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# papers/all/

1731 pages

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- [en/martens-2021-frozen-context-pragmatic-factors-syntactic](https://md.mova.elamur.ai/free/en/docs/papers/martens-2021-frozen-context-pragmatic-factors-syntactic/) — Frozen by context: Pragmatic factors of syntactic freezing
- [en/aclbulk-2007-dredze-frustratingly-hard-domain-adaptation-dependency](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2007-dredze-frustratingly-hard-domain-adaptation-dependency/) — Frustratingly Hard Domain Adaptation for Dependency Parsing
- [en/bank-2006-gabbard-fully-parsing-penn-treebank](https://md.mova.elamur.ai/free/en/docs/papers/bank-2006-gabbard-fully-parsing-penn-treebank/) — Fully Parsing the Penn Treebank
- [he/lingbulk-2020-preminger-functional-structure-noun-phrase-revisiting](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2020-preminger-functional-structure-noun-phrase-revisiting/) — Functional structure in the noun phrase: revisiting Hebrew nominals
- [en/kulick-2012-further-developments-treebank-error-detection](https://md.mova.elamur.ai/free/en/docs/papers/kulick-2012-further-developments-treebank-error-detection/) — Further Developments in Treebank Error Detection Using Derivation Trees
- [en/ud-2017-schuster-gapping-constructions-universal-dependencies-v2](https://md.mova.elamur.ai/free/en/docs/papers/ud-2017-schuster-gapping-constructions-universal-dependencies-v2/) — Gapping Constructions in Universal Dependencies v2
- [hbo/hbo-2019-wu-gbi-treebanks-resource-new-applications](https://md.mova.elamur.ai/free/en/docs/papers/hbo-2019-wu-gbi-treebanks-resource-new-applications/) — GBI Treebanks as a Resource for New Applications
- [en/lex-2008-kilgarriff-gdex-examples](https://md.mova.elamur.ai/free/en/docs/papers/lex-2008-kilgarriff-gdex-examples/) — GDEX: Automatically Finding Good Dictionary Examples in a Corpus
- [en/liu-2024-gdtb-genre-diverse-data-english](https://md.mova.elamur.ai/free/en/docs/papers/liu-2024-gdtb-genre-diverse-data-english/) — GDTB: Genre Diverse Data for English Shallow Discourse Parsing across Modalities, Text Types, and Domains
- [en/hedia-2019-gemination-degemination-english-affixation](https://md.mova.elamur.ai/free/en/docs/papers/hedia-2019-gemination-degemination-english-affixation/) — Gemination and degemination in English affixation
- [sem/lingbulk-2017-fathi-gender-exponence-apparent-polarity-class](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2017-fathi-gender-exponence-apparent-polarity-class/) — Gender exponence and apparent polarity in a class of Omani Mehri plurals
- [hbo/hbo-2018-hare-gendered-speech-sociolinguistic-study-conversations](https://md.mova.elamur.ai/free/en/docs/papers/hbo-2018-hare-gendered-speech-sociolinguistic-study-conversations/) — Gendered Speech: A Sociolinguistic Study of Conversations between Men and Women in Biblical Narrative
- [mtrans/lareau-2018-gendr-generic-deep-realizer-complex](https://md.mova.elamur.ai/free/en/docs/papers/lareau-2018-gendr-generic-deep-realizer-complex/) — GenDR: A Generic Deep Realizer with Complex Lexicalization
- [he/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
- [mtrans/pourdamghani-2016-generating-english-abstract-meaning-representations](https://md.mova.elamur.ai/free/en/docs/papers/pourdamghani-2016-generating-english-abstract-meaning-representations/) — Generating English from Abstract Meaning Representations
- [en/roeck-1986-generating-english-paraphrases-formal-relational](https://md.mova.elamur.ai/free/en/docs/papers/roeck-1986-generating-english-paraphrases-formal-relational/) — Generating English Paraphrases From Formal Relational Calculus Expressions
- [hbo/onto-2002-finkel-generating-hebrew-verb-morphology-default](https://md.mova.elamur.ai/free/en/docs/papers/onto-2002-finkel-generating-hebrew-verb-morphology-default/) — Generating Hebrew Verb Morphology by Default Inheritance Hierarchies
- [mtrans/bohnet-2012-generating-non-projective-word-order](https://md.mova.elamur.ai/free/en/docs/papers/bohnet-2012-generating-non-projective-word-order/) — Generating Non-Projective Word Order in Statistical Linearization
- [mtrans/madnani-2010-generating-phrasal-sentential-paraphrases-survey](https://md.mova.elamur.ai/free/en/docs/papers/madnani-2010-generating-phrasal-sentential-paraphrases-survey/) — Generating Phrasal and Sentential Paraphrases: A Survey of Data-Driven Methods
- [mtrans/markle-2025-generating-text-uniform-meaning-representation](https://md.mova.elamur.ai/free/en/docs/papers/markle-2025-generating-text-uniform-meaning-representation/) — Generating Text from Uniform Meaning Representation
- [en/map-2006-marneffe-generating-typed-dependency-parses-phrase](https://md.mova.elamur.ai/free/en/docs/papers/map-2006-marneffe-generating-typed-dependency-parses-phrase/) — Generating Typed Dependency Parses from Phrase Structure Parses
- [en/donati-2024-generation-evaluation-english-grammar-multiple](https://md.mova.elamur.ai/free/en/docs/papers/donati-2024-generation-evaluation-english-grammar-multiple/) — Generation and Evaluation of English Grammar Multiple-Choice Cloze Exercises
- [mtrans/wong-2007-generation-inverting-semantic-parser-that](https://md.mova.elamur.ai/free/en/docs/papers/wong-2007-generation-inverting-semantic-parser-that/) — Generation by Inverting a Semantic Parser that Uses Statistical Machine Translation
- [mtrans/flanigan-2016-generation-abstract-meaning-representation-tree](https://md.mova.elamur.ai/free/en/docs/papers/flanigan-2016-generation-abstract-meaning-representation-tree/) — Generation from Abstract Meaning Representation using Tree Transducers
- [mtrans/traum-2000-generation-lexical-conceptual-structures](https://md.mova.elamur.ai/free/en/docs/papers/traum-2000-generation-lexical-conceptual-structures/) — Generation from Lexical Conceptual Structures
- [mtrans/hall-2007-generation-machine-translation-deep-syntactic](https://md.mova.elamur.ai/free/en/docs/papers/hall-2007-generation-machine-translation-deep-syntactic/) — Generation in Machine Translation from Deep Syntactic Trees
- [he/syn-1998-netzer-generation-noun-compounds-hebrew-can](https://md.mova.elamur.ai/free/en/docs/papers/syn-1998-netzer-generation-noun-compounds-hebrew-can/) — Generation of Noun Compounds in Hebrew: Can Syntactic Knowledge Be Fully Encapsulated?
- [en/aclbulk-2001-hardt-generation-vp-ellipsis-corpus-based](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2001-hardt-generation-vp-ellipsis-corpus-based/) — Generation of VP Ellipsis: A Corpus-Based Approach
- [mtrans/habash-2002-generation-heavy-hybrid-machine-translation](https://md.mova.elamur.ai/free/en/docs/papers/habash-2002-generation-heavy-hybrid-machine-translation/) — Generation-Heavy Hybrid Machine Translation
- [en/lex-2020-bevilacqua-generationary](https://md.mova.elamur.ai/free/en/docs/papers/lex-2020-bevilacqua-generationary/) — Generationary or «How We Went beyond Word Sense Inventories and Learned to Gloss»
- [en/ud-2021-teichmann-generic-oracles-structured-prediction](https://md.mova.elamur.ai/free/en/docs/papers/ud-2021-teichmann-generic-oracles-structured-prediction/) — Generic Oracles for Structured Prediction
- [en/treebanks-2023-aoyama-gentle-genre-diverse-multilayer-challenge](https://md.mova.elamur.ai/free/en/docs/papers/treebanks-2023-aoyama-gentle-genre-diverse-multilayer-challenge/) — GENTLE: A Genre-Diverse Multilayer Challenge Set for English NLP and Linguistic Evaluation
- [en/kaeshammer-2012-german-english-treebanks-lexica-tree](https://md.mova.elamur.ai/free/en/docs/papers/kaeshammer-2012-german-english-treebanks-lexica-tree/) — German and English Treebanks and Lexica for Tree-Adjoining Grammars
- [en/muller-2023-germanic-syntax-constraint-based](https://md.mova.elamur.ai/free/en/docs/papers/muller-2023-germanic-syntax-constraint-based/) — Germanic syntax: A constraint-based view
- [sem/lingbulk-2017-faust-get-that-into-your-head](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2017-faust-get-that-into-your-head/) — Get that into your head: Tigre vowel harmonies as templatic
- [en/hou-2013-global-inference-bridging-anaphora-resolution](https://md.mova.elamur.ai/free/en/docs/papers/hou-2013-global-inference-bridging-anaphora-resolution/) — Global Inference for Bridging Anaphora Resolution
- [en/commonsense-2020-mostafazadeh-glucose-generalized-contextualized-story-explanations](https://md.mova.elamur.ai/free/en/docs/papers/commonsense-2020-mostafazadeh-glucose-generalized-contextualized-story-explanations/) — GLUCOSE: GeneraLized and COntextualized Story Explanations
- [mtrans/masciolini-2021-grammar-based-concept-alignment-domain](https://md.mova.elamur.ai/free/en/docs/papers/masciolini-2021-grammar-based-concept-alignment-domain/) — Grammar-Based Concept Alignment for Domain-Specific Machine Translation
- [mtrans/khegai-2006-grammatical-framework-gf-mt-sublanguage](https://md.mova.elamur.ai/free/en/docs/papers/khegai-2006-grammatical-framework-gf-mt-sublanguage/) — Grammatical Framework (GF) for MT in Sublanguage Domains
- [mtrans/ranta-2019-grammatical-framework-interlingual-grammar-formalism](https://md.mova.elamur.ai/free/en/docs/papers/ranta-2019-grammatical-framework-interlingual-grammar-formalism/) — Grammatical Framework: an Interlingual Grammar Formalism
- [he/lingbulk-2026-katz-grammatical-generalizations-item-specific-listing](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2026-katz-grammatical-generalizations-item-specific-listing/) — Grammatical generalizations and item-specific listing in Hebrew transitivity alternations
- [en/muller-2023-grammatical-theory-from-transformational](https://md.mova.elamur.ai/free/en/docs/papers/muller-2023-grammatical-theory-from-transformational/) — Grammatical theory: From transformational grammar to constraint-based approaches
- [en/veyseh-2019-graph-based-neural-networks-event](https://md.mova.elamur.ai/free/en/docs/papers/veyseh-2019-graph-based-neural-networks-event/) — Graph based Neural Networks for Event Factuality Prediction using Syntactic and Semantic Structures
- [hbo/lingbulk-2019-lippincott-graph-convolutional-networks-exploring-authorship](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2019-lippincott-graph-convolutional-networks-exploring-authorship/) — Graph convolutional networks for exploring authorship hypotheses
- [en/ud-2021-guillaume-graph-rewriting-enhanced-universal-dependencies](https://md.mova.elamur.ai/free/en/docs/papers/ud-2021-guillaume-graph-rewriting-enhanced-universal-dependencies/) — Graph Rewriting for Enhanced Universal Dependencies
- [en/ud-2020-mohammadshahi-graph-graph-transformer-transition-based](https://md.mova.elamur.ai/free/en/docs/papers/ud-2020-mohammadshahi-graph-graph-transformer-transition-based/) — Graph-to-Graph Transformer for Transition-based Dependency Parsing
- [en/zheng-2021-grice-grammar-based-dataset-recovering](https://md.mova.elamur.ai/free/en/docs/papers/zheng-2021-grice-grammar-based-dataset-recovering/) — GRICE: A Grammar-based Dataset for Recovering Implicature and Conversational rEasoning
- [en/lin-2025-gum-sage-novel-dataset-approach](https://md.mova.elamur.ai/free/en/docs/papers/lin-2025-gum-sage-novel-dataset-approach/) — GUM-SAGE: A Novel Dataset and Approach for Graded Entity Salience Prediction
- [en/levine-2026-gumbridge-corpus-varieties-bridging-anaphora](https://md.mova.elamur.ai/free/en/docs/papers/levine-2026-gumbridge-corpus-varieties-bridging-anaphora/) — GUMBridge: A Corpus for Varieties of Bridging Anaphora
- [en/yu-2019-gumdrop-disrpt2019-shared-task-model](https://md.mova.elamur.ai/free/en/docs/papers/yu-2019-gumdrop-disrpt2019-shared-task-model/) — GumDrop at the DISRPT2019 Shared Task: A Model Stacking Approach to Discourse Unit Segmentation and Connective Detection
- [he/lingbulk-2026-schmitt-hallelubert-let-every-token-that](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2026-schmitt-hallelubert-let-every-token-that/) — HalleluBERT: Let Every Token That Has Meaning Bear Its Weight
- [hbo/aclbulk-2022-swanson-handling-stress-finite-state-morphological](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2022-swanson-handling-stress-finite-state-morphological/) — Handling Stress in Finite-State Morphological Analyzers for Ancient Greek and Ancient Hebrew
- [mtrans/zhou-2019-handling-syntactic-divergence-low-resource](https://md.mova.elamur.ai/free/en/docs/papers/zhou-2019-handling-syntactic-divergence-low-resource/) — Handling Syntactic Divergence in Low-resource Machine Translation
- [en/schuster-2020-harnessing-linguistic-signal-predict-scalar](https://md.mova.elamur.ai/free/en/docs/papers/schuster-2020-harnessing-linguistic-signal-predict-scalar/) — Harnessing the linguistic signal to predict scalar inferences
- [en/jiang-2021-he-thinks-he-knows-better](https://md.mova.elamur.ai/free/en/docs/papers/jiang-2021-he-thinks-he-knows-better/) — He Thinks He Knows Better than the Doctors: BERT for Event Factuality Fails on Pragmatics
- [en/cl-2003-collins-head-driven-statistical-models-natural](https://md.mova.elamur.ai/free/en/docs/papers/cl-2003-collins-head-driven-statistical-models-natural/) — Head-Driven Statistical Models for Natural Language Parsing
- [mtrans/yu-2019-head-first-linearization-tree-structured](https://md.mova.elamur.ai/free/en/docs/papers/yu-2019-head-first-linearization-tree-structured/) — Head-First Linearization with Tree-Structured Representation
- [en/ud-2025-osborne-head-initial-head-final-coordinate](https://md.mova.elamur.ai/free/en/docs/papers/ud-2025-osborne-head-initial-head-final-coordinate/) — Head-initial and head-Final coordinate structures in two annotation schemes of dependency grammar
- [he/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
- [he/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
- [he/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
- [he/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
- [he/lingbulk-2009-goldberg-hebrew-dependency-parsing-initial-results](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2009-goldberg-hebrew-dependency-parsing-initial-results/) — Hebrew Dependency Parsing: Initial Results
- [hbo/aclbulk-2026-elboher-hebrew-diacritics-restoration-visual-representation](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2026-elboher-hebrew-diacritics-restoration-visual-representation/) — Hebrew Diacritics Restoration using Visual Representation
- [hbo/hbo-2001-caen-hebrew-linguistics-biblical-criticism-minimalist](https://md.mova.elamur.ai/free/en/docs/papers/hbo-2001-caen-hebrew-linguistics-biblical-criticism-minimalist/) — Hebrew Linguistics and Biblical Criticism: A Minimalist Programme
- [he/lingbulk-2012-singh-hebrew-morphological-preprocessing-statistical-machine](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2012-singh-hebrew-morphological-preprocessing-statistical-machine/) — Hebrew Morphological Preprocessing for Statistical Machine Translation
- [he/lingbulk-2022-bruening-hebrew-nominals-do-not-require](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2022-bruening-hebrew-nominals-do-not-require/) — Hebrew nominals do not require functional structure above the NP
- [he/aclbulk-2021-shapira-hebrew-psychological-lexicons](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2021-shapira-hebrew-psychological-lexicons/) — Hebrew Psychological Lexicons
- [lakoff-1973-hedges-study-meaning-criteria](https://md.mova.elamur.ai/free/en/docs/papers/lakoff-1973-hedges-study-meaning-criteria/) — Hedges: A Study in Meaning Criteria and the Logic of Fuzzy Concepts
- [hyland-1998-hedging-scientific-research-articles](https://md.mova.elamur.ai/free/en/docs/papers/hyland-1998-hedging-scientific-research-articles/) — Hedging in Scientific Research Articles
- [he/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
- [hbo/lingbulk-2020-jyra-helfi-hebrew-greek-finnish-parallel](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2020-jyra-helfi-hebrew-greek-finnish-parallel/) — HELFI: a Hebrew-Greek-Finnish Parallel Bible Corpus with Cross-Lingual Morpheme Alignment
- [he/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
- [he/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
- [he/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
- [he/lingbulk-2024-mondshine-hesum-novel-dataset-abstractive-text](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2024-mondshine-hesum-novel-dataset-abstractive-text/) — HeSum: a Novel Dataset for Abstractive Text Summarization in Hebrew
- [en/acl-2023-amini-hexatagging-projective-dependency-parsing-as](https://md.mova.elamur.ai/free/en/docs/papers/acl-2023-amini-hexatagging-projective-dependency-parsing-as/) — Hexatagging: Projective Dependency Parsing as Tagging
- [mtrans/zabokrtsky-2009-hidden-markov-tree-model-dependency](https://md.mova.elamur.ai/free/en/docs/papers/zabokrtsky-2009-hidden-markov-tree-model-dependency/) — Hidden Markov Tree Model in Dependency-based Machine Translation
- [mtrans/chiang-2007-hierarchical-phrase-based-translation](https://md.mova.elamur.ai/free/en/docs/papers/chiang-2007-hierarchical-phrase-based-translation/) — Hierarchical Phrase-Based Translation
- [he/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
- [mtrans/smets-2003-high-quality-machine-translation-machine](https://md.mova.elamur.ai/free/en/docs/papers/smets-2003-high-quality-machine-translation-machine/) — High quality machine translation using a machine-learned sentence realization component
- [reed-1877-higher-lessons-english](https://md.mova.elamur.ai/free/en/docs/papers/reed-1877-higher-lessons-english/) — Higher Lessons in English (1877/1886) and Graded Lessons in English (1877)
- [hbo/hbo-2019-winther-nielsen-historical-linguistics-linguistic-dating-hebrew](https://md.mova.elamur.ai/free/en/docs/papers/hbo-2019-winther-nielsen-historical-linguistics-linguistic-dating-hebrew/) — Historical linguistics and linguistic dating of the Hebrew Bible 2015–2018: The Rezetko and Young assessment of the status quaestionis
- [en/morris-1872-historical-outlines-english-accidence](https://md.mova.elamur.ai/free/en/docs/papers/morris-1872-historical-outlines-english-accidence/) — Historical Outlines of English Accidence
- [en/kellner-1892-historical-outlines-english-syntax](https://md.mova.elamur.ai/free/en/docs/papers/kellner-1892-historical-outlines-english-syntax/) — Historical Outlines of English Syntax
- [en/acl-2019-flachs-historical-text-normalization-delayed-rewards](https://md.mova.elamur.ai/free/en/docs/papers/acl-2019-flachs-historical-text-normalization-delayed-rewards/) — Historical Text Normalization with Delayed Rewards
- [en/lingbulk-2005-oepen-holistic-regression-testing-high-quality](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2005-oepen-holistic-regression-testing-high-quality/) — Holistic Regression Testing for High-Quality MT: Some Methodological and Technological Reflections
- [en/aclbulk-2006-volk-how-bad-is-problem-pp](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2006-volk-how-bad-is-problem-pp/) — How Bad is the Problem of PP-Attachment? A Comparison of English, German and Swedish
- [mtrans/cuscito-2024-bert-speaks-shakespearean-english-evaluating](https://md.mova.elamur.ai/free/en/docs/papers/cuscito-2024-bert-speaks-shakespearean-english-evaluating/) — How BERT Speaks Shakespearean English? Evaluating Historical Bias in Contextual Language Models
- [en/joshi-2016-how-challenging-is-sarcasm-versus](https://md.mova.elamur.ai/free/en/docs/papers/joshi-2016-how-challenging-is-sarcasm-versus/) — How Challenging is Sarcasm versus Irony Classification?: A Study With a Dataset from English Literature
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