - Methods and Applications (pp. 275-295). Rijeka, Croatia: Intech. doi:10.5772/58278.
  • Gürcanli, Ö., Nakipoglu Demiralp, M., & Ozyurek, A. (2007). Shared information and argument omission in Turkish. In H. Caunt-Nulton, S. Kulatilake, & I. Woo (Eds.), Proceedings of the 31st Annual Boston University Conference on Language Developement (pp. 267-273). Somerville, Mass: Cascadilla Press.
  • Hagoort, P. (2007). The memory, unification, and control (MUC) model of language. In T. Sakamoto (Ed.), Communicating skills of intention (pp. 259-291). Tokyo: Hituzi Syobo.
  • Hagoort, P. (2007). The memory, unification, and control (MUC) model of language. In A. S. Meyer, L. Wheeldon, & A. Krott (Eds.), Automaticity and control in language processing (pp. 243-270). Hove: Psychology Press.
  • Kita, S., & Ozyurek, A. (2007). How does spoken language shape iconic gestures? In S. Duncan, J. Cassel, & E. Levy (Eds.), Gesture and the dynamic dimension of language (pp. 67-74). Amsterdam: Benjamins.
  • Ozyurek, A. (2007). Processing of multi-modal semantic information: Insights from cross-linguistic comparisons and neurophysiological recordings. In T. Sakamoto (Ed.), Communicating skills of intention (pp. 131-142). Tokyo: Hituzi Syobo Publishing.
  • De Ruiter, J. P., Noordzij, M. L., Newman-Norlund, S., Hagoort, P., & Toni, I. (2007). On the origins of intentions. In P. Haggard, Y. Rossetti, & M. Kawato (Eds.), Sensorimotor foundations of higher cognition (pp. 593-610). Oxford: Oxford University Press.
  • 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 Alphen, P. M., De Bree, E., Fikkert, P., & Wijnen, F. (2007). The role of metrical stress in comprehension and production of Dutch children at risk of dyslexia. In Proceedings of Interspeech 2007 (pp. 2313-2316). Adelaide: Causal Productions.

    Abstract

    The present study compared the role of metrical stress in comprehension and production of three-year-old children with a familial risk of dyslexia with that of normally developing children. A visual fixation task with stress (mis-)matches in bisyllabic words, as well as a non-word repetition task with bisyllabic targets were presented to the control and at-risk children. Results show that the at-risk group is less sensitive to stress mismatches in word recognition than the control group. Correct production of metrical stress patterns did not differ significantly between the groups, but the percentages of phonemes produced correctly were lower for the at-risk than the control group. The findings indicate that processing of metrical stress patterns is not impaired in at-risk children, but that the at-risk group cannot exploit metrical stress in word recognition

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