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# Who cites «Embible: Reconstruction of Ancient Hebrew and Aramaic Texts Using Transformers»

3 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/aclbulk-2024-fono-embible-reconstruction-ancient-hebrew-aramaic/)

1. [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*
2. [Detecting Narrative Patterns in Biblical Hebrew and Greek](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2024-mcgovern-detecting-narrative-patterns-biblical-hebrew/) *— our card · 2024 · Proceedings of the 1st Workshop on Machine Learning for Ancient Languages (ML4AL 2024)*
3. [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)*
- [← previous Who cites «Transformer-based Hebrew NLP models for Short Answer Scoring in Biology»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2023-schleifer-transformer-based-hebrew-nlp-models/)
- [next → Who cites «Morphological Synthesizer for Ge'ez Language: Addressing Morphological Complexity and Resource Limitations»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2024-gidey-morphological-synthesizer-ge-ez-language/)
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