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# Who cites «MRL Parsing Without Tears: The Case of Hebrew»

7 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/findings-2024-shmidman-mrl-parsing-without-tears-case/)

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. [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*
3. [NeoDictaBERT: Pushing the Frontier of BERT models for Hebrew](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2025-shmidman-neodictabert-pushing-frontier-bert-models/) *— our card · 2025 · arXiv:2510.20386*
4. [Restoring Missing Spaces in Scraped Hebrew Social Media](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2025-shmidman-restoring-missing-spaces-scraped-hebrew/) *— our card · 2025*
5. [Splintering Nonconcatenative Languages for Better Tokenization](https://aclanthology.org/2025.findings-acl.1151/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
6. [Computational Methods for the Analysis of Complementizer Variability in Language and Literature: The Case of Hebrew ``she-'''' and ``ki](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2024-shmidman-computational-methods-analysis-complementizer-variability/) *— our card · 2024 · Proceedings of the 4th International Conference on Natural Language Processing for Digital Humanities*
7. [OtoBERT: Identifying Suffixed Verbal Forms in Modern Hebrew Literature](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2024-shmidman-otobert-identifying-suffixed-verbal-forms/) *— our card · 2024*
- [← previous Who cites «HeSum: a Novel Dataset for Abstractive Text Summarization in Hebrew»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/findings-2024-argaman-hesum-novel-dataset-abstractive-text/)
- [next → Who cites «HeBID: Detecting Social Identities in Hebrew-language Political Text»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/findings-2025-lan-hebid-detecting-social-identities-hebrew/)
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