[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/docs/papers/he/) [home](https://md.mova.elamur.ai/free/en/) / [docs](https://md.mova.elamur.ai/free/en/docs/) / [papers](https://md.mova.elamur.ai/free/en/docs/papers/) / [Modern Hebrew](https://md.mova.elamur.ai/free/en/docs/papers/he/) # Modern Hebrew Modern Hebrew is the language of today's Israel: written mostly without vowels, rich in prefixes and suffixes glued to the word, so a single written word can hold a whole phrase. These cards cover its morphological segmentation, part-of-speech tagging and dependency parsing, its language models, and the open corpora and treebanks it has. Mova reads Modern Hebrew after its ancient layers; the cards record what the methods built for today's Hebrew can and cannot do for the Bible and the Mishnah, and the other way round. 137 pages **1**[2](https://md.mova.elamur.ai/free/en/docs/papers/he/page/2/) - [acl-2022-seker-alephbert-language-model-pre-training](https://md.mova.elamur.ai/free/en/docs/papers/acl-2022-seker-alephbert-language-model-pre-training/) — AlephBERT: Language Model Pre-training and Evaluation from Sub-Word to Sentence Level - [aclbulk-1998-netzer-generating-determiners-quantifiers-hebrew](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-1998-netzer-generating-determiners-quantifiers-hebrew/) — Generating Determiners and Quantifiers in Hebrew - [aclbulk-1998-wintner-linguistically-motivated-computational-grammar-hebrew](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-1998-wintner-linguistically-motivated-computational-grammar-hebrew/) — Towards a linguistically motivated computational grammar for Hebrew - [aclbulk-2002-kamir-comprehensive-nlp-system-modern-standard](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2002-kamir-comprehensive-nlp-system-modern-standard/) — A Comprehensive NLP System for Modern Standard Arabic and Modern Hebrew - [aclbulk-2005-haim-choosing-optimal-architecture-segmentation-pos](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2005-haim-choosing-optimal-architecture-segmentation-pos/) — Choosing an Optimal Architecture for Segmentation and POS-Tagging of Modern Hebrew - [aclbulk-2006-adler-unsupervised-morpheme-based-hmm-hebrew](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2006-adler-unsupervised-morpheme-based-hmm-hebrew/) — An Unsupervised Morpheme-Based HMM for Hebrew Morphological Disambiguation - [aclbulk-2006-goldberg-noun-phrase-chunking-hebrew-influence](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2006-goldberg-noun-phrase-chunking-hebrew-influence/) — Noun Phrase Chunking in Hebrew: Influence of Lexical and Morphological Features - [aclbulk-2006-tsarfaty-integrated-morphological-syntactic-disambiguation-modern](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2006-tsarfaty-integrated-morphological-syntactic-disambiguation-modern/) — Integrated Morphological and Syntactic Disambiguation for Modern Hebrew - [aclbulk-2007-goldberg-svm-model-tampering-anchored-learning](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2007-goldberg-svm-model-tampering-anchored-learning/) — SVM Model Tampering and Anchored Learning: A Case Study in Hebrew NP Chunking - [aclbulk-2007-manour-smoothing-lexicon-based-pos-tagger](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2007-manour-smoothing-lexicon-based-pos-tagger/) — Smoothing a Lexicon-based POS Tagger for Arabic and Hebrew - [aclbulk-2007-shacham-morphological-disambiguation-hebrew-case-study](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2007-shacham-morphological-disambiguation-hebrew-case-study/) — Morphological Disambiguation of Hebrew: A Case Study in Classifier Combination - [aclbulk-2009-dinur-unsupervised-concept-discovery-hebrew-simple](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2009-dinur-unsupervised-concept-discovery-hebrew-simple/) — Unsupervised Concept Discovery In Hebrew Using Simple Unsupervised Word Prefix Segmentation for Hebrew and Arabic - [aclbulk-2010-goldberg-easy-first-dependency-parsing-modern](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2010-goldberg-easy-first-dependency-parsing-modern/) — Easy-First Dependency Parsing of Modern Hebrew - [aclbulk-2010-litvak-multi-lingual-summarization-comparative-analysis](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2010-litvak-multi-lingual-summarization-comparative-analysis/) — Towards multi-lingual summarization: A comparative analysis of sentence extraction methods on English and Hebrew corpora - [aclbulk-2010-tsarfaty-modeling-morphosyntactic-agreement-constituency-based](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2010-tsarfaty-modeling-morphosyntactic-agreement-constituency-based/) — Modeling Morphosyntactic Agreement in Constituency-Based Parsing of Modern Hebrew - [aclbulk-2011-goldberg-joint-hebrew-segmentation-parsing-pcfgla](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2011-goldberg-joint-hebrew-segmentation-parsing-pcfgla/) — Joint Hebrew Segmentation and Parsing using a PCFGLA Lattice Parser - [aclbulk-2012-albert-morphologically-annotated-hebrew-childes-corpus](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2012-albert-morphologically-annotated-hebrew-childes-corpus/) — A Morphologically Annotated Hebrew CHILDES Corpus - [aclbulk-2012-dickinson-predicting-learner-levels-online-exercises](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2012-dickinson-predicting-learner-levels-online-exercises/) — Predicting Learner Levels for Online Exercises of Hebrew - [aclbulk-2012-strapparava-corpus-based-explorations-affective-load](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2012-strapparava-corpus-based-explorations-affective-load/) — Corpus-based Explorations of Affective Load Differences in Arabic-Hebrew-English - [aclbulk-2013-cohen-effect-out-vocabulary-terms-inferring](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2013-cohen-effect-out-vocabulary-terms-inferring/) — Effect of Out Of Vocabulary Terms on Inferring Eligibility Criteria for a Retrospective Study in Hebrew EHR - [aclbulk-2013-elhadad-multi-document-multilingual-summarization-corpus](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2013-elhadad-multi-document-multilingual-summarization-corpus/) — Multi-document multilingual summarization corpus preparation, Part 2: Czech, Hebrew and Spanish - [aclbulk-2014-ornan-innovation-verbs-hebrew](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2014-ornan-innovation-verbs-hebrew/) — Innovation of Verbs in Hebrew - [aclbulk-2016-liebeskind-semantically-motivated-hebrew-verb-noun](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2016-liebeskind-semantically-motivated-hebrew-verb-noun/) — Semantically Motivated Hebrew Verb-Noun Multi-Word Expressions Identification - [aclbulk-2021-rubinstein-nlp-dh-pipeline-transfer-learning](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2021-rubinstein-nlp-dh-pipeline-transfer-learning/) — NLP in the DH pipeline: Transfer-learning to a Chronolect - [aclbulk-2021-shapira-hebrew-psychological-lexicons](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2021-shapira-hebrew-psychological-lexicons/) — Hebrew Psychological Lexicons - [aclbulk-2021-wenger-automated-extraction-sentencing-decisions-court](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2021-wenger-automated-extraction-sentencing-decisions-court/) — Automated Extraction of Sentencing Decisions from Court Cases in the Hebrew Language - [aclbulk-2022-litvak-detection-negative-campaign-israeli-municipal](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2022-litvak-detection-negative-campaign-israeli-municipal/) — Detection of Negative Campaign in Israeli Municipal Elections - [aclbulk-2023-schleifer-transformer-based-hebrew-nlp-models](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2023-schleifer-transformer-based-hebrew-nlp-models/) — Transformer-based Hebrew NLP models for Short Answer Scoring in Biology - [aclbulk-2024-liebeskind-linguistics-practice-case-study-offensive](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2024-liebeskind-linguistics-practice-case-study-offensive/) — From Linguistics to Practice: a Case Study of Offensive Language Taxonomy in Hebrew - [aclbulk-2024-shmidman-otobert-identifying-suffixed-verbal-forms](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2024-shmidman-otobert-identifying-suffixed-verbal-forms/) — OtoBERT: Identifying Suffixed Verbal Forms in Modern Hebrew Literature - [aclbulk-2025-shmidman-restoring-missing-spaces-scraped-hebrew](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2025-shmidman-restoring-missing-spaces-scraped-hebrew/) — Restoring Missing Spaces in Scraped Hebrew Social Media - [aclbulk-2025-vanetik-safer-hebrew-communication-dataset-offensive](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2025-vanetik-safer-hebrew-communication-dataset-offensive/) — Towards Safer Hebrew Communication: A Dataset for Offensive Language Detoxification - [aclbulk-2026-atya-trustworthy-nlp-low-resource-languages](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2026-atya-trustworthy-nlp-low-resource-languages/) — Trustworthy NLP for Low-Resource Languages: Agent-Based Uncertainty Modeling for Hebrew Radiology Report Structuring - [aclbulk-2026-dahan-leveraging-digitized-newspapers-collect-summarization](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2026-dahan-leveraging-digitized-newspapers-collect-summarization/) — Leveraging Digitized Newspapers to Collect Summarization Data in Low-Resource Languages - [aclbulk-2026-hefetz-annotation-matters-resolving-cross-corpus](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2026-hefetz-annotation-matters-resolving-cross-corpus/) — Annotation Matters: Resolving Cross-Corpus Performance Drops in Hebrew Offensive Language Detection - [aclbulk-2026-samo-modelling-morphology-verbal-paradigms-case](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2026-samo-modelling-morphology-verbal-paradigms-case/) — Modelling the Morphology of Verbal Paradigms: A Case Study in the Tokenization of Turkish and Hebrew - [arxivrecent-2023-shmidman-dictabert-state-art-bert-suite](https://md.mova.elamur.ai/free/en/docs/papers/arxivrecent-2023-shmidman-dictabert-state-art-bert-suite/) — DictaBERT: A State-of-the-Art BERT Suite for Modern Hebrew - [arxivrecent-2024-goldin-knesset-corpus-annotated-corpus-hebrew](https://md.mova.elamur.ai/free/en/docs/papers/arxivrecent-2024-goldin-knesset-corpus-annotated-corpus-hebrew/) — The Knesset Corpus: An Annotated Corpus of Hebrew Parliamentary Proceedings - [arxivrecent-2024-shmidman-adapting-llms-hebrew-unveiling-dictalm](https://md.mova.elamur.ai/free/en/docs/papers/arxivrecent-2024-shmidman-adapting-llms-hebrew-unveiling-dictalm/) — Adapting LLMs to Hebrew: Unveiling DictaLM 2.0 with Enhanced Vocabulary and Instruction Capabilities - [babylm-2025-gelboim-tafberta-learning-grammatical-rules-small](https://md.mova.elamur.ai/free/en/docs/papers/babylm-2025-gelboim-tafberta-learning-grammatical-rules-small/) — TafBERTa: Learning Grammatical Rules from Small-Scale Language Acquisition Data in Hebrew - [cl-2013-goldberg-word-segmentation-unknown-word-resolution](https://md.mova.elamur.ai/free/en/docs/papers/cl-2013-goldberg-word-segmentation-unknown-word-resolution/) — Word Segmentation, Unknown-word Resolution, and Morphological Agreement in a Hebrew Parsing System - [coling-2018-amram-representations-architectures-neural-sentiment-analysis](https://md.mova.elamur.ai/free/en/docs/papers/coling-2018-amram-representations-architectures-neural-sentiment-analysis/) — Representations and Architectures in Neural Sentiment Analysis for Morphologically Rich Languages: A Case Study from Modern Hebrew - [coling-2024-lan-israparltweet-israeli-parliamentary-twitter-resource](https://md.mova.elamur.ai/free/en/docs/papers/coling-2024-lan-israparltweet-israeli-parliamentary-twitter-resource/) — IsraParlTweet: The Israeli Parliamentary and Twitter Resource - [coref-2026-greenfeld-beyond-word-boundaries-hebrew-coreference](https://md.mova.elamur.ai/free/en/docs/papers/coref-2026-greenfeld-beyond-word-boundaries-hebrew-coreference/) — Beyond Word Boundaries: A Hebrew Coreference Benchmark and an Evaluation Protocol for Morphologically Complex Text - [disc-2021-oleskeviciene-multiword-expressions-as-discourse-markers](https://md.mova.elamur.ai/free/en/docs/papers/disc-2021-oleskeviciene-multiword-expressions-as-discourse-markers/) — Multiword expressions as discourse markers in Hebrew and Lithuanian - [eacl-2021-weise-talk-me-left-right-angles](https://md.mova.elamur.ai/free/en/docs/papers/eacl-2021-weise-talk-me-left-right-angles/) — "Talk to me with left, right, and angles": Lexical entrainment in spoken Hebrew dialogue - [eacl-2024-levi-truly-joint-neural-architecture-segmentation](https://md.mova.elamur.ai/free/en/docs/papers/eacl-2024-levi-truly-joint-neural-architecture-segmentation/) — A Truly Joint Neural Architecture for Segmentation and Parsing - [findings-2020-mizrahi-coming-terms-automatic-formation-neologisms](https://md.mova.elamur.ai/free/en/docs/papers/findings-2020-mizrahi-coming-terms-automatic-formation-neologisms/) — Coming to Terms: Automatic Formation of Neologisms in Hebrew - [findings-2023-argaman-hegel-novel-dataset-geo-location](https://md.mova.elamur.ai/free/en/docs/papers/findings-2023-argaman-hegel-novel-dataset-geo-location/) — HeGeL: A Novel Dataset for Geo-Location from Hebrew Text - [findings-2023-cohen-heq-large-diverse-hebrew-reading](https://md.mova.elamur.ai/free/en/docs/papers/findings-2023-cohen-heq-large-diverse-hebrew-reading/) — HeQ: a Large and Diverse Hebrew Reading Comprehension Benchmark - [findings-2023-eyal-multilingual-sequence-sequence-models-hebrew](https://md.mova.elamur.ai/free/en/docs/papers/findings-2023-eyal-multilingual-sequence-sequence-models-hebrew/) — Multilingual Sequence-to-Sequence Models for Hebrew NLP - [findings-2023-hagag-truth-whole-truth-nothing-but](https://md.mova.elamur.ai/free/en/docs/papers/findings-2023-hagag-truth-whole-truth-nothing-but/) — The Truth, The Whole Truth, and Nothing but the Truth: A New Benchmark Dataset for Hebrew Text Credibility Assessment - [findings-2024-argaman-hesum-novel-dataset-abstractive-text](https://md.mova.elamur.ai/free/en/docs/papers/findings-2024-argaman-hesum-novel-dataset-abstractive-text/) — HeSum: a Novel Dataset for Abstractive Text Summarization in Hebrew - [findings-2025-lan-hebid-detecting-social-identities-hebrew](https://md.mova.elamur.ai/free/en/docs/papers/findings-2025-lan-hebid-detecting-social-identities-hebrew/) — HeBID: Detecting Social Identities in Hebrew-language Political Text - [findings-2025-malul-lchaim-investigating-long-context-reasoning](https://md.mova.elamur.ai/free/en/docs/papers/findings-2025-malul-lchaim-investigating-long-context-reasoning/) — LCHAIM - Investigating Long Context Reasoning in Hebrew - [findings-2026-razumenko-judgemenot-personalizing-large-language-models](https://md.mova.elamur.ai/free/en/docs/papers/findings-2026-razumenko-judgemenot-personalizing-large-language-models/) — JudgeMeNot: Personalizing Large Language Models to Emulate Judicial Reasoning in Hebrew - [frame-2016-hayoun-hebrew-framenet-project](https://md.mova.elamur.ai/free/en/docs/papers/frame-2016-hayoun-hebrew-framenet-project/) — The Hebrew FrameNet Project - [langsci-b271-kastner-voice-at-interfaces](https://md.mova.elamur.ai/free/en/docs/papers/langsci-b271-kastner-voice-at-interfaces/) — Voice at the Interfaces: The Syntax, Semantics, and Morphology of the Hebrew Verb - [langstream-2016-belinkov-large-scale-machine-translation-between](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2016-belinkov-large-scale-machine-translation-between/) — Large-Scale Machine Translation between Arabic and Hebrew: Available Corpora and Initial Results - [langstream-2016-cettolo-arabic-hebrew-parallel-corpus-ted](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2016-cettolo-arabic-hebrew-parallel-corpus-ted/) — An Arabic-Hebrew parallel corpus of TED talks - [langstream-2021-chriqui-hebert-hebemo-hebrew-bert-model](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2021-chriqui-hebert-hebemo-hebrew-bert-model/) — HeBERT & HebEMO: a Hebrew BERT Model and a Tool for Polarity Analysis and Emotion Recognition - [langstream-2021-seker-alephbert-hebrew-large-pre-trained](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2021-seker-alephbert-hebrew-large-pre-trained/) — AlephBERT: A Hebrew Large Pre-Trained Language Model to Start-off your Hebrew NLP Application With - [langstream-2021-szubert-cross-linguistically-consistent-semantic-syntactic](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2021-szubert-cross-linguistically-consistent-semantic-syntactic/) — Cross-linguistically Consistent Semantic and Syntactic Annotation of Child-directed Speech - [langstream-2022-weingarten-style-transfer-classification-hebrew-news](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2022-weingarten-style-transfer-classification-hebrew-news/) — Style transfer and classification in hebrew news items - [langstream-2023-gueta-explicit-morphological-knowledge-improves-pre](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2023-gueta-explicit-morphological-knowledge-improves-pre/) — Explicit Morphological Knowledge Improves Pre-training of Language Models for Hebrew - [langstream-2023-hamad-offensive-hebrew-corpus-detection-using](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2023-hamad-offensive-hebrew-corpus-detection-using/) — Offensive Hebrew Corpus and Detection using BERT - [langstream-2023-marmor-ivrit-ai-comprehensive-dataset-hebrew](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2023-marmor-ivrit-ai-comprehensive-dataset-hebrew/) — ivrit.ai: A Comprehensive Dataset of Hebrew Speech for AI Research and Development - [langstream-2023-shalumov-hero-roberta-longformer-hebrew-language](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2023-shalumov-hero-roberta-longformer-hebrew-language/) — HeRo: RoBERTa and Longformer Hebrew Language Models - [langstream-2023-shmidman-introducing-dictalm-large-generative-language](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2023-shmidman-introducing-dictalm-large-generative-language/) — Introducing DictaLM -- A Large Generative Language Model for Modern Hebrew - [langstream-2024-goldin-knesset-dictabert-hebrew-language-model](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2024-goldin-knesset-dictabert-hebrew-language-model/) — Knesset-DictaBERT: A Hebrew Language Model for Parliamentary Proceedings - [langstream-2024-mahon-language-agnostic-model-child-language](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2024-mahon-language-agnostic-model-child-language/) — A Language-agnostic Model of Child Language Acquisition - [langstream-2024-roth-language-modeling-approach-diacritic-free](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2024-roth-language-modeling-approach-diacritic-free/) — A Language Modeling Approach to Diacritic-Free Hebrew TTS - [langstream-2024-shalumov-mevaker-conclusion-extraction-allocation-resources](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2024-shalumov-mevaker-conclusion-extraction-allocation-resources/) — Mevaker: Conclusion Extraction and Allocation Resources for the Hebrew Language - [langstream-2024-turetzky-hebdb-weakly-supervised-dataset-hebrew](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2024-turetzky-hebdb-weakly-supervised-dataset-hebrew/) — HebDB: a Weakly Supervised Dataset for Hebrew Speech Processing - [langstream-2024-zeldes-enhancing-tts-stability-hebrew-using](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2024-zeldes-enhancing-tts-stability-hebrew-using/) — Enhancing TTS Stability in Hebrew using Discrete Semantic Units - [langstream-2025-badash-hierarchical-section-matching-prediction-hsmp](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2025-badash-hierarchical-section-matching-prediction-hsmp/) — Hierarchical Section Matching Prediction (HSMP) BERT for Fine-Grained Extraction of Structured Data from Hebrew Free-Text Radiology Reports in Crohn's Disease - [langstream-2025-ben-atya-agent-based-uncertainty-awareness-improves](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2025-ben-atya-agent-based-uncertainty-awareness-improves/) — Agent-Based Uncertainty Awareness Improves Automated Radiology Report Labeling with an Open-Source Large Language Model - [langstream-2025-hashiloni-building-patient-journeys-hebrew-language](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2025-hashiloni-building-patient-journeys-hebrew-language/) — Building Patient Journeys in Hebrew: A Language Model for Clinical Timeline Extraction - [langstream-2025-kolani-phonikud-overcoming-phonetic-underspecification-hebrew](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2025-kolani-phonikud-overcoming-phonetic-underspecification-hebrew/) — Phonikud: Overcoming Phonetic Underspecification for Hebrew Text-To-Speech - [langstream-2025-shmidman-neodictabert-pushing-frontier-bert-models](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2025-shmidman-neodictabert-pushing-frontier-bert-models/) — NeoDictaBERT: Pushing the Frontier of BERT models for Hebrew - [langstream-2026-biton-agentic-detection-online-conspiracies](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2026-biton-agentic-detection-online-conspiracies/) — Agentic Detection of Online Conspiracies - [langstream-2026-kayzer-hebatron-hebrew-specialized-open-weight](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2026-kayzer-hebatron-hebrew-specialized-open-weight/) — HEBATRON: A Hebrew-Specialized Open-Weight Mixture-of-Experts Language Model - [langstream-2026-liang-similar-means-different-evaluating-llms](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2026-liang-similar-means-different-evaluating-llms/) — When Similar Means Different: Evaluating LLMs on Arabic–Hebrew Cognates - [langstream-2026-marmor-voxknesset-large-scale-longitudinal-hebrew](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2026-marmor-voxknesset-large-scale-longitudinal-hebrew/) — VoxKnesset: A Large-Scale Longitudinal Hebrew Speech Dataset for Aging Speaker Modeling - [langstream-2026-melichov-renikud-audio-supervised-hebrew-grapheme](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2026-melichov-renikud-audio-supervised-hebrew-grapheme/) — ReNikud: Audio-Supervised Hebrew Grapheme-to-Phoneme Conversion - [langstream-2026-shmidman-dicta-lm-3-0-advancing](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2026-shmidman-dicta-lm-3-0-advancing/) — Dicta-LM 3.0: Advancing The Frontier of Hebrew Sovereign LLMs - [lingbulk-1982-yannai-innovation-neologism-modern-hebrew](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-1982-yannai-innovation-neologism-modern-hebrew/) — Innovation and neologism in modern Hebrew - [lingbulk-2000-rannon-creation-spoken-hebrew-databases](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2000-rannon-creation-spoken-hebrew-databases/) — Creation of Spoken Hebrew Databases - [lingbulk-2003-itai-corpus-based-morphological-analyzer-unvocalized](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2003-itai-corpus-based-morphological-analyzer-unvocalized/) — A corpus based morphological analyzer for unvocalized modern Hebrew - [lingbulk-2003-wintner-resources-processing-israeli-hebrew](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2003-wintner-resources-processing-israeli-hebrew/) — Resources for processing Israeli Hebrew - 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