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# papers/all/

1731 pages

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- [en/hardmeier-2016-neural-model-part-speech-tagging](https://md.mova.elamur.ai/free/en/docs/papers/hardmeier-2016-neural-model-part-speech-tagging/) — A Neural Model for Part-of-Speech Tagging in Historical Texts
- [en/sonnenschein-1916-new-english-grammar-based](https://md.mova.elamur.ai/free/en/docs/papers/sonnenschein-1916-new-english-grammar-based/) — A New English Grammar based on the recommendations of the Joint Committee on Grammatical Terminology, Parts I–III; The Soul of Grammar
- [sweet-1891-new-english-grammar-logical](https://md.mova.elamur.ai/free/en/docs/papers/sweet-1891-new-english-grammar-logical/) — A New English Grammar, Logical and Historical
- [hbo/ud-2025-tal-new-hebrew-universal-dependency-treebank](https://md.mova.elamur.ai/free/en/docs/papers/ud-2025-tal-new-hebrew-universal-dependency-treebank/) — A New Hebrew Universal Dependency Treebank: The First Treebank of Post-Rabbinic Historical Hebrew
- [mtrans/shen-2008-new-string-dependency-machine-translation](https://md.mova.elamur.ai/free/en/docs/papers/shen-2008-new-string-dependency-machine-translation/) — A New String-to-Dependency Machine Translation Algorithm with a Target Dependency Language Model
- [en/lingbulk-2013-honnibal-non-monotonic-arc-eager-transition](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2013-honnibal-non-monotonic-arc-eager-transition/) — A Non-Monotonic Arc-Eager Transition System for Dependency Parsing
- [en/ud-2017-vilares-non-projective-greedy-dependency-parser](https://md.mova.elamur.ai/free/en/docs/papers/ud-2017-vilares-non-projective-greedy-dependency-parser/) — A non-projective greedy dependency parser with bidirectional LSTMs
- [hbo/findings-2020-shmidman-novel-challenge-set-hebrew-morphological](https://md.mova.elamur.ai/free/en/docs/papers/findings-2020-shmidman-novel-challenge-set-hebrew-morphological/) — A Novel Challenge Set for Hebrew Morphological Disambiguation and Diacritics Restoration
- [en/ninio-2022-paradigm-change-formal-syntax-computational](https://md.mova.elamur.ai/free/en/docs/papers/ninio-2022-paradigm-change-formal-syntax-computational/) — A Paradigm Change for Formal Syntax: Computational Algorithms in the Grammar of English
- [mtrans/manning-2019-partially-rule-based-approach-amr](https://md.mova.elamur.ai/free/en/docs/papers/manning-2019-partially-rule-based-approach-amr/) — A Partially Rule-Based Approach to AMR Generation
- [hbo/hbo-2025-altamimi-phase-theoretic-approach-serial-verb](https://md.mova.elamur.ai/free/en/docs/papers/hbo-2025-altamimi-phase-theoretic-approach-serial-verb/) — A Phase-Theoretic Approach to Serial Verb Constructions in Semitic
- [he/ud-2020-seker-pointer-network-architecture-joint-morphological](https://md.mova.elamur.ai/free/en/docs/papers/ud-2020-seker-pointer-network-architecture-joint-morphological/) — A Pointer Network Architecture for Joint Morphological Segmentation and Tagging
- [en/nagata-2018-pos-tagging-model-adapted-learner](https://md.mova.elamur.ai/free/en/docs/papers/nagata-2018-pos-tagging-model-adapted-learner/) — A POS Tagging Model Designed for Learner English
- [en/scontras-2021-practical-introduction-rational-speech-act](https://md.mova.elamur.ai/free/en/docs/papers/scontras-2021-practical-introduction-rational-speech-act/) — A practical introduction to the Rational Speech Act modeling framework
- [en/zeldes-2018-predictive-model-notional-anaphora-english](https://md.mova.elamur.ai/free/en/docs/papers/zeldes-2018-predictive-model-notional-anaphora-english/) — A Predictive Model for Notional Anaphora in English
- [en/starr-2020-preference-semantics-imperatives](https://md.mova.elamur.ai/free/en/docs/papers/starr-2020-preference-semantics-imperatives/) — A preference semantics for imperatives
- [hbo/hbo-2019-bijl-probabilistic-approach-syntactic-variation-biblical](https://md.mova.elamur.ai/free/en/docs/papers/hbo-2019-bijl-probabilistic-approach-syntactic-variation-biblical/) — A Probabilistic Approach to Syntactic Variation in Biblical Hebrew
- [arc/aclbulk-2010-mcclanahan-probabilistic-morphological-analyzer-syriac](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2010-mcclanahan-probabilistic-morphological-analyzer-syriac/) — A Probabilistic Morphological Analyzer for Syriac
- [en/ud-2026-herrera-proposal-more-universal-annotation-relative](https://md.mova.elamur.ai/free/en/docs/papers/ud-2026-herrera-proposal-more-universal-annotation-relative/) — A Proposal for a More Universal Annotation of Relative Clauses in Universal Dependencies
- [en/harbusch-2002-quantitative-model-word-order-movement](https://md.mova.elamur.ai/free/en/docs/papers/harbusch-2002-quantitative-model-word-order-movement/) — A Quantitative Model of Word Order and Movement in English, Dutch and German Complement Constructions
- [en/kirov-2017-rich-morphological-tagger-english-exploring](https://md.mova.elamur.ai/free/en/docs/papers/kirov-2017-rich-morphological-tagger-english-exploring/) — A Rich Morphological Tagger for English: Exploring the Cross-Linguistic Tradeoff Between Morphology and Syntax
- [hbo/hbo-2020-bambaci-rule-based-parsing-system-encoding](https://md.mova.elamur.ai/free/en/docs/papers/hbo-2020-bambaci-rule-based-parsing-system-encoding/) — A Rule-Based Parsing System for Encoding Kennicott's Collation of the Hebrew Bible
- [he/ud-2022-zeldes-second-wave-ud-hebrew-treebanking](https://md.mova.elamur.ai/free/en/docs/papers/ud-2022-zeldes-second-wave-ud-hebrew-treebanking/) — A Second Wave of UD Hebrew Treebanking and Cross-Domain Parsing
- [en/saenz-2017-semiautomatic-lemmatisation-procedure-treebanks-old](https://md.mova.elamur.ai/free/en/docs/papers/saenz-2017-semiautomatic-lemmatisation-procedure-treebanks-old/) — A semiautomatic lemmatisation procedure for treebanks. Old English strong and weak verbs
- [en/abbott-1869-shakespearian-grammar-attempt-illustrate](https://md.mova.elamur.ai/free/en/docs/papers/abbott-1869-shakespearian-grammar-attempt-illustrate/) — A Shakespearian Grammar: an attempt to illustrate some of the differences between Elizabethan and modern English
- [en/sweet-1892-short-historical-english-grammar](https://md.mova.elamur.ai/free/en/docs/papers/sweet-1892-short-historical-english-grammar/) — A Short Historical English Grammar
- [en/marcheggiani-2017-simple-accurate-syntax-agnostic-neural](https://md.mova.elamur.ai/free/en/docs/papers/marcheggiani-2017-simple-accurate-syntax-agnostic-neural/) — A Simple and Accurate Syntax-Agnostic Neural Model for Dependency-based Semantic Role Labeling
- [en/ud-2019-malaviya-simple-joint-model-improved-contextual](https://md.mova.elamur.ai/free/en/docs/papers/ud-2019-malaviya-simple-joint-model-improved-contextual/) — A Simple Joint Model for Improved Contextual Neural Lemmatization
- [mtrans/reiter-2018-structured-review-validity-bleu](https://md.mova.elamur.ai/free/en/docs/papers/reiter-2018-structured-review-validity-bleu/) — A Structured Review of the Validity of BLEU
- [mtrans/szubert-2018-structured-syntax-semantics-interface-english](https://md.mova.elamur.ai/free/en/docs/papers/szubert-2018-structured-syntax-semantics-interface-english/) — A Structured Syntax-Semantics Interface for English-AMR Alignment
- [mtrans/snover-2006-study-translation-edit-rate-targeted](https://md.mova.elamur.ai/free/en/docs/papers/snover-2006-study-translation-edit-rate-targeted/) — A Study of Translation Edit Rate with Targeted Human Annotation
- [en/zeng-2022-survey-automatic-irony-processing-linguistic](https://md.mova.elamur.ai/free/en/docs/papers/zeng-2022-survey-automatic-irony-processing-linguistic/) — A Survey in Automatic Irony Processing: Linguistic, Cognitive, and Multi-X Perspectives
- [en/blaschke-2023-survey-corpora-germanic-low-resource](https://md.mova.elamur.ai/free/en/docs/papers/blaschke-2023-survey-corpora-germanic-low-resource/) — A Survey of Corpora for Germanic Low-Resource Languages and Dialects
- [mtrans/slocum-1985-survey-machine-translation-its-history](https://md.mova.elamur.ai/free/en/docs/papers/slocum-1985-survey-machine-translation-its-history/) — A Survey of Machine Translation: Its History, Current Status and Future Prospects
- [mtrans/diaz-2020-survey-qualitative-error-analysis-neural](https://md.mova.elamur.ai/free/en/docs/papers/diaz-2020-survey-qualitative-error-analysis-neural/) — A Survey of Qualitative Error Analysis for Neural Machine Translation Systems
- [en/fu-2025-survey-qud-models-discourse-processing](https://md.mova.elamur.ai/free/en/docs/papers/fu-2025-survey-qud-models-discourse-processing/) — A Survey of QUD Models for Discourse Processing
- [mtrans/yamada-2001-syntax-based-statistical-translation-model](https://md.mova.elamur.ai/free/en/docs/papers/yamada-2001-syntax-based-statistical-translation-model/) — A Syntax-based Statistical Translation Model
- [zhang-2008-tale-two-parsers-investigating-combining](https://md.mova.elamur.ai/free/en/docs/papers/zhang-2008-tale-two-parsers-investigating-combining/) — A Tale of Two Parsers: Investigating and Combining Graph-based and Transition-based Dependency Parsing
- [en/flint-2017-text-normalisation-system-non-standard](https://md.mova.elamur.ai/free/en/docs/papers/flint-2017-text-normalisation-system-non-standard/) — A Text Normalisation System for Non-Standard English Words
- [hbo/aclbulk-2020-azar-thesaurus-biblical-hebrew](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2020-azar-thesaurus-biblical-hebrew/) — A Thesaurus for Biblical Hebrew
- [hbo/hbo-1994-kroeze-three-dimensional-approach-gender-sex](https://md.mova.elamur.ai/free/en/docs/papers/hbo-1994-kroeze-three-dimensional-approach-gender-sex/) — A three-dimensional approach to the gender/sex of nouns in Biblical Hebrew
- [mtrans/lavie-2004-trainable-transfer-based-mt-approach](https://md.mova.elamur.ai/free/en/docs/papers/lavie-2004-trainable-transfer-based-mt-approach/) — A trainable transfer-based MT approach for languages with limited resources
- [arc/aclbulk-2023-naaijer-transformer-based-parser-syriac-morphology](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2023-naaijer-transformer-based-parser-syriac-morphology/) — A Transformer-based parser for Syriac morphology
- [en/han-2006-tree-adjoining-grammar-analysis-syntax](https://md.mova.elamur.ai/free/en/docs/papers/han-2006-tree-adjoining-grammar-analysis-syntax/) — A Tree Adjoining Grammar Analysis of the Syntax and Semantics of It-Clefts
- [mtrans/maletti-2010-tree-transducer-model-synchronous-tree](https://md.mova.elamur.ai/free/en/docs/papers/maletti-2010-tree-transducer-model-synchronous-tree/) — A Tree Transducer Model for Synchronous Tree-Adjoining Grammars
- [he/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
- [en/acl-2021-wicks-unified-approach-sentence-segmentation-punctuated](https://md.mova.elamur.ai/free/en/docs/papers/acl-2021-wicks-unified-approach-sentence-segmentation-punctuated/) — A unified approach to sentence segmentation of punctuated text in many languages
- [hbo/ud-2022-swanson-universal-dependencies-treebank-ancient-hebrew](https://md.mova.elamur.ai/free/en/docs/papers/ud-2022-swanson-universal-dependencies-treebank-ancient-hebrew/) — A Universal Dependencies Treebank of Ancient Hebrew
- [en/chen-2003-word-selection-model-based-lexical](https://md.mova.elamur.ai/free/en/docs/papers/chen-2003-word-selection-model-based-lexical/) — A Word Selection Model Based on Lexical Semantic Knowledge in English Generation
- [en/aclbulk-2014-lewis-ccg-parsing-supertag-factored-model](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2014-lewis-ccg-parsing-supertag-factored-model/) — A* CCG Parsing with a Supertag-factored Model
- [en/bhagavatula-2019-abductive-commonsense-reasoning](https://md.mova.elamur.ai/free/en/docs/papers/bhagavatula-2019-abductive-commonsense-reasoning/) — Abductive Commonsense Reasoning
- [mtrans/banarescu-2013-abstract-meaning-representation-sembanking](https://md.mova.elamur.ai/free/en/docs/papers/banarescu-2013-abstract-meaning-representation-sembanking/) — Abstract Meaning Representation for Sembanking
- [mtrans/ranta-2020-abstract-syntax-as-interlingua-scaling](https://md.mova.elamur.ai/free/en/docs/papers/ranta-2020-abstract-syntax-as-interlingua-scaling/) — Abstract Syntax as Interlingua: Scaling Up the Grammatical Framework from Controlled Languages to Robust Pipelines
- [en/merlo-2009-abstraction-generalisation-semantic-role-labels](https://md.mova.elamur.ai/free/en/docs/papers/merlo-2009-abstraction-generalisation-semantic-role-labels/) — Abstraction and Generalisation in Semantic Role Labels: PropBank, VerbNet or both?
- [mtrans/abb-1996-abstraction-underspecification-semantic-transfer](https://md.mova.elamur.ai/free/en/docs/papers/abb-1996-abstraction-underspecification-semantic-transfer/) — Abstraction and underspecification in semantic transfer
- [en/aclbulk-2003-klein-accurate-unlexicalized-parsing](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2003-klein-accurate-unlexicalized-parsing/) — Accurate Unlexicalized Parsing
- [hbo/hbo-2025-nabulsi-accusation-anger-defense-rhetorical-questions](https://md.mova.elamur.ai/free/en/docs/papers/hbo-2025-nabulsi-accusation-anger-defense-rhetorical-questions/) — Accusation, Anger, and Defense: Rhetorical Questions in Genesis, Exodus, Numbers, and Judges
- [mtrans/amrhein-2022-aces-translation-accuracy-challenge-sets](https://md.mova.elamur.ai/free/en/docs/papers/amrhein-2022-aces-translation-accuracy-challenge-sets/) — ACES: Translation Accuracy Challenge Sets for Evaluating Machine Translation Metrics
- [mtrans/eder-2021-acquiring-formality-informed-lexical-resource](https://md.mova.elamur.ai/free/en/docs/papers/eder-2021-acquiring-formality-informed-lexical-resource/) — Acquiring a Formality-Informed Lexical Resource for Style Analysis
- [en/aclbulk-2008-foster-adapting-wsj-trained-parser-grammatically](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2008-foster-adapting-wsj-trained-parser-grammatically/) — Adapting a WSJ-Trained Parser to Grammatically Noisy Text
- [hbo/hbo-2019-robie-adapting-digital-biblical-resources-translation](https://md.mova.elamur.ai/free/en/docs/papers/hbo-2019-robie-adapting-digital-biblical-resources-translation/) — Adapting Digital Biblical Resources for Translation and Teaching: Harvesting low-hanging fruit and growing next generation resources
- [he/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
- [en/lingbulk-2007-foster-adapting-wsj-trained-parsers-british](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2007-foster-adapting-wsj-trained-parsers-british/) — Adapting WSJ-Trained Parsers to the British National Corpus Using In-Domain Self-Training
- [en/aclbulk-1994-palmer-adaptive-sentence-boundary-disambiguation](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-1994-palmer-adaptive-sentence-boundary-disambiguation/) — Adaptive Sentence Boundary Disambiguation
- [en/bank-2007-vadas-adding-noun-phrase-structure-penn](https://md.mova.elamur.ai/free/en/docs/papers/bank-2007-vadas-adding-noun-phrase-structure-penn/) — Adding Noun Phrase Structure to the Penn Treebank
- [en/tiel-2021-adjectival-polarity-processing-scalar-inferences](https://md.mova.elamur.ai/free/en/docs/papers/tiel-2021-adjectival-polarity-processing-scalar-inferences/) — Adjectival polarity and the processing of scalar inferences
- [en/schneider-2017-adposition-case-supersenses-v2-6](https://md.mova.elamur.ai/free/en/docs/papers/schneider-2017-adposition-case-supersenses-v2-6/) — Adposition and Case Supersenses v2.6: Guidelines for English
- [en/jia-2017-adversarial-examples-evaluating-reading-comprehension](https://md.mova.elamur.ai/free/en/docs/papers/jia-2017-adversarial-examples-evaluating-reading-comprehension/) — Adversarial Examples for Evaluating Reading Comprehension Systems
- [sem/acl-2019-zalmout-adversarial-multitask-learning-joint-multi](https://md.mova.elamur.ai/free/en/docs/papers/acl-2019-zalmout-adversarial-multitask-learning-joint-multi/) — Adversarial Multitask Learning for Joint Multi-Feature and Multi-Dialect Morphological Modeling
- [hbo/hbo-2026-andrason-against-binarism-simplicity-neatness-stasis](https://md.mova.elamur.ai/free/en/docs/papers/hbo-2026-andrason-against-binarism-simplicity-neatness-stasis/) — Against Binarism, Simplicity, Neatness and Stasis: A Theoretical Prolegomenon to the Reality of Verbal Grams in Biblical Hebrew
- [he/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
- [he/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
- [en/alva-2025-ai-driven-generation-old-english](https://md.mova.elamur.ai/free/en/docs/papers/alva-2025-ai-driven-generation-old-english/) — AI-Driven Generation of Old English: A Framework for Low-Resource Languages
- [sem/treebanks-2020-luukko-akkadian-treebank-early-neo-assyrian](https://md.mova.elamur.ai/free/en/docs/papers/treebanks-2020-luukko-akkadian-treebank-early-neo-assyrian/) — Akkadian Treebank for early Neo-Assyrian Royal Inscriptions
- [he/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
- [he/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
- [en/narrative-2008-nivre-algorithms-deterministic-incremental-dependency-parsing](https://md.mova.elamur.ai/free/en/docs/papers/narrative-2008-nivre-algorithms-deterministic-incremental-dependency-parsing/) — Algorithms for Deterministic Incremental Dependency Parsing
- [bagga-1998-algorithms-scoring-coreference-chains](https://md.mova.elamur.ai/free/en/docs/papers/bagga-1998-algorithms-scoring-coreference-chains/) — Algorithms for Scoring Coreference Chains
- [mtrans/pourdamghani-2014-aligning-english-strings-abstract-meaning](https://md.mova.elamur.ai/free/en/docs/papers/pourdamghani-2014-aligning-english-strings-abstract-meaning/) — Aligning English Strings with Abstract Meaning Representation Graphs
- [peng-2018-all-roads-lead-ud-converting](https://md.mova.elamur.ai/free/en/docs/papers/peng-2018-all-roads-lead-ud-converting/) — All Roads Lead to UD: Converting Stanford and Penn Parses to English Universal Dependencies with Multilayer Annotations
- [hbo/ud-2024-miranda-allen-institute-ai-sigtyp-2024](https://md.mova.elamur.ai/free/en/docs/papers/ud-2024-miranda-allen-institute-ai-sigtyp-2024/) — Allen Institute for AI @ SIGTYP 2024 Shared Task on Word Embedding Evaluation for Ancient and Historical Languages
- [mtrans/gontrum-2017-alto-rapid-prototyping-parsing-translation](https://md.mova.elamur.ai/free/en/docs/papers/gontrum-2017-alto-rapid-prototyping-parsing-translation/) — Alto: Rapid Prototyping for Parsing and Translation
- [en/lingbulk-2020-gessler-amalgum-free-balanced-multilayer-english](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2020-gessler-amalgum-free-balanced-multilayer-english/) — AMALGUM – A Free, Balanced, Multilayer English Web Corpus
- [en/yuan-2023-ambicoref-evaluating-human-model-sensitivity](https://md.mova.elamur.ai/free/en/docs/papers/yuan-2023-ambicoref-evaluating-human-model-sensitivity/) — AmbiCoref: Evaluating Human and Model Sensitivity to Ambiguous Coreference
- [mtrans/song-2017-amr-text-generation-synchronous-node](https://md.mova.elamur.ai/free/en/docs/papers/song-2017-amr-text-generation-synchronous-node/) — AMR-to-text Generation with Synchronous Node Replacement Grammar
- [mtrans/shi-2023-amr-tst-abstract-meaning-representation](https://md.mova.elamur.ai/free/en/docs/papers/shi-2023-amr-tst-abstract-meaning-representation/) — AMR-TST: Abstract Meaning Representation-based Text Style Transfer
- [sem/langstream-2012-el-shishtawy-accurate-arabic-root-based-lemmatizer](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2012-el-shishtawy-accurate-arabic-root-based-lemmatizer/) — An Accurate Arabic Root-Based Lemmatizer for Information Retrieval Purposes
- [en/kittredge-1913-advanced-english-grammar-exercises](https://md.mova.elamur.ai/free/en/docs/papers/kittredge-1913-advanced-english-grammar-exercises/) — An Advanced English Grammar with Exercises
- [en/aclbulk-2001-copestake-algebra-semantic-construction-constraint-based](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2001-copestake-algebra-semantic-construction-constraint-based/) — An Algebra for Semantic Construction in Constraint-based Grammars
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