Who cites «Modeling English Past Tense Intuitions with Minimal Generalization»
- Derivational Morphology Reveals Analogical Generalization in Large Language Models — 2024 · arXiv:2411.07990
- Automating Sound Change Prediction for Phylogenetic Inference: A Tukanoan Case Study — 2023 · Proceedings of the 4th Workshop on Computational Approaches to Historical Language Change
- Counting the Bugs in ChatGPT''s Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language Model — our card · 2023 · EMNLP 2023 (Singapore)
- Linear Discriminative Learning: a competitive non-neural baseline for morphological inflection — 2023 · Proceedings of the 20th SIGMORPHON workshop on Computational Research in Phonetics, Phonology, and Morphology
- Approaching explanatory adequacy in phonology using Minimum Description Length — 2021 · Journal of Language Modelling
- Multiple alignments of inflectional paradigms — 2021 · Proceedings of the Society for Computation in Linguistics 2021
- Were We There Already? Applying Minimal Generalization to the SIGMORPHON-UniMorph Shared Task on Cognitively Plausible Morphological Inflection — 2021 · Proceedings of the 18th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology
- What transfers in morphological inflection? Experiments with analogical models — 2021 · Proceedings of the 18th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology
- Analogical classification in formal grammar — 2019 · monograph
- Recurrent Neural Networks in Linguistic Theory: Revisiting Pinker and Prince (1988) and the Past Tense Debate — 2018 · Transactions of the Association for Computational Linguistics
- Morphological Paradigms: Computational Structure and Unsupervised Learning — 2015 · Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop
- Rules, Analogy, and Social Factors Codetermine Past-tense Formation Patterns in English — 2014 · Proceedings of the 2014 Joint Meeting of SIGMORPHON and SIGFSM
- Much ado about nothing: A social network model of Russian paradigmatic gaps — 2007 · Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics
- ahyad-2020-vowel-unpredictability-hijazi-arabic-monosyllabic
- barke-2019-constraint-based-learning-phonological-processes
- beniamine-2017-une-approche-universelle-pour-l
- fukatsu-2024-learning-bidirectional-morphological-inflection-like
- markowska-2026-learning-k-isl-functions-phonological
- oseki-2019-inverting-modeling-morphological-inflection
- pertsova-2016-transderivational-relations-paradigm-gaps-russian
- shilen-2022-learning-input-strictly-local-functions
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