---
title: "Who cites Morphological Inflection: A Reality Check"
description: "The papers of the Elamur Research library that cite «Morphological Inflection: A Reality Check», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/lex-2023-kodner-inflection-reality-check/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Morphological Inflection: A Reality Check](https://md.research.elamur.ai/free/en/papers/lex-2023-kodner-inflection-reality-check/) / cited by

# Who cites «Morphological Inflection: A Reality Check»

14 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/lex-2023-kodner-inflection-reality-check/)

1. [Character-aware Transformers Learn an Irregular Morphological Pattern Yet None Generalize Like Humans](https://aclanthology.org/2026.cmcl-1.7/) *— 2026 · Proceedings of the 15th Workshop on Cognitive Modeling and Computational Linguistics*
2. [Modular Approach to Automating Morphological Components in Grammar Engineering](https://aclanthology.org/2026.lrec-1.898/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
3. [Beyond statistical significance: Quantifying uncertainty and statistical variability in multilingual and multitask NLP evaluation](https://aclanthology.org/2025.ijcnlp-long.125/) *— 2025 · Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics*
4. [Extracting Linguistic Information from Large Language Models: Syntactic Relations and Derivational Knowledge](https://aclanthology.org/2025.emnlp-main.1384/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
5. [Frequency matters: Modeling irregular morphological patterns in Spanish with Transformers](https://aclanthology.org/2025.findings-acl.230/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
6. [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*
7. [Probing Subphonemes in Morphology Models](https://aclanthology.org/2025.findings-acl.672/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
8. [Getting The Most Out of Your Training Data: Exploring Unsupervised Tasks for Morphological Inflection](https://aclanthology.org/2024.emnlp-main.1055/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
9. [LLMs' morphological analyses of complex FST-generated Finnish words](https://arxiv.org/abs/2407.08269) *— 2024 · arXiv:2407.08269*
10. [Recent advancements in computational morphology : A comprehensive survey](https://arxiv.org/abs/2406.05424) *— 2024 · arXiv:2406.05424*
11. [The Effect of Data Partitioning Strategy on Model Generalizability: A Case Study of Morphological Segmentation](https://aclanthology.org/2024.naacl-long.157/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
12. [A Framework for Bidirectional Decoding: Case Study in Morphological Inflection](https://aclanthology.org/2023.findings-emnlp.297/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
13. [Exploring Linguistic Probes for Morphological Generalization](https://aclanthology.org/2023.emnlp-main.552/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
14. [Understanding Compositional Data Augmentation in Typologically Diverse Morphological Inflection](https://aclanthology.org/2023.emnlp-main.19/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*