---
title: "Who cites A Distributional and Orthographic Aggregation…"
description: "The papers of the Elamur Research library that cite «A Distributional and Orthographic Aggregation Model for English Derivational Morphology», found in…"
canonical: "https://research.elamur.ai/free/en/papers/deutsch-2018-distributional-orthographic-aggregation-model-english/cited-by/"
---
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# Who cites «A Distributional and Orthographic Aggregation Model for English Derivational Morphology»

7 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/deutsch-2018-distributional-orthographic-aggregation-model-english/)

1. [Corpus-based measures discriminate inflection and derivation cross-linguistically](https://jlm.ipipan.waw.pl/index.php/JLM/article/view/351) *— 2024 · Journal of Language Modelling*
2. [Recent advancements in computational morphology : A comprehensive survey](https://arxiv.org/abs/2406.05424) *— 2024 · arXiv:2406.05424*
3. [Counting the Bugs in ChatGPT”s Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language Model](https://md.research.elamur.ai/free/en/papers/lex-2023-weissweiler-chatgpt-wugs-morphology/) *— our card · 2023 · EMNLP 2023 (Singapore)*
4. [An Embarrassingly Simple Method to Mitigate Undesirable Properties of Pretrained Language Model Tokenizers](https://aclanthology.org/2022.acl-short.43/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
5. [Superbizarre Is Not Superb: Derivational Morphology Improves BERT”s Interpretation of Complex Words](https://md.research.elamur.ai/free/en/papers/lex-2021-hofmann-superbizarre-derivational/) *— our card · 2021 · ACL-IJCNLP 2021 (online)*
6. [A Graph Auto-encoder Model of Derivational Morphology](https://aclanthology.org/2020.acl-main.106/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
7. [DagoBERT: Generating Derivational Morphology with a Pretrained Language Model](https://aclanthology.org/2020.emnlp-main.316/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*