When the “tabula” is anything but “rasa:” what determines performance in the auditory statistical learning task? A Elazar, RG Alhama, L Bogaerts, N Siegelman, C Baus, R Frost Cognitive Science 46 (2), e13102, 2022 | 25 | 2022 |
A review of computational models of basic rule learning: The neural-symbolic debate and beyond RG Alhama, W Zuidema Psychonomic bulletin & review 26, 1174-1194, 2019 | 25 | 2019 |
Pre-wiring and pre-training: What does a neural network need to learn truly general identity rules? RG Alhama, W Zuidema Journal of Artificial Intelligence Research 61, 927-946, 2018 | 23 | 2018 |
Neural discontinuous constituency parsing M Stanojevic, RG Alhama 2017 Conference on Empirical Methods in Natural Language Processing, 1666-1676, 2017 | 16 | 2017 |
Five ways in which computational modeling can help advance cognitive science: Lessons from artificial grammar learning W Zuidema, RM French, RG Alhama, K Ellis, TJ O'Donnell, T Sainburg, ... Topics in cognitive science 12 (3), 925-941, 2020 | 14 | 2020 |
The role of information in visual word recognition: A perceptually-constrained connectionist account RG Alhama, N Siegelman, R Frost, BC Armstrong The 41st annual meeting of the cognitive science society (cogsci 2019), 83-89, 2019 | 7 | 2019 |
Evaluating word embeddings for language acquisition RG Alhama, CF Rowland, E Kidd (Online) Workshop on Cognitive Modeling and Computational Linguistics (CMCL …, 2020 | 6 | 2020 |
How should we evaluate models of segmentation in artificial language learning? RG Alhama, R Scha, W Zudema University of Groningen, 2015 | 6 | 2015 |
Segmentation as Retention and Recognition: the R&R model RG Alhama, W Zuidema Proceedings of the 39th Annual Conference of the Cognitive Science Society., 2017 | 5 | 2017 |
Computational modelling of artificial language learning: Retention, recognition & recurrence RG Alhama University of Amsterdam, 2017 | 3 | 2017 |
Generalization in Artificial Language Learning: Modelling the Propensity to Generalize RG Alhama, W Zuidema Proceedings of the 7th Workshop on Cognitive Aspects of Computational …, 2016 | 3 | 2016 |
Los avances tecnológicos y la ciencia del lenguaje M Martí, RG Alhama, M Recasens Universidad de Santiago de Compostela, 2012 | 3 | 2012 |
Retrodiction as delayed recurrence: the case of adjectives in italian and english RG Alhama, F Zermiani, A Khaliq Proceedings of the 19th Annual Workshop of the Australasian Language …, 2021 | 2 | 2021 |
Linguistic Productivity: the Case of Determiners in English RG Alhama, R Foushee, D Byrne, A Ettinger, S Goldin-Meadow, ... Proceedings of the 13th International Joint Conference on Natural Language …, 2023 | 1 | 2023 |
Word Segmentation as Unsupervised Constituency Parsing RG Alhama Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 1 | 2022 |
Rule learning in humans and animals RG Alhama, R Scha, W Zuidema Proceedings of the international conference on the evolution of language …, 2014 | 1 | 2014 |
Predict but Also Integrate: an Analysis of Sentence Processing Models for English and Hindi N Delcaro, L Onnis, R Alhama Proceedings of the Workshop on Cognitive Modeling and Computational …, 2024 | | 2024 |
Estimates for Age of Acquisition G Cassani, RG Alhama Elsevier, 2024 | | 2024 |
How does linguistic context influence word learning? RG Alhama, CF Rowland, K Evan Journal of Child Language 50 (6), 1374-1393, 2023 | | 2023 |
Preface: Computational Linguistics in the Netherlands Journal E Vanmassenhove, M De Sisto, RG Alhama, TO Lentz, J Engelen, ... Computational Linguistics in the Netherlands Journal 12, 3-5, 2022 | | 2022 |