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# papers/all/

1731 pages

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- [en/aclbulk-2009-gillick-sentence-boundary-detection-problem-u](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2009-gillick-sentence-boundary-detection-problem-u/) — Sentence Boundary Detection and the Problem with the U.S.
- [en/aclbulk-2020-hayashibe-sentence-boundary-detection-line-breaks](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2020-hayashibe-sentence-boundary-detection-line-breaks/) — Sentence Boundary Detection on Line Breaks in Japanese
- [en/aclbulk-2012-read-sentence-boundary-detection-long-solved](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2012-read-sentence-boundary-detection-long-solved/) — Sentence Boundary Detection: A Long Solved Problem?
- [en/soricut-2003-sentence-level-discourse-parsing-syntactic](https://md.mova.elamur.ai/free/en/docs/papers/soricut-2003-sentence-level-discourse-parsing-syntactic/) — Sentence Level Discourse Parsing using Syntactic and Lexical Information
- [mtrans/wubben-2012-sentence-simplification-monolingual-machine-translation](https://md.mova.elamur.ai/free/en/docs/papers/wubben-2012-sentence-simplification-monolingual-machine-translation/) — Sentence Simplification by Monolingual Machine Translation
- [en/ud-2018-schuster-sentences-gapping-parsing-reconstructing-elided](https://md.mova.elamur.ai/free/en/docs/papers/ud-2018-schuster-sentences-gapping-parsing-reconstructing-elided/) — Sentences with Gapping: Parsing and Reconstructing Elided Predicates
- [hbo/hbo-2015-lenzi-sequences-verbal-forms-taxis-biblical](https://md.mova.elamur.ai/free/en/docs/papers/hbo-2015-lenzi-sequences-verbal-forms-taxis-biblical/) — Sequences of Verbal Forms and Taxis in Biblical Hebrew
- [hbo/hbo-2022-andrason-serial-verb-constructions-north-west](https://md.mova.elamur.ai/free/en/docs/papers/hbo-2022-andrason-serial-verb-constructions-north-west/) — Serial Verb Constructions in North-West Semitic languages: From a synchronic radiation back to the 'Big Bang'
- [mtrans/whitelock-1992-shake-bake-translation](https://md.mova.elamur.ai/free/en/docs/papers/whitelock-1992-shake-bake-translation/) — Shake-and-Bake Translation
- [en/franz-1900-shakespeare-grammatik](https://md.mova.elamur.ai/free/en/docs/papers/franz-1900-shakespeare-grammatik/) — Shakespeare-Grammatik (1st ed., Halle a. S.: Niemeyer, 1898–1900; 2nd revised ed., Heidelberg: Winter, 1909)
- [mtrans/jhamtani-2017-shakespearizing-modern-language-copy-enriched](https://md.mova.elamur.ai/free/en/docs/papers/jhamtani-2017-shakespearizing-modern-language-copy-enriched/) — Shakespearizing Modern Language Using Copy-Enriched Sequence to Sequence Models
- [en/elder-2020-shape-synth-come-why-we](https://md.mova.elamur.ai/free/en/docs/papers/elder-2020-shape-synth-come-why-we/) — Shape of Synth to Come: Why We Should Use Synthetic Data for English Surface Realization
- [en/schmitt-2019-sherliic-typed-event-focused-lexical](https://md.mova.elamur.ai/free/en/docs/papers/schmitt-2019-sherliic-typed-event-focused-lexical/) — SherLIiC: A Typed Event-Focused Lexical Inference Benchmark for Evaluating Natural Language Inference
- [en/breitbarth-2019-i-should-conditional-marker-arise](https://md.mova.elamur.ai/free/en/docs/papers/breitbarth-2019-i-should-conditional-marker-arise/) — Should a conditional marker arise … The diachronic development of conditional sollte in German
- [en/nizamani-2024-siga-naturalistic-nli-dataset-english](https://md.mova.elamur.ai/free/en/docs/papers/nizamani-2024-siga-naturalistic-nli-dataset-english/) — SIGA: A Naturalistic NLI Dataset of English Scalar Implicatures with Gradable Adjectives
- [en/narrative-2016-kiperwasser-simple-accurate-dependency-parsing-bidirectional](https://md.mova.elamur.ai/free/en/docs/papers/narrative-2016-kiperwasser-simple-accurate-dependency-parsing-bidirectional/) — Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations
- [mtrans/sulem-2018-simple-effective-text-simplification-semantic](https://md.mova.elamur.ai/free/en/docs/papers/sulem-2018-simple-effective-text-simplification-semantic/) — Simple and Effective Text Simplification Using Semantic and Neural Methods
- [haghighi-2009-simple-coreference-resolution-rich-syntactic](https://md.mova.elamur.ai/free/en/docs/papers/haghighi-2009-simple-coreference-resolution-rich-syntactic/) — Simple Coreference Resolution with Rich Syntactic and Semantic Features
- [en/kulkarni-2018-simple-models-word-formation-english](https://md.mova.elamur.ai/free/en/docs/papers/kulkarni-2018-simple-models-word-formation-english/) — Simple Models for Word Formation in English Slang
- [sem/aclbulk-2010-kulick-simultaneous-tokenization-part-speech-tagging](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2010-kulick-simultaneous-tokenization-part-speech-tagging/) — Simultaneous Tokenization and Part-Of-Speech Tagging for Arabic without a Morphological Analyzer
- [en/kubler-2011-singletons-coreference-resolution-evaluation](https://md.mova.elamur.ai/free/en/docs/papers/kubler-2011-singletons-coreference-resolution-evaluation/) — Singletons and Coreference Resolution Evaluation
- [en/yang-2023-slaapte-or-sliep-extending-neural](https://md.mova.elamur.ai/free/en/docs/papers/yang-2023-slaapte-or-sliep-extending-neural/) — Slaapte or Sliep? Extending Neural-Network Simulations of English Past Tense Learning to Dutch and German
- [he/aclbulk-2007-manour-smoothing-lexicon-based-pos-tagger](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2007-manour-smoothing-lexicon-based-pos-tagger/) — Smoothing a Lexicon-based POS Tagger for Arabic and Hebrew
- [roy-2015-solving-general-arithmetic-word-problems](https://md.mova.elamur.ai/free/en/docs/papers/roy-2015-solving-general-arithmetic-word-problems/) — Solving General Arithmetic Word Problems
- [mtrans/dorr-1990-solving-thematic-divergences-machine-translation](https://md.mova.elamur.ai/free/en/docs/papers/dorr-1990-solving-thematic-divergences-machine-translation/) — Solving Thematic Divergences in Machine Translation
- [en/khan-2023-some-considerations-construction-historical-language](https://md.mova.elamur.ai/free/en/docs/papers/khan-2023-some-considerations-construction-historical-language/) — Some Considerations in the Construction of a Historical Language WordNet
- [hbo/hbo-2025-joosten-some-dynamics-word-order-biblical](https://md.mova.elamur.ai/free/en/docs/papers/hbo-2025-joosten-some-dynamics-word-order-biblical/) — Some Dynamics of Word Order in Biblical Hebrew
- [hbo/hbo-2012-gzella-some-general-remarks-interactions-between](https://md.mova.elamur.ai/free/en/docs/papers/hbo-2012-gzella-some-general-remarks-interactions-between/) — Some General Remarks on Interactions between Aspect, Modality, and Evidentiality in Biblical Hebrew
- [hbo/hbo-2024-ortiz-some-notes-lexicographic-criticism-biblical](https://md.mova.elamur.ai/free/en/docs/papers/hbo-2024-ortiz-some-notes-lexicographic-criticism-biblical/) — Some Notes on Lexicographic Criticism and Biblical Hebrew Studies. Revisiting David J. A. Clines's Method
- [hbo/hbo-2019-suchard-sound-changes-pre-masoretic-reading](https://md.mova.elamur.ai/free/en/docs/papers/hbo-2019-suchard-sound-changes-pre-masoretic-reading/) — Sound Changes in the (Pre-)Masoretic Reading Tradition and the Original Pronunciation of Biblical Aramaic
- [mirzaee-2021-spartqa-textual-question-answering-benchmark](https://md.mova.elamur.ai/free/en/docs/papers/mirzaee-2021-spartqa-textual-question-answering-benchmark/) — SPARTQA: A Textual Question Answering Benchmark for Spatial Reasoning
- [en/he-2021-speaker-turn-modeling-dialogue-act](https://md.mova.elamur.ai/free/en/docs/papers/he-2021-speaker-turn-modeling-dialogue-act/) — Speaker Turn Modeling for Dialogue Act Classification
- [hbo/hbo-2016-mylonas-speaking-one-s-heart-semantic](https://md.mova.elamur.ai/free/en/docs/papers/hbo-2016-mylonas-speaking-one-s-heart-semantic/) — Speaking to One's Heart: דבר and its Semantic Extension
- [en/jucker-2019-speech-act-attenuation-history-english](https://md.mova.elamur.ai/free/en/docs/papers/jucker-2019-speech-act-attenuation-history-english/) — Speech act attenuation in the history of English: The case of apologies
- [en/aljanaideh-2025-speech-act-patterns-improving-generalizability](https://md.mova.elamur.ai/free/en/docs/papers/aljanaideh-2025-speech-act-patterns-improving-generalizability/) — Speech Act Patterns for Improving Generalizability of Explainable Politeness Detection Models
- [hbo/hbo-2026-idialu-speech-act-theory-performative-language](https://md.mova.elamur.ai/free/en/docs/papers/hbo-2026-idialu-speech-act-theory-performative-language/) — Speech act theory and the performative language of lament in the individual Psalms of complaint
- [searle-1969-speech-acts](https://md.mova.elamur.ai/free/en/docs/papers/searle-1969-speech-acts/) — Speech Acts: An Essay in the Philosophy of Language
- [mtrans/domingo-2018-spelling-normalization-historical-documents-machine](https://md.mova.elamur.ai/free/en/docs/papers/domingo-2018-spelling-normalization-historical-documents-machine/) — Spelling Normalization of Historical Documents by Using a Machine Translation Approach
- [mtrans/bos-2016-squib-expressive-power-abstract-meaning](https://md.mova.elamur.ai/free/en/docs/papers/bos-2016-squib-expressive-power-abstract-meaning/) — Squib: Expressive Power of Abstract Meaning Representations
- [he/lingbulk-2021-friedmann-stages-rather-than-ages-acquisition](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2021-friedmann-stages-rather-than-ages-acquisition/) — Stages rather than ages in the acquisition of movement structures: Data from sentence repetition and 27696 spontaneous clauses
- [en/ud-2017-dozat-stanford-s-graph-based-neural](https://md.mova.elamur.ai/free/en/docs/papers/ud-2017-dozat-stanford-s-graph-based-neural/) — Stanford's Graph-based Neural Dependency Parser at the CoNLL 2017 Shared Task
- [en/lee-2011-stanford-s-multi-pass-sieve](https://md.mova.elamur.ai/free/en/docs/papers/lee-2011-stanford-s-multi-pass-sieve/) — Stanford's Multi-Pass Sieve Coreference Resolution System at the CoNLL-2011 Shared Task
- [en/ud-2020-qi-stanza-python-natural-language-processing](https://md.mova.elamur.ai/free/en/docs/papers/ud-2020-qi-stanza-python-natural-language-processing/) — Stanza: A Python Natural Language Processing Toolkit for Many Human Languages
- [zelikman-2022-star-bootstrapping-reasoning-reasoning](https://md.mova.elamur.ai/free/en/docs/papers/zelikman-2022-star-bootstrapping-reasoning-reasoning/) — STaR: Bootstrapping Reasoning With Reasoning
- [en/berzak-2020-starc-structured-annotations-reading-comprehension](https://md.mova.elamur.ai/free/en/docs/papers/berzak-2020-starc-structured-annotations-reading-comprehension/) — STARC: Structured Annotations for Reading Comprehension
- [en/parsers-2003-yamada-statistical-dependency-analysis-support-vector](https://md.mova.elamur.ai/free/en/docs/papers/parsers-2003-yamada-statistical-dependency-analysis-support-vector/) — Statistical Dependency Analysis with Support Vector Machines
- [mtrans/riding-2008-statistical-glossing-language-independent-analysis](https://md.mova.elamur.ai/free/en/docs/papers/riding-2008-statistical-glossing-language-independent-analysis/) — Statistical Glossing - Language Independent Analysis in Bible Translation
- [sem/langstream-2015-dukes-statistical-parsing-machine-learning-classical](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2015-dukes-statistical-parsing-machine-learning-classical/) — Statistical Parsing by Machine Learning from a Classical Arabic Treebank
- [mtrans/huang-2006-statistical-syntax-directed-translation-extended](https://md.mova.elamur.ai/free/en/docs/papers/huang-2006-statistical-syntax-directed-translation-extended/) — Statistical Syntax-Directed Translation with Extended Domain of Locality
- [hbo/hbo-2022-winther-nielsen-statistics-text-demarcations-language-learners](https://md.mova.elamur.ai/free/en/docs/papers/hbo-2022-winther-nielsen-statistics-text-demarcations-language-learners/) — Statistics on text demarcations and language learners driven by a database of the Hebrew Bible
- [sem/lingbulk-2023-puech-stem-configurations-lexical-items-phonological](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2023-puech-stem-configurations-lexical-items-phonological/) — Stem Configurations, Lexical Items, and Phonological Words in Maltese
- [matsuda-2025-step-step-instructions-simple-tabular](https://md.mova.elamur.ai/free/en/docs/papers/matsuda-2025-step-step-instructions-simple-tabular/) — Step-by-step Instructions and a Simple Tabular Output Format Improve the Dependency Parsing Accuracy of LLMs
- [shi-2022-stepgame-new-benchmark-robust-multi](https://md.mova.elamur.ai/free/en/docs/papers/shi-2022-stepgame-new-benchmark-robust-multi/) — StepGame: A New Benchmark for Robust Multi-Hop Spatial Reasoning in Texts
- [mtrans/wu-1997-stochastic-inversion-transduction-grammars-bilingual](https://md.mova.elamur.ai/free/en/docs/papers/wu-1997-stochastic-inversion-transduction-grammars-bilingual/) — Stochastic Inversion Transduction Grammars and Bilingual Parsing of Parallel Corpora
- [hbo/hbo-2012-winther-nielsen-stones-display-joshua-6-linguistic](https://md.mova.elamur.ai/free/en/docs/papers/hbo-2012-winther-nielsen-stones-display-joshua-6-linguistic/) — Stones on Display in Joshua 6: The Linguistic Tree Constructor as a "Persuasive Technology"
- [en/einenkel-1887-streifzuge-durch-die-mittelenglische](https://md.mova.elamur.ai/free/en/docs/papers/einenkel-1887-streifzuge-durch-die-mittelenglische/) — Streifzüge durch die mittelenglische Syntax (Münster, 1887); Das englische Indefinitum (1903); Geschichte der englischen Sprache II: Historische Syntax (Strassburg: Trübner, 3. Aufl. 1916)
- [mtrans/sadler-1991-structural-non-correspondence-translation](https://md.mova.elamur.ai/free/en/docs/papers/sadler-1991-structural-non-correspondence-translation/) — Structural Non-Correspondence in Translation
- [huang-2012-structured-perceptron-inexact-search](https://md.mova.elamur.ai/free/en/docs/papers/huang-2012-structured-perceptron-inexact-search/) — Structured Perceptron with Inexact Search
- [hbo/hbobook-obp0164-heijmans-studies-rabbinic-hebrew](https://md.mova.elamur.ai/free/en/docs/papers/hbobook-obp0164-heijmans-studies-rabbinic-hebrew/) — Studies in Rabbinic Hebrew
- [hbo/hbobook-obp0207-hornkohl-studies-semitic-vocalisation-reading-traditions](https://md.mova.elamur.ai/free/en/docs/papers/hbobook-obp0207-hornkohl-studies-semitic-vocalisation-reading-traditions/) — Studies in Semitic Vocalisation and Reading Traditions
- [arc/hbobook-obp0209-khan-studies-grammar-lexicon-neo-aramaic](https://md.mova.elamur.ai/free/en/docs/papers/hbobook-obp0209-khan-studies-grammar-lexicon-neo-aramaic/) — Studies in the Grammar and Lexicon of Neo-Aramaic
- [hbo/aclbulk-2022-tannor-style-classification-rabbinic-literature-detection](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2022-tannor-style-classification-rabbinic-literature-detection/) — Style Classification of Rabbinic Literature for Detection of Lost Midrash Tanhuma Material
- [he/langstream-2022-weingarten-style-transfer-classification-hebrew-news](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2022-weingarten-style-transfer-classification-hebrew-news/) — Style transfer and classification in hebrew news items
- [mtrans/shen-2017-style-transfer-non-parallel-text](https://md.mova.elamur.ai/free/en/docs/papers/shen-2017-style-transfer-non-parallel-text/) — Style Transfer from Non-Parallel Text by Cross-Alignment
- [mtrans/fisher-2024-styleremix-interpretable-authorship-obfuscation-distillation](https://md.mova.elamur.ai/free/en/docs/papers/fisher-2024-styleremix-interpretable-authorship-obfuscation-distillation/) — StyleRemix: Interpretable Authorship Obfuscation via Distillation and Perturbation of Style Elements
- [hbo/aclbulk-2017-giovannetti-stylometry-computer-assisted-translation-experiments](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2017-giovannetti-stylometry-computer-assisted-translation-experiments/) — Stylometry in Computer-Assisted Translation: Experiments on the Babylonian Talmud
- [he/lingbulk-2026-rimon-subject-change-agreement-case](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2026-rimon-subject-change-agreement-case/) — Subject to change: Agreement and case
- [wilson-2023-subject-verb-agreement-seq2seq-transformers](https://md.mova.elamur.ai/free/en/docs/papers/wilson-2023-subject-verb-agreement-seq2seq-transformers/) — Subject-verb agreement with Seq2Seq transformers: Bigger is better, but still not best
- [en/levine-2025-subjectivity-annotation-bridging-anaphora](https://md.mova.elamur.ai/free/en/docs/papers/levine-2025-subjectivity-annotation-bridging-anaphora/) — Subjectivity in the Annotation of Bridging Anaphora
- [en/lex-2021-hofmann-superbizarre-derivational](https://md.mova.elamur.ai/free/en/docs/papers/lex-2021-hofmann-superbizarre-derivational/) — Superbizarre Is Not Superb: Derivational Morphology Improves BERT's Interpretation of Complex Words
- [en/aclbulk-2003-ciaramita-supersense-tagging-unknown-nouns-wordnet](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2003-ciaramita-supersense-tagging-unknown-nouns-wordnet/) — Supersense Tagging of Unknown Nouns in WordNet
- [en/aclbulk-2005-curran-supersense-tagging-unknown-nouns-semantic](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2005-curran-supersense-tagging-unknown-nouns-semantic/) — Supersense Tagging of Unknown Nouns using Semantic Similarity
- [en/lex-2013-durrett-morphological-paradigms](https://md.mova.elamur.ai/free/en/docs/papers/lex-2013-durrett-morphological-paradigms/) — Supervised Learning of Complete Morphological Paradigms
- [en/ng-2010-supervised-noun-phrase-coreference-research](https://md.mova.elamur.ai/free/en/docs/papers/ng-2010-supervised-noun-phrase-coreference-research/) — Supervised Noun Phrase Coreference Research: The First Fifteen Years
- [en/gergel-2017-surprisal-satisfaction-information-theoretic-characterization](https://md.mova.elamur.ai/free/en/docs/papers/gergel-2017-surprisal-satisfaction-information-theoretic-characterization/) — Surprisal and Satisfaction: Towards an Information-theoretic Characterization of Presuppositions with a Diachronic Application
- [mtrans/mansouri-2025-survey-abstract-meaning-representation-then](https://md.mova.elamur.ai/free/en/docs/papers/mansouri-2025-survey-abstract-meaning-representation-then/) — Survey of Abstract Meaning Representation: Then, Now, Future
- [en/anuranjana-2024-survey-computational-approaches-implicature](https://md.mova.elamur.ai/free/en/docs/papers/anuranjana-2024-survey-computational-approaches-implicature/) — Survey on Computational Approaches to Implicature
- [hbo/hbo-2015-korchin-suspense-authority-amid-biblical-hebrew](https://md.mova.elamur.ai/free/en/docs/papers/hbo-2015-korchin-suspense-authority-amid-biblical-hebrew/) — Suspense and Authority amid Biblical Hebrew Front Dislocation
- [he/aclbulk-2007-goldberg-svm-model-tampering-anchored-learning](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2007-goldberg-svm-model-tampering-anchored-learning/) — SVM Model Tampering and Anchored Learning: A Case Study in Hebrew NP Chunking
- [hbo/langstream-2026-gadd-symphonym-universal-phonetic-embeddings-cross](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2026-gadd-symphonym-universal-phonetic-embeddings-cross/) — Symphonym: Universal Phonetic Embeddings for Cross-Script Name Matching
- [mtrans/shieber-2007-synchronous-grammars-transducers-good-news](https://md.mova.elamur.ai/free/en/docs/papers/shieber-2007-synchronous-grammars-transducers-good-news/) — Synchronous Grammars and Transducers: Good News and Bad News
- [mtrans/shieber-2004-synchronous-grammars-as-tree-transducers](https://md.mova.elamur.ai/free/en/docs/papers/shieber-2004-synchronous-grammars-as-tree-transducers/) — Synchronous Grammars as Tree Transducers
- [mtrans/dorna-1998-syntactic-semantic-transfer-f-structures](https://md.mova.elamur.ai/free/en/docs/papers/dorna-1998-syntactic-semantic-transfer-f-structures/) — Syntactic and Semantic Transfer with F-Structures
- [sem/bank-2010-dukes-syntactic-annotation-guidelines-quranic-arabic](https://md.mova.elamur.ai/free/en/docs/papers/bank-2010-dukes-syntactic-annotation-guidelines-quranic-arabic/) — Syntactic Annotation Guidelines for the Quranic Arabic Dependency Treebank
- [en/knott-2003-syntactic-disambiguation-presupposition-resolution](https://md.mova.elamur.ai/free/en/docs/papers/knott-2003-syntactic-disambiguation-presupposition-resolution/) — Syntactic disambiguation using presupposition resolution
- [mtrans/liu-2005-syntactic-features-evaluation-machine-translation](https://md.mova.elamur.ai/free/en/docs/papers/liu-2005-syntactic-features-evaluation-machine-translation/) — Syntactic Features for Evaluation of Machine Translation
- [en/chen-2024-syntactic-language-change-english-german](https://md.mova.elamur.ai/free/en/docs/papers/chen-2024-syntactic-language-change-english-german/) — Syntactic Language Change in English and German: Metrics, Parsers, and Convergences
- [mtrans/menezes-2008-syntactic-models-structural-word-insertion](https://md.mova.elamur.ai/free/en/docs/papers/menezes-2008-syntactic-models-structural-word-insertion/) — Syntactic Models for Structural Word Insertion and Deletion during Translation
- [hbo/hbo-2017-naaijer-syntactic-variation-masoretic-hebrew-object](https://md.mova.elamur.ai/free/en/docs/papers/hbo-2017-naaijer-syntactic-variation-masoretic-hebrew-object/) — Syntactic Variation in Masoretic Hebrew: The Object Clause Reconsidered
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