---
title: "Who cites Are we there yet? Encoder-decoder neural…"
description: "The papers of the Elamur Research library that cite «Are we there yet? Encoder-decoder neural networks as cognitive models of English past tense…"
canonical: "https://research.elamur.ai/free/en/papers/corkery-2019-are-we-there-yet-encoder/cited-by/"
---
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# Who cites «Are we there yet? Encoder-decoder neural networks as cognitive models of English past tense inflection»

20 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.research.elamur.ai/free/en/papers/corkery-2019-are-we-there-yet-encoder/)

1. [How much capacity does Turkish inflection require? An empirical study of GRU encoder–decoder bottlenecks.](https://aclanthology.org/2026.scil-main.39/) *— 2026 · Proceedings of the Society for Computation in Linguistics 2026*
2. [Lemmas Matter, But Not Like That: Predictors of Lemma-Based Generalization in Morphological Inflection](https://aclanthology.org/2025.findings-acl.1296/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
3. [Probing Neural Network Generalization using Default Patterns](https://aclanthology.org/2025.sigmorphon-main.4/) *— 2025 · Proceedings of the 22nd SIGMORPHON workshop on Computational Morphology, Phonology, and Phonetics*
4. [LLMs' morphological analyses of complex FST-generated Finnish words](https://arxiv.org/abs/2407.08269) *— 2024 · arXiv:2407.08269*
5. [Learning Bidirectional Morphological Inflection like Humans](https://aclanthology.org/2024.lrec-main.895/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
6. [Modeling Overregularization in Children with Small Language Models](https://aclanthology.org/2024.findings-acl.865/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
7. [小規模言語モデルによる子供の過剰一般化のモデリング](https://www.anlp.jp/proceedings/annual_meeting/2024/#E9-1) *— 2024 · 言語処理学会 第30回年次大会 発表論文集 (NLP2024)*
8. [A Comprehensive Comparison of Neural Networks as Cognitive Models of Inflection](https://aclanthology.org/2022.emnlp-main.126/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
9. [How do we get there? Evaluating transformer neural networks as cognitive models for English past tense inflection](https://md.research.elamur.ai/free/en/papers/ma-2022-how-do-we-get-there/) *— our card · 2022 · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
10. [Learning Stress Patterns with a Sequence-to-Sequence Neural Network](https://aclanthology.org/2022.scil-1.9/) *— 2022 · Proceedings of the Society for Computation in Linguistics 2022*
11. [Learning reduplication with a neural network that lacks explicit variables](https://jlm.ipipan.waw.pl/index.php/JLM/article/view/274) *— 2022 · Journal of Language Modelling*
12. [Modeling human-like morphological prediction](https://aclanthology.org/2022.scil-1.11/) *— 2022 · Proceedings of the Society for Computation in Linguistics 2022*
13. [State-of-the-art generalisation research in NLP: A taxonomy and review](https://arxiv.org/abs/2210.03050) *— 2022 · arXiv:2210.03050 · Nat Mach Intell 5, 1161-1174 (2023)*
14. [Falling Through the Gaps: Neural Architectures as Models of Morphological Rule Learning](https://arxiv.org/abs/2105.03710) *— 2021 · arXiv:2105.03710*
15. [Generalising to German Plural Noun Classes, from the Perspective of a Recurrent Neural Network](https://aclanthology.org/2021.conll-1.8/) *— 2021 · Proceedings of the 25th Conference on Computational Natural Language Learning*
16. [Not Quite There Yet: Combining Analogical Patterns and Encoder-Decoder Networks for Cognitively Plausible Inflection](https://aclanthology.org/2021.sigmorphon-1.28/) *— 2021 · Proceedings of the 18th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology*
17. [Conditioning, but on Which Distribution? Grammatical Gender in German Plural Inflection](https://aclanthology.org/2020.cmcl-1.8/) *— 2020 · Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics*
18. [Inflecting When There”s No Majority: Limitations of Encoder-Decoder Neural Networks as Cognitive Models for German Plurals](https://aclanthology.org/2020.acl-main.159/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
19. [The Paradigm Discovery Problem](https://aclanthology.org/2020.acl-main.695/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
20. [Weird Inflects but OK: Making Sense of Morphological Generation Errors](https://aclanthology.org/K19-1014/) *— 2019 · Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)*