--- title: "Modern Hebrew — papers" description: "Modern Hebrew: 153 papers of the Elamur Research library, the most cited first." canonical: "https://research.elamur.ai/free/en/topics/modern-hebrew/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/topics/modern-hebrew/) [home](https://md.research.elamur.ai/free/en/) / [topics](https://md.research.elamur.ai/free/en/topics/) / Modern Hebrew # Modern Hebrew 153 papers · page 1 of 3 · 1–25 · 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. **1** [2](https://md.research.elamur.ai/free/en/topics/modern-hebrew/page/2/) [3](https://md.research.elamur.ai/free/en/topics/modern-hebrew/page/3/) [next →](https://md.research.elamur.ai/free/en/topics/modern-hebrew/page/2/) 1. [**An Unsupervised Morpheme-Based HMM for Hebrew Morphological Disambiguation**Meni Adler, Michael Elhadad*2006 · 99 citations*](https://md.research.elamur.ai/free/en/papers/adler-2006-unsupervised-morpheme-based-hmm-hebrew/) 2. [**Missing objects in Hebrew: Argument ellipsis, not VP ellipsis**Idan Landau*2018 · 89 citations*](https://md.research.elamur.ai/free/en/papers/landau-2018-missing-objects-hebrew-argument-ellipsis/) 3. [**HeBERT & HebEMO: a Hebrew BERT Model and a Tool for Polarity Analysis and Emotion Recognition**Avihay Chriqui, Inbal Yahav*2021 · 68 citations*](https://md.research.elamur.ai/free/en/papers/chriqui-2021-hebert-hebemo-hebrew-bert-model/) 4. [**Integrated Morphological and Syntactic Disambiguation for Modern Hebrew**Reut Tsarfaty*2006 · 67 citations*](https://md.research.elamur.ai/free/en/papers/tsarfaty-2006-integrated-morphological-syntactic-disambiguation-modern/) 5. [**A Graph-based Lattice Dependency Parser for Joint Morphological Segmentation and Syntactic Analysis**Wolfgang Seeker, Özlem Çetinoğlu*2015 · 66 citations*](https://md.research.elamur.ai/free/en/papers/seeker-2015-graph-based-lattice-dependency-parser/) 6. [**Joint Transition-Based Models for Morpho-Syntactic Parsing: Parsing Strategies for MRLs and a Case Study from Modern Hebrew**Amir More, Amit Seker, Victoria Basmova, et al.*2019 · 60 citations*](https://md.research.elamur.ai/free/en/papers/more-2019-joint-transition-based-models-morpho/) 7. [**AlephBERT: Language Model Pre-training and Evaluation from Sub-Word to Sentence Level**Amit Seker, Elron Bandel, Dan Bareket, et al.*2022 · 57 citations*](https://md.research.elamur.ai/free/en/papers/seker-2022-alephbert-language-model-pre-training/) 8. [**AlephBERT: A Hebrew Large Pre-Trained Language Model to Start-off your Hebrew NLP Application With**Amit Seker, Elron Bandel, Dan Bareket, et al.*2021 · 56 citations*](https://md.research.elamur.ai/free/en/papers/seker-2021-alephbert-hebrew-large-pre-trained/) 9. [**Reflexive verbs in Hebrew: Deep unaccusativity meets lexical semantics**Itamar Kastner*2017 · 52 citations*](https://md.research.elamur.ai/free/en/papers/kastner-2017-reflexive-verbs-hebrew-deep-unaccusativity/) 10. [**What's Wrong with Hebrew NLP? And How to Make it Right**Reut Tsarfaty, Shoval Sadde, Stav Klein, et al.*2019 · 50 citations*](https://md.research.elamur.ai/free/en/papers/tsarfaty-2019-what-s-wrong-hebrew-nlp/) 11. [**Choosing an Optimal Architecture for Segmentation and POS-Tagging of Modern Hebrew**Roy Bar-Haim, Khalil Sima'an, Yoad Winter*2005 · 46 citations*](https://md.research.elamur.ai/free/en/papers/haim-2005-choosing-optimal-architecture-segmentation-pos/) 12. [**Representations and Architectures in Neural Sentiment Analysis for Morphologically Rich Languages: A Case Study from Modern Hebrew**Adam Amram, Anat Ben David, Reut Tsarfaty*2018 · 40 citations*](https://md.research.elamur.ai/free/en/papers/amram-2018-representations-architectures-neural-sentiment-analysis/) 13. [**A Finite-State Morphological Grammar of Hebrew**Shlomo Yona, Shuly Wintner*2005 · 40 citations*](https://md.research.elamur.ai/free/en/papers/yona-2005-finite-state-morphological-grammar-hebrew/) 14. [**Word Segmentation, Unknown-word Resolution, and Morphological Agreement in a Hebrew Parsing System**Yoav Goldberg, Michael Elhadad*2013 · 39 citations*](https://md.research.elamur.ai/free/en/papers/goldberg-2013-word-segmentation-unknown-word-resolution/) 15. [**Easy-First Dependency Parsing of Modern Hebrew**Yoav Goldberg, Michael Elhadad*2010 · 38 citations*](https://md.research.elamur.ai/free/en/papers/goldberg-2010-easy-first-dependency-parsing-modern/) 16. [**No case for Case in locality: Case does not help interpretation when intervention blocks A-bar chains**Naama Friedmann, Luigi Rizzi, Adriana Belletti*2017 · 37 citations*](https://md.research.elamur.ai/free/en/papers/friedmann-2017-no-case-case-locality-case/) 17. [**Smoothing a Lexicon-based POS Tagger for Arabic and Hebrew**Saib Manour, Khalil Sima'an, Yoad Winter*2007 · 34 citations*](https://md.research.elamur.ai/free/en/papers/manour-2007-smoothing-lexicon-based-pos-tagger/) 18. [**Neural Modeling for Named Entities and Morphology (NEMO2)**Dan Bareket, Reut Tsarfaty*2021 · 32 citations*](https://md.research.elamur.ai/free/en/papers/bareket-2021-neural-modeling-named-entities-morphology/) 19. [**Joint Hebrew Segmentation and Parsing using a PCFGLA Lattice Parser**Yoav Goldberg, Michael Elhadad*2011 · 32 citations*](https://md.research.elamur.ai/free/en/papers/goldberg-2011-joint-hebrew-segmentation-parsing-pcfgla/) 20. [**Morphological Disambiguation of Hebrew: A Case Study in Classifier Combination**Danny Shacham, Shuly Wintner*2007 · 32 citations*](https://md.research.elamur.ai/free/en/papers/shacham-2007-morphological-disambiguation-hebrew-case-study/) 21. [**The Hebrew Universal Dependency Treebank: Past, Present and Future**Shoval Sade, Amit Seker, Reut Tsarfaty*2018 · 31 citations*](https://md.research.elamur.ai/free/en/papers/sade-2018-hebrew-universal-dependency-treebank-past/) 22. [**Hebrew Dependency Parsing: Initial Results**Yoav Goldberg, Michael Elhadad*2009 · 31 citations*](https://md.research.elamur.ai/free/en/papers/goldberg-2009-hebrew-dependency-parsing-initial-results/) 23. [**Reciprocal expressions and the Maximal Typicality Hypothesis**Eva B. Poortman, Marijn E. Struiksma, Nir Kerem, et al.*2018 · 30 citations*](https://md.research.elamur.ai/free/en/papers/poortman-2018-reciprocal-expressions-maximal-typicality-hypothesis/) 24. [**Large Pre-Trained Models with Extra-Large Vocabularies: A Contrastive Analysis of Hebrew BERT Models and a New One to Outperform Them All**Eylon Gueta, Avi Shmidman, Shaltiel Shmidman, et al.*2022 · 28 citations*](https://md.research.elamur.ai/free/en/papers/gueta-2022-large-pre-trained-models-extra/) 25. [**Word-Based or Morpheme-Based? Annotation Strategies for Modern Hebrew Clitics**Reut Tsarfaty, Yoav Goldberg*2008 · 23 citations*](https://md.research.elamur.ai/free/en/papers/tsarfaty-2008-word-based-or-morpheme-based/) **1** [2](https://md.research.elamur.ai/free/en/topics/modern-hebrew/page/2/) [3](https://md.research.elamur.ai/free/en/topics/modern-hebrew/page/3/) [next →](https://md.research.elamur.ai/free/en/topics/modern-hebrew/page/2/) Updated 23 October 2026 - [← previous topic Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/) - [next topic → Morphology](https://md.research.elamur.ai/free/en/topics/morphology/) - [↑ back to topics](https://md.research.elamur.ai/free/en/topics/)