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# papers/all/

1731 pages

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- [mtrans/vilar-2006-error-analysis-statistical-machine-translation](https://md.mova.elamur.ai/free/en/docs/papers/vilar-2006-error-analysis-statistical-machine-translation/) — Error Analysis of Statistical Machine Translation Output
- [en/kummerfeld-2013-error-driven-analysis-challenges-coreference](https://md.mova.elamur.ai/free/en/docs/papers/kummerfeld-2013-error-driven-analysis-challenges-coreference/) — Error-Driven Analysis of Challenges in Coreference Resolution
- [en/zeldes-2025-erst-signaled-graph-theory-discourse](https://md.mova.elamur.ai/free/en/docs/papers/zeldes-2025-erst-signaled-graph-theory-discourse/) — eRST: A Signaled Graph Theory of Discourse Relations and Organization
- [mtrans/tytler-1791-essay-principles-translation](https://md.mova.elamur.ai/free/en/docs/papers/tytler-1791-essay-principles-translation/) — Essay on the Principles of Translation
- [mtrans/dryden-1900-essays-john-dryden](https://md.mova.elamur.ai/free/en/docs/papers/dryden-1900-essays-john-dryden/) — Essays of John Dryden (ed. W. P. Ker): the Preface to Ovid's Epistles (1680) and the Dedication of the Aeneis (1697)
- [whitney-1877-essentials-english-grammar-use](https://md.mova.elamur.ai/free/en/docs/papers/whitney-1877-essentials-english-grammar-use/) — Essentials of English Grammar for the Use of Schools
- [aggarwal-2020-estimating-pos-annotation-consistency-different](https://md.mova.elamur.ai/free/en/docs/papers/aggarwal-2020-estimating-pos-annotation-consistency-different/) — Estimating POS Annotation Consistency of Different Treebanks in a Language
- [en/lex-2024-gao-etymolink-english](https://md.mova.elamur.ai/free/en/docs/papers/lex-2024-gao-etymolink-english/) — EtymoLink: A Structured English Etymology Dataset
- [en/lex-2014-demelo-etymological-wordnet](https://md.mova.elamur.ai/free/en/docs/papers/lex-2014-demelo-etymological-wordnet/) — Etymological Wordnet: Tracing The History of Words
- [mtrans/maegaard-1995-eurotra-history-results](https://md.mova.elamur.ai/free/en/docs/papers/maegaard-1995-eurotra-history-results/) — Eurotra, history and results
- [mtrans/arnold-1991-eurotra-assessment-current-state-ec](https://md.mova.elamur.ai/free/en/docs/papers/arnold-1991-eurotra-assessment-current-state-ec/) — EUROTRA: an assessment of the current state of the EC's MT programme
- [sem/aclbulk-2025-gordin-evacun-2025-shared-task-lemmatization](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2025-gordin-evacun-2025-shared-task-lemmatization/) — EvaCun 2025 Shared Task: Lemmatization and Token Prediction in Akkadian and Sumerian using LLMs
- [en/aclbulk-2009-honnibal-evaluating-statistical-ccg-parser-wikipedia](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2009-honnibal-evaluating-statistical-ccg-parser-wikipedia/) — Evaluating a Statistical CCG Parser on Wikipedia
- [en/zheng-2020-evaluating-enhancing-robustness-neural-network](https://md.mova.elamur.ai/free/en/docs/papers/zheng-2020-evaluating-enhancing-robustness-neural-network/) — Evaluating and Enhancing the Robustness of Neural Network-based Dependency Parsing Models with Adversarial Examples
- [en/aclbulk-2011-tsarfaty-evaluating-dependency-parsing-robust-heuristics](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2011-tsarfaty-evaluating-dependency-parsing-robust-heuristics/) — Evaluating Dependency Parsing: Robust and Heuristics-Free Cross-Annotation Evaluation
- [mtrans/robertson-2018-evaluating-historical-text-normalization-systems](https://md.mova.elamur.ai/free/en/docs/papers/robertson-2018-evaluating-historical-text-normalization-systems/) — Evaluating Historical Text Normalization Systems: How Well Do They Generalize?
- [en/aclbulk-2016-bollmann-evaluating-inter-annotator-agreement-historical](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2016-bollmann-evaluating-inter-annotator-agreement-historical/) — Evaluating Inter-Annotator Agreement on Historical Spelling Normalization
- [machado-2024-evaluating-large-language-models-tasks](https://md.mova.elamur.ai/free/en/docs/papers/machado-2024-evaluating-large-language-models-tasks/) — Evaluating large language models for the tasks of PoS tagging within the Universal Dependency framework
- [arc/lingbulk-2014-black-evaluating-lemmatization-models-machine-assisted](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2014-black-evaluating-lemmatization-models-machine-assisted/) — Evaluating Lemmatization Models for Machine-Assisted Corpus-Dictionary Linkage
- [gardner-2020-evaluating-models-local-decision-boundaries](https://md.mova.elamur.ai/free/en/docs/papers/gardner-2020-evaluating-models-local-decision-boundaries/) — Evaluating Models' Local Decision Boundaries via Contrast Sets
- [mtrans/carlson-2017-evaluating-prose-style-transfer-bible](https://md.mova.elamur.ai/free/en/docs/papers/carlson-2017-evaluating-prose-style-transfer-bible/) — Evaluating prose style transfer with the Bible
- [mtrans/wang-2021-evaluating-text-generation-discourse-representation](https://md.mova.elamur.ai/free/en/docs/papers/wang-2021-evaluating-text-generation-discourse-representation/) — Evaluating Text Generation from Discourse Representation Structures
- [mtrans/briakou-2021-evaluating-evaluation-metrics-style-transfer](https://md.mova.elamur.ai/free/en/docs/papers/briakou-2021-evaluating-evaluation-metrics-style-transfer/) — Evaluating the Evaluation Metrics for Style Transfer: A Case Study in Multilingual Formality Transfer
- [en/ud-2021-indurkhya-evaluating-universal-dependency-parser-recovery](https://md.mova.elamur.ai/free/en/docs/papers/ud-2021-indurkhya-evaluating-universal-dependency-parser-recovery/) — Evaluating Universal Dependency Parser Recovery of Predicate Argument Structure via CompChain Analysis
- [hbo/aclbulk-2020-stringham-evaluating-word-embeddings-low-resource](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2020-stringham-evaluating-word-embeddings-low-resource/) — Evaluating Word Embeddings on Low-Resource Languages
- [mtrans/nyberg-1994-evaluation-metrics-knowledge-based-machine](https://md.mova.elamur.ai/free/en/docs/papers/nyberg-1994-evaluation-metrics-knowledge-based-machine/) — Evaluation Metrics for Knowledge-Based Machine Translation
- [en/aclbulk-2010-nivre-evaluation-dependency-parsers-unbounded-dependencies](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2010-nivre-evaluation-dependency-parsers-unbounded-dependencies/) — Evaluation of Dependency Parsers on Unbounded Dependencies
- [en/lex-2017-liu-fst-paradigm-extraction-wiktionary](https://md.mova.elamur.ai/free/en/docs/papers/lex-2017-liu-fst-paradigm-extraction-wiktionary/) — Evaluation of Finite State Morphological Analyzers Based on Paradigm Extraction from Wiktionary
- [en/tonhauser-2020-evaluative-adjective-sentences-question-based](https://md.mova.elamur.ai/free/en/docs/papers/tonhauser-2020-evaluative-adjective-sentences-question-based/) — Evaluative adjective sentences: A question-based analysis of projection
- [en/ginzburg-2023-exclaiming-non-sententially-exclamative-sluices](https://md.mova.elamur.ai/free/en/docs/papers/ginzburg-2023-exclaiming-non-sententially-exclamative-sluices/) — Exclaiming non-sententially: exclamative sluices and the (non-elliptical) nature of ellipsis constructions
- [mtrans/nicolai-2021-expanding-jhu-bible-corpus-machine](https://md.mova.elamur.ai/free/en/docs/papers/nicolai-2021-expanding-jhu-bible-corpus-machine/) — Expanding the JHU Bible Corpus for Machine Translation of the Indigenous Languages of North America
- [sem/langstream-2026-teklehaymanot-expanding-lexicon-ge-ez-based](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2026-teklehaymanot-expanding-lexicon-ge-ez-based/) — Expanding the Lexicon of Ge'ez Based African Languages: A Comparative Study of Amharic and Tigrinya
- [hbo/ud-2025-swanson-expanding-universal-dependencies-ancient-hebrew](https://md.mova.elamur.ai/free/en/docs/papers/ud-2025-swanson-expanding-universal-dependencies-ancient-hebrew/) — Expanding the Universal Dependencies Ancient Hebrew Treebank with Constituency Data
- [en/hu-2023-expectations-over-unspoken-alternatives-predict](https://md.mova.elamur.ai/free/en/docs/papers/hu-2023-expectations-over-unspoken-alternatives-predict/) — Expectations over Unspoken Alternatives Predict Pragmatic Inferences
- [en/abrusan-2013-experimenting-king-france-topics-verifiability](https://md.mova.elamur.ai/free/en/docs/papers/abrusan-2013-experimenting-king-france-topics-verifiability/) — Experimenting with the king of France: Topics, verifiability and definite descriptions
- [en/aclbulk-2000-stevenson-experiments-sentence-boundary-detection](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2000-stevenson-experiments-sentence-boundary-detection/) — Experiments on Sentence Boundary Detection
- [mtrans/freitag-2021-experts-errors-context-large-scale](https://md.mova.elamur.ai/free/en/docs/papers/freitag-2021-experts-errors-context-large-scale/) — Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation
- [he/langstream-2023-gueta-explicit-morphological-knowledge-improves-pre](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2023-gueta-explicit-morphological-knowledge-improves-pre/) — Explicit Morphological Knowledge Improves Pre-training of Language Models for Hebrew
- [sem/lingbulk-2016-habash-exploiting-arabic-diacritization-high-quality](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2016-habash-exploiting-arabic-diacritization-high-quality/) — Exploiting Arabic Diacritization for High Quality Automatic Annotation
- [mtrans/amin-2025-exploiting-task-reversibility-drs-parsing](https://md.mova.elamur.ai/free/en/docs/papers/amin-2025-exploiting-task-reversibility-drs-parsing/) — Exploiting Task Reversibility of DRS Parsing and Generation: Challenges and Insights from a Multi-lingual Perspective
- [en/tacl-2014-belinkov-exploring-compositional-architectures-word-vector](https://md.mova.elamur.ai/free/en/docs/papers/tacl-2014-belinkov-exploring-compositional-architectures-word-vector/) — Exploring Compositional Architectures and Word Vector Representations for Prepositional Phrase Attachment
- [en/ud-2020-juzek-exploring-diachronic-syntactic-shifts-dependency](https://md.mova.elamur.ai/free/en/docs/papers/ud-2020-juzek-exploring-diachronic-syntactic-shifts-dependency/) — Exploring diachronic syntactic shifts with dependency length: the case of scientific English
- [en/hara-2011-exploring-difficulties-parsing-imperatives-questions](https://md.mova.elamur.ai/free/en/docs/papers/hara-2011-exploring-difficulties-parsing-imperatives-questions/) — Exploring Difficulties in Parsing Imperatives and Questions
- [en/orlando-2023-exploring-non-verbal-predicates-semantic](https://md.mova.elamur.ai/free/en/docs/papers/orlando-2023-exploring-non-verbal-predicates-semantic/) — Exploring Non-Verbal Predicates in Semantic Role Labeling: Challenges and Opportunities
- [en/aclbulk-2016-liu-exploring-steps-verb-phrase-ellipsis](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2016-liu-exploring-steps-verb-phrase-ellipsis/) — Exploring the steps of Verb Phrase Ellipsis
- [sem/langstream-2024-alrefaie-exploring-tokenization-strategies-vocabulary-sizes](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2024-alrefaie-exploring-tokenization-strategies-vocabulary-sizes/) — Exploring Tokenization Strategies and Vocabulary Sizes for Enhanced Arabic Language Models
- [he/lingbulk-2018-faust-exponence-allomorphy-haplology-number-state](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2018-faust-exponence-allomorphy-haplology-number-state/) — Exponence, allomorphy and haplology in the number and State morphology of Modern Hebrew
- [en/map-2007-johansson-extended-constituent-dependency-conversion-english](https://md.mova.elamur.ai/free/en/docs/papers/map-2007-johansson-extended-constituent-dependency-conversion-english/) — Extended Constituent-to-Dependency Conversion for English
- [en/acl-2018-joshi-extending-parser-distant-domains-few](https://md.mova.elamur.ai/free/en/docs/papers/acl-2018-joshi-extending-parser-distant-domains-few/) — Extending a Parser to Distant Domains Using a Few Dozen Partially Annotated Examples
- [en/schubert-2003-extracting-evaluating-general-world-knowledge](https://md.mova.elamur.ai/free/en/docs/papers/schubert-2003-extracting-evaluating-general-world-knowledge/) — Extracting and evaluating general world knowledge from the Brown Corpus
- [en/acl-2020-shi-extracting-headless-mwes-dependency-parse](https://md.mova.elamur.ai/free/en/docs/papers/acl-2020-shi-extracting-headless-mwes-dependency-parse/) — Extracting Headless MWEs from Dependency Parse Trees: Parsing, Tagging, and Joint Modeling Approaches
- [mtrans/barzilay-2001-extracting-paraphrases-parallel-corpus](https://md.mova.elamur.ai/free/en/docs/papers/barzilay-2001-extracting-paraphrases-parallel-corpus/) — Extracting Paraphrases from a Parallel Corpus
- [mtrans/haugereid-2012-extracting-semantic-transfer-rules-parallel](https://md.mova.elamur.ai/free/en/docs/papers/haugereid-2012-extracting-semantic-transfer-rules-parallel/) — Extracting Semantic Transfer Rules from Parallel Corpora with SMT Phrase Aligners
- [en/fu-2020-facilitating-communication-politeness-through-fine](https://md.mova.elamur.ai/free/en/docs/papers/fu-2020-facilitating-communication-politeness-through-fine/) — Facilitating the Communication of Politeness through Fine-Grained Paraphrasing
- [mtrans/cao-2019-factorising-amr-generation-through-syntax](https://md.mova.elamur.ai/free/en/docs/papers/cao-2019-factorising-amr-generation-through-syntax/) — Factorising AMR generation through syntax
- [sem/lingbulk-2021-rapoport-false-resultatives-interaction-agreement-creation](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2021-rapoport-false-resultatives-interaction-agreement-creation/) — False resultatives: The interaction of agreement and creation in Northern Galilee Levantine Arabic
- [en/piotrowska-2021-familiar-vs-unique-diachronic-perspective](https://md.mova.elamur.ai/free/en/docs/papers/piotrowska-2021-familiar-vs-unique-diachronic-perspective/) — Familiar vs. unique in a diachronic perspective. Case study of the rise of the definite article in North Germanic
- [xu-2022-fantastic-questions-where-find-them](https://md.mova.elamur.ai/free/en/docs/papers/xu-2022-fantastic-questions-where-find-them/) — Fantastic Questions and Where to Find Them: FairytaleQA – An Authentic Dataset for Narrative Comprehension
- [sem/aclbulk-2016-abdelali-farasa-fast-furious-segmenter-arabic](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2016-abdelali-farasa-fast-furious-segmenter-arabic/) — Farasa: A Fast and Furious Segmenter for Arabic
- [mtrans/yu-2020-fast-accurate-non-projective-dependency](https://md.mova.elamur.ai/free/en/docs/papers/yu-2020-fast-accurate-non-projective-dependency/) — Fast and Accurate Non-Projective Dependency Tree Linearization
- [sem/lingbulk-2023-himmelreich-feature-deletion-head-movement-new](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2023-himmelreich-feature-deletion-head-movement-new/) — Feature Deletion by Head Movement: A New Solution to Agreement Asymmetries in Modern Standard Arabic
- [en/cl-2008-miyao-feature-forest-models-probabilistic-hpsg](https://md.mova.elamur.ai/free/en/docs/papers/cl-2008-miyao-feature-forest-models-probabilistic-hpsg/) — Feature Forest Models for Probabilistic HPSG Parsing
- [mtrans/gimpel-2009-feature-rich-translation-quasi-synchronous](https://md.mova.elamur.ai/free/en/docs/papers/gimpel-2009-feature-rich-translation-quasi-synchronous/) — Feature-Rich Translation by Quasi-Synchronous Lattice Parsing
- [en/aclbulk-2019-bollmann-few-shot-zero-shot-learning](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2019-bollmann-few-shot-zero-shot-learning/) — Few-Shot and Zero-Shot Learning for Historical Text Normalization
- [sem/emnlp-2021-lazar-filling-gaps-ancient-akkadian-texts](https://md.mova.elamur.ai/free/en/docs/papers/emnlp-2021-lazar-filling-gaps-ancient-akkadian-texts/) — Filling the Gaps in Ancient Akkadian Texts: A Masked Language Modelling Approach
- [en/onto-2004-mccarthy-finding-predominant-word-senses-untagged](https://md.mova.elamur.ai/free/en/docs/papers/onto-2004-mccarthy-finding-predominant-word-senses-untagged/) — Finding Predominant Word Senses in Untagged Text
- [en/lingbulk-2020-khullar-finding-right-one-resolving-it](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2020-khullar-finding-right-one-resolving-it/) — Finding The Right One and Resolving it
- [en/dunn-2021-finding-variants-construction-based-dialectometry](https://md.mova.elamur.ai/free/en/docs/papers/dunn-2021-finding-variants-construction-based-dialectometry/) — Finding Variants for Construction-Based Dialectometry: A Corpus-Based Approach to Regional CxGs
- [novak-2026-findings-fifth-shared-task-multilingual](https://md.mova.elamur.ai/free/en/docs/papers/novak-2026-findings-fifth-shared-task-multilingual/) — Findings of the Fifth Shared Task on Multilingual Coreference Resolution: Expanding Datasets for Long-Range Entities
- [novak-2025-findings-fourth-shared-task-multilingual](https://md.mova.elamur.ai/free/en/docs/papers/novak-2025-findings-fourth-shared-task-multilingual/) — Findings of the Fourth Shared Task on Multilingual Coreference Resolution: Can LLMs Dethrone Traditional Approaches?
- [sem/lingbulk-2010-sawalha-fine-grain-morphological-analyzer-part](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2010-sawalha-fine-grain-morphological-analyzer-part/) — Fine-Grain Morphological Analyzer and Part-of-Speech Tagger for Arabic Text
- [en/hou-2020-fine-grained-information-status-classification](https://md.mova.elamur.ai/free/en/docs/papers/hou-2020-fine-grained-information-status-classification/) — Fine-grained Information Status Classification Using Discourse Context-Aware BERT
- [sem/lingbulk-2020-alkhairy-finite-state-machine-pattern-root](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2020-alkhairy-finite-state-machine-pattern-root/) — Finite State Machine Pattern-Root Arabic Morphological Generator, Analyzer and Diacritizer
- [sem/aclbulk-1988-kataja-finite-state-description-semitic-morphology](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-1988-kataja-finite-state-description-semitic-morphology/) — Finite-state Description of Semitic Morphology: A Case Study of Ancient Accadian
- [arc/lingbulk-2012-felt-first-results-study-evaluating-pre](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2012-felt-first-results-study-evaluating-pre/) — First Results in a Study Evaluating Pre-annotation and Correction Propagation for Machine-Assisted Syriac Morphological Analysis
- [mtrans/tepanek-2026-first-shared-task-umr-parsing](https://md.mova.elamur.ai/free/en/docs/papers/tepanek-2026-first-shared-task-umr-parsing/) — First Shared Task on UMR Parsing
- [en/ud-2024-ahrenberg-fitting-fixed-expressions-into-ud](https://md.mova.elamur.ai/free/en/docs/papers/ud-2024-ahrenberg-fitting-fixed-expressions-into-ud/) — Fitting Fixed Expressions into the UD Mould: Swedish as a Use Case
- [sem/langstream-2017-sakakini-fixing-infix-unsupervised-discovery-root](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2017-sakakini-fixing-infix-unsupervised-discovery-root/) — Fixing the Infix: Unsupervised Discovery of Root-and-Pattern Morphology
- [mtrans/pham-2018-fixing-translation-divergences-parallel-corpora](https://md.mova.elamur.ai/free/en/docs/papers/pham-2018-fixing-translation-divergences-parallel-corpora/) — Fixing Translation Divergences in Parallel Corpora for Neural MT
- [mtrans/tyers-2012-flexible-finite-state-lexical-selection](https://md.mova.elamur.ai/free/en/docs/papers/tyers-2012-flexible-finite-state-lexical-selection/) — Flexible finite-state lexical selection for rule-based machine translation
- [hbo/hbo-2021-nazarov-focalization-old-testament-narratives-specific](https://md.mova.elamur.ai/free/en/docs/papers/hbo-2021-nazarov-focalization-old-testament-narratives-specific/) — Focalization in the Old Testament Narratives with Specific Examples from the Book of Ruth
- [en/brousse-2026-focus-particles-scalar-inferences-across](https://md.mova.elamur.ai/free/en/docs/papers/brousse-2026-focus-particles-scalar-inferences-across/) — Focus particles and scalar inferences across humans and language models
- [en/ersan-1994-focusing-pronoun-resolution-english-discourse](https://md.mova.elamur.ai/free/en/docs/papers/ersan-1994-focusing-pronoun-resolution-english-discourse/) — Focusing for Pronoun Resolution in English Discourse: An Implementation
- [mtrans/mi-2008-forest-based-translation](https://md.mova.elamur.ai/free/en/docs/papers/mi-2008-forest-based-translation/) — Forest-Based Translation
- [en/aclbulk-2007-clark-formalism-independent-parser-evaluation-ccg](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2007-clark-formalism-independent-parser-evaluation-ccg/) — Formalism-Independent Parser Evaluation with CCG and DepBank
- [mtrans/dusek-2012-formemes-english-czech-deep-syntactic](https://md.mova.elamur.ai/free/en/docs/papers/dusek-2012-formemes-english-czech-deep-syntactic/) — Formemes in English-Czech Deep Syntactic MT
- [en/baker-2014-framenet-knowledge-base-natural-language](https://md.mova.elamur.ai/free/en/docs/papers/baker-2014-framenet-knowledge-base-natural-language/) — FrameNet: A Knowledge Base for Natural Language Processing
- [en/yu-2020-free-plural-unrestricted-split-antecedent](https://md.mova.elamur.ai/free/en/docs/papers/yu-2020-free-plural-unrestricted-split-antecedent/) — Free the Plural: Unrestricted Split-Antecedent Anaphora Resolution
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