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# Who cites «MacBERTh: Development and Evaluation of a Historically Pre-trained Language Model for English (1450-1950)»

22 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/arevalo-2021-macberth-development-evaluation-historically-pre/)

1. [PortOldBERT: Portuguese Historical Language Models](https://aclanthology.org/2026.eacl-long.123/) *— 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
2. [Smelling the Past: Investigating Historical Models for Olfactory Event Extraction](https://aclanthology.org/2026.lt4hala-1.40/) *— 2026 · Proceedings of the Fourth Workshop on Language Technologies for Historical and Ancient Languages (LT4HALA 2026) @ LREC 2026*
3. [A Comparative Study of Static and Contextual Embeddings for Analyzing Semantic Changes in Medieval Latin Charters](https://aclanthology.org/2025.loreslm-1.14/) *— 2025 · Proceedings of the First Workshop on Language Models for Low-Resource Languages*
4. [Language Models Lack Temporal Generalization and Bigger is Not Better](https://aclanthology.org/2025.findings-acl.1060/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
5. [The InviTE Corpus: Annotating Invectives in Tudor English Texts for Computational Modeling](https://arxiv.org/abs/2509.22345) *— 2025 · arXiv:2509.22345*
6. [Development and Evaluation of Pre-trained Language Models for Historical Danish and Norwegian Literary Texts](https://aclanthology.org/2024.lrec-main.431/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
7. [A Massive Scale Semantic Similarity Dataset of Historical English](https://md.mova.elamur.ai/free/en/docs/papers/silcock-2023-massive-scale-semantic-similarity-dataset/) *— our card · 2023 · arXiv:2306.17810*
8. [Towards Detecting Lexical Change of Hate Speech in Historical Data](https://aclanthology.org/2023.lchange-1.11/) *— 2023 · Proceedings of the 4th Workshop on Computational Approaches to Historical Language Change*
9. [A Multilingual Benchmark to Capture Olfactory Situations over Time](https://aclanthology.org/2022.lchange-1.1/) *— 2022 · Proceedings of the 3rd Workshop on Computational Approaches to Historical Language Change*
10. [BERToldo, the Historical BERT for Italian](https://aclanthology.org/2022.lt4hala-1.10/) *— 2022 · Proceedings of the Second Workshop on Language Technologies for Historical and Ancient Languages*
11. [Non-Parametric Word Sense Disambiguation for Historical Languages](https://aclanthology.org/2022.nlp4dh-1.16/) *— 2022 · Proceedings of the 2nd International Workshop on Natural Language Processing for Digital Humanities*
12. anuradha-2025-holobert-pre-trained-transformer-model
13. boscher-2024-sense-lm-synergy-between-language
14. boscher-2025-enhancing-low-resource-text-classification
15. chang-2026-language-models-as-measurement-apparatus
16. dejaeghere-2024-exploring-aspect-based-sentiment-analysis
17. delsol-2024-immortal-cows-nouvelle-france-reflections
18. hoeken-2026-prompting-across-time-evaluating-llms
19. jenkins-2026-losing-my-composure-predicting-compositionality
20. meyer-2025-don-t-stop-pretraining-efficiently
21. paccosi-2024-benchmarking-semantics-taste-automatic-extraction
22. rosa-2023-alberti-multilingual-domain-specific-language
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