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

1. How much capacity does Turkish inflection require? An empirical study of GRU encoder–decoder bottlenecks. — 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 — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
3. Probing Neural Network Generalization using Default Patterns — 2025 · Proceedings of the 22nd SIGMORPHON workshop on Computational Morphology, Phonology, and Phonetics
4. LLMs' morphological analyses of complex FST-generated Finnish words — 2024 · arXiv:2407.08269
5. Learning Bidirectional Morphological Inflection like Humans — 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 — 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 — 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 — 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 — 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 — 2022 · Proceedings of the Society for Computation in Linguistics 2022
11. Learning reduplication with a neural network that lacks explicit variables — 2022 · Journal of Language Modelling
12. Modeling human-like morphological prediction — 2022 · Proceedings of the Society for Computation in Linguistics 2022
13. State-of-the-art generalisation research in NLP: A taxonomy and review — 2022 · arXiv:2210.03050 · Nat Mach Intell 5, 1161-1174 (2023)
14. Falling Through the Gaps: Neural Architectures as Models of Morphological Rule Learning — 2021 · arXiv:2105.03710
15. Generalising to German Plural Noun Classes, from the Perspective of a Recurrent Neural Network — 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 — 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 — 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 — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
19. The Paradigm Discovery Problem — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
20. Weird Inflects but OK: Making Sense of Morphological Generation Errors — 2019 · Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)