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Results: 139
Number of items: 139
  • Open Access
    Boersma, P. (2019). Simulated distributional learning in deep Boltzmann machines leads to the emergence of discrete categories. In Proceedings of the 19th International Congress of Phonetic Sciences, Melbourne, Australia 2019: ICPhS2019 : 5-9 August 2019, Melbourne Australia (pp. 1520-1524). Australasian Speech Science and Technology Association Inc.
  • Open Access
    van Witteloostuijn, M., Boersma, P., Wijnen, F., & Rispens, J. (2019). Statistical learning abilities of children with dyslexia across three experimental paradigms. PLoS ONE, 14(8), Article e0220041. https://doi.org/10.1371/journal.pone.0220041
  • Open Access
    Miatto, V., Hamann, S., & Boersma, P. (2019). Self-reported L2 input predicts phonetic variation in the adaptation of English final consonants into Italian. In S. Calhoun, P. Escudero, M. Tabain, & P. Warren (Eds.), Proceedings of the 19th International Congress of Phonetic Sciences, Melbourne, Australia 2019: ICPhS2019 : 5-9 August 2019, Melbourne Australia (pp. 949-953). Australasian Speech Science and Technology Association Inc. https://assta.org/proceedings/ICPhS2019/papers/ICPhS_998.pdf
  • Kehrein, W., Köhnlein, B., Boersma, P., & van Oostendorp, M. (Eds.) (2018). Segmental structure and tone. (Linguistische Arbeiten; Vol. 552). De Gruyter. https://doi.org/10.1515/9783110341263
  • Open Access
    Breteler, J., & Boersma, P. (2018). Using simulated learning to account for tone typology. In 6th International Symposium on Tonal Aspects of Languages: Berlin, Germany, 18-20 June 2018 (pp. 51-55). ISCA. https://doi.org/10.21437/TAL.2018-11
  • Open Access
    Breteler, J. M. W. (2018). A foot-based typology of tonal reassociation: Perspectives from synchrony and learnability. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Boersma, P. (2018). The history of the Franconian tone contrast. In W. Kehrein, B. Köhnlein, P. Boersma, & M. van Oostendorp (Eds.), Segmental structure and tone (pp. 27-97). (Linguistische Arbeiten; Vol. 552). De Gruyter. https://doi.org/10.1515/9783110341263-003
  • Open Access
    Boersma, P., & van Leussen, J.-W. (2017). Efficient Evaluation and Learning in Multilevel Parallel Constraint Grammars. Linguistic Inquiry, 48(3), 349-388. https://doi.org/10.1162/ling_a_00247
  • Open Access
    Lammertink, I., Boersma, P., Wijnen, F., & Rispens, J. (2017). Statistical Learning in Specific Language Impairment: A Meta-Analysis. Journal of Speech, Language, and Hearing Research, 60, 3474-3486. https://doi.org/10.1044/2017_JSLHR-L-16-0439
  • Open Access
    van Witteloostuijn, M., Boersma, P., Wijnen, F., & Rispens, J. (2017). Visual artificial grammar learning in dyslexia: A meta-analysis. Research in Developmental Disabilities, 70, 126-137. https://doi.org/10.1016/j.ridd.2017.09.006
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