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Dr. ing. R. (Raquel) Garrido Alhama

Faculteit der Geesteswetenschappen
Capaciteitsgroep Nederlandse Taalkunde

Bezoekadres
  • Spuistraat 134
Postadres
  • Postbus 1637
    1000 BP Amsterdam
Contactgegevens
  • Publicaties

    2025

    • Alhama, R. G., & Alishahi, A. (2025). Computational Models of Language Learning. In M. C. Frank, & A. Majid (Eds.), Open Encyclopedia of Cognitive Science MIT Press. https://oecs.mit.edu/pub/hexmhaj8/release/1
    • Brandes, T. N. H. R., Groot, J. J., & Alhama, R. G. (2025). CNNs Generalize Numerosity Across Naturalistic Stimuli Without Single-Unit Selectivity. In D. Barner, N. R. Bramley, A. Ruggeri, & C. M. Walker (Eds.), 47th Annual Meeting of the Cognitive Science Society (CogSci 2025) (pp. 4934-4940). (Proceedings of the Annual Meeting of the Cognitive Science Society; Vol. 47). Cognitive Science Society. https://escholarship.org/uc/item/8791m5qc
    • Klamra, C., Keur, F., & Alhama, R. G. (2025). Noise May Drown Out Words but Foster Compositionality: The Advantage of the Erasure and Deletion Noisy Channels on Emergent Communication. In K. Inui, S. Sakti, H. Wang, D. F. Wong, P. Bhattacharyya, B. Banerjee, A. Ekbal, T. Chakraborty, & D. P. Singh (Eds.), The 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics: proceedings of the conference : IJCNLP-AACL 2025 : December 20-24, 2025 (Vol. 1, pp. 3141-3166). Association for Computational Linguistics. https://aclanthology.org/2025.ijcnlp-long.168/ [details]
    • Pestel, J., Bloem, J., & Alhama, R. G. (2025). Evaluating Dutch Speakers and Large Language Models on Standard Dutch: a grammatical Challenge Set based on the Algemene Nederlandse Spraakkunst. Computational Linguistics in the Netherlands Journal, 14, 555-582. https://www.clinjournal.org/clinj/article/view/216 [details]

    2024

    2023

    • Alhama, R. G., Foushee, R., Byrne, D., Ettinger, A., Goldin-Meadow, S., & Alishahi, A. (2023). Linguistic Productivity: the Case of Determiners in English. In Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics: Nusa Dua, Bali (Vol. 1, pp. 330-343). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.ijcnlp-main.21
    • Alhama, R. G., Rowland, C. F., & Kidd, E. (2023). How does linguistic context influence word learning? Journal of Child Language, 50(6), 1374-1393. https://doi.org/10.1017/S0305000923000302

    2022

    • Alhama, R. G. (2022). Word Segmentation as Unsupervised Constituency Parsing. In S. Muresan, P. Nakov, & A. Villavicencio (Eds.), The 60th Annual Meeting of the Association for Computational Linguistics: ACL 2022 : proceedings of the conference : May 22-27, 2022 (Vol. 1, pp. 4103-4112). Association for Computational Linguistics. https://doi.org/10.18653/v1/2022.acl-long.283
    • Elazar, A., Alhama, R. G., Bogaerts, L., Siegelman, N., Baus, C., & Frost, R. (2022). When the “Tabula” is Anything but “Rasa:” What Determines Performance in the Auditory Statistical Learning Task? Cognitive Science, 46(2), Article e13102. https://doi.org/10.1111/cogs.13102
    • Vanmassenhove, E., De Sisto, M., Alhama, R. G., Lentz, T. O., Engelen, J., & Shterionov, D. (2022). Preface. Computational Linguistics in the Netherlands Journal, 12, 3-5. https://clinjournal.org/clinj/article/view/143

    2021

    • Alhama, R. G., Rowland, C., & Kidd, E. (2021). How Much Context is Helpful for Noun and Verb Acquisition? In T. C. Stewart (Ed.), Proceedings of ICCM 2021 - 19th International Conference on Cognitive Modelling (pp. 8-9). (Proceedings of ICCM 2021 - 19th International Conference on Cognitive Modelling). Applied Cognitive Science Lab, Penn State.
    • Alhama, R. G., Zermiani, F., & Khaliq, A. (2021). Retrodiction as Delayed Recurrence: the Case of Adjectives in Italian and English. In Proceedings of the 19th Workshop of the Australasian Language Technology Association: ALTA 2021 : 8-10 December, 2021, online (pp. 163-168). ALTA. https://alta2021.alta.asn.au/files/ALTA2021-proceedings-draft.pdf

    2020

    • Alhama, R. G., Rowland, C., & Kidd, E. (2020). Evaluating Word Embeddings for Language Acquisition. In The Workshop on Cognitive Modeling and Computational Linguistics: proceedings of the workshop : CMCL 2020 : November 19, 2020, online event (pp. 38-42). Association for Computational Linguistics. https://doi.org/10.18653/v1/2020.cmcl-1.4
    • Zuidema, W., French, R. M., Alhama, R. G., Ellis, K., O'Donnell, T. J., Sainburg, T., & Gentner, T. Q. (2020). Five Ways in Which Computational Modeling Can Help Advance Cognitive Science: Lessons From Artificial Grammar Learning. Topics in Cognitive Science, 12(3), 925-941. https://doi.org/10.1111/tops.12474 [details]

    2019

    • Alhama, R. G., & Zuidema, W. (2019). A review of computational models of basic rule learning: The neural-symbolic debate and beyond. Psychonomic Bulletin and Review, 26(4), 1174-1194. https://doi.org/10.3758/s13423-019-01602-z [details]
    • Alhama, R. G., Siegelman, N., Frost, R., & Armstrong, B. C. (2019). The Role of Information in Visual Word Recognition: A Perceptually-Constrained Connectionist Account. In A. K. Goel, C. M. Seifert, & C. Freksa (Eds.), Creativity + cognition + computation: 41st Annual Meeting of the Cognitive Science Society (CogSci 2019) : Montreal, Canada, 24-27 July 2019 (Vol. 1, pp. 83-89). Cognitive Science Society. https://cognitivesciencesociety.org/cogsci-2019/ [details]

    2018

    2017

    • Alhama, R. G., & Zuidema, W. (2017). Segmentation as Retention and Recognition: the R&R model. In G. Gunzelmann, A. Howes, T. Tenbrink, & E. J. Davelaar (Eds.), CogSci 2017: proceedings of the 39th Annual Meeting of the Cognitive Science Society : London, UK : 26-29 July 2017 : Computational Foundations of Cognition (Vol. 2, pp. 1531-1536). Cognitive Science Society. https://cognitivesciencesociety.org/wp-content/uploads/2019/01/cogsci17_proceedings.pdf [details]
    • Stanojević, M., & Alhama, R. G. (2017). Neural Discontinuous Constituency Parsing. In M. Palmer, R. Hwa, & S. Riedel (Eds.), The Conference on Empirical Methods in Natural Language Processing: proceedings of the conference : EMNLP 2017 : September 9-11, 2017, Copenhagen, Denmark (pp. 1666-1676). Association for Computational Linguistics. https://doi.org/10.18653/v1/D17-1174 [details]

    2016

    • Alhama, R. G., & Zuidema, W. (2016). Pre-Wiring and Pre-Training: What does a neural network need to learn truly general identity rules? In T. R. Besold, A. Bordes, A. d'Avila Garcez, & G. Wayne (Eds.), Proceedings of the Workshop on Cognitive Computation: Integrating neural and symbolic approaches 2016: co-located with the 30th Annual Conference on Neural Information Processing Systems (NIPS 2016) : Barcelona, Spain, December 9, 2016 Article 4 (CEUR Workshop Proceedings; Vol. 1773). CEUR-WS. http://ceur-ws.org/Vol-1773/CoCoNIPS_2016_paper4.pdf [details]
    • Alhama, R. G., & Zuidema, W. (2016). Generalization in Artificial Language Learning: Modelling the Propensity to Generalize. In A. Korhonen, A. Lenci, B. Murphy, T. Poibeau, & A. Villavicencio (Eds.), The 54th Annual Meeting of the Association for Computational Linguistics: proceedings of the 7th Workshop on Cognitive Aspects of Computational Language Learning: August 11, 2016, Berlin, Germany (pp. 64-72). Association for Computational Linguistics. https://doi.org/10.18653/v1/W16-19 [details]

    2015

    • Alhama, R. G., Scha, R., & Zuidema, W. (2015). How should we evaluate models of segmentation in artificial language learning? In N. A. Taatgen, M. K. van Vugt, J. P. Borst, & K. Mehlhorn (Eds.), Proceedings of ICCM 2015 - 13th International Conference on Cognitive Modeling (pp. 172-173). (Proceedings of ICCM 2015 - 13th International Conference on Cognitive Modeling). University of Groningen Press.

    2014

    • Alhama, R. G., Scha, R., & Zuidema, W. (2014). Rule Learning in Humans and Animals. In E. A. Cartmill, S. Roberts, H. Lyn, & H. Cornish (Eds.), The Evolution of Language: proceedings of the 10th International Conference (EVOLANG10), Vienna, Austria, 14-17 April 2014 (pp. 371-372). World Scientific. https://doi.org/10.1142/9789814603638_0049 [details]

    2025

    • Le, P., Lindeman, M., & Alhama, R. G. (2025). On the Optimality of Discrete Object Naming: a Kinship Case Study. https://arxiv.org/abs/2511.19120
    • Nicenboim, B., van Vugt, M., Alhama, R. G., Anderson, B., Bontje, F., Chimento, M., Columbus, S., Dalmaijer, E., Dotlačil10, J., Østergaard, S. M., Thestrup Waade, P., van Maanen, L., K. Ward, E., Winkowski, J., & Fusaroli, R. (2025). It takes a village to model complex behaviour: A community-based approach.

    2012

    • Martí, M. A., Alhama, R. G., & Recasens, M. (2012). Los avances tecnológicos y la ciencia del lenguaje. In T. Jiménez Juliá, B. López Meirama, V. Vázquez Rozas, & A. Veiga (Eds.), Cum corde et in nova grammatica: estudios ofrecidos a Guillermo Rojo (pp. 543-553). (Homenaxes). Universidade de Santiago de Compostela, Servizo de Publicacións e Intercambio Científico.

    Prijs / subsidie

    • Alhama, R. G. (2025). Honorable Mention.
    • Garrido Alhama, R. (2024). Language Evolution in a Relational World. https://www.nwo.nl/en/projects/406xs2401128
    • Garrido Alhama, R. & Zuidema, W. (2019). Best Article Award of Psychonomic Bulletin & Review (2019).

    Spreker

    • Garrido Alhama, R. (speaker) (16-4-2024). Modeling Determiner Productivity: the case of Determiners, Experimental Methods in Language Acquisition Research (EMLAR), Utrecht.

    2017

    • Garrido Alhama, R. (2017). Computational modelling of Artificial Language Learning: Retention, Recognition & Recurrence. [Thesis, fully internal, Universiteit van Amsterdam]. [details]
    This list of publications is extracted from the UvA-Current Research Information System. Questions? Ask the library or the Pure staff of your faculty / institute. Log in to Pure to edit your publications. Log in to Personal Page Publication Selection tool to manage the visibility of your publications on this list.
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