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Results: 138
Number of items: 138
  • Open Access
    Broedelet, I., Boersma, P., & Rispens, J. (2022). School-Aged Children Learn Novel Categories on the Basis of Distributional Information. Frontiers in Psychology, 12, Article 799241. https://doi.org/10.3389/fpsyg.2021.799241
  • Open Access
    Pfeifer, J. (2022). Untwisting amusia: What behavior, brain waves and genetic underpinnings reveal about perception in congenital amusia. [Thesis, fully internal, Universiteit van Amsterdam, Heinrich-Heine-Universität].
  • Open Access
    van Witteloostuijn, M., Boersma, P., Wijnen, F., & Rispens, J. (2021). Grammatical performance in children with dyslexia: the contributions of individual differences in phonological memory and statistical learning. Applied Psycholinguistics, 42(3), 791-821. https://doi.org/10.1017/S0142716421000102
  • Open Access
    Pariente, I. (2021). Theoretical issues in Modern Hebrew phonology. [Thesis, externally prepared, Universiteit van Amsterdam]. LOT. https://doi.org/10.48273/LOT0599
  • Open Access
    Broedelet, I., Boersma, P., & Rispens, J. (2021). Measuring (online) word segmentation in adults and children. Dutch Journal of Applied Linguistics, 10. https://doi.org/10.51751/dujal9607
  • Open Access
    van Witteloostuijn, M., Boersma, P., Wijnen, F., & Rispens, J. (2021). The contribution of individual differences in statistical learning to reading and spelling performance in children with and without dyslexia. Dyslexia, 27(2), 168-186. https://doi.org/10.1002/dys.1678
  • Open Access
    Seinhorst, K. T. (2021). The complexity and learnability of phonological patterns: Simulations, experiments, typology. [Thesis, fully internal, Universiteit van Amsterdam]. LOT.
  • Broedelet, I. R. L., Boersma, P. P. G., & Rispens, J. E. (2021, October 22). DATA ANALYSIS - Distributional learning of novel visual object categories in children with and without developmental language disorder [Data set]. Universiteit van Amsterdam. https://doi.org/10.21942/uva.13095317.v1
  • Open Access
    Boersma, P., Benders, T., & Seinhorst, K. (2020). Neural network models for phonology and phonetics. Journal of Language Modelling, 8(1), 103-177. https://doi.org/10.15398/jlm.v8i1.224
  • Open Access
    Velner, E., Boersma, P. P. G., & de Graaf, M. M. A. (2020). Intonation in robot speech: Does it work the same as with people? In HRI '20: Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction : March 23-26, 2020, Cambridge, United Kingdom (pp. 569-578). The Association for Computing Machinery. https://doi.org/10.1145/3319502.3374801
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