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# Who cites «Introducing BEREL: BERT Embeddings for Rabbinic-Encoded Language»

8 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/hbo-2022-shmidman-introducing-berel-bert-embeddings-rabbinic/)

1. [BEReshiT: an Ancient Hebrew Model based on DictaBERT](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2026-stoupak-bereshit-ancient-hebrew-model-based/) *— our card · 2026 · Proceedings of the Fourth Workshop on Language Technologies for Historical and Ancient Languages (LT4HALA 2026) @ LREC 2026*
2. [MiqraBERT: Regression-Based Sentence-BERT Finetuning for Biblical Hebrew Parallel Detection](https://md.mova.elamur.ai/free/en/docs/papers/hbo-2026-smiley-miqrabert-regression-based-sentence-bert/) *— our card · 2026 · arXiv:2606.19638*
3. [Modeling the ``Dalet'''' Clitic in Historical Hebrew Texts: A New Prefix-Segmented BERT Model and Stylistic Analysis](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2026-tal-modeling-dalet-clitic-historical-hebrew/) *— our card · 2026 · Proceedings of the 6th International Conference on Natural Language Processing for the Digital Humanities*
4. [An Information-Theoretic Approach to Identifying Formulaic Clusters in Textual Data](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2025-yoffe-information-theoretic-approach-identifying-formulaic/) *— our card · 2025*
5. [Systematic Textual Availability of Manuscripts](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2025-miller-systematic-textual-availability-manuscripts/) *— our card · 2025*
6. [A Dataset for Metaphor Detection in Early Medieval Hebrew Poetry](https://md.mova.elamur.ai/free/en/docs/papers/eacl-2024-toker-dataset-metaphor-detection-early-medieval/) *— our card · 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers)*
7. [MsBERT: A New Model for the Reconstruction of Lacunae in Hebrew Manuscripts](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2024-shmidman-msbert-new-model-reconstruction-lacunae/) *— our card · 2024 · Proceedings of the 1st Workshop on Machine Learning for Ancient Languages (ML4AL 2024)*
8. yoffe-2023-statistical-exploration-text-partition-into
- [← previous Who cites «Large Pre-Trained Models with Extra-Large Vocabularies: A Contrastive Analysis of Hebrew BERT Models and a New One to Outperform Them All»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/hbo-2022-gueta-large-pre-trained-models-extra/)
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