--- title: "Modern Hebrew — papers, page 3" description: "Modern Hebrew: 153 papers of the Elamur Research library · page 3 of 3 · 126–153, the most cited first." canonical: "https://research.elamur.ai/free/en/topics/modern-hebrew/page/3/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/topics/modern-hebrew/page/3/) [home](https://md.research.elamur.ai/free/en/) / [topics](https://md.research.elamur.ai/free/en/topics/) / [Modern Hebrew](https://md.research.elamur.ai/free/en/topics/modern-hebrew/) / page 3 # Modern Hebrew 153 papers · page 3 of 3 · 126–153 · the most cited first · [all topics](https://md.research.elamur.ai/free/en/topics/) Today's Hebrew: segmenting its words, tagging and parsing them, its corpora and language models. [← prev](https://md.research.elamur.ai/free/en/topics/modern-hebrew/page/2/) [1](https://md.research.elamur.ai/free/en/topics/modern-hebrew/) [2](https://md.research.elamur.ai/free/en/topics/modern-hebrew/page/2/) **3** 126. [**HalleluBERT: Let Every Token That Has Meaning Bear Its Weight**Raphael Schmitt*2026*](https://md.research.elamur.ai/free/en/papers/schmitt-2026-hallelubert-let-every-token-that/) 127. [**HEBATRON: A Hebrew-Specialized Open-Weight Mixture-of-Experts Language Model**Noam Kayzer, Dan Revital, Ori Bar Joseph, et al.*2026*](https://md.research.elamur.ai/free/en/papers/kayzer-2026-hebatron-hebrew-specialized-open-weight/) 128. [**Human-AI Annotation Error Auditing for Hebrew Diacritization with Frontier LLMs**Hillel Gershuni, Avi Shmidman*2026*](https://md.research.elamur.ai/free/en/papers/gershuni-2026-human-ai-annotation-error-auditing/) 129. [**JudgeMeNot: Personalizing Large Language Models to Emulate Judicial Reasoning in Hebrew**Itay Razumenko, Arnon Sturm, Nir Grinberg*2026*](https://md.research.elamur.ai/free/en/papers/razumenko-2026-judgemenot-personalizing-large-language-models/) 130. [**Leveraging Digitized Newspapers to Collect Summarization Data in Low-Resource Languages**Noam Dahan, Omer Kidron, Gabriel Stanovsky*2026*](https://md.research.elamur.ai/free/en/papers/dahan-2026-leveraging-digitized-newspapers-collect-summarization/) 131. [**Modeling the Dalet Clitic in Historical Hebrew Texts: A New Prefix-Segmented BERT Model and Stylistic Analysis**Rachel Tal, Cheyn Shmuel Shmidman, Avi Shmidman*2026*](https://md.research.elamur.ai/free/en/papers/tal-2026-modeling-dalet-clitic-historical-hebrew/) 132. [**ReNikud: Audio-Supervised Hebrew Grapheme-to-Phoneme Conversion**Maxim Melichov, Yakov Kolani, Morris Alper*2026*](https://md.research.elamur.ai/free/en/papers/melichov-2026-renikud-audio-supervised-hebrew-grapheme/) 133. [**Subject to change: Agreement and case**Nofar Rimon, Tal Siloni*2026*](https://md.research.elamur.ai/free/en/papers/rimon-2026-subject-change-agreement-case/) 134. [**Trustworthy NLP for Low-Resource Languages: Agent-Based Uncertainty Modeling for Hebrew Radiology Report Structuring**Hadas Ben Atya, Naama Gavrielov, Zvi Badash, et al.*2026*](https://md.research.elamur.ai/free/en/papers/atya-2026-trustworthy-nlp-low-resource-languages/) 135. [**When Similar Means Different: Evaluating LLMs on Arabic–Hebrew Cognates**Junhong Liang, Noor Abo Mokh, Bashar Alhafni*2026*](https://md.research.elamur.ai/free/en/papers/liang-2026-similar-means-different-evaluating-llms/) 136. [**Building Patient Journeys in Hebrew: A Language Model for Clinical Timeline Extraction**Kai Golan Hashiloni, Brenda Kasabe Nokai, Michal Shevach, et al.*2025*](https://md.research.elamur.ai/free/en/papers/hashiloni-2025-building-patient-journeys-hebrew-language/) 137. [**Decomposability and the syntactic flexibility of Hebrew idioms**Tom Dolev, Tal Siloni*2025*](https://md.research.elamur.ai/free/en/papers/dolev-2025-decomposability-syntactic-flexibility-hebrew-idioms/) 138. [**Hierarchical Section Matching Prediction (HSMP) BERT for Fine-Grained Extraction of Structured Data from Hebrew Free-Text Radiology Reports in Crohn's Disease**Zvi Badash; Hadas Ben-Atya; Naama Gavrielov; Liam Hazan; Gili Focht; Ruth Cytter-Kuint; Talar Hagopian; Dan Turner;, Moti Freiman*2025*](https://md.research.elamur.ai/free/en/papers/badash-2025-hierarchical-section-matching-prediction-hsmp/) 139. [**Irony Detection in Hebrew Documents: A Novel Dataset and an Evaluation of Neural Classification Methods**Avi Shmidman, Elda Weizman, Avishay Gerczuk*2025*](https://md.research.elamur.ai/free/en/papers/shmidman-2025-irony-detection-hebrew-documents-novel/) 140. [**NeoDictaBERT: Pushing the Frontier of BERT models for Hebrew**Shaltiel Shmidman, Avi Shmidman, Moshe Koppel*2025*](https://md.research.elamur.ai/free/en/papers/shmidman-2025-neodictabert-pushing-frontier-bert-models/) 141. [**HeSum: a Novel Dataset for Abstractive Text Summarization in Hebrew**Itai Mondshine, Tzuf Paz-Argaman, Asaf Achi Mordechai, et al.*2024*](https://md.research.elamur.ai/free/en/papers/mondshine-2024-hesum-novel-dataset-abstractive-text/) 142. [**Mevaker: Conclusion Extraction and Allocation Resources for the Hebrew Language**Vitaly Shalumov, Harel Haskey, Yuval Solaz*2024*](https://md.research.elamur.ai/free/en/papers/shalumov-2024-mevaker-conclusion-extraction-allocation-resources/) 143. [**OtoBERT: Identifying Suffixed Verbal Forms in Modern Hebrew Literature**Avi Shmidman, Shaltiel Shmidman*2024*](https://md.research.elamur.ai/free/en/papers/shmidman-2024-otobert-identifying-suffixed-verbal-forms/) 144. [**The Truth, The Whole Truth, and Nothing but the Truth: A New Benchmark Dataset for Hebrew Text Credibility Assessment**Ben Hagag, Reut Tsarfaty*2023*](https://md.research.elamur.ai/free/en/papers/hagag-2023-truth-whole-truth-nothing-but/) 145. [**Style transfer and classification in hebrew news items**Nir Weingarten*2022*](https://md.research.elamur.ai/free/en/papers/weingarten-2022-style-transfer-classification-hebrew-news/) 146. [**In Search of Ovidian Hebrew: A Philological Study of a Lesser Known Modern Hebrew Translation of Ovid’s Metamorphoses**Martin Borýsek*2021*](https://md.research.elamur.ai/free/en/papers/borysek-2022-search-ovidian-hebrew-philological-study/) 147. [**Multiword expressions as discourse markers in Hebrew and Lithuanian**Giedre Valunaite Oleskeviciene, Chaya Liebeskind*2021*](https://md.research.elamur.ai/free/en/papers/oleskeviciene-2021-multiword-expressions-as-discourse-markers/) 148. [**NLP in the DH pipeline: Transfer-learning to a Chronolect**Aynat Rubinstein, Avi Shmidman*2021*](https://md.research.elamur.ai/free/en/papers/rubinstein-2021-nlp-dh-pipeline-transfer-learning/) 149. [**Building a Hebrew Semantic Role Labeling Lexical Resource from Parallel Movie Subtitles**Ben Eyal, Michael Elhadad*2020*](https://md.research.elamur.ai/free/en/papers/eyal-2020-building-hebrew-semantic-role-labeling/) 150. [**Language Classification and Segmentation of Noisy Documents in Hebrew Scripts**Alex Zhicharevich, Nachum Dershowitz*2012*](https://md.research.elamur.ai/free/en/papers/zhicharevich-2012-language-classification-segmentation-noisy-documents/) 151. [**Extraposition in Modern Hebrew**Tali Bar*2004*](https://md.research.elamur.ai/free/en/papers/bar-2026-extraposition-modern-hebrew/) 152. [**Creation of Spoken Hebrew Databases**Tami Rannon, Ofra Golani, Anat Goren, et al.*2000*](https://md.research.elamur.ai/free/en/papers/rannon-2000-creation-spoken-hebrew-databases/) 153. [**Innovation and neologism in modern Hebrew**Yig'al Yannai*1982*](https://md.research.elamur.ai/free/en/papers/yannai-1982-innovation-neologism-modern-hebrew/) [← prev](https://md.research.elamur.ai/free/en/topics/modern-hebrew/page/2/) [1](https://md.research.elamur.ai/free/en/topics/modern-hebrew/) [2](https://md.research.elamur.ai/free/en/topics/modern-hebrew/page/2/) **3**