[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/docs/papers/all/page/17/)

[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/) / [all](https://md.mova.elamur.ai/free/en/docs/papers/all/) / page 17

# papers/all/

1731 pages

[1](https://md.mova.elamur.ai/free/en/docs/papers/all/)[2](https://md.mova.elamur.ai/free/en/docs/papers/all/page/2/)[3](https://md.mova.elamur.ai/free/en/docs/papers/all/page/3/)[4](https://md.mova.elamur.ai/free/en/docs/papers/all/page/4/)[5](https://md.mova.elamur.ai/free/en/docs/papers/all/page/5/)[6](https://md.mova.elamur.ai/free/en/docs/papers/all/page/6/)[7](https://md.mova.elamur.ai/free/en/docs/papers/all/page/7/)[8](https://md.mova.elamur.ai/free/en/docs/papers/all/page/8/)[9](https://md.mova.elamur.ai/free/en/docs/papers/all/page/9/)[10](https://md.mova.elamur.ai/free/en/docs/papers/all/page/10/)[11](https://md.mova.elamur.ai/free/en/docs/papers/all/page/11/)[12](https://md.mova.elamur.ai/free/en/docs/papers/all/page/12/)[13](https://md.mova.elamur.ai/free/en/docs/papers/all/page/13/)[14](https://md.mova.elamur.ai/free/en/docs/papers/all/page/14/)[15](https://md.mova.elamur.ai/free/en/docs/papers/all/page/15/)[16](https://md.mova.elamur.ai/free/en/docs/papers/all/page/16/)**17**[18](https://md.mova.elamur.ai/free/en/docs/papers/all/page/18/)

- [mtrans/vergari-2015-translation-techniques-interpretative-phenomena-greek](https://md.mova.elamur.ai/free/en/docs/papers/vergari-2015-translation-techniques-interpretative-phenomena-greek/) — Translation Techniques and Interpretative Phenomena in the Greek Version of the Hebrew Bible: A Study of the Figurative Use of the Noun צֵל 'Shadow'
- [mtrans/copestake-1995-translation-minimal-recursion-semantics](https://md.mova.elamur.ai/free/en/docs/papers/copestake-1995-translation-minimal-recursion-semantics/) — Translation using Minimal Recursion Semantics
- [hbo/aclbulk-2020-terner-transliteration-judeo-arabic-texts-into](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2020-terner-transliteration-judeo-arabic-texts-into/) — Transliteration of Judeo-Arabic Texts into Arabic Script Using Recurrent Neural Networks
- [en/heilman-2010-tree-edit-models-recognizing-textual](https://md.mova.elamur.ai/free/en/docs/papers/heilman-2010-tree-edit-models-recognizing-textual/) — Tree Edit Models for Recognizing Textual Entailments, Paraphrases, and Answers to Questions
- [en/filippova-2009-tree-linearization-english-improving-language](https://md.mova.elamur.ai/free/en/docs/papers/filippova-2009-tree-linearization-english-improving-language/) — Tree Linearization in English: Improving Language Model Based Approaches
- [en/lingbulk-2008-emms-tree-distance-some-other-variants](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2008-emms-tree-distance-some-other-variants/) — Tree-distance and some other variants of evalb
- [mtrans/liu-2006-tree-string-alignment-template-statistical](https://md.mova.elamur.ai/free/en/docs/papers/liu-2006-tree-string-alignment-template-statistical/) — Tree-to-String Alignment Template for Statistical Machine Translation
- [mtrans/wu-2010-treebank-chinese-bible-translations](https://md.mova.elamur.ai/free/en/docs/papers/wu-2010-treebank-chinese-bible-translations/) — Treebank of Chinese Bible Translations
- [he/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
- [en/aclbulk-2013-martins-turning-turbo-fast-third-order](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2013-martins-turning-turbo-fast-third-order/) — Turning on the Turbo: Fast Third-Order Non-Projective Turbo Parsers
- [en/ud-2018-blodgett-twitter-universal-dependency-parsing-african](https://md.mova.elamur.ai/free/en/docs/papers/ud-2018-blodgett-twitter-universal-dependency-parsing-african/) — Twitter Universal Dependency Parsing for African-American and Mainstream American English
- [en/lamoure-2023-two-ways-agree-d-n1](https://md.mova.elamur.ai/free/en/docs/papers/lamoure-2023-two-ways-agree-d-n1/) — Two ways to agree in D[N1&N2] constructions – Romance left-conjunct agreement and Germanic morphologically resolved agreement
- [hbo/hbo-2019-instone-brewer-tyndale-stepbible-data-development-machine](https://md.mova.elamur.ai/free/en/docs/papers/hbo-2019-instone-brewer-tyndale-stepbible-data-development-machine/) — Tyndale STEPBible Data development for machine analysis and computational linguistics
- [en/ud-2025-yang-ud-english-childes-collected-resource](https://md.mova.elamur.ai/free/en/docs/papers/ud-2025-yang-ud-english-childes-collected-resource/) — UD-English-CHILDES: A Collected Resource of Gold and Silver Universal Dependencies Trees for Child Language Interactions
- [popel-2017-udapi-universal-api-universal-dependencies](https://md.mova.elamur.ai/free/en/docs/papers/popel-2017-udapi-universal-api-universal-dependencies/) — Udapi: Universal API for Universal Dependencies
- [en/ud-2018-straka-udpipe-2-0-prototype-conll](https://md.mova.elamur.ai/free/en/docs/papers/ud-2018-straka-udpipe-2-0-prototype-conll/) — UDPipe 2.0 Prototype at CoNLL 2018 UD Shared Task
- [en/ud-2016-straka-udpipe-trainable-pipeline-processing-conll](https://md.mova.elamur.ai/free/en/docs/papers/ud-2016-straka-udpipe-trainable-pipeline-processing-conll/) — UDPipe: Trainable Pipeline for Processing CoNLL-U Files Performing Tokenization, Morphological Analysis, POS Tagging and Parsing
- [mtrans/schleiermacher-1813-ueber-die-verschiedenen-methoden](https://md.mova.elamur.ai/free/en/docs/papers/schleiermacher-1813-ueber-die-verschiedenen-methoden/) — Ueber die verschiedenen Methoden des Uebersezens (On the Different Methods of Translating)
- [mtrans/bonn-2023-umr-annotation-multiword-expressions](https://md.mova.elamur.ai/free/en/docs/papers/bonn-2023-umr-annotation-multiword-expressions/) — UMR Annotation of Multiword Expressions
- [en/aclbulk-2009-rimell-unbounded-dependency-recovery-parser-evaluation](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2009-rimell-unbounded-dependency-recovery-parser-evaluation/) — Unbounded Dependency Recovery for Parser Evaluation
- [sem/aclbulk-2025-alblooshi-uncertainty-driven-partial-diacritization-arabic](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2025-alblooshi-uncertainty-driven-partial-diacritization-arabic/) — Uncertainty-driven Partial Diacritization for Arabic Text
- [mtrans/mille-2018-underspecified-universal-dependency-structures-as](https://md.mova.elamur.ai/free/en/docs/papers/mille-2018-underspecified-universal-dependency-structures-as/) — Underspecified Universal Dependency Structures as Inputs for Multilingual Surface Realisation
- [mtrans/zarrie-2011-underspecifying-predicting-voice-surface-realisation](https://md.mova.elamur.ai/free/en/docs/papers/zarrie-2011-underspecifying-predicting-voice-surface-realisation/) — Underspecifying and Predicting Voice for Surface Realisation Ranking
- [hbo/hbo-2003-liss-undisclosed-speech-patterns-communication-book](https://md.mova.elamur.ai/free/en/docs/papers/hbo-2003-liss-undisclosed-speech-patterns-communication-book/) — Undisclosed Speech: Patterns of Communication in the Book of Isaiah
- [sem/aclbulk-2009-barthelemy-une-description-morphologique-structuree-en](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2009-barthelemy-une-description-morphologique-structuree-en/) — Une description morphologique structurée en arbre du verbe akkadien qui utilise des structures de traits et des transducteurs multirubans [A Tree-Structured morphological description of the Akkadian verb which uses Feature Structures and Multi-tape Transducers]
- [en/bank-2023-reynolds-unified-syntactic-annotation-english-cgel](https://md.mova.elamur.ai/free/en/docs/papers/bank-2023-reynolds-unified-syntactic-annotation-english-cgel/) — Unified Syntactic Annotation of English in the CGEL Framework
- [en/hao-2025-uniform-information-density-syntactic-reduction-revisiting](https://md.mova.elamur.ai/free/en/docs/papers/hao-2025-uniform-information-density-syntactic-reduction-revisiting/) — Uniform Information Density and Syntactic Reduction: Revisiting that-Mentioning in English Complement Clauses
- [en/levine-2024-unifying-scope-bridging-anaphora-types](https://md.mova.elamur.ai/free/en/docs/papers/levine-2024-unifying-scope-bridging-anaphora-types/) — Unifying the Scope of Bridging Anaphora Types in English: Bridging Annotations in ARRAU and GUM
- [en/lex-2022-batsuren-unimorph-4](https://md.mova.elamur.ai/free/en/docs/papers/lex-2022-batsuren-unimorph-4/) — UniMorph 4.0: Universal Morphology
- [roy-2017-unit-dependency-graph-arithmetic](https://md.mova.elamur.ai/free/en/docs/papers/roy-2017-unit-dependency-graph-arithmetic/) — Unit Dependency Graph and its Application to Arithmetic Word Problem Solving
- [mtrans/abend-2013-universal-conceptual-cognitive-annotation-ucca](https://md.mova.elamur.ai/free/en/docs/papers/abend-2013-universal-conceptual-cognitive-annotation-ucca/) — Universal Conceptual Cognitive Annotation (UCCA)
- [en/white-2016-universal-decompositional-semantics-universal-dependencies](https://md.mova.elamur.ai/free/en/docs/papers/white-2016-universal-decompositional-semantics-universal-dependencies/) — Universal Decompositional Semantics on Universal Dependencies
- [demarneffe-2021-universal-dependencies](https://md.mova.elamur.ai/free/en/docs/papers/demarneffe-2021-universal-dependencies/) — Universal Dependencies
- [en/ud-2022-szubert-universal-dependencies-semantics-english-hebrew](https://md.mova.elamur.ai/free/en/docs/papers/ud-2022-szubert-universal-dependencies-semantics-english-hebrew/) — Universal Dependencies and Semantics for English and Hebrew Child-directed Speech
- [sem/ud-2018-seyoum-universal-dependencies-amharic](https://md.mova.elamur.ai/free/en/docs/papers/ud-2018-seyoum-universal-dependencies-amharic/) — Universal Dependencies for Amharic
- [sem/ud-2017-taji-universal-dependencies-arabic](https://md.mova.elamur.ai/free/en/docs/papers/ud-2017-taji-universal-dependencies-arabic/) — Universal Dependencies for Arabic
- [berzak-2016-universal-dependencies-learner-english](https://md.mova.elamur.ai/free/en/docs/papers/berzak-2016-universal-dependencies-learner-english/) — Universal Dependencies for Learner English
- [en/contributors-2026-universal-dependencies-guidelines](https://md.mova.elamur.ai/free/en/docs/papers/contributors-2026-universal-dependencies-guidelines/) — Universal Dependencies guidelines (v2): English-specific pages
- [en/ud-2019-levshina-universal-dependencies-galaxy-far-far](https://md.mova.elamur.ai/free/en/docs/papers/ud-2019-levshina-universal-dependencies-galaxy-far-far/) — Universal Dependencies in a galaxy far, far away... What makes Yoda's English truly alien
- [en/ud-2017-wang-universal-dependencies-parsing-colloquial-singaporean](https://md.mova.elamur.ai/free/en/docs/papers/ud-2017-wang-universal-dependencies-parsing-colloquial-singaporean/) — Universal Dependencies Parsing for Colloquial Singaporean English
- [en/ud-2016-nivre-universal-dependencies-v1-multilingual-treebank](https://md.mova.elamur.ai/free/en/docs/papers/ud-2016-nivre-universal-dependencies-v1-multilingual-treebank/) — Universal Dependencies v1: A Multilingual Treebank Collection
- [en/ud-2020-nivre-universal-dependencies-v2-evergrowing-multilingual](https://md.mova.elamur.ai/free/en/docs/papers/ud-2020-nivre-universal-dependencies-v2-evergrowing-multilingual/) — Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection
- [he/ud-2017-more-universal-joint-morph-syntactic-processing](https://md.mova.elamur.ai/free/en/docs/papers/ud-2017-more-universal-joint-morph-syntactic-processing/) — Universal Joint Morph-Syntactic Processing: The Open University of Israel's Submission to The CoNLL 2017 Shared Task
- [he/ud-2018-seker-universal-morpho-syntactic-parsing-contribution](https://md.mova.elamur.ai/free/en/docs/papers/ud-2018-seker-universal-morpho-syntactic-parsing-contribution/) — Universal Morpho-Syntactic Parsing and the Contribution of Lexica: Analyzing the ONLP Lab Submission to the CoNLL 2018 Shared Task
- [en/ud-2014-marneffe-universal-stanford-dependencies-cross-linguistic](https://md.mova.elamur.ai/free/en/docs/papers/ud-2014-marneffe-universal-stanford-dependencies-cross-linguistic/) — Universal Stanford dependencies: A cross-linguistic typology
- [mtrans/serasset-1999-unl-french-deconversion-as-transfer](https://md.mova.elamur.ai/free/en/docs/papers/serasset-1999-unl-french-deconversion-as-transfer/) — UNL-French deconversion as transfer & generation from an interlingua with possible quality enhancement through offline human interaction
- [en/wu-2025-unpacking-ambiguity-interaction-polysemous-discourse](https://md.mova.elamur.ai/free/en/docs/papers/wu-2025-unpacking-ambiguity-interaction-polysemous-discourse/) — Unpacking Ambiguity: The Interaction of Polysemous Discourse Markers and Non-DM Signals
- [en/yusupujiang-2023-unravelling-indirect-answers-wh-questions](https://md.mova.elamur.ai/free/en/docs/papers/yusupujiang-2023-unravelling-indirect-answers-wh-questions/) — Unravelling Indirect Answers to Wh-Questions: Corpus Construction, Analysis, and Generation
- [en/hou-2018-unrestricted-bridging-resolution](https://md.mova.elamur.ai/free/en/docs/papers/hou-2018-unrestricted-bridging-resolution/) — Unrestricted Bridging Resolution
- [hbo/hbo-2019-griffin-unrestricted-original-language-resources](https://md.mova.elamur.ai/free/en/docs/papers/hbo-2019-griffin-unrestricted-original-language-resources/) — Unrestricted Original Language Resources
- [mtrans/chen-2017-unsupervised-amr-dependency-parse-alignment](https://md.mova.elamur.ai/free/en/docs/papers/chen-2017-unsupervised-amr-dependency-parse-alignment/) — Unsupervised AMR-Dependency Parse Alignment
- [en/morita-2025-unsupervised-classification-english-words-based](https://md.mova.elamur.ai/free/en/docs/papers/morita-2025-unsupervised-classification-english-words-based/) — Unsupervised Classification of English Words Based on Phonological Information: Discovery of Germanic and Latinate Clusters
- [he/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
- [hbo/aclbulk-2011-koppel-unsupervised-decomposition-document-into-authorial](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2011-koppel-unsupervised-decomposition-document-into-authorial/) — Unsupervised Decomposition of a Document into Authorial Components
- [en/aclbulk-2002-baroni-unsupervised-discovery-morphologically-related-words](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2002-baroni-unsupervised-discovery-morphologically-related-words/) — Unsupervised discovery of morphologically related words based on orthographic and semantic similarity
- [sem/aclbulk-2012-stallard-unsupervised-morphology-rivals-supervised-morphology](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2012-stallard-unsupervised-morphology-rivals-supervised-morphology/) — Unsupervised Morphology Rivals Supervised Morphology for Arabic MT
- [en/cl-2006-kiss-unsupervised-multilingual-sentence-boundary-detection](https://md.mova.elamur.ai/free/en/docs/papers/cl-2006-kiss-unsupervised-multilingual-sentence-boundary-detection/) — Unsupervised Multilingual Sentence Boundary Detection
- [mtrans/narayan-2016-unsupervised-sentence-simplification-deep-semantics](https://md.mova.elamur.ai/free/en/docs/papers/narayan-2016-unsupervised-sentence-simplification-deep-semantics/) — Unsupervised Sentence Simplification Using Deep Semantics
- [mtrans/huang-2022-unsupervised-syntactically-controlled-paraphrase-generation](https://md.mova.elamur.ai/free/en/docs/papers/huang-2022-unsupervised-syntactically-controlled-paraphrase-generation/) — Unsupervised Syntactically Controlled Paraphrase Generation with Abstract Meaning Representations
- [he/lingbulk-2019-dattner-usage-patterns-development-hebrew-grammatical](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2019-dattner-usage-patterns-development-hebrew-grammatical/) — Usage patterns in the development of Hebrew grammatical subjects
- [en/moosavi-2019-automatically-extracted-minimum-spans-disentangle](https://md.mova.elamur.ai/free/en/docs/papers/moosavi-2019-automatically-extracted-minimum-spans-disentangle/) — Using Automatically Extracted Minimum Spans to Disentangle Coreference Evaluation from Boundary Detection
- [mtrans/bick-2007-danish-as-cg-interlingua-wide](https://md.mova.elamur.ai/free/en/docs/papers/bick-2007-danish-as-cg-interlingua-wide/) — Using Danish as a CG Interlingua: A Wide-Coverage Norwegian-English Machine Translation System
- [en/machonis-2017-electronic-dictionaries-nooj-generate-sentences](https://md.mova.elamur.ai/free/en/docs/papers/machonis-2017-electronic-dictionaries-nooj-generate-sentences/) — Using Electronic Dictionaries and NooJ to Generate Sentences Containing English Phrasal Verbs
- [en/ramsay-2009-english-commonsense-knowledge](https://md.mova.elamur.ai/free/en/docs/papers/ramsay-2009-english-commonsense-knowledge/) — Using English for commonsense knowledge
- [en/ulinski-2018-hedge-detection-improve-committed-belief](https://md.mova.elamur.ai/free/en/docs/papers/ulinski-2018-hedge-detection-improve-committed-belief/) — Using Hedge Detection to Improve Committed Belief Tagging
- [en/finch-2006-lexical-dependency-ontological-knowledge-improve](https://md.mova.elamur.ai/free/en/docs/papers/finch-2006-lexical-dependency-ontological-knowledge-improve/) — Using Lexical Dependency and Ontological Knowledge to Improve a Detailed Syntactic and Semantic Tagger of English
- [en/moosavi-2018-linguistic-features-improve-generalization-capability](https://md.mova.elamur.ai/free/en/docs/papers/moosavi-2018-linguistic-features-improve-generalization-capability/) — Using Linguistic Features to Improve the Generalization Capability of Neural Coreference Resolvers
- [en/villa-2023-modern-languages-parse-ancient-ones](https://md.mova.elamur.ai/free/en/docs/papers/villa-2023-modern-languages-parse-ancient-ones/) — Using Modern Languages to Parse Ancient Ones: a Test on Old English
- [en/popescu-2007-speech-acts-logic-based-rhetorical](https://md.mova.elamur.ai/free/en/docs/papers/popescu-2007-speech-acts-logic-based-rhetorical/) — Using Speech Acts in Logic-Based Rhetorical Structuring for Natural Language Generation in Human-Computer Dialogue
- [sem/lingbulk-2014-darwish-stem-templates-improve-arabic-pos](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2014-darwish-stem-templates-improve-arabic-pos/) — Using Stem-Templates to Improve Arabic POS and Gender/Number Tagging
- [en/pitler-2009-syntax-disambiguate-explicit-discourse-connectives](https://md.mova.elamur.ai/free/en/docs/papers/pitler-2009-syntax-disambiguate-explicit-discourse-connectives/) — Using Syntax to Disambiguate Explicit Discourse Connectives in Text
- [en/aclbulk-2019-khullar-syntax-resolve-npe-english](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2019-khullar-syntax-resolve-npe-english/) — Using Syntax to Resolve NPE in English
- [mtrans/king-1990-test-suites-evaluation-machine-translation](https://md.mova.elamur.ai/free/en/docs/papers/king-1990-test-suites-evaluation-machine-translation/) — Using Test Suites in Evaluation of Machine Translation Systems
- [en/bank-2004-ringger-penn-treebank-evaluate-non-treebank](https://md.mova.elamur.ai/free/en/docs/papers/bank-2004-ringger-penn-treebank-evaluate-non-treebank/) — Using the Penn Treebank to Evaluate Non-Treebank Parsers
- [hbo/hbo-2006-li-va-yehi-discourse-marker-kings](https://md.mova.elamur.ai/free/en/docs/papers/hbo-2006-li-va-yehi-discourse-marker-kings/) — Va'yehi as a Discourse Marker in Kings
- [en/bank-2014-lacroix-validation-issues-induced-automatic-pre](https://md.mova.elamur.ai/free/en/docs/papers/bank-2014-lacroix-validation-issues-induced-automatic-pre/) — Validation Issues induced by an Automatic Pre-Annotation Mechanism in the Building of Non-projective Dependency Treebanks
- [en/ud-2021-lapalme-validation-universal-dependencies-regeneration](https://md.mova.elamur.ai/free/en/docs/papers/ud-2021-lapalme-validation-universal-dependencies-regeneration/) — Validation of Universal Dependencies by regeneration
- [en/ziems-2022-value-understanding-dialect-disparity-nlu](https://md.mova.elamur.ai/free/en/docs/papers/ziems-2022-value-understanding-dialect-disparity-nlu/) — VALUE: Understanding Dialect Disparity in NLU
- [en/enprag-2008-baron-vard2-tool-dealing-spelling-variation](https://md.mova.elamur.ai/free/en/docs/papers/enprag-2008-baron-vard2-tool-dealing-spelling-variation/) — VARD 2: A tool for dealing with spelling variation in historical corpora
- [en/akta-2020-variation-coreference-strategies-across-genres](https://md.mova.elamur.ai/free/en/docs/papers/akta-2020-variation-coreference-strategies-across-genres/) — Variation in Coreference Strategies across Genres and Production Media
- [en/aclbulk-2004-nielsen-verb-phrase-ellipsis-detection-automatically](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2004-nielsen-verb-phrase-ellipsis-detection-automatically/) — Verb Phrase Ellipsis detection using Automatically Parsed Text
- [en/aclbulk-2016-dean-verb-phrase-ellipsis-resolution-discriminative](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2016-dean-verb-phrase-ellipsis-resolution-discriminative/) — Verb Phrase Ellipsis Resolution Using Discriminative and Margin-Infused Algorithms
- [en/harchaoui-2025-verb-third-phenomena-germanic](https://md.mova.elamur.ai/free/en/docs/papers/harchaoui-2025-verb-third-phenomena-germanic/) — Verb-third phenomena in Germanic verb-second languages: Historical and variational perspectives
- [he/lingbulk-2024-siegal-verbal-strategies-expressing-reciprocity-case](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2024-siegal-verbal-strategies-expressing-reciprocity-case/) — Verbal strategies for expressing reciprocity – the case of Hebrew
- [hbo/hbo-2014-wilson-verbal-valency-biblical-hebrew-analysis](https://md.mova.elamur.ai/free/en/docs/papers/hbo-2014-wilson-verbal-valency-biblical-hebrew-analysis/) — Verbal Valency in Biblical Hebrew: An Analysis of the Valency of ʿbr
- [en/fabio-2019-verbatlas-novel-large-scale-verbal](https://md.mova.elamur.ai/free/en/docs/papers/fabio-2019-verbatlas-novel-large-scale-verbal/) — VerbAtlas: a Novel Large-Scale Verbal Semantic Resource and Its Application to Semantic Role Labeling
- [mtrans/wahlster-1995-verbmobil-drt-based-translation-spontaneous](https://md.mova.elamur.ai/free/en/docs/papers/wahlster-1995-verbmobil-drt-based-translation-spontaneous/) — Verbmobil: Towards a DRT-based translation of spontaneous negotiation dialogues
- [en/brown-2019-verbnet-representations-subevent-semantics-transfer](https://md.mova.elamur.ai/free/en/docs/papers/brown-2019-verbnet-representations-subevent-semantics-transfer/) — VerbNet Representations: Subevent Semantics for Transfer Verbs
- [en/zaenen-2013-veridicity-annotation-lexicon-look-factive](https://md.mova.elamur.ai/free/en/docs/papers/zaenen-2013-veridicity-annotation-lexicon-look-factive/) — Veridicity annotation in the lexicon? A look at factive adjectives
- [en/lex-2016-kirov-wiktionary-paradigms](https://md.mova.elamur.ai/free/en/docs/papers/lex-2016-kirov-wiktionary-paradigms/) — Very-large Scale Parsing and Normalization of Wiktionary Morphological Paradigms
- [he/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
- [hbo/hbo-2020-schiller-x-qatal-information-structure-back](https://md.mova.elamur.ai/free/en/docs/papers/hbo-2020-schiller-x-qatal-information-structure-back/) — Vom x-qatal zur Informationsstruktur – und retour. Bemerkungen zur Analyse althebräischer Sätze in der Poesie (From x-qatal to information structure – and back again)
- [he/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
- [en/marneffe-2010-was-it-good-it-was](https://md.mova.elamur.ai/free/en/docs/papers/marneffe-2010-was-it-good-it-was/) — Was It Good? It Was Provocative.'' Learning the Meaning of Scalar Adjectives
- [en/acl-2023-testa-we-understand-elliptical-sentences-language](https://md.mova.elamur.ai/free/en/docs/papers/acl-2023-testa-we-understand-elliptical-sentences-language/) — We Understand Elliptical Sentences, and Language Models should Too: A New Dataset for Studying Ellipsis and its Interaction with Thematic Fit
- [en/hee-2018-we-usually-don-t-like](https://md.mova.elamur.ai/free/en/docs/papers/hee-2018-we-usually-don-t-like/) — We Usually Don't Like Going to the Dentist: Using Common Sense to Detect Irony on Twitter
- [mtrans/opitz-2021-weisfeiler-leman-bamboo-novel-amr](https://md.mova.elamur.ai/free/en/docs/papers/opitz-2021-weisfeiler-leman-bamboo-novel-amr/) — Weisfeiler-Leman in the Bamboo: Novel AMR Graph Metrics and a Benchmark for AMR Graph Similarity
- [en/mosteiro-2025-west-germanic-noun-noun-compounds](https://md.mova.elamur.ai/free/en/docs/papers/mosteiro-2025-west-germanic-noun-noun-compounds/) — West Germanic noun-noun compounds and the morphology-syntax trade-off
- [en/borthen-1997-what-brings-higher-order-entity](https://md.mova.elamur.ai/free/en/docs/papers/borthen-1997-what-brings-higher-order-entity/) — What brings a higher-order entity into focus of attention? Sentential pronouns in English and Norwegian.
- [en/bank-2020-futrell-what-determines-order-adjectives-english](https://md.mova.elamur.ai/free/en/docs/papers/bank-2020-futrell-what-determines-order-adjectives-english/) — What determines the order of adjectives in English? Comparing efficiency-based theories using dependency treebanks

[1](https://md.mova.elamur.ai/free/en/docs/papers/all/)[2](https://md.mova.elamur.ai/free/en/docs/papers/all/page/2/)[3](https://md.mova.elamur.ai/free/en/docs/papers/all/page/3/)[4](https://md.mova.elamur.ai/free/en/docs/papers/all/page/4/)[5](https://md.mova.elamur.ai/free/en/docs/papers/all/page/5/)[6](https://md.mova.elamur.ai/free/en/docs/papers/all/page/6/)[7](https://md.mova.elamur.ai/free/en/docs/papers/all/page/7/)[8](https://md.mova.elamur.ai/free/en/docs/papers/all/page/8/)[9](https://md.mova.elamur.ai/free/en/docs/papers/all/page/9/)[10](https://md.mova.elamur.ai/free/en/docs/papers/all/page/10/)[11](https://md.mova.elamur.ai/free/en/docs/papers/all/page/11/)[12](https://md.mova.elamur.ai/free/en/docs/papers/all/page/12/)[13](https://md.mova.elamur.ai/free/en/docs/papers/all/page/13/)[14](https://md.mova.elamur.ai/free/en/docs/papers/all/page/14/)[15](https://md.mova.elamur.ai/free/en/docs/papers/all/page/15/)[16](https://md.mova.elamur.ai/free/en/docs/papers/all/page/16/)**17**[18](https://md.mova.elamur.ai/free/en/docs/papers/all/page/18/)
