🔗 Who cites «Recurrent Neural Networks in Linguistic Theory: Revisiting Pinker and Prince (1988) and the Past Tense Debate»

50 papers of our library cite it (of the 141,840 whose bibliographies we read) · 8 with a page here, the most cited first · ← back to «Recurrent Neural Networks in Linguistic Theory: Revisiting Pinker and Prince (1988) and the Past Tense Debate»

1. Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language modelsarXiv:2206.04615 · Transactions on Machine Learning Research, May/2022, https://openreview.net/forum?id=uyTL5BvosjAarohi Srivastava, Abhinav Rastogi, Abhishek Rao, et al.2022 · 1,703 citations
2. Understanding Learning Dynamics Of Language Models with SVCCAConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Naomi Saphra, Adam Lopez2019 · 104 citations
3. Counting the Bugs in ChatGPT's Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language ModelLeonie Weissweiler, Valentin Hofmann, Anjali Kantharuban2023 · 47 citations
4. Are we there yet? Encoder-decoder neural networks as cognitive models of English past tense inflectionMaria Corkery, Yevgen Matusevych, Sharon Goldwater2019 · 22 citations
5. IPA CHILDES & G2P+: Feature-Rich Resources for Cross-Lingual Phonology and Phonemic Language ModelingConference on Computational Natural Language Learning (CoNLL)Zébulon Goriely, Paula Buttery2025 · 6 citations
6. How do we get there? Evaluating transformer neural networks as cognitive models for English past tense inflectionXiaomeng Ma, Lingyu Gao2022 · 2 citations
7. How much capacity does Turkish inflection require? An empirical study of GRU encoder–decoder bottlenecks.Society for Computation in Linguistics (SCiL)Fred Mailhot2026
8. Slaapte or Sliep? Extending Neural-Network Simulations of English Past Tense Learning to Dutch and GermanXiulin Yang, Jingyan Chen, Arjan van Eerden, et al.2023

42 more papers of our library cite it; they have no page here yet.

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