---
title: "Who cites Recurrent Neural Networks in — 50 citing papers"
description: "50 papers of the Elamur Research library cite «Recurrent Neural Networks in Linguistic Theory: Revisiting Pinker and Prince (1988) and the…"
canonical: "https://research.elamur.ai/free/en/papers/kirov-2018-recurrent-neural-networks-linguistic-theory/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Recurrent Neural Networks in Linguistic Theory…](https://md.research.elamur.ai/free/en/papers/kirov-2018-recurrent-neural-networks-linguistic-theory/) / cited by

# 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»](https://md.research.elamur.ai/free/en/papers/kirov-2018-recurrent-neural-networks-linguistic-theory/)

1. [**Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models arXiv:2206.04615 · Transactions on Machine Learning Research, May/2022, https://openreview.net/forum?id=uyTL5Bvosj**Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, et al.*2022 · 1,703 citations*](https://md.research.elamur.ai/free/en/papers/srivastava-2022-imitation-game-quantifying-extrapolating-capabilities/)
2. **[Understanding Learning Dynamics Of Language Models with SVCCA](https://md.research.elamur.ai/free/en/papers/saphra-2019-understanding-learning-dynamics-language-models/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Naomi Saphra, Adam Lopez*2019 · 104 citations*
3. [**Counting the Bugs in ChatGPT's Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language Model**Leonie Weissweiler, Valentin Hofmann, Anjali Kantharuban*2023 · 47 citations*](https://md.research.elamur.ai/free/en/papers/weissweiler-2023-chatgpt-wugs-morphology/)
4. [**Are we there yet? Encoder-decoder neural networks as cognitive models of English past tense inflection**Maria Corkery, Yevgen Matusevych, Sharon Goldwater*2019 · 22 citations*](https://md.research.elamur.ai/free/en/papers/corkery-2019-are-we-there-yet-encoder/)
5. **[IPA CHILDES & G2P+: Feature-Rich Resources for Cross-Lingual Phonology and Phonemic Language Modeling](https://md.research.elamur.ai/free/en/papers/goriely-2025-ipa-childes-g2p-feature-rich/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Zébulon Goriely, Paula Buttery*2025 · 6 citations*
6. [**How do we get there? Evaluating transformer neural networks as cognitive models for English past tense inflection**Xiaomeng Ma, Lingyu Gao*2022 · 2 citations*](https://md.research.elamur.ai/free/en/papers/ma-2022-how-do-we-get-there/)
7. **[How much capacity does Turkish inflection require? An empirical study of GRU encoder–decoder bottlenecks.](https://md.research.elamur.ai/free/en/papers/mailhot-2026-how-much-capacity-does-turkish/) [Society for Computation in Linguistics (SCiL)](https://md.research.elamur.ai/free/en/venues/scil/)**Fred Mailhot*2026*
8. [**Slaapte or Sliep? Extending Neural-Network Simulations of English Past Tense Learning to Dutch and German**Xiulin Yang, Jingyan Chen, Arjan van Eerden, et al.*2023*](https://md.research.elamur.ai/free/en/papers/yang-2023-slaapte-or-sliep-extending-neural/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/kirov-2018-recurrent-neural-networks-linguistic-theory/) — Recurrent Neural Networks in Linguistic Theory: Revisiting Pinker and Prince (1988) and the Past Tense Debate