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# Who cites «Modeling English Past Tense Intuitions with Minimal Generalization»

21 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/albright-2002-modeling-english-past-tense-intuitions/)

1. [Derivational Morphology Reveals Analogical Generalization in Large Language Models](https://arxiv.org/abs/2411.07990) *— 2024 · arXiv:2411.07990*
2. [Automating Sound Change Prediction for Phylogenetic Inference: A Tukanoan Case Study](https://aclanthology.org/2023.lchange-1.14/) *— 2023 · Proceedings of the 4th Workshop on Computational Approaches to Historical Language Change*
3. [Counting the Bugs in ChatGPT''s Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language Model](https://md.mova.elamur.ai/free/en/docs/papers/lex-2023-weissweiler-chatgpt-wugs-morphology/) *— our card · 2023 · EMNLP 2023 (Singapore)*
4. [Linear Discriminative Learning: a competitive non-neural baseline for morphological inflection](https://aclanthology.org/2023.sigmorphon-1.16/) *— 2023 · Proceedings of the 20th SIGMORPHON workshop on Computational Research in Phonetics, Phonology, and Morphology*
5. [Approaching explanatory adequacy in phonology using Minimum Description Length](https://jlm.ipipan.waw.pl/index.php/JLM/article/view/266) *— 2021 · Journal of Language Modelling*
6. [Multiple alignments of inflectional paradigms](https://aclanthology.org/2021.scil-1.20/) *— 2021 · Proceedings of the Society for Computation in Linguistics 2021*
7. [Were We There Already? Applying Minimal Generalization to the SIGMORPHON-UniMorph Shared Task on Cognitively Plausible Morphological Inflection](https://aclanthology.org/2021.sigmorphon-1.29/) *— 2021 · Proceedings of the 18th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology*
8. [What transfers in morphological inflection? Experiments with analogical models](https://aclanthology.org/2021.sigmorphon-1.18/) *— 2021 · Proceedings of the 18th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology*
9. [Analogical classification in formal grammar](https://doi.org/10.5281/zenodo.3191825) *— 2019 · monograph*
10. [Recurrent Neural Networks in Linguistic Theory: Revisiting Pinker and Prince (1988) and the Past Tense Debate](https://aclanthology.org/Q18-1045/) *— 2018 · Transactions of the Association for Computational Linguistics*
11. [Morphological Paradigms: Computational Structure and Unsupervised Learning](https://aclanthology.org/N15-2022/) *— 2015 · Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop*
12. [Rules, Analogy, and Social Factors Codetermine Past-tense Formation Patterns in English](https://aclanthology.org/W14-2807/) *— 2014 · Proceedings of the 2014 Joint Meeting of SIGMORPHON and SIGFSM*
13. [Much ado about nothing: A social network model of Russian paradigmatic gaps](https://aclanthology.org/P07-1118/) *— 2007 · Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics*
14. ahyad-2020-vowel-unpredictability-hijazi-arabic-monosyllabic
15. barke-2019-constraint-based-learning-phonological-processes
16. beniamine-2017-une-approche-universelle-pour-l
17. fukatsu-2024-learning-bidirectional-morphological-inflection-like
18. markowska-2026-learning-k-isl-functions-phonological
19. oseki-2019-inverting-modeling-morphological-inflection
20. pertsova-2016-transderivational-relations-paradigm-gaps-russian
21. shilen-2022-learning-input-strictly-local-functions
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