---
title: "Who cites MacBERTh: Development and Evaluation of a…"
description: "The papers of the Elamur Research library that cite «MacBERTh: Development and Evaluation of a Historically Pre-trained Language Model for English…"
canonical: "https://research.elamur.ai/free/en/papers/arevalo-2021-macberth-development-evaluation-historically-pre/cited-by/"
---
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# Who cites «MacBERTh: Development and Evaluation of a Historically Pre-trained Language Model for English (1450-1950)»

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

1. [Language Models as Measurement Apparatus for Culture](https://aclanthology.org/2026.bigpicture-main.11/) *— 2026 · Proceedings of The Big Picture v2: Crafting a Research Narrative*
2. [Losing My Composure: Predicting Compositionality Over Time](https://arxiv.org/abs/2607.11667) *— 2026 · arXiv:2607.11667*
3. [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)*
4. [Prompting Across Time: Evaluating LLMs on Historical and Contemporary Offensive Language](https://aclanthology.org/2026.findings-acl.1665/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
5. [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*
6. [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*
7. [Don't stop pretraining! Efficiently building specialised language models in resource-constrained settings.](https://aclanthology.org/2025.latechclfl-1.22/) *— 2025 · Proceedings of the 9th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL 2025)*
8. [Enhancing Low-Resource Text Classification with LLM-Generated Corpora : A Case Study on Olfactory Reference Extraction](https://aclanthology.org/2025.ijcnlp-long.161/) *— 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*
9. [HoloBERT: Pre-Trained Transformer Model for Historical Narratives](https://aclanthology.org/2025.ranlp-1.12/) *— 2025 · Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing - Natural Language Processing in the Generative AI Era*
10. [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*
11. [The InviTE Corpus: Annotating Invectives in Tudor English Texts for Computational Modeling](https://arxiv.org/abs/2509.22345) *— 2025 · arXiv:2509.22345*
12. [Benchmarking the Semantics of Taste: Towards the Automatic Extraction of Gustatory Language](https://aclanthology.org/2024.clicit-1.78/) *— 2024 · Proceedings of the Tenth Italian Conference on Computational Linguistics (CLiC-it 2024)*
13. [Comparative Analysis of Static and Contextual Embeddings for Analyzing Semantic Changes in Medieval Latin Charters](https://arxiv.org/abs/2410.09283) *— 2024 · arXiv:2410.09283*
14. [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)*
15. [Exploring Aspect-Based Sentiment Analysis Methodologies for Literary-Historical Research Purposes](https://aclanthology.org/2024.lt4hala-1.16/) *— 2024 · Proceedings of the Third Workshop on Language Technologies for Historical and Ancient Languages (LT4HALA) @ LREC-COLING-2024*
16. [Immortal cows of Nouvelle France - Reflections around four variations on modern digital humanities techniques for Zooarcheology](https://aclanthology.org/2024.paclic-1.76/) *— 2024 · Proceedings of the 38th Pacific Asia Conference on Language, Information and Computation*
17. [SENSE-LM : A Synergy between a Language Model and Sensorimotor Representations for Auditory and Olfactory Information Extraction](https://aclanthology.org/2024.findings-eacl.119/) *— 2024 · Findings of the Association for Computational Linguistics: EACL 2024*
18. [A Massive Scale Semantic Similarity Dataset of Historical English](https://md.research.elamur.ai/free/en/papers/silcock-2023-massive-scale-semantic-similarity-dataset/) *— our card · 2023 · arXiv:2306.17810*
19. [ALBERTI, a Multilingual Domain Specific Language Model for Poetry Analysis](https://arxiv.org/abs/2307.01387) *— 2023 · arXiv:2307.01387*
20. [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*
21. [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*
22. [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*
23. [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*