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[en/liu-2022-putting-context-snacs-5-way](https://md.mova.elamur.ai/free/en/docs/papers/liu-2022-putting-context-snacs-5-way/) — Putting Context in SNACS: A 5-Way Classification of Adpositional Pragmatic Markers - [en/ud-2020-tiktinsky-pybart-evidence-based-syntactic-transformations](https://md.mova.elamur.ai/free/en/docs/papers/ud-2020-tiktinsky-pybart-evidence-based-syntactic-transformations/) — pyBART: Evidence-based Syntactic Transformations for IE - [en/lapalme-2024-pyrealb-gem-24-data-text](https://md.mova.elamur.ai/free/en/docs/papers/lapalme-2024-pyrealb-gem-24-data-text/) — pyrealb at the GEM'24 Data-to-text Task: Symbolic English Text Generation from RDF Triples - [en/klein-2020-qanom-question-answer-driven-srl](https://md.mova.elamur.ai/free/en/docs/papers/klein-2020-qanom-question-answer-driven-srl/) — QANom: Question-Answer driven SRL for Nominalizations - [mtrans/smith-2006-quasi-synchronous-grammars-alignment-soft](https://md.mova.elamur.ai/free/en/docs/papers/smith-2006-quasi-synchronous-grammars-alignment-soft/) — Quasi-Synchronous Grammars: Alignment by Soft Projection of Syntactic Dependencies - [en/kuthy-2018-qud-based-annotation-discourse-structure](https://md.mova.elamur.ai/free/en/docs/papers/kuthy-2018-qud-based-annotation-discourse-structure/) — QUD-Based Annotation of Discourse Structure and Information Structure: Tool and Evaluation - [en/wu-2023-qudeval-evaluation-questions-under-discussion](https://md.mova.elamur.ai/free/en/docs/papers/wu-2023-qudeval-evaluation-questions-under-discussion/) — QUDeval: The Evaluation of Questions Under Discussion Discourse Parsing - [en/he-2015-question-answer-driven-semantic-role](https://md.mova.elamur.ai/free/en/docs/papers/he-2015-question-answer-driven-semantic-role/) — Question-Answer Driven Semantic Role Labeling: Using Natural Language to Annotate Natural Language - [en/dasigi-2019-quoref-reading-comprehension-dataset-questions](https://md.mova.elamur.ai/free/en/docs/papers/dasigi-2019-quoref-reading-comprehension-dataset-questions/) — Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning - [en/lai-2017-race-large-scale-reading-comprehension](https://md.mova.elamur.ai/free/en/docs/papers/lai-2017-race-large-scale-reading-comprehension/) — RACE: Large-scale ReAding Comprehension Dataset From Examinations - [en/coppock-2013-raising-resolving-issues-scalar-modifiers](https://md.mova.elamur.ai/free/en/docs/papers/coppock-2013-raising-resolving-issues-scalar-modifiers/) — Raising and resolving issues with scalar modifiers - [en/yngve-1961-random-generation-english-sentences](https://md.mova.elamur.ai/free/en/docs/papers/yngve-1961-random-generation-english-sentences/) — Random generation of English sentences - [mtrans/fishel-2013-ranking-translations-error-analysis-quality](https://md.mova.elamur.ai/free/en/docs/papers/fishel-2013-ranking-translations-error-analysis-quality/) — Ranking Translations using Error Analysis and Quality Estimation - [mtrans/lavie-2004-rapid-prototyping-transfer-based-hebrew](https://md.mova.elamur.ai/free/en/docs/papers/lavie-2004-rapid-prototyping-transfer-based-hebrew/) — Rapid prototyping of a transfer-based Hebrew-to-English machine translation system - [en/sarathy-2020-reasoning-requirements-indirect-speech-act](https://md.mova.elamur.ai/free/en/docs/papers/sarathy-2020-reasoning-requirements-indirect-speech-act/) — Reasoning Requirements for Indirect Speech Act Interpretation - [en/martschat-2014-recall-error-analysis-coreference-resolution](https://md.mova.elamur.ai/free/en/docs/papers/martschat-2014-recall-error-analysis-coreference-resolution/) — Recall Error Analysis for Coreference Resolution - [he/lingbulk-2018-poortman-reciprocal-expressions-maximal-typicality-hypothesis](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2018-poortman-reciprocal-expressions-maximal-typicality-hypothesis/) — Reciprocal expressions and the Maximal Typicality Hypothesis - [en/bos-2005-recognising-textual-entailment-logical-inference](https://md.mova.elamur.ai/free/en/docs/papers/bos-2005-recognising-textual-entailment-logical-inference/) — Recognising Textual Entailment with Logical Inference - [en/baumler-2022-recognition-they-them-as-singular](https://md.mova.elamur.ai/free/en/docs/papers/baumler-2022-recognition-they-them-as-singular/) — Recognition of They/Them as Singular Personal Pronouns in Coreference Resolution - [en/gordon-2003-recognizing-expressions-commonsense-psychology-english](https://md.mova.elamur.ai/free/en/docs/papers/gordon-2003-recognizing-expressions-commonsense-psychology-english/) — Recognizing Expressions of Commonsense Psychology in English Text - [en/ud-2019-elkaref-recursive-lstm-tree-representation-arc](https://md.mova.elamur.ai/free/en/docs/papers/ud-2019-elkaref-recursive-lstm-tree-representation-arc/) — Recursive LSTM Tree Representation for Arc-Standard Transition-Based Dependency Parsing - [en/ud-2021-mohammadshahi-recursive-non-autoregressive-graph-graph](https://md.mova.elamur.ai/free/en/docs/papers/ud-2021-mohammadshahi-recursive-non-autoregressive-graph-graph/) — Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative Refinement - [mtrans/yu-2014-red-reference-dependency-based-mt](https://md.mova.elamur.ai/free/en/docs/papers/yu-2014-red-reference-dependency-based-mt/) — RED: A Reference Dependency Based MT Evaluation Metric - [hbo/hbo-2023-sanders-rediscovered-fragments-shed-new-light](https://md.mova.elamur.ai/free/en/docs/papers/hbo-2023-sanders-rediscovered-fragments-shed-new-light/) — Rediscovered Fragments Shed New Light on a Proto-Masoretic Torah Scroll - [en/manning-2021-referenceless-parsing-based-evaluation-amr](https://md.mova.elamur.ai/free/en/docs/papers/manning-2021-referenceless-parsing-based-evaluation-amr/) — Referenceless Parsing-Based Evaluation of AMR-to-English Generation - [en/le-2022-referring-expressions-rational-speech-act](https://md.mova.elamur.ai/free/en/docs/papers/le-2022-referring-expressions-rational-speech-act/) — Referring Expressions with Rational Speech Act Framework: A Probabilistic Approach - [mtrans/hutchins-1995-reflections-history-present-state-mt](https://md.mova.elamur.ai/free/en/docs/papers/hutchins-1995-reflections-history-present-state-mt/) — Reflections on the history and present state of MT - [en/prasad-2014-reflections-penn-discourse-treebank-comparable](https://md.mova.elamur.ai/free/en/docs/papers/prasad-2014-reflections-penn-discourse-treebank-comparable/) — Reflections on the Penn Discourse TreeBank, Comparable Corpora, and Complementary Annotation - [he/lingbulk-2017-kastner-reflexive-verbs-hebrew-deep-unaccusativity](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2017-kastner-reflexive-verbs-hebrew-deep-unaccusativity/) — Reflexive verbs in Hebrew: Deep unaccusativity meets lexical semantics - [mtrans/krishna-2020-reformulating-unsupervised-style-transfer-as](https://md.mova.elamur.ai/free/en/docs/papers/krishna-2020-reformulating-unsupervised-style-transfer-as/) — Reformulating Unsupervised Style Transfer as Paraphrase Generation - [he/langstream-2026-melichov-renikud-audio-supervised-hebrew-grapheme](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2026-melichov-renikud-audio-supervised-hebrew-grapheme/) — ReNikud: Audio-Supervised Hebrew Grapheme-to-Phoneme Conversion - [he/coling-2018-amram-representations-architectures-neural-sentiment-analysis](https://md.mova.elamur.ai/free/en/docs/papers/coling-2018-amram-representations-architectures-neural-sentiment-analysis/) — Representations and Architectures in Neural Sentiment Analysis for Morphologically Rich Languages: A Case Study from Modern Hebrew - [mtrans/carlson-1994-representing-text-meaning-multilingual-knowledge](https://md.mova.elamur.ai/free/en/docs/papers/carlson-1994-representing-text-meaning-multilingual-knowledge/) — Representing Text Meaning for Multilingual Knowledge-Based Machine Translation - [en/aclbulk-2006-mcclosky-reranking-self-training-parser-adaptation](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2006-mcclosky-reranking-self-training-parser-adaptation/) — Reranking and Self-Training for Parser Adaptation - [mtrans/hutchins-1994-research-methods-system-designs-machine](https://md.mova.elamur.ai/free/en/docs/papers/hutchins-1994-research-methods-system-designs-machine/) — Research methods and system designs in machine translation: a ten-year review, 1984-1994 - [en/prag-1999-eckert-resolving-discourse-deictic-anaphora-dialogues](https://md.mova.elamur.ai/free/en/docs/papers/prag-1999-eckert-resolving-discourse-deictic-anaphora-dialogues/) — Resolving Discourse Deictic Anaphora in Dialogues - [en/park-2009-resolving-multiple-wh-fragments-syntax](https://md.mova.elamur.ai/free/en/docs/papers/park-2009-resolving-multiple-wh-fragments-syntax/) — Resolving Multiple Wh-Fragments: A Syntax-Pragmatics Approach - [en/aclbulk-2021-ratnaparkhi-resolving-prepositional-phrase-attachment-ambiguities](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2021-ratnaparkhi-resolving-prepositional-phrase-attachment-ambiguities/) — Resolving Prepositional Phrase Attachment Ambiguities with Contextualized Word Embeddings - [hobbs-1978-resolving-pronoun-references](https://md.mova.elamur.ai/free/en/docs/papers/hobbs-1978-resolving-pronoun-references/) — Resolving Pronoun References - [he/lingbulk-2003-wintner-resources-processing-israeli-hebrew](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2003-wintner-resources-processing-israeli-hebrew/) — Resources for processing Israeli Hebrew - [sem/langstream-2020-fetaya-restoration-fragmentary-babylonian-texts-using](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2020-fetaya-restoration-fragmentary-babylonian-texts-using/) — Restoration of Fragmentary Babylonian Texts Using Recurrent Neural Networks - [sem/langstream-2019-neme-restoring-arabic-vowels-through-omission](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2019-neme-restoring-arabic-vowels-through-omission/) — Restoring Arabic vowels through omission-tolerant dictionary lookup - [hbo/findings-2022-gershuni-restoring-hebrew-diacritics-without-dictionary](https://md.mova.elamur.ai/free/en/docs/papers/findings-2022-gershuni-restoring-hebrew-diacritics-without-dictionary/) — Restoring Hebrew Diacritics Without a Dictionary - [he/aclbulk-2025-shmidman-restoring-missing-spaces-scraped-hebrew](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2025-shmidman-restoring-missing-spaces-scraped-hebrew/) — Restoring Missing Spaces in Scraped Hebrew Social Media - [mtrans/freitag-2022-results-wmt22-metrics-shared-task](https://md.mova.elamur.ai/free/en/docs/papers/freitag-2022-results-wmt22-metrics-shared-task/) — Results of WMT22 Metrics Shared Task: Stop Using BLEU – Neural Metrics Are Better and More Robust - [sem/lingbulk-2019-kaabi-rethinking-templates-syntactic-analysis-verbal](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2019-kaabi-rethinking-templates-syntactic-analysis-verbal/) — Rethinking templates: A syntactic analysis of verbal morphology in Emirati Arabic - [mtrans/barnett-1991-reversible-machine-translation-what-do](https://md.mova.elamur.ai/free/en/docs/papers/barnett-1991-reversible-machine-translation-what-do/) — Reversible Machine Translation: What to Do When the Languages Don't Line Up - [mtrans/noord-1990-reversible-unification-based-machine-translation](https://md.mova.elamur.ai/free/en/docs/papers/noord-1990-reversible-unification-based-machine-translation/) — Reversible Unification Based Machine Translation - [he/lingbulk-2022-shor-revisiting-verbal-agreement-case-israeli](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2022-shor-revisiting-verbal-agreement-case-israeli/) — Revisiting "verbal agreement": The case of Israeli Hebrew - [hbo/aclbulk-2009-hulden-revisiting-multi-tape-automata-semitic](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2009-hulden-revisiting-multi-tape-automata-semitic/) — Revisiting Multi-Tape Automata for Semitic Morphological Analysis and Generation - [en/zhao-2021-revisiting-shallow-discourse-parsing-pdtb](https://md.mova.elamur.ai/free/en/docs/papers/zhao-2021-revisiting-shallow-discourse-parsing-pdtb/) — Revisiting Shallow Discourse Parsing in the PDTB-3: Handling Intra-sentential Implicits - [en/bunt-2017-revisiting-iso-standard-dialogue-act](https://md.mova.elamur.ai/free/en/docs/papers/bunt-2017-revisiting-iso-standard-dialogue-act/) — Revisiting the ISO standard for dialogue act annotation - [en/enud-1988-mann-rhetorical-structure-theory-functional](https://md.mova.elamur.ai/free/en/docs/papers/enud-1988-mann-rhetorical-structure-theory-functional/) — Rhetorical Structure Theory: Toward a functional theory of text organization - [hbo/hbo-2018-pietrzak-rhotic-phonemes-semitic-languages-case](https://md.mova.elamur.ai/free/en/docs/papers/hbo-2018-pietrzak-rhotic-phonemes-semitic-languages-case/) — Rhotic Phonemes in Semitic Languages – The Case of Classical Arabic and Biblical Hebrew - [en/mccoy-2019-right-wrong-reasons-diagnosing-syntactic](https://md.mova.elamur.ai/free/en/docs/papers/mccoy-2019-right-wrong-reasons-diagnosing-syntactic/) — Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference - [mtrans/gruzitis-2017-rigotrio-semeval-2017-task-9](https://md.mova.elamur.ai/free/en/docs/papers/gruzitis-2017-rigotrio-semeval-2017-task-9/) — RIGOTRIO at SemEval-2017 Task 9: Combining Machine Learning and Grammar Engineering for AMR Parsing and Generation - [en/ud-2020-grunewald-robertnlp-iwpt-2020-shared-task](https://md.mova.elamur.ai/free/en/docs/papers/ud-2020-grunewald-robertnlp-iwpt-2020-shared-task/) — RobertNLP at the IWPT 2020 Shared Task: Surprisingly Simple Enhanced UD Parsing for English - [en/aclbulk-2004-nielsen-robust-vpe-detection-automatically-parsed](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2004-nielsen-robust-vpe-detection-automatically-parsed/) — Robust VPE Detection using Automatically Parsed Text - [en/aclbulk-2000-minnen-robust-applied-morphological-generation](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2000-minnen-robust-applied-morphological-generation/) — Robust, applied morphological generation - [sem/lingbulk-2003-dichy-roots-patterns-vs-stems-plus](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2003-dichy-roots-patterns-vs-stems-plus/) — Roots & patterns vs. stems plus grammar-lexis specifications: on what basis should a multilingual database centred on Arabic be built? - [en/wang-2024-rsa-control-pragmatics-grounded-lightweight](https://md.mova.elamur.ai/free/en/docs/papers/wang-2024-rsa-control-pragmatics-grounded-lightweight/) — RSA-Control: A Pragmatics-Grounded Lightweight Controllable Text Generation Framework - [mtrans/bollmann-2011-rule-based-normalization-historical-texts](https://md.mova.elamur.ai/free/en/docs/papers/bollmann-2011-rule-based-normalization-historical-texts/) — Rule-Based Normalization of Historical Texts - [mtrans/gerstenberger-2025-rule-based-surface-realization-romanian](https://md.mova.elamur.ai/free/en/docs/papers/gerstenberger-2025-rule-based-surface-realization-romanian/) — Rule-based Surface Realization of Romanian Weak Pronouns - [mtrans/zarechnak-1976-russian-english-system-georgetown-university](https://md.mova.elamur.ai/free/en/docs/papers/zarechnak-1976-russian-english-system-georgetown-university/) — Russian-English system, Georgetown University - [en/xiong-2025-sarc7-evaluating-sarcasm-detection-generation](https://md.mova.elamur.ai/free/en/docs/papers/xiong-2025-sarc7-evaluating-sarcasm-detection-generation/) — Sarc7: Evaluating Sarcasm Detection and Generation with Seven Types and Emotion-Informed Techniques - [en/prag-2013-riloff-sarcasm-as-contrast-between-positive](https://md.mova.elamur.ai/free/en/docs/papers/prag-2013-riloff-sarcasm-as-contrast-between-positive/) — Sarcasm as Contrast between a Positive Sentiment and Negative Situation - [mtrans/galley-2006-scalable-inference-training-context-rich](https://md.mova.elamur.ai/free/en/docs/papers/galley-2006-scalable-inference-training-context-rich/) — Scalable Inference and Training of Context-Rich Syntactic Translation Models - [en/lee-2008-scalar-implicatures-pragmatic-inferences-or](https://md.mova.elamur.ai/free/en/docs/papers/lee-2008-scalar-implicatures-pragmatic-inferences-or/) — Scalar Implicatures: Pragmatic Inferences or Grammar? - [en/roesiger-2016-scicorp-corpus-english-scientific-articles](https://md.mova.elamur.ai/free/en/docs/papers/roesiger-2016-scicorp-corpus-english-scientific-articles/) — SciCorp: A Corpus of English Scientific Articles Annotated for Information Status Analysis - [en/yang-2018-scidtb-discourse-dependency-treebank-scientific](https://md.mova.elamur.ai/free/en/docs/papers/yang-2018-scidtb-discourse-dependency-treebank-scientific/) — SciDTB: Discourse Dependency TreeBank for Scientific Abstracts - [en/paun-2023-scoring-coreference-chains-split-antecedent](https://md.mova.elamur.ai/free/en/docs/papers/paun-2023-scoring-coreference-chains-split-antecedent/) — Scoring Coreference Chains with Split-Antecedent Anaphors - [pradhan-2014-scoring-coreference-partitions-predicted-mentions](https://md.mova.elamur.ai/free/en/docs/papers/pradhan-2014-scoring-coreference-partitions-predicted-mentions/) — Scoring Coreference Partitions of Predicted Mentions: A Reference Implementation - [sem/langstream-2011-kempe-selected-operations-algorithms-applications-n](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2011-kempe-selected-operations-algorithms-applications-n/) — Selected Operations, Algorithms, and Applications of n-Tape Weighted Finite-State Machines - [mtrans/flickinger-2005-sem-i-rational-mt-enriching](https://md.mova.elamur.ai/free/en/docs/papers/flickinger-2005-sem-i-rational-mt-enriching/) — SEM-I Rational MT: Enriching Deep Grammars with a Semantic Interface for Scalable Machine Translation - [hbo/hbo-2021-sato-semantic-ambiguity-so-called-stative](https://md.mova.elamur.ai/free/en/docs/papers/hbo-2021-sato-semantic-ambiguity-so-called-stative/) — Semantic Ambiguity of So-Called "Stative Verbs" in Biblical Hebrew: Beyond Active vs. Stative Binary Opposition for the Qatal and Qatil Forms in the Qal Stem - [en/aclbulk-2007-copestake-semantic-composition-robust-minimal-recursion](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2007-copestake-semantic-composition-robust-minimal-recursion/) — Semantic Composition with (Robust) Minimal Recursion Semantics - [en/zhao-2009-semantic-dependency-parsing-nombank-propbank](https://md.mova.elamur.ai/free/en/docs/papers/zhao-2009-semantic-dependency-parsing-nombank-propbank/) — Semantic Dependency Parsing of NomBank and PropBank: An Efficient Integrated Approach via a Large-scale Feature Selection - [mtrans/vandevoorde-2020-semantic-differences-translation-exploring](https://md.mova.elamur.ai/free/en/docs/papers/vandevoorde-2020-semantic-differences-translation-exploring/) — Semantic differences in translation: Exploring the field of inchoativity - [en/haim-2007-semantic-inference-lexical-syntactic-level](https://md.mova.elamur.ai/free/en/docs/papers/haim-2007-semantic-inference-lexical-syntactic-level/) — Semantic Inference at the Lexical-Syntactic Level for Textual Entailment Recognition - 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