Publications

Displaying 1 - 12 of 12
  • 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.
  • 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.
  • 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.
  • Hagoort, P., & Poeppel, D. (2013). The infrastructure of the language-ready brain. In M. A. Arbib (Ed.), Language, music, and the brain: A mysterious relationship (pp. 233-255). Cambridge, MA: MIT Press.

    Abstract

    This chapter sketches in very general terms the cognitive architecture of both language comprehension and production, as well as the neurobiological infrastructure that makes the human brain ready for language. Focus is on spoken language, since that compares most directly to processing music. It is worth bearing in mind that humans can also interface with language as a cognitive system using sign and text (visual) as well as Braille (tactile); that is to say, the system can connect with input/output processes in any sensory modality. Language processing consists of a complex and nested set of subroutines to get from sound to meaning (in comprehension) or meaning to sound (in production), with remarkable speed and accuracy. The fi rst section outlines a selection of the major constituent operations, from fractionating the input into manageable units to combining and unifying information in the construction of meaning. The next section addresses the neurobiological infrastructure hypothesized to form the basis for language processing. Principal insights are summarized by building on the notion of “brain networks” for speech–sound processing, syntactic processing, and the construction of meaning, bearing in mind that such a neat three-way subdivision overlooks important overlap and shared mechanisms in the neural architecture subserving language processing. Finally, in keeping with the spirit of the volume, some possible relations are highlighted between language and music that arise from the infrastructure developed here. Our characterization of language and its neurobiological foundations is necessarily selective and brief. Our aim is to identify for the reader critical questions that require an answer to have a plausible cognitive neuroscience of language processing.
  • Scott, S. K., McGettigan, C., & Eisner, F. (2013). The neural basis of links and dissociations between speech perception and production. In J. J. Bolhuis, & M. Everaert (Eds.), Birdsong, speech and language: Exploring the evolution of mind and brain (pp. 277-294). Cambridge, Mass: MIT Press.
  • Senghas, A., Ozyurek, A., & Goldin-Meadow, S. (2013). Homesign as a way-station between co-speech gesture and sign language: The evolution of segmenting and sequencing. In R. Botha, & M. Everaert (Eds.), The evolutionary emergence of language: Evidence and inference (pp. 62-77). Oxford: Oxford University Press.
  • Sumer, B., Zwitserlood, I., Perniss, P. M., & Ozyurek, A. (2013). Acquisition of locative expressions in children learning Turkish Sign Language (TİD) and Turkish. In E. Arik (Ed.), Current directions in Turkish Sign Language research (pp. 243-272). Newcastle upon Tyne: Cambridge Scholars Publishing.

    Abstract

    In sign languages, where space is often used to talk about space, expressions of spatial relations (e.g., ON, IN, UNDER, BEHIND) may rely on analogue mappings of real space onto signing space. In contrast, spoken languages express space in mostly categorical ways (e.g. adpositions). This raises interesting questions about the role of language modality in the acquisition of expressions of spatial relations. However, whether and to what extent modality influences the acquisition of spatial language is controversial – mostly due to the lack of direct comparisons of Deaf children to Deaf adults and to age-matched hearing children in similar tasks. Furthermore, the previous studies have taken English as the only model for spoken language development of spatial relations.
    Therefore, we present a balanced study in which spatial expressions by deaf and hearing children in two different age-matched groups (preschool children and school-age children) are systematically compared, as well as compared to the spatial expressions of adults. All participants performed the same tasks, describing angular (LEFT, RIGHT, FRONT, BEHIND) and non-angular spatial configurations (IN, ON, UNDER) of different objects (e.g. apple in box; car behind box).
    The analysis of the descriptions with non-angular spatial relations does not show an effect of modality on the development of
    locative expressions in TİD and Turkish. However, preliminary results of the analysis of expressions of angular spatial relations suggest that signers provide angular information in their spatial descriptions
    more frequently than Turkish speakers in all three age groups, and thus showing a potentially different developmental pattern in this domain. Implications of the findings with regard to the development of relations in spatial language and cognition will be discussed.
  • Thompson-Schill, S., Hagoort, P., Dominey, P. F., Honing, H., Koelsch, S., Ladd, D. R., Lerdahl, F., Levinson, S. C., & Steedman, M. (2013). Multiple levels of structure in language and music. In M. A. Arbib (Ed.), Language, music, and the brain: A mysterious relationship (pp. 289-303). Cambridge, MA: MIT Press.

    Abstract

    A forum devoted to the relationship between music and language begins with an implicit assumption: There is at least one common principle that is central to all human musical systems and all languages, but that is not characteristic of (most) other domains. Why else should these two categories be paired together for analysis? We propose that one candidate for a common principle is their structure. In this chapter, we explore the nature of that structure—and its consequences for psychological and neurological processing mechanisms—within and across these two domains.
  • Zwitserlood, I., Perniss, P. M., & Ozyurek, A. (2013). Expression of multiple entities in Turkish Sign Language (TİD). In E. Arik (Ed.), Current Directions in Turkish Sign Language Research (pp. 272-302). Newcastle upon Tyne: Cambridge Scholars Publishing.

    Abstract

    This paper reports on an exploration of the ways in which multiple entities are expressed in Turkish Sign Language (TİD). The (descriptive and quantitative) analyses provided are based on a corpus of both spontaneous data and specifically elicited data, in order to provide as comprehensive an account as possible. We have found several devices in TİD for expression of multiple entities, in particular localization, spatial plural predicate inflection, and a specific form used to express multiple entities that are side by side in the same configuration (not reported for any other sign language to date), as well as numerals and quantifiers. In contrast to some other signed languages, TİD does not appear to have a productive system of plural reduplication. We argue that none of the devices encountered in the TİD data is a genuine plural marking device and that the plural interpretation of multiple entity localizations and plural predicate inflections is a by-product of the use of space to indicate the existence or the involvement in an event of multiple entities.

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