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[mtrans/quirk-2005-dependency-treelet-translation-syntactically-informed](https://md.mova.elamur.ai/free/en/docs/papers/quirk-2005-dependency-treelet-translation-syntactically-informed/) — Dependency Treelet Translation: Syntactically Informed Phrasal SMT - [en/marsi-2007-dependency-based-paraphrasing-recognizing-textual](https://md.mova.elamur.ai/free/en/docs/papers/marsi-2007-dependency-based-paraphrasing-recognizing-textual/) — Dependency-based paraphrasing for recognizing textual entailment - [en/johansson-2008-dependency-based-semantic-role-labeling](https://md.mova.elamur.ai/free/en/docs/papers/johansson-2008-dependency-based-semantic-role-labeling/) — Dependency-based Semantic Role Labeling of PropBank - [sem/aclbulk-2018-batita-derivational-relations-arabic-wordnet](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2018-batita-derivational-relations-arabic-wordnet/) — Derivational Relations in Arabic WordNet - [en/aclbulk-2009-hara-descriptive-empirical-approaches-capturing-underlying](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2009-hara-descriptive-empirical-approaches-capturing-underlying/) — Descriptive and Empirical Approaches to Capturing Underlying Dependencies among Parsing Errors - [mtrans/mccord-1989-design-lmt-prolog-based-machine](https://md.mova.elamur.ai/free/en/docs/papers/mccord-1989-design-lmt-prolog-based-machine/) — Design of LMT: A Prolog-Based Machine Translation System - [mtrans/elder-2019-designing-symbolic-intermediate-representation-neural](https://md.mova.elamur.ai/free/en/docs/papers/elder-2019-designing-symbolic-intermediate-representation-neural/) — Designing a Symbolic Intermediate Representation for Neural Surface Realization - [en/aclbulk-2009-korkontzelos-detecting-compositionality-multi-word-expressions](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2009-korkontzelos-detecting-compositionality-multi-word-expressions/) — Detecting Compositionality in Multi-Word Expressions - [hbo/aclbulk-2024-mcgovern-detecting-narrative-patterns-biblical-hebrew](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2024-mcgovern-detecting-narrative-patterns-biblical-hebrew/) — Detecting Narrative Patterns in Biblical Hebrew and Greek - [en/joshi-2017-detecting-sarcasm-different-forms-incongruity](https://md.mova.elamur.ai/free/en/docs/papers/joshi-2017-detecting-sarcasm-different-forms-incongruity/) — Detecting Sarcasm Using Different Forms Of Incongruity - [en/merrill-2019-detecting-syntactic-change-neural-part](https://md.mova.elamur.ai/free/en/docs/papers/merrill-2019-detecting-syntactic-change-neural-part/) — Detecting Syntactic Change Using a Neural Part-of-Speech Tagger - [en/aclbulk-2016-mcshane-detection-resolution-verb-phrase-ellipsis](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2016-mcshane-detection-resolution-verb-phrase-ellipsis/) — Detection and Resolution of Verb Phrase Ellipsis - [he/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 - [en/hockey-1994-determining-determiner-sequencing-syntactic-analysis](https://md.mova.elamur.ai/free/en/docs/papers/hockey-1994-determining-determiner-sequencing-syntactic-analysis/) — Determining Determiner Sequencing: A Syntactic Analysis for English - [lee-2013-deterministic-coreference-resolution-based-entity](https://md.mova.elamur.ai/free/en/docs/papers/lee-2013-deterministic-coreference-resolution-based-entity/) — Deterministic Coreference Resolution Based on Entity-Centric, Precision-Ranked Rules - [en/aclbulk-2004-nivre-deterministic-dependency-parsing-english-text](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2004-nivre-deterministic-dependency-parsing-english-text/) — Deterministic Dependency Parsing of English Text - [mtrans/butler-2016-deterministic-natural-language-generation-meaning](https://md.mova.elamur.ai/free/en/docs/papers/butler-2016-deterministic-natural-language-generation-meaning/) — Deterministic natural language generation from meaning representations for machine translation - [en/roque-2020-developing-corpus-indirect-speech-act](https://md.mova.elamur.ai/free/en/docs/papers/roque-2020-developing-corpus-indirect-speech-act/) — Developing a Corpus of Indirect Speech Act Schemas - [sem/bank-2004-maamouri-developing-arabic-treebank-methods-guidelines](https://md.mova.elamur.ai/free/en/docs/papers/bank-2004-maamouri-developing-arabic-treebank-methods-guidelines/) — Developing an Arabic Treebank: Methods, Guidelines, Procedures, and Tools - [mtrans/virk-2014-developing-interlingual-translation-lexicon-wordnets](https://md.mova.elamur.ai/free/en/docs/papers/virk-2014-developing-interlingual-translation-lexicon-wordnets/) — Developing an interlingual translation lexicon using WordNets and Grammatical Framework - [en/alves-2025-diachronic-analysis-phrasal-verbs-english](https://md.mova.elamur.ai/free/en/docs/papers/alves-2025-diachronic-analysis-phrasal-verbs-english/) — Diachronic Analysis of Phrasal Verbs in English Scientific Writing - [en/stajner-2012-diachronic-changes-text-complexity-20th](https://md.mova.elamur.ai/free/en/docs/papers/stajner-2012-diachronic-changes-text-complexity-20th/) — Diachronic Changes in Text Complexity in 20th Century English Language: An NLP Approach - [en/sukhareva-2014-diachronic-proximity-vs-data-sparsity](https://md.mova.elamur.ai/free/en/docs/papers/sukhareva-2014-diachronic-proximity-vs-data-sparsity/) — Diachronic proximity vs. data sparsity in cross-lingual parser projection. A case study on Germanic - [hbo/hbo-2014-berman-diachronic-study-hebrew-bible-field](https://md.mova.elamur.ai/free/en/docs/papers/hbo-2014-berman-diachronic-study-hebrew-bible-field/) — Diachronic Study of the Hebrew Bible: A Field in Crisis - [sem/bank-2008-maamouri-diacritic-annotation-arabic-treebank-its](https://md.mova.elamur.ai/free/en/docs/papers/bank-2008-maamouri-diacritic-annotation-arabic-treebank-its/) — Diacritic Annotation in the Arabic Treebank and its Impact on Parser Evaluation - [en/prag-2000-stolcke-dialogue-act-modeling-automatic-tagging](https://md.mova.elamur.ai/free/en/docs/papers/prag-2000-stolcke-dialogue-act-modeling-automatic-tagging/) — Dialogue Act Modeling for Automatic Tagging and Recognition of Conversational Speech - [en/enprag-2000-eckert-dialogue-acts-synchronizing-units-anaphora](https://md.mova.elamur.ai/free/en/docs/papers/enprag-2000-eckert-dialogue-acts-synchronizing-units-anaphora/) — Dialogue Acts, Synchronizing Units, and Anaphora Resolution - [he/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 - [he/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 - [mtrans/benjamin-1923-die-aufgabe-des-ubersetzers](https://md.mova.elamur.ai/free/en/docs/papers/benjamin-1923-die-aufgabe-des-ubersetzers/) — Die Aufgabe des Übersetzers (The Task of the Translator) - [en/aclbulk-2016-zeldes-different-flavors-gum-evaluating-genre](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2016-zeldes-different-flavors-gum-evaluating-genre/) — Different Flavors of GUM: Evaluating Genre and Sentence Type Effects on Multilayer Corpus Annotation Quality - [he/lingbulk-2021-hacohen-differential-object-marking-modern-hebrew](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2021-hacohen-differential-object-marking-modern-hebrew/) — Differential Object Marking in Modern Hebrew: Definiteness and partitivity - [hbo/hbo-2019-miller-naude-differentiating-dislocations-topicalisation-extraposition-biblical](https://md.mova.elamur.ai/free/en/docs/papers/hbo-2019-miller-naude-differentiating-dislocations-topicalisation-extraposition-biblical/) — Differentiating dislocations, topicalisation, and extraposition in Biblical Hebrew: Evidence from negation - [en/aclbulk-2004-patrick-differentiating-types-verb-particle-constructions](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2004-patrick-differentiating-types-verb-particle-constructions/) — Differentiating Types of Verb Particle Constructions - [en/ud-2023-levine-difficulties-handling-mathematical-expressions-universal](https://md.mova.elamur.ai/free/en/docs/papers/ud-2023-levine-difficulties-handling-mathematical-expressions-universal/) — Difficulties in Handling Mathematical Expressions in Universal Dependencies - [en/aclbulk-2005-flickinger-dimensions-deep-grammar-validation](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2005-flickinger-dimensions-deep-grammar-validation/) — Dimensions of Deep Grammar Validation - [en/scholman-2022-discogem-crowdsourced-corpus-genre-mixed](https://md.mova.elamur.ai/free/en/docs/papers/scholman-2022-discogem-crowdsourced-corpus-genre-mixed/) — DiscoGeM: A Crowdsourced Corpus of Genre-Mixed Implicit Discourse Relations - [en/ko-2023-discourse-analysis-questions-answers-parsing](https://md.mova.elamur.ai/free/en/docs/papers/ko-2023-discourse-analysis-questions-answers-parsing/) — Discourse Analysis via Questions and Answers: Parsing Dependency Structures of Questions Under Discussion - [en/prasad-2018-discourse-annotation-pdtb-next-generation](https://md.mova.elamur.ai/free/en/docs/papers/prasad-2018-discourse-annotation-pdtb-next-generation/) — Discourse Annotation in the PDTB: The Next Generation - [en/crible-2017-discourse-markers-speech-distinctive-features](https://md.mova.elamur.ai/free/en/docs/papers/crible-2017-discourse-markers-speech-distinctive-features/) — Discourse Markers in Speech: Distinctive Features and Corpus Annotation - [en/kemenade-2020-discourse-particles-early-english-clause](https://md.mova.elamur.ai/free/en/docs/papers/kemenade-2020-discourse-particles-early-english-clause/) — Discourse particles in early English: Clause structure, pragmatics and discourse management - [en/webber-1999-discourse-relations-structural-presuppositional-account](https://md.mova.elamur.ai/free/en/docs/papers/webber-1999-discourse-relations-structural-presuppositional-account/) — Discourse Relations: A Structural and Presuppositional Account Using Lexicalised TAG - [en/asher-2016-discourse-structure-dialogue-acts-multiparty](https://md.mova.elamur.ai/free/en/docs/papers/asher-2016-discourse-structure-dialogue-acts-multiparty/) — Discourse Structure and Dialogue Acts in Multiparty Dialogue: the STAC Corpus - [en/bloom-2025-discourse-structure-narration-diachronic](https://md.mova.elamur.ai/free/en/docs/papers/bloom-2025-discourse-structure-narration-diachronic/) — Discourse structure and narration: A diachronic view from Germanic - [hbo/hbo-2006-longacre-discourse-structure-verb-forms-archaism](https://md.mova.elamur.ai/free/en/docs/papers/hbo-2006-longacre-discourse-structure-verb-forms-archaism/) — Discourse Structure, Verb Forms, and Archaism in Psalm 18 - [en/lingbulk-2006-oepen-discriminant-based-mrs-banking](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2006-oepen-discriminant-based-mrs-banking/) — Discriminant-Based MRS Banking - [collins-2000-discriminative-reranking-natural-language-parsing](https://md.mova.elamur.ai/free/en/docs/papers/collins-2000-discriminative-reranking-natural-language-parsing/) — Discriminative Reranking for Natural Language Parsing - [collins-2002-discriminative-training-methods-hidden-markov](https://md.mova.elamur.ai/free/en/docs/papers/collins-2002-discriminative-training-methods-hidden-markov/) — Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms - [en/sanagavarapu-2022-disentangling-indirect-answers-yes-no](https://md.mova.elamur.ai/free/en/docs/papers/sanagavarapu-2022-disentangling-indirect-answers-yes-no/) — Disentangling Indirect Answers to Yes-No Questions in Real Conversations - [en/niklaus-2019-dissim-discourse-aware-syntactic-text](https://md.mova.elamur.ai/free/en/docs/papers/niklaus-2019-dissim-discourse-aware-syntactic-text/) — DisSim: A Discourse-Aware Syntactic Text Simplification Framework for English and German - [hbo/hbo-2022-mangum-bashal-hepso-really-mean-boil](https://md.mova.elamur.ai/free/en/docs/papers/hbo-2022-mangum-bashal-hepso-really-mean-boil/) — Do Bashal and Hepsō really mean 'boil'? A preliminary study in the semantics of biblical Hebrew and Septuagint Greek - [sem/aclbulk-2026-inoue-do-diacritics-matter-evaluating-impact](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2026-inoue-do-diacritics-matter-evaluating-impact/) — Do Diacritics Matter? Evaluating the Impact of Arabic Diacritics on Tokenization and LLM Benchmarks - [en/lex-2025-meconi-llms-word-senses](https://md.mova.elamur.ai/free/en/docs/papers/lex-2025-meconi-llms-word-senses/) — Do Large Language Models Understand Word Senses? - [en/qamar-2025-do-llms-understand-dialogues-case](https://md.mova.elamur.ai/free/en/docs/papers/qamar-2025-do-llms-understand-dialogues-case/) — Do LLMs Understand Dialogues? A Case Study on Dialogue Acts - [hbo/eacl-2023-shmidman-do-pretrained-contextual-language-models](https://md.mova.elamur.ai/free/en/docs/papers/eacl-2023-shmidman-do-pretrained-contextual-language-models/) — Do Pretrained Contextual Language Models Distinguish between Hebrew Homograph Analyses? - [en/coref-2021-popel-do-ud-trees-match-mention](https://md.mova.elamur.ai/free/en/docs/papers/coref-2021-popel-do-ud-trees-match-mention/) — Do UD Trees Match Mention Spans in Coreference Annotations? - [mtrans/naseem-2022-docamr-multi-sentence-amr-representation](https://md.mova.elamur.ai/free/en/docs/papers/naseem-2022-docamr-multi-sentence-amr-representation/) — DocAMR: Multi-Sentence AMR Representation and Evaluation - [mtrans/beale-2005-document-authoring-bible-minority-language](https://md.mova.elamur.ai/free/en/docs/papers/beale-2005-document-authoring-bible-minority-language/) — Document Authoring the Bible for Minority Language Translation - [silveira-2015-does-universal-dependencies-need-parsing](https://md.mova.elamur.ai/free/en/docs/papers/silveira-2015-does-universal-dependencies-need-parsing/) — Does Universal Dependencies need a parsing representation? An investigation of English - [en/garimella-2021-domain-aware-dependency-parsing-questions](https://md.mova.elamur.ai/free/en/docs/papers/garimella-2021-domain-aware-dependency-parsing-questions/) — Domain-Aware Dependency Parsing for Questions - [hbo/aclbulk-2026-liebeskind-domain-aware-error-correction-citation](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2026-liebeskind-domain-aware-error-correction-citation/) — Domain-Aware Error Correction for Citation NER in Medieval Hebrew Responsa - [en/aclbulk-2011-nagy-domain-dependent-detection-light-verb](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2011-nagy-domain-dependent-detection-light-verb/) — Domain-Dependent Detection of Light Verb Constructions - [sem/aclbulk-2017-zalmout-don-t-throw-those-morphological](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2017-zalmout-don-t-throw-those-morphological/) — Don't Throw Those Morphological Analyzers Away Just Yet: Neural Morphological Disambiguation for Arabic - [en/dua-2019-drop-reading-comprehension-benchmark-requiring](https://md.mova.elamur.ai/free/en/docs/papers/dua-2019-drop-reading-comprehension-benchmark-requiring/) — DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs - [mtrans/abzianidze-2020-drs-mrp-2020-dressing-up](https://md.mova.elamur.ai/free/en/docs/papers/abzianidze-2020-drs-mrp-2020-dressing-up/) — DRS at MRP 2020: Dressing up Discourse Representation Structures as Graphs - [mtrans/mccaffery-2016-dted-evaluation-machine-translation-structure](https://md.mova.elamur.ai/free/en/docs/papers/mccaffery-2016-dted-evaluation-machine-translation-structure/) — DTED: Evaluation of Machine Translation Structure Using Dependency Parsing and Tree Edit Distance - [en/durrett-2013-easy-victories-uphill-battles-coreference](https://md.mova.elamur.ai/free/en/docs/papers/durrett-2013-easy-victories-uphill-battles-coreference/) — Easy Victories and Uphill Battles in Coreference Resolution - [he/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 - [he/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 - [en/hara-2009-effective-analysis-causes-inter-dependencies](https://md.mova.elamur.ai/free/en/docs/papers/hara-2009-effective-analysis-causes-inter-dependencies/) — Effective Analysis of Causes and Inter-dependencies of Parsing Errors - [en/aclbulk-2006-mcclosky-effective-self-training-parsing](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2006-mcclosky-effective-self-training-parsing/) — Effective Self-Training for Parsing - [mtrans/wu-2011-effective-use-function-words-rule](https://md.mova.elamur.ai/free/en/docs/papers/wu-2011-effective-use-function-words-rule/) — Effective Use of Function Words for Rule Generalization in Forest-Based Translation - [en/acl-2020-zhang-efficient-second-order-treecrf-neural](https://md.mova.elamur.ai/free/en/docs/papers/acl-2020-zhang-efficient-second-order-treecrf-neural/) — Efficient Second-Order TreeCRF for Neural Dependency Parsing - [mtrans/humboldt-1816-einleitung-zu-aeschylos-agamemnon](https://md.mova.elamur.ai/free/en/docs/papers/humboldt-1816-einleitung-zu-aeschylos-agamemnon/) — Einleitung zu Aeschylos Agamemnon metrisch übersetzt (Introduction to the verse translation of Aeschylus' Agamemnon) - [en/wu-2023-elaborative-simplification-as-implicit-questions](https://md.mova.elamur.ai/free/en/docs/papers/wu-2023-elaborative-simplification-as-implicit-questions/) — Elaborative Simplification as Implicit Questions Under Discussion - [sem/aclbulk-2007-smrz-elixirfm-implementation-functional-arabic-morphology](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2007-smrz-elixirfm-implementation-functional-arabic-morphology/) — ElixirFM – Implementation of Functional Arabic Morphology - [en/eacl-2021-aralikatte-ellipsis-resolution-as-question-answering](https://md.mova.elamur.ai/free/en/docs/papers/eacl-2021-aralikatte-ellipsis-resolution-as-question-answering/) — Ellipsis Resolution as Question Answering: An Evaluation - [hbo/aclbulk-2024-fono-embible-reconstruction-ancient-hebrew-aramaic](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2024-fono-embible-reconstruction-ancient-hebrew-aramaic/) — Embible: Reconstruction of Ancient Hebrew and Aramaic Texts Using Transformers - 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