[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/docs/papers/cited-by/dunn-2019-modeling-global-syntactic-variation-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 «Modeling Global Syntactic Variation in English Using Dialect Classification»

# Who cites «Modeling Global Syntactic Variation in English Using Dialect Classification»

12 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/dunn-2019-modeling-global-syntactic-variation-english/)

1. [The Indonesian Religiolect Corpus: Data Curation for Muslim, Protestant, and Catholic Language Varieties](https://aclanthology.org/2026.loreslm-1.36/) *— 2026 · Proceedings of the Second Workshop on Language Models for Low-Resource Languages (LoResLM 2026)*
2. [Exploring the Constructicon: Linguistic Analysis of a Computational CxG](https://arxiv.org/abs/2301.12642) *— 2023 · arXiv:2301.12642*
3. [Get to Know Your Parallel Data: Performing English Variety and Genre Classification over MaCoCu Corpora](https://aclanthology.org/2023.vardial-1.9/) *— 2023 · Tenth Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial 2023)*
4. [Variation and Instability in Dialect-Based Embedding Spaces](https://aclanthology.org/2023.vardial-1.7/) *— 2023 · Tenth Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial 2023)*
5. [Stability of Syntactic Dialect Classification over Space and Time](https://aclanthology.org/2022.coling-1.3/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
6. [Learned Construction Grammars Converge Across Registers Given Increased Exposure](https://aclanthology.org/2021.conll-1.21/) *— 2021 · Proceedings of the 25th Conference on Computational Natural Language Learning*
7. [Learning to Recognize Dialect Features](https://aclanthology.org/2021.naacl-main.184/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
8. [Representations of Language Varieties Are Reliable Given Corpus Similarity Measures](https://aclanthology.org/2021.vardial-1.4/) *— 2021 · Proceedings of the Eighth Workshop on NLP for Similar Languages, Varieties and Dialects*
9. [Geographically-Balanced Gigaword Corpora for 50 Language Varieties](https://aclanthology.org/2020.lrec-1.308/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
10. [Measuring Linguistic Diversity During COVID-19](https://aclanthology.org/2020.nlpcss-1.1/) *— 2020 · Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science*
11. dunn-2023-syntactic-variation-across-grammar-modelling
12. dunn-2024-validating-exploring-large-geographic-corpora
- [← previous Who cites «DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs» · page 6](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/dua-2019-drop-reading-comprehension-benchmark-requiring-6/)
- [next → Who cites «Finding Variants for Construction-Based Dialectometry: A Corpus-Based Approach to Regional CxGs»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/dunn-2021-finding-variants-construction-based-dialectometry/)
- [↑ back to papers/cited-by/](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/)