---
title: "Modern Hebrew — papers, page 2"
description: "Modern Hebrew: 153 papers of the Elamur Research library · page 2 of 3 · 26–125, the most cited first."
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---
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# Modern Hebrew

153 papers · page 2 of 3 · 26–125 · 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.

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26. [**DictaBERT: A State-of-the-Art BERT Suite for Modern Hebrew**Shaltiel Shmidman, Avi Shmidman, Moshe Koppel*2023 · 22 citations*](https://md.research.elamur.ai/free/en/papers/shmidman-2023-dictabert-state-art-bert-suite/)
27. [**A Pointer Network Architecture for Joint Morphological Segmentation and Tagging**Amit Seker, Reut Tsarfaty*2020 · 21 citations*](https://md.research.elamur.ai/free/en/papers/seker-2020-pointer-network-architecture-joint-morphological/)
28. [**Modeling Morphosyntactic Agreement in Constituency-Based Parsing of Modern Hebrew**Reut Tsarfaty, Khalil Sima'an*2010 · 21 citations*](https://md.research.elamur.ai/free/en/papers/tsarfaty-2010-modeling-morphosyntactic-agreement-constituency-based/)
29. [**Multi-document multilingual summarization corpus preparation, Part 2: Czech, Hebrew and Spanish**Michael Elhadad, Sabino Miranda-Jiménez, Josef Steinberger, et al.*2013 · 20 citations*](https://md.research.elamur.ai/free/en/papers/elhadad-2013-multi-document-multilingual-summarization-corpus/)
30. [**Noun Phrase Chunking in Hebrew: Influence of Lexical and Morphological Features**Yoav Goldberg, Meni Adler, Michael Elhadad*2006 · 19 citations*](https://md.research.elamur.ai/free/en/papers/goldberg-2006-noun-phrase-chunking-hebrew-influence/)
31. [**A Comprehensive NLP System for Modern Standard Arabic and Modern Hebrew**Dror Kamir, Naama Soreq, Yoni Neeman*2002 · 19 citations*](https://md.research.elamur.ai/free/en/papers/kamir-2002-comprehensive-nlp-system-modern-standard/)
32. [**A Second Wave of UD Hebrew Treebanking and Cross-Domain Parsing**Amir Zeldes, Nick Howell, Noam Ordan, et al.*2022 · 18 citations*](https://md.research.elamur.ai/free/en/papers/zeldes-2022-second-wave-ud-hebrew-treebanking/)
33. [**Stages rather than ages in the acquisition of movement structures: Data from sentence repetition and 27,696 spontaneous clauses**Naama Friedmann, Julia Reznick*2021 · 18 citations*](https://md.research.elamur.ai/free/en/papers/friedmann-2021-stages-rather-than-ages-acquisition/)
34. [**Tagging a Hebrew Corpus: the Case of Participles**Meni Adler, Yael Netzer, Yoav Goldberg, et al.*2008 · 18 citations*](https://md.research.elamur.ai/free/en/papers/adler-2008-tagging-hebrew-corpus-case-participles/)
35. [**Hebrew nominals do not require functional structure above the NP**Benjamin Bruening*2022 · 17 citations*](https://md.research.elamur.ai/free/en/papers/bruening-2022-hebrew-nominals-do-not-require/)
36. [**The Hebrew FrameNet Project**Avi Hayoun, Michael Elhadad*2016 · 17 citations*](https://md.research.elamur.ai/free/en/papers/hayoun-2016-hebrew-framenet-project/)
37. [**Machine Translation between Hebrew and Arabic: Needs, Challenges and Preliminary Solutions**Reshef Shilon, Nizar Habash, Alon Lavie, et al.*2010 · 17 citations*](https://md.research.elamur.ai/free/en/papers/shilon-2010-machine-translation-between-hebrew-arabic/)
38. [**A Computational Lexicon of Contemporary Hebrew**Alon Itai, Shuly Wintner, Shlomo Yona*2006 · 17 citations*](https://md.research.elamur.ai/free/en/papers/itai-2006-computational-lexicon-contemporary-hebrew/)
39. [**Adapting LLMs to Hebrew: Unveiling DictaLM 2.0 with Enhanced Vocabulary and Instruction Capabilities**Shaltiel Shmidman, Avi Shmidman, Amir DN Cohen, et al.*2024 · 15 citations*](https://md.research.elamur.ai/free/en/papers/shmidman-2024-adapting-llms-hebrew-unveiling-dictalm/)
40. [**HeRo: RoBERTa and Longformer Hebrew Language Models**Vitaly Shalumov, Harel Haskey*2023 · 15 citations*](https://md.research.elamur.ai/free/en/papers/shalumov-2023-hero-roberta-longformer-hebrew-language/)
41. [**Hebrew Morphological Preprocessing for Statistical Machine Translation**Nimesh Singh, Nizar Habash*2012 · 15 citations*](https://md.research.elamur.ai/free/en/papers/singh-2012-hebrew-morphological-preprocessing-statistical-machine/)
42. [**Large-Scale Machine Translation between Arabic and Hebrew: Available Corpora and Initial Results**Yonatan Belinkov, James Glass*2016 · 14 citations*](https://md.research.elamur.ai/free/en/papers/belinkov-2016-large-scale-machine-translation-between/)
43. [**SVM Model Tampering and Anchored Learning: A Case Study in Hebrew NP Chunking**Yoav Goldberg, Michael Elhadad*2007 · 14 citations*](https://md.research.elamur.ai/free/en/papers/goldberg-2007-svm-model-tampering-anchored-learning/)
44. [**HeQ: a Large and Diverse Hebrew Reading Comprehension Benchmark**Amir DN Cohen, Hilla Merhav, Yoav Goldberg, et al.*2023 · 13 citations*](https://md.research.elamur.ai/free/en/papers/cohen-2023-heq-large-diverse-hebrew-reading/)
45. [**Toward a Period-Specific Optimized Neural Network for OCR Error Correction of Historical Hebrew Texts**Omri Suissa, Maayan Zhitomirsky-Geffet, Avshalom Elmalech*2023 · 13 citations*](https://md.research.elamur.ai/free/en/papers/suissa-2023-toward-period-specific-optimized-neural/)
46. [**An Arabic-Hebrew parallel corpus of TED talks**Mauro Cettolo*2016 · 13 citations*](https://md.research.elamur.ai/free/en/papers/cettolo-2016-arabic-hebrew-parallel-corpus-ted/)
47. [**ParaShoot: A Hebrew Question Answering Dataset**Omri Keren, Omer Levy*2021 · 12 citations*](https://md.research.elamur.ai/free/en/papers/keren-2021-parashoot-hebrew-question-answering-dataset/)
48. [**A corpus based morphological analyzer for unvocalized modern Hebrew**Alon Itai, Erel Segal*2003 · 12 citations*](https://md.research.elamur.ai/free/en/papers/itai-2003-corpus-based-morphological-analyzer-unvocalized/)
49. [**Offensive Hebrew Corpus and Detection using BERT**Nagham Hamad, Mustafa Jarrar, Mohammad Khalilia, et al.*2023 · 11 citations*](https://md.research.elamur.ai/free/en/papers/hamad-2023-offensive-hebrew-corpus-detection-using/)
50. [**Transformer-based Hebrew NLP models for Short Answer Scoring in Biology**Abigail Gurin Schleifer, Beata Beigman Klebanov, Moriah Ariely, et al.*2023 · 10 citations*](https://md.research.elamur.ai/free/en/papers/schleifer-2023-transformer-based-hebrew-nlp-models/)
51. [**Functional structure in the noun phrase: revisiting Hebrew nominals**Omer Preminger*2020 · 10 citations*](https://md.research.elamur.ai/free/en/papers/preminger-2020-functional-structure-noun-phrase-revisiting/)
52. [**Usage patterns in the development of Hebrew grammatical subjects**Elitzur Dattner, Liron Kertes, Racehli Zwilling, et al.*2019 · 10 citations*](https://md.research.elamur.ai/free/en/papers/dattner-2019-usage-patterns-development-hebrew-grammatical/)
53. [**Multilingual Sequence-to-Sequence Models for Hebrew NLP**Matan Eyal, Hila Noga, Roee Aharoni, et al.*2023 · 9 citations*](https://md.research.elamur.ai/free/en/papers/eyal-2023-multilingual-sequence-sequence-models-hebrew/)
54. [**Restoring Hebrew Diacritics Without a Dictionary**Elazar Gershuni, Yuval Pinter*2022 · 9 citations*](https://md.research.elamur.ai/free/en/papers/gershuni-2022-restoring-hebrew-diacritics-without-dictionary/)
55. [**Hebrew Psychological Lexicons**Natalie Shapira, Dana Atzil-Slonim, Daniel Juravski, et al.*2021 · 9 citations*](https://md.research.elamur.ai/free/en/papers/shapira-2021-hebrew-psychological-lexicons/)
56. [**Universal Morpho-Syntactic Parsing and the Contribution of Lexica: Analyzing the ONLP Lab Submission to the CoNLL 2018 Shared Task**Amit Seker, Amir More, Reut Tsarfaty*2018 · 9 citations*](https://md.research.elamur.ai/free/en/papers/seker-2018-universal-morpho-syntactic-parsing-contribution/)
57. [**Predicting Learner Levels for Online Exercises of Hebrew**Markus Dickinson, Sandra Kübler, Anthony Meyer*2012 · 9 citations*](https://md.research.elamur.ai/free/en/papers/dickinson-2012-predicting-learner-levels-online-exercises/)
58. [**Generating Determiners and Quantifiers in Hebrew**Yael Dahan Netzer, Michael Elhadad*1998 · 9 citations*](https://md.research.elamur.ai/free/en/papers/netzer-1998-generating-determiners-quantifiers-hebrew/)
59. [**A Truly Joint Neural Architecture for Segmentation and Parsing**Danit Yshaayahu Levi, Reut Tsarfaty*2024 · 7 citations*](https://md.research.elamur.ai/free/en/papers/levi-2024-truly-joint-neural-architecture-segmentation/)
60. [**HeSum: a Novel Dataset for Abstractive Text Summarization in Hebrew**Tzuf Paz-Argaman, Itai Mondshine, Asaf Achi Mordechai, et al.*2024 · 7 citations*](https://md.research.elamur.ai/free/en/papers/argaman-2024-hesum-novel-dataset-abstractive-text/)
61. [**Explicit Morphological Knowledge Improves Pre-training of Language Models for Hebrew**Eylon Gueta, Omer Goldman, Reut Tsarfaty*2023 · 7 citations*](https://md.research.elamur.ai/free/en/papers/gueta-2023-explicit-morphological-knowledge-improves-pre/)
62. [**Offensive language detection in Hebrew: can other languages help?**Marina Litvak, Natalia Vanetik, Chaya Liebeskind, et al.*2022 · 7 citations*](https://md.research.elamur.ai/free/en/papers/litvak-2022-offensive-language-detection-hebrew-can/)
63. [**Voice at the Interfaces: The Syntax, Semantics, and Morphology of the Hebrew Verb**Itamar Kastner*2020 · 7 citations*](https://md.research.elamur.ai/free/en/papers/kastner-2020-voice-at-interfaces-syntax/)
64. [**Exponence, allomorphy and haplology in the number and State morphology of Modern Hebrew**Noam Faust*2018 · 7 citations*](https://md.research.elamur.ai/free/en/papers/faust-2018-exponence-allomorphy-haplology-number-state/)
65. [**A Morphologically-Analyzed CHILDES Corpus of Hebrew**Bracha Nir, Brian MacWhinney, Shuly Wintner*2010 · 7 citations*](https://md.research.elamur.ai/free/en/papers/nir-2010-morphologically-analyzed-childes-corpus-hebrew/)
66. [**HebDB: a Weakly Supervised Dataset for Hebrew Speech Processing**Arnon Turetzky, Or Tal, Yael Segal-Feldman, et al.*2024 · 6 citations*](https://md.research.elamur.ai/free/en/papers/turetzky-2024-hebdb-weakly-supervised-dataset-hebrew/)
67. [**ivrit.ai: A Comprehensive Dataset of Hebrew Speech for AI Research and Development**Yanir Marmor, Kinneret Misgav, Yair Lifshitz*2023 · 6 citations*](https://md.research.elamur.ai/free/en/papers/marmor-2023-ivrit-ai-comprehensive-dataset-hebrew/)
68. [**Differential Object Marking in Modern Hebrew: Definiteness and partitivity**Aviya Hacohen, Olga Kagan, Dana Plaut*2021 · 6 citations*](https://md.research.elamur.ai/free/en/papers/hacohen-2021-differential-object-marking-modern-hebrew/)
69. [**Coming to Terms: Automatic Formation of Neologisms in Hebrew**Moran Mizrahi, Stav Yardeni Seelig, Dafna Shahaf*2020 · 6 citations*](https://md.research.elamur.ai/free/en/papers/mizrahi-2020-coming-terms-automatic-formation-neologisms/)
70. [**A Lexical Resource of Hebrew Verb-Noun Multi-Word Expressions**Chaya Liebeskind, Yaakov HaCohen-Kerner*2016 · 6 citations*](https://md.research.elamur.ai/free/en/papers/liebeskind-2016-lexical-resource-hebrew-verb-noun/)
71. [**Generation of Noun Compounds in Hebrew: Can Syntactic Knowledge Be Fully Encapsulated?**Yael Dahan Netzer, Michael Elhadad*1998 · 6 citations*](https://md.research.elamur.ai/free/en/papers/netzer-1998-generation-noun-compounds-hebrew-can/)
72. [**The Knesset Corpus: An Annotated Corpus of Hebrew Parliamentary Proceedings**Gili Goldin, Nick Howell, Noam Ordan, et al.*2024 · 5 citations*](https://md.research.elamur.ai/free/en/papers/goldin-2024-knesset-corpus-annotated-corpus-hebrew/)
73. [**Do Pretrained Contextual Language Models Distinguish between Hebrew Homograph Analyses?**Avi Shmidman, Cheyn Shmuel Shmidman, Dan Bareket, et al.*2023 · 5 citations*](https://md.research.elamur.ai/free/en/papers/shmidman-2023-do-pretrained-contextual-language-models/)
74. [**Towards multi-lingual summarization: A comparative analysis of sentence extraction methods on English and Hebrew corpora**Marina Litvak, Mark Last, Slava Kisilevich, et al.*2010 · 5 citations*](https://md.research.elamur.ai/free/en/papers/litvak-2010-multi-lingual-summarization-comparative-analysis/)
75. [**Towards a linguistically motivated computational grammar for Hebrew**Shuly Wintner*1998 · 5 citations*](https://md.research.elamur.ai/free/en/papers/wintner-1998-linguistically-motivated-computational-grammar-hebrew/)
76. [**HeGeL: A Novel Dataset for Geo-Location from Hebrew Text**Tzuf Paz-Argaman, Tal Bauman, Itai Mondshine, et al.*2023 · 4 citations*](https://md.research.elamur.ai/free/en/papers/argaman-2023-hegel-novel-dataset-geo-location/)
77. [**"Talk to me with left, right, and angles": Lexical entrainment in spoken Hebrew dialogue**Andreas Weise, Vered Silber-Varod, Anat Lerner, et al.*2021 · 4 citations*](https://md.research.elamur.ai/free/en/papers/weise-2021-talk-me-left-right-angles/)
78. [**A Morphologically Annotated Hebrew CHILDES Corpus**Aviad Albert, Brian MacWhinney, Bracha Nir, et al.*2012 · 4 citations*](https://md.research.elamur.ai/free/en/papers/albert-2012-morphologically-annotated-hebrew-childes-corpus/)
79. [**Unsupervised Concept Discovery In Hebrew Using Simple Unsupervised Word Prefix Segmentation for Hebrew and Arabic**Elad Dinur, Dmitry Davidov, Ari Rappoport*2009 · 4 citations*](https://md.research.elamur.ai/free/en/papers/dinur-2009-unsupervised-concept-discovery-hebrew-simple/)
80. [**Agent-Based Uncertainty Awareness Improves Automated Radiology Report Labeling with an Open-Source Large Language Model**Hadas Ben-Atya, Naama Gavrielov, Zvi Badash, et al.*2025 · 3 citations*](https://md.research.elamur.ai/free/en/papers/ben-atya-2025-agent-based-uncertainty-awareness-improves/)
81. [**Phonikud: Overcoming Phonetic Underspecification for Hebrew Text-To-Speech**Yakov Kolani, Maxim Melichov, Cobi Calev, et al.*2025 · 3 citations*](https://md.research.elamur.ai/free/en/papers/kolani-2025-phonikud-overcoming-phonetic-underspecification-hebrew/)
82. [**TafBERTa: Learning Grammatical Rules from Small-Scale Language Acquisition Data in Hebrew**Anita Gelboim, Elior Sulem*2025 · 3 citations*](https://md.research.elamur.ai/free/en/papers/gelboim-2025-tafberta-learning-grammatical-rules-small/)
83. [**A Language Modeling Approach to Diacritic-Free Hebrew TTS**Amit Roth, Arnon Turetzky, Yossi Adi*2024 · 3 citations*](https://md.research.elamur.ai/free/en/papers/roth-2024-language-modeling-approach-diacritic-free/)
84. [**A Language-agnostic Model of Child Language Acquisition**Louis Mahon, Omri Abend, Uri Berger, et al.*2024 · 3 citations*](https://md.research.elamur.ai/free/en/papers/mahon-2024-language-agnostic-model-child-language/)
85. [**IsraParlTweet: The Israeli Parliamentary and Twitter Resource**Guy Mor-Lan, Effi Levi, Tamir Sheafer, et al.*2024 · 3 citations*](https://md.research.elamur.ai/free/en/papers/lan-2024-israparltweet-israeli-parliamentary-twitter-resource/)
86. [**Optimizing the Neural Network Training for OCR Error Correction of Historical Hebrew Texts**Omri Suissa, Avshalom Elmalech, Maayan Zhitomirsky-Geffet*2023 · 3 citations*](https://md.research.elamur.ai/free/en/papers/suissa-2023-optimizing-neural-network-training-ocr/)
87. [**Approximation derived from a scalar exclusive particle associating with covert focus: The case of Hebrew be-sax ha-kol**Dina Orenstein, Yael Greenberg*2021 · 3 citations*](https://md.research.elamur.ai/free/en/papers/orenstein-2021-approximation-derived-scalar-exclusive-particle/)
88. [**Automated Extraction of Sentencing Decisions from Court Cases in the Hebrew Language**Mohr Wenger, Tom Kalir, Noga Berger, et al.*2021 · 3 citations*](https://md.research.elamur.ai/free/en/papers/wenger-2021-automated-extraction-sentencing-decisions-court/)
89. [**The head the construct: Construct state nominals as a novel window to syntactic movement difficulties in hearing impairment**Naama Friedmann, Ronit Szterman, Adriana Belletti, et al.*2018 · 3 citations*](https://md.research.elamur.ai/free/en/papers/friedmann-2018-head-construct-construct-state-nominals/)
90. [**A Morphological, Syntactic and Semantic Search Engine for Hebrew Texts**Uzzi Ornan*2002 · 3 citations*](https://md.research.elamur.ai/free/en/papers/ornan-2002-morphological-syntactic-semantic-search-engine/)
91. [**Dicta-LM 3.0: Advancing The Frontier of Hebrew Sovereign LLMs**Shaltiel Shmidman, Avi Shmidman, Amir DN Cohen, et al.*2026 · 2 citations*](https://md.research.elamur.ai/free/en/papers/shmidman-2026-dicta-lm-3-0-advancing/)
92. [**Modelling the Morphology of Verbal Paradigms: A Case Study in the Tokenization of Turkish and Hebrew**Giuseppe Samo, Paola Merlo*2026 · 2 citations*](https://md.research.elamur.ai/free/en/papers/samo-2026-modelling-morphology-verbal-paradigms-case/)
93. [**From Linguistics to Practice: a Case Study of Offensive Language Taxonomy in Hebrew**Chaya Liebeskind, Marina Litvak, Natalia Vanetik*2024 · 2 citations*](https://md.research.elamur.ai/free/en/papers/liebeskind-2024-linguistics-practice-case-study-offensive/)
94. [**Verbal strategies for expressing reciprocity – the case of Hebrew**Bar-Asher Siegal, Elitzur*2024 · 2 citations*](https://md.research.elamur.ai/free/en/papers/siegal-2024-verbal-strategies-expressing-reciprocity-case/)
95. [**Temporal Relation Classification in Hebrew**Guy Yanko, Shahaf Pariente, Kfir Bar*2023 · 2 citations*](https://md.research.elamur.ai/free/en/papers/yanko-2023-temporal-relation-classification-hebrew/)
96. [**Predicting the Proficiency Level of Nonnative Hebrew Authors**Isabelle Nguyen, Shuly Wintner*2022 · 2 citations*](https://md.research.elamur.ai/free/en/papers/nguyen-2022-predicting-proficiency-level-nonnative-hebrew/)
97. [**Cross-linguistically Consistent Semantic and Syntactic Annotation of Child-directed Speech**Ida Szubert, Omri Abend, Nathan Schneider, et al.*2021 · 2 citations*](https://md.research.elamur.ai/free/en/papers/szubert-2021-cross-linguistically-consistent-semantic-syntactic/)
98. [**Automatic Thesaurus Construction for Modern Hebrew**Chaya Liebeskind, Ido Dagan, Jonathan Schler*2018 · 2 citations*](https://md.research.elamur.ai/free/en/papers/liebeskind-2018-automatic-thesaurus-construction-modern-hebrew/)
99. [**Semantically Motivated Hebrew Verb-Noun Multi-Word Expressions Identification**Chaya Liebeskind, Yaakov HaCohen-Kerner*2016 · 2 citations*](https://md.research.elamur.ai/free/en/papers/liebeskind-2016-semantically-motivated-hebrew-verb-noun/)
100. [**Corpus-based Explorations of Affective Load Differences in Arabic-Hebrew-English**Carlo Strapparava, Oliviero Stock, Ilai Alon*2012 · 2 citations*](https://md.research.elamur.ai/free/en/papers/strapparava-2012-corpus-based-explorations-affective-load/)
101. [**Hebrew Diacritics Restoration using Visual Representation**Yair Elboher, Yuval Pinter*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/elboher-2026-hebrew-diacritics-restoration-visual-representation/)
102. [**VoxKnesset: A Large-Scale Longitudinal Hebrew Speech Dataset for Aging Speaker Modeling**Yanir Marmor; Arad Zulti; David Krongauz; Adam Gabet; Yoad Snapir; Yair Lifshitz;, Eran Segal*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/marmor-2026-voxknesset-large-scale-longitudinal-hebrew/)
103. [**HeBID: Detecting Social Identities in Hebrew-language Political Text**Guy Mor-Lan, Naama Rivlin-Angert, Yael R. Kaplan, et al.*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/lan-2025-hebid-detecting-social-identities-hebrew/)
104. [**LCHAIM - Investigating Long Context Reasoning in Hebrew**Ehud Malul, Oriel Perets, Ziv Mor, et al.*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/malul-2025-lchaim-investigating-long-context-reasoning/)
105. [**Restoring Missing Spaces in Scraped Hebrew Social Media**Avi Shmidman, Shaltiel Shmidman*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/shmidman-2025-restoring-missing-spaces-scraped-hebrew/)
106. [**Towards Safer Hebrew Communication: A Dataset for Offensive Language Detoxification**Natalia Vanetik, Lior Liberov, Marina Litvak, et al.*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/vanetik-2025-safer-hebrew-communication-dataset-offensive/)
107. [**Computational Methods for the Analysis of Complementizer Variability in Language and Literature: The Case of Hebrew "she-" and "ki"**Avi Shmidman, Aynat Rubinstein*2024 · 1 citation*](https://md.research.elamur.ai/free/en/papers/shmidman-2024-computational-methods-analysis-complementizer-variability/)
108. [**Enhancing TTS Stability in Hebrew using Discrete Semantic Units**Ella Zeldes, Or Tal, Yossi Adi*2024 · 1 citation*](https://md.research.elamur.ai/free/en/papers/zeldes-2024-enhancing-tts-stability-hebrew-using/)
109. [**Knesset-DictaBERT: A Hebrew Language Model for Parliamentary Proceedings**Gili Goldin, Shuly Wintner Department of Computer Science, University of Haifa, et al.*2024 · 1 citation*](https://md.research.elamur.ai/free/en/papers/goldin-2024-knesset-dictabert-hebrew-language-model/)
110. [**Introducing DictaLM — A Large Generative Language Model for Modern Hebrew**Shaltiel Shmidman, Avi Shmidman, Amir David Nissan Cohen, et al.*2023 · 1 citation*](https://md.research.elamur.ai/free/en/papers/shmidman-2023-introducing-dictalm-large-generative-language/)
111. [**Detection of Negative Campaign in Israeli Municipal Elections**Marina Litvak, Natalia Vanetik, Sagiv Talker, et al.*2022 · 1 citation*](https://md.research.elamur.ai/free/en/papers/litvak-2022-detection-negative-campaign-israeli-municipal/)
112. [**Revisiting "verbal agreement": The case of Israeli Hebrew**Leon Shor*2022 · 1 citation*](https://md.research.elamur.ai/free/en/papers/shor-2022-revisiting-verbal-agreement-case-israeli/)
113. [**The Hebrew Essay Corpus**Chen Gafni, Anat Prior, Shuly Wintner*2022 · 1 citation*](https://md.research.elamur.ai/free/en/papers/gafni-2022-hebrew-essay-corpus/)
114. [**Word-Embeddings Distinguish Denominal and Root-Derived Verbs in Semitic**Ido Benbaji, Omri Doron, Adele Henot-Mortier*2022 · 1 citation*](https://md.research.elamur.ai/free/en/papers/benbaji-2022-word-embeddings-distinguish-denominal-root/)
115. [**The acquisition of Hebrew idioms: Stages, internal composition, and implications for storage**Julie Fadlon, Julia Horvath, Tal Siloni, et al.*2018 · 1 citation*](https://md.research.elamur.ai/free/en/papers/fadlon-2018-acquisition-hebrew-idioms-stages-internal/)
116. [**Universal Joint Morph-Syntactic Processing: The Open University of Israel's Submission to The CoNLL 2017 Shared Task**Amir More, Reut Tsarfaty*2017 · 1 citation*](https://md.research.elamur.ai/free/en/papers/more-2017-universal-joint-morph-syntactic-processing/)
117. [**Ze lo kaχa ‘It’s Not Like That’: The Functions of the discourse-deictic kaχa ‘thus’ in spoken Israeli Hebrew**Leon Shor*2017 · 1 citation*](https://md.research.elamur.ai/free/en/papers/shor-2017-ze-lo-kaa-like-that/)
118. [**How to construct a multi-lingual domain ontology**Nitsan Chrizman, Alon Itai*2014 · 1 citation*](https://md.research.elamur.ai/free/en/papers/chrizman-2014-how-construct-multi-lingual-domain/)
119. [**Innovation of Verbs in Hebrew**Uzzi Ornan*2014 · 1 citation*](https://md.research.elamur.ai/free/en/papers/ornan-2014-innovation-verbs-hebrew/)
120. [**Effect of Out Of Vocabulary Terms on Inferring Eligibility Criteria for a Retrospective Study in Hebrew EHR**Raphael Cohen, Michael Elhadad*2013 · 1 citation*](https://md.research.elamur.ai/free/en/papers/cohen-2013-effect-out-vocabulary-terms-inferring/)
121. [**Resources for processing Israeli Hebrew**Shuly Wintner, Shlomo Yona*2003 · 1 citation*](https://md.research.elamur.ai/free/en/papers/wintner-2003-resources-processing-israeli-hebrew/)
122. [**Agentic Detection of Online Conspiracies**Lior Biton, Oren Tsur*2026*](https://md.research.elamur.ai/free/en/papers/biton-2026-agentic-detection-online-conspiracies/)
123. [**Annotation Matters: Resolving Cross-Corpus Performance Drops in Hebrew Offensive Language Detection**Gili Berger Hefetz, Yossef Haim Shrem, Natalia Vanetik, et al.*2026*](https://md.research.elamur.ai/free/en/papers/hefetz-2026-annotation-matters-resolving-cross-corpus/)
124. [**Beyond Word Boundaries: A Hebrew Coreference Benchmark and an Evaluation Protocol for Morphologically Complex Text**Refael Shaked Greenfeld, Reut Tsarfaty*2026*](https://md.research.elamur.ai/free/en/papers/greenfeld-2026-beyond-word-boundaries-hebrew-coreference/)
125. [**Grammatical generalizations and item-specific listing in Hebrew transitivity alternations**Yuval Z. Katz*2026*](https://md.research.elamur.ai/free/en/papers/katz-2026-grammatical-generalizations-item-specific-listing/)

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