[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/docs/papers/cited-by/deutsch-2018-distributional-orthographic-aggregation-model-english/)

[home](https://md.mova.elamur.ai/free/en/) / [docs](https://md.mova.elamur.ai/free/en/docs/) / [papers](https://md.mova.elamur.ai/free/en/docs/papers/) / [cited-by](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/) / Who cites «A Distributional and Orthographic Aggregation Model for English Derivational Morphology»

# 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.mova.elamur.ai/free/en/docs/papers/deutsch-2018-distributional-orthographic-aggregation-model-english/)

1. [Counting the Bugs in ChatGPT''s Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language Model](https://md.mova.elamur.ai/free/en/docs/papers/lex-2023-weissweiler-chatgpt-wugs-morphology/) *— our card · 2023 · EMNLP 2023 (Singapore)*
2. [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)*
3. [Superbizarre Is Not Superb: Derivational Morphology Improves BERT''s Interpretation of Complex Words](https://md.mova.elamur.ai/free/en/docs/papers/lex-2021-hofmann-superbizarre-derivational/) *— our card · 2021 · ACL-IJCNLP 2021 (online)*
4. [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*
5. [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)*
6. baxi-2024-recent-advancements-computational-morphology-comprehensive
7. haley-2024-corpus-based-measures-discriminate-inflection
- [← previous Who cites «Translation Divergences in Chinese–English Machine Translation: An Empirical Investigation»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/deng-2017-translation-divergences-chinese-english-machine/)
- [next → Who cites «Correcting Dependency Annotation Errors»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/dickinson-2009-correcting-dependency-annotation-errors/)
- [↑ back to papers/cited-by/](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/)