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[en/werner-2015-committed-belief-tagging-factbank-lu](https://md.mova.elamur.ai/free/en/docs/papers/werner-2015-committed-belief-tagging-factbank-lu/) — Committed Belief Tagging on the Factbank and LU Corpora: A Comparative Study - [en/zhao-2025-comparing-human-llm-politeness-strategies](https://md.mova.elamur.ai/free/en/docs/papers/zhao-2025-comparing-human-llm-politeness-strategies/) — Comparing human and LLM politeness strategies in free production - [sem/aclbulk-2020-seyoum-comparing-neural-network-parsers-less](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2020-seyoum-comparing-neural-network-parsers-less/) — Comparing Neural Network Parsers for a Less-resourced and Morphologically-rich Language: Amharic Dependency Parser - [en/han-2020-comparing-ptb-ud-information-pdtb](https://md.mova.elamur.ai/free/en/docs/papers/han-2020-comparing-ptb-ud-information-pdtb/) — Comparing PTB and UD information for PDTB discourse connective identification - [en/schneider-2017-comparing-rule-based-smt-based](https://md.mova.elamur.ai/free/en/docs/papers/schneider-2017-comparing-rule-based-smt-based/) — Comparing Rule-based and SMT-based Spelling Normalisation for English Historical Texts - [en/bakay-2019-comparing-sense-categorization-between-english](https://md.mova.elamur.ai/free/en/docs/papers/bakay-2019-comparing-sense-categorization-between-english/) — Comparing Sense Categorization Between English PropBank and English WordNet - [mtrans/hershcovich-2020-comparison-conversion-reverse-engineering-ucca](https://md.mova.elamur.ai/free/en/docs/papers/hershcovich-2020-comparison-conversion-reverse-engineering-ucca/) — Comparison by Conversion: Reverse-Engineering UCCA from Syntax and Lexical Semantics - [en/chen-2026-completing-validating-re-aligned-switchboard](https://md.mova.elamur.ai/free/en/docs/papers/chen-2026-completing-validating-re-aligned-switchboard/) — Completing and Validating the Re-Aligned Switchboard Dialog Act Corpus - [en/bonial-2016-comprehensive-consistent-propbank-light-verb](https://md.mova.elamur.ai/free/en/docs/papers/bonial-2016-comprehensive-consistent-propbank-light-verb/) — Comprehensive and Consistent PropBank Light Verb Annotation - [en/lingbulk-2014-schneider-comprehensive-annotation-multiword-expressions-social](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2014-schneider-comprehensive-annotation-multiword-expressions-social/) — Comprehensive Annotation of Multiword Expressions in a Social Web Corpus - [en/dale-1995-computational-interpretations-gricean-maxims-generation](https://md.mova.elamur.ai/free/en/docs/papers/dale-1995-computational-interpretations-gricean-maxims-generation/) — Computational Interpretations of the Gricean Maxims in the Generation of Referring Expressions - [hbo/aclbulk-2024-shmidman-computational-methods-analysis-complementizer-variability](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2024-shmidman-computational-methods-analysis-complementizer-variability/) — Computational Methods for the Analysis of Complementizer Variability in Language and Literature: The Case of Hebrew "she-" and "ki" - [sem/aclbulk-2024-khairallah-computational-morphology-lexicography-modeling-modern](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2024-khairallah-computational-morphology-lexicography-modeling-modern/) — Computational Morphology and Lexicography Modeling of Modern Standard Arabic Nominals - [en/mann-1981-computer-generation-multiparagraph-english-text](https://md.mova.elamur.ai/free/en/docs/papers/mann-1981-computer-generation-multiparagraph-english-text/) — Computer Generation of Multiparagraph English Text - [en/lingbulk-2006-nairn-computing-relative-polarity-textual-inference](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2006-nairn-computing-relative-polarity-textual-inference/) — Computing relative polarity for textual inference - [en/schutzler-2023-concessive-constructions-varieties-english](https://md.mova.elamur.ai/free/en/docs/papers/schutzler-2023-concessive-constructions-varieties-english/) — Concessive constructions in varieties of English - [sem/lingbulk-2019-winchester-concord-agreement-features-modern-standard](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2019-winchester-concord-agreement-features-modern-standard/) — Concord and agreement features in Modern Standard Arabic - [hbo/hbo-1999-rendsburg-confused-language-deliberate-literary-device](https://md.mova.elamur.ai/free/en/docs/papers/hbo-1999-rendsburg-confused-language-deliberate-literary-device/) — Confused Language as a Deliberate Literary Device in Biblical Hebrew Narrative - [przepiorkowski-2023-conjunct-lengths-english-dependency-length](https://md.mova.elamur.ai/free/en/docs/papers/przepiorkowski-2023-conjunct-lengths-english-dependency-length/) — Conjunct Lengths in English, Dependency Length Minimization, and Dependency Structure of Coordination - [en/xue-2016-conll-2016-shared-task-multilingual](https://md.mova.elamur.ai/free/en/docs/papers/xue-2016-conll-2016-shared-task-multilingual/) — CoNLL 2016 Shared Task on Multilingual Shallow Discourse Parsing - [en/ud-2017-zeman-conll-2017-shared-task-multilingual](https://md.mova.elamur.ai/free/en/docs/papers/ud-2017-zeman-conll-2017-shared-task-multilingual/) — CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies - [en/ud-2018-zeman-conll-2018-shared-task-multilingual](https://md.mova.elamur.ai/free/en/docs/papers/ud-2018-zeman-conll-2018-shared-task-multilingual/) — CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies - [en/pradhan-2011-conll-2011-shared-task-modeling](https://md.mova.elamur.ai/free/en/docs/papers/pradhan-2011-conll-2011-shared-task-modeling/) — CoNLL-2011 Shared Task: Modeling Unrestricted Coreference in OntoNotes - [en/pradhan-2012-conll-2012-shared-task-modeling](https://md.mova.elamur.ai/free/en/docs/papers/pradhan-2012-conll-2012-shared-task-modeling/) — CoNLL-2012 Shared Task: Modeling Multilingual Unrestricted Coreference in OntoNotes - [en/parsers-2006-buchholz-conll-x-shared-task-multilingual](https://md.mova.elamur.ai/free/en/docs/papers/parsers-2006-buchholz-conll-x-shared-task-multilingual/) — CoNLL-X Shared Task on Multilingual Dependency Parsing - [en/fernald-1904-connectives-english-speech-correct](https://md.mova.elamur.ai/free/en/docs/papers/fernald-1904-connectives-english-speech-correct/) — Connectives of English Speech: the Correct Usage of Prepositions, Conjunctions, Relative Pronouns and Adverbs - [hbo/aclbulk-2019-kishky-constrained-sequence-sequence-semitic-root](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2019-kishky-constrained-sequence-sequence-semitic-root/) — Constrained Sequence-to-sequence Semitic Root Extraction for Enriching Word Embeddings - [en/rosenbach-2017-constraints-contact-animacy-english-afrikaans](https://md.mova.elamur.ai/free/en/docs/papers/rosenbach-2017-constraints-contact-animacy-english-afrikaans/) — Constraints in contact: Animacy in English and Afrikaans genitive variation – a cross-linguistic perspective - [sem/aclbulk-2008-gabbard-construct-state-modification-arabic-treebank](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2008-gabbard-construct-state-modification-arabic-treebank/) — Construct State Modification in the Arabic Treebank - [en/das-2018-constructing-lexicon-english-discourse-connectives](https://md.mova.elamur.ai/free/en/docs/papers/das-2018-constructing-lexicon-english-discourse-connectives/) — Constructing a Lexicon of English Discourse Connectives - [hbo/aclbulk-2018-giovannetti-constructing-annotated-resource-part-speech](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2018-giovannetti-constructing-annotated-resource-part-speech/) — Constructing an Annotated Resource for Part-Of-Speech Tagging of Mishnaic Hebrew - [en/gram-2016-kato-construction-english-dependency-corpus-incorporating](https://md.mova.elamur.ai/free/en/docs/papers/gram-2016-kato-construction-english-dependency-corpus-incorporating/) — Construction of an English Dependency Corpus incorporating Compound Function Words - [en/shigeto-2013-construction-english-mwe-dictionary-its](https://md.mova.elamur.ai/free/en/docs/papers/shigeto-2013-construction-english-mwe-dictionary-its/) — Construction of English MWE Dictionary and its Application to POS Tagging - [hbo/lingbulk-2026-setiawan-context-volume-drives-performance-tackling](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2026-setiawan-context-volume-drives-performance-tackling/) — Context Volume Drives Performance: Tackling Domain Shift in Extremely Low-Resource Translation via RAG - [en/aljanaideh-2020-contextualized-embeddings-enriching-linguistic-analyses](https://md.mova.elamur.ai/free/en/docs/papers/aljanaideh-2020-contextualized-embeddings-enriching-linguistic-analyses/) — Contextualized Embeddings for Enriching Linguistic Analyses on Politeness - [en/osborne-2017-control-vs-raising-english-dependency](https://md.mova.elamur.ai/free/en/docs/papers/osborne-2017-control-vs-raising-english-dependency/) — Control vs. Raising in English. A Dependency Grammar Account - [en/roit-2020-controlled-crowdsourcing-high-quality-qa](https://md.mova.elamur.ai/free/en/docs/papers/roit-2020-controlled-crowdsourcing-high-quality-qa/) — Controlled Crowdsourcing for High-Quality QA-SRL Annotation - [mtrans/mitamura-1995-controlled-english-knowledge-based-mt](https://md.mova.elamur.ai/free/en/docs/papers/mitamura-1995-controlled-english-knowledge-based-mt/) — Controlled English for Knowledge-Based MT: Experience with the KANT System - [sem/aclbulk-2019-vertan-controlled-semi-automatic-annotation-classical](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2019-vertan-controlled-semi-automatic-annotation-classical/) — Controlled Semi-automatic Annotation of Classical Ethiopic - [en/stoyanov-2009-conundrums-noun-phrase-coreference-resolution](https://md.mova.elamur.ai/free/en/docs/papers/stoyanov-2009-conundrums-noun-phrase-coreference-resolution/) — Conundrums in Noun Phrase Coreference Resolution: Making Sense of the State-of-the-Art - [en/george-2019-conversational-implicatures-english-dialogue-annotated](https://md.mova.elamur.ai/free/en/docs/papers/george-2019-conversational-implicatures-english-dialogue-annotated/) — Conversational implicatures in English dialogue: Annotated dataset - [sem/aclbulk-2012-hulden-conversion-procedural-morphologies-finite-state](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2012-hulden-conversion-procedural-morphologies-finite-state/) — Conversion of Procedural Morphologies to Finite-State Morphologies: A Case Study of Arabic - [en/ud-2015-ahrenberg-converting-english-swedish-parallel-treebank](https://md.mova.elamur.ai/free/en/docs/papers/ud-2015-ahrenberg-converting-english-swedish-parallel-treebank/) — Converting an English-Swedish Parallel Treebank to Universal Dependencies - [grunewald-2021-coordinate-constructions-english-enhanced-universal](https://md.mova.elamur.ai/free/en/docs/papers/grunewald-2021-coordinate-constructions-english-enhanced-universal/) — Coordinate Constructions in English Enhanced Universal Dependencies: Analysis and Computational Modeling - [en/lasersohn-2026-coordination-unmatched-clause-types-dynamic](https://md.mova.elamur.ai/free/en/docs/papers/lasersohn-2026-coordination-unmatched-clause-types-dynamic/) — Coordination of unmatched clause types and dynamic look-ahead - [en/aclbulk-2013-popel-coordination-structures-dependency-treebanks](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2013-popel-coordination-structures-dependency-treebanks/) — Coordination Structures in Dependency Treebanks - [en/nedoluzhko-2021-coreference-meets-universal-dependencies](https://md.mova.elamur.ai/free/en/docs/papers/nedoluzhko-2021-coreference-meets-universal-dependencies/) — Coreference meets Universal Dependencies – a pilot experiment on harmonizing coreference datasets for 11 languages - [en/recasens-2010-coreference-resolution-across-corpora-languages](https://md.mova.elamur.ai/free/en/docs/papers/recasens-2010-coreference-resolution-across-corpora-languages/) — Coreference Resolution across Corpora: Languages, Coding Schemes, and Preprocessing Information - [nedoluzhko-2022-corefud-1-0-coreference-meets](https://md.mova.elamur.ai/free/en/docs/papers/nedoluzhko-2022-corefud-1-0-coreference-meets/) — CorefUD 1.0: Coreference Meets Universal Dependencies - [en/enud-1999-carroll-corpus-annotation-parser-evaluation](https://md.mova.elamur.ai/free/en/docs/papers/enud-1999-carroll-corpus-annotation-parser-evaluation/) — Corpus Annotation for Parser Evaluation - [en/lex-2004-hanks-corpus-pattern-analysis](https://md.mova.elamur.ai/free/en/docs/papers/lex-2004-hanks-corpus-pattern-analysis/) — Corpus Pattern Analysis - [en/aclbulk-1995-lauer-corpus-statistics-meet-noun-compound](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-1995-lauer-corpus-statistics-meet-noun-compound/) — Corpus Statistics Meet the Noun Compound: Some Empirical Results - [en/aclbulk-2001-gildea-corpus-variation-parser-performance](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2001-gildea-corpus-variation-parser-performance/) — Corpus Variation and Parser Performance - [he/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 - [hbo/hbo-2017-kofoed-corpus-driven-visualization-textual-worlds](https://md.mova.elamur.ai/free/en/docs/papers/hbo-2017-kofoed-corpus-driven-visualization-textual-worlds/) — Corpus-Driven Visualization of Textual Worlds - [hbo/hbo-2017-winther-nielsen-corpus-driven-visualization-learning-linguistics](https://md.mova.elamur.ai/free/en/docs/papers/hbo-2017-winther-nielsen-corpus-driven-visualization-learning-linguistics/) — Corpus-driven visualization, learning and linguistics - [dickinson-2009-correcting-dependency-annotation-errors](https://md.mova.elamur.ai/free/en/docs/papers/dickinson-2009-correcting-dependency-annotation-errors/) — Correcting Dependency Annotation Errors - [en/huang-2019-cosmos-qa-machine-reading-comprehension](https://md.mova.elamur.ai/free/en/docs/papers/huang-2019-cosmos-qa-machine-reading-comprehension/) — Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning - [en/lex-2023-weissweiler-chatgpt-wugs-morphology](https://md.mova.elamur.ai/free/en/docs/papers/lex-2023-weissweiler-chatgpt-wugs-morphology/) — Counting the Bugs in ChatGPT's Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language Model - [hbo/hbo-2021-campbell-counting-jeremiahs-machine-learning-jeremiah](https://md.mova.elamur.ai/free/en/docs/papers/hbo-2021-campbell-counting-jeremiahs-machine-learning-jeremiah/) — Counting the Jeremiahs: Machine Learning and the Jeremiah Narratives - [mtrans/wu-2018-creating-translation-matrix-bible-s](https://md.mova.elamur.ai/free/en/docs/papers/wu-2018-creating-translation-matrix-bible-s/) — Creating a Translation Matrix of the Bible's Names Across 591 Languages - [mtrans/boguslavsky-2000-creating-universal-networking-language-module](https://md.mova.elamur.ai/free/en/docs/papers/boguslavsky-2000-creating-universal-networking-language-module/) — Creating a Universal Networking Language Module within an Advanced NLP System - [en/oraby-2016-creating-characterizing-diverse-corpus-sarcasm](https://md.mova.elamur.ai/free/en/docs/papers/oraby-2016-creating-characterizing-diverse-corpus-sarcasm/) — Creating and Characterizing a Diverse Corpus of Sarcasm in Dialogue - [hbo/lingbulk-2016-klimek-creating-linked-data-morphological-language](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2016-klimek-creating-linked-data-morphological-language/) — Creating Linked Data Morphological Language Resources with MMoOn - The Hebrew Morpheme Inventory - [he/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 - [en/yu-2023-crepe-open-domain-question-answering](https://md.mova.elamur.ai/free/en/docs/papers/yu-2023-crepe-open-domain-question-answering/) — CREPE: Open-Domain Question Answering with False Presuppositions - [hbo/hbo-2024-faigenbaum-golovin-critical-biblical-studies-word-frequency](https://md.mova.elamur.ai/free/en/docs/papers/hbo-2024-faigenbaum-golovin-critical-biblical-studies-word-frequency/) — Critical biblical studies via word frequency analysis: unveiling text authorship - [en/eggleston-2022-cross-dialect-social-media-dependency](https://md.mova.elamur.ai/free/en/docs/papers/eggleston-2022-cross-dialect-social-media-dependency/) — Cross-Dialect Social Media Dependency Parsing for Social Scientific Entity Attribute Analysis - [en/acl-2019-fried-cross-domain-generalization-neural-constituency](https://md.mova.elamur.ai/free/en/docs/papers/acl-2019-fried-cross-domain-generalization-neural-constituency/) — Cross-Domain Generalization of Neural Constituency Parsers - [en/aclbulk-2025-miani-cross-genre-learning-old-english](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2025-miani-cross-genre-learning-old-english/) — Cross-Genre Learning for Old English Poetry POS Tagging - [en/miani-2026-cross-lingual-cross-domain-transfer](https://md.mova.elamur.ai/free/en/docs/papers/miani-2026-cross-lingual-cross-domain-transfer/) — Cross-Lingual and Cross-Domain Transfer Learning for POS Tagging in Historical Germanic Low-Resource Languages - [mtrans/abend-2020-cross-lingual-semantic-representation-nlp](https://md.mova.elamur.ai/free/en/docs/papers/abend-2020-cross-lingual-semantic-representation-nlp/) — Cross-lingual Semantic Representation for NLP with UCCA - [en/theune-2010-cross-linguistic-attribute-selection-reg](https://md.mova.elamur.ai/free/en/docs/papers/theune-2010-cross-linguistic-attribute-selection-reg/) — Cross-linguistic Attribute Selection for REG: Comparing Dutch and English - [he/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 - [mtrans/czulo-2017-crossroads-between-contrastive-linguistics](https://md.mova.elamur.ai/free/en/docs/papers/czulo-2017-crossroads-between-contrastive-linguistics/) — Crossroads between contrastive linguistics, translation studies and machine translation: TC3-II - [en/ulinski-2019-crowdsourced-hedge-term-disambiguation](https://md.mova.elamur.ai/free/en/docs/papers/ulinski-2019-crowdsourced-hedge-term-disambiguation/) — Crowdsourced Hedge Term Disambiguation - [en/michael-2018-crowdsourcing-question-answer-meaning-representations](https://md.mova.elamur.ai/free/en/docs/papers/michael-2018-crowdsourcing-question-answer-meaning-representations/) — Crowdsourcing Question-Answer Meaning Representations - [hbo/hbo-2019-rezetko-currents-historical-linguistics-linguistic-dating](https://md.mova.elamur.ai/free/en/docs/papers/hbo-2019-rezetko-currents-historical-linguistics-linguistic-dating/) — Currents in the Historical Linguistics and Linguistic Dating of the Hebrew Bible: Report on the State of Research as Reflected in Recent Major Publications - [bengio-2009-curriculum-learning](https://md.mova.elamur.ai/free/en/docs/papers/bengio-2009-curriculum-learning/) — Curriculum Learning - [anantheswaran-2024-cutting-through-noise-boosting-llm](https://md.mova.elamur.ai/free/en/docs/papers/anantheswaran-2024-cutting-through-noise-boosting-llm/) — Cutting Through the Noise: Boosting LLM Performance on Math Word Problems - [mtrans/cmejrek-2003-czech-english-dependency-tree-based](https://md.mova.elamur.ai/free/en/docs/papers/cmejrek-2003-czech-english-dependency-tree-based/) — Czech-English Dependency Tree-based Machine Translation - 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