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Predicting and controlling prominence in neural TTS using a language model - [sem/aclbulk-2010-green-better-arabic-parsing-baselines-evaluations](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2010-green-better-arabic-parsing-baselines-evaluations/) — Better Arabic Parsing: Baselines, Evaluations, and Analysis - [sem/aclbulk-2025-riemenschneider-beyond-base-predictors-llms-resolve](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2025-riemenschneider-beyond-base-predictors-llms-resolve/) — Beyond Base Predictors: Using LLMs to Resolve Ambiguities in Akkadian Lemmatization - [sem/aclbulk-2023-ionov-beyond-concatenative-morphology-applying-ontolex](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2023-ionov-beyond-concatenative-morphology-applying-ontolex/) — Beyond Concatenative Morphology: Applying OntoLex-Morph to Maltese - [mtrans/perrella-2024-beyond-correlation-interpretable-evaluation-machine](https://md.mova.elamur.ai/free/en/docs/papers/perrella-2024-beyond-correlation-interpretable-evaluation-machine/) — Beyond Correlation: Interpretable Evaluation of Machine Translation Metrics - [en/kunz-2016-beyond-identity-coreference-contrasting-indicators](https://md.mova.elamur.ai/free/en/docs/papers/kunz-2016-beyond-identity-coreference-contrasting-indicators/) — Beyond Identity Coreference: Contrasting Indicators of Textual Coherence in English and German - [sem/acl-2024-kheir-beyond-orthography-automatic-recovery-short](https://md.mova.elamur.ai/free/en/docs/papers/acl-2024-kheir-beyond-orthography-automatic-recovery-short/) — Beyond Orthography: Automatic Recovery of Short Vowels and Dialectal Sounds in Arabic - [en/liu-2019-beyond-wall-street-journal-anchoring](https://md.mova.elamur.ai/free/en/docs/papers/liu-2019-beyond-wall-street-journal-anchoring/) — Beyond The Wall Street Journal: Anchoring and Comparing Discourse Signals across Genres - [he/coref-2026-greenfeld-beyond-word-boundaries-hebrew-coreference](https://md.mova.elamur.ai/free/en/docs/papers/coref-2026-greenfeld-beyond-word-boundaries-hebrew-coreference/) — Beyond Word Boundaries: A Hebrew Coreference Benchmark and an Evaluation Protocol for Morphologically Complex Text - [en/domaneschi-2017-bias-polar-questions-evidence-english](https://md.mova.elamur.ai/free/en/docs/papers/domaneschi-2017-bias-polar-questions-evidence-english/) — Bias in polar questions: Evidence from English and German production experiments - [en/davies-1875-bible-english-chapters-old](https://md.mova.elamur.ai/free/en/docs/papers/davies-1875-bible-english-chapters-old/) — Bible English: Chapters on Old and Disused Expressions in the Authorized Version of the Scriptures and the Book of Common Prayer - [mtrans/ross-2000-bible-translation-mediator-hebrew-impact](https://md.mova.elamur.ai/free/en/docs/papers/ross-2000-bible-translation-mediator-hebrew-impact/) — Bible translation as mediator of Hebrew impact on target languages: the Estonian bible translation by Johannes Gutslaff - [hbo/hbo-2011-andrason-biblical-hebrew-wayyiqtol-dynamic-definition](https://md.mova.elamur.ai/free/en/docs/papers/hbo-2011-andrason-biblical-hebrew-wayyiqtol-dynamic-definition/) — Biblical Hebrew Wayyiqtol: A Dynamic Definition - [mtrans/bertos-2023-biblical-translation-do-different-strategies](https://md.mova.elamur.ai/free/en/docs/papers/bertos-2023-biblical-translation-do-different-strategies/) — Biblical translation: do different strategies produce divergent texts? - [mtrans/shieber-2014-bimorphisms-synchronous-grammars](https://md.mova.elamur.ai/free/en/docs/papers/shieber-2014-bimorphisms-synchronous-grammars/) — Bimorphisms and synchronous grammars - [mtrans/puzikov-2018-binlin-simple-method-dependency-tree](https://md.mova.elamur.ai/free/en/docs/papers/puzikov-2018-binlin-simple-method-dependency-tree/) — BinLin: A Simple Method of Dependency Tree Linearization - [mtrans/stymne-2011-blast-tool-error-analysis-machine](https://md.mova.elamur.ai/free/en/docs/papers/stymne-2011-blast-tool-error-analysis-machine/) — Blast: A Tool for Error Analysis of Machine Translation Output - [mtrans/papineni-2002-bleu-method-automatic-evaluation-machine](https://md.mova.elamur.ai/free/en/docs/papers/papineni-2002-bleu-method-automatic-evaluation-machine/) — Bleu: a Method for Automatic Evaluation of Machine Translation - [warstadt-2020-blimp-benchmark-linguistic-minimal-pairs](https://md.mova.elamur.ai/free/en/docs/papers/warstadt-2020-blimp-benchmark-linguistic-minimal-pairs/) — BLiMP: The Benchmark of Linguistic Minimal Pairs for English - [mtrans/gamba-2025-bootstrapping-umrs-universal-dependencies-scalable](https://md.mova.elamur.ai/free/en/docs/papers/gamba-2025-bootstrapping-umrs-universal-dependencies-scalable/) — Bootstrapping UMRs from Universal Dependencies for Scalable Multilingual Annotation - [en/glockner-2018-breaking-nli-systems-sentences-that](https://md.mova.elamur.ai/free/en/docs/papers/glockner-2018-breaking-nli-systems-sentences-that/) — Breaking NLI Systems with Sentences that Require Simple Lexical Inferences - [en/hou-2020-bridging-anaphora-resolution-as-question](https://md.mova.elamur.ai/free/en/docs/papers/hou-2020-bridging-anaphora-resolution-as-question/) — Bridging Anaphora Resolution as Question Answering - [en/roesiger-2018-bridging-resolution-task-definition-corpus](https://md.mova.elamur.ai/free/en/docs/papers/roesiger-2018-bridging-resolution-task-definition-corpus/) — Bridging resolution: Task definition, corpus resources and rule-based experiments - [mtrans/pavlova-2023-bridging-semantic-frameworks-mapping-drs](https://md.mova.elamur.ai/free/en/docs/papers/pavlova-2023-bridging-semantic-frameworks-mapping-drs/) — Bridging Semantic Frameworks: mapping DRS onto AMR - [mtrans/bohnet-2010-broad-coverage-multilingual-deep-sentence](https://md.mova.elamur.ai/free/en/docs/papers/bohnet-2010-broad-coverage-multilingual-deep-sentence/) — Broad Coverage Multilingual Deep Sentence Generation with a Stochastic Multi-Level Realizer - [arc/langstream-2022-chen-btpk-based-interpretable-method-ner](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2022-chen-btpk-based-interpretable-method-ner/) — BTPK-based interpretable method for NER tasks based on Talmudic Public Announcement Logic - [sem/lingbulk-2018-mubarak-build-fast-accurate-lemmatization-arabic](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2018-mubarak-build-fast-accurate-lemmatization-arabic/) — Build Fast and Accurate Lemmatization for Arabic - [en/carlson-2001-building-discourse-tagged-corpus-framework](https://md.mova.elamur.ai/free/en/docs/papers/carlson-2001-building-discourse-tagged-corpus-framework/) — Building a Discourse-Tagged Corpus in the Framework of Rhetorical Structure Theory - [he/lingbulk-2020-eyal-building-hebrew-semantic-role-labeling](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2020-eyal-building-hebrew-semantic-role-labeling/) — Building a Hebrew Semantic Role Labeling Lexical Resource from Parallel Movie Subtitles - [en/bank-1993-marcus-building-large-annotated-corpus-english](https://md.mova.elamur.ai/free/en/docs/papers/bank-1993-marcus-building-large-annotated-corpus-english/) — Building a Large Annotated Corpus of English: The Penn Treebank - [en/lingbulk-2014-kiss-building-reference-lexicon-countability-english](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2014-kiss-building-reference-lexicon-countability-english/) — Building a reference lexicon for countability in English - [sem/aclbulk-2002-darwish-building-shallow-arabic-morphological-analyser](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2002-darwish-building-shallow-arabic-morphological-analyser/) — Building a Shallow Arabic Morphological Analyser in One Day - [he/langstream-2025-hashiloni-building-patient-journeys-hebrew-language](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2025-hashiloni-building-patient-journeys-hebrew-language/) — Building Patient Journeys in Hebrew: A Language Model for Clinical Timeline Extraction - [en/ud-2025-levine-building-ud-cairo-old-english](https://md.mova.elamur.ai/free/en/docs/papers/ud-2025-levine-building-ud-cairo-old-english/) — Building UD Cairo for Old English in the Classroom - [quinlan-1993-c45-programs-machine-learning](https://md.mova.elamur.ai/free/en/docs/papers/quinlan-1993-c45-programs-machine-learning/) — C4.5: Programs for Machine Learning - [en/ud-2026-padovani-cait-syntactic-parsing-toolkit-child](https://md.mova.elamur.ai/free/en/docs/papers/ud-2026-padovani-cait-syntactic-parsing-toolkit-child/) — CAIT: A Syntactic Parsing Toolkit for Child–Adult InTeractions - [sem/coling-2024-khairallah-camel-morph-msa-large-scale](https://md.mova.elamur.ai/free/en/docs/papers/coling-2024-khairallah-camel-morph-msa-large-scale/) — Camel Morph MSA: A Large-Scale Open-Source Morphological Analyzer for Modern Standard Arabic - [sem/lingbulk-2022-habash-camel-treebank-open-multi-genre](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2022-habash-camel-treebank-open-multi-genre/) — Camel Treebank: An Open Multi-genre Arabic Dependency Treebank - [sem/aclbulk-2022-obeid-camelira-arabic-multi-dialect-morphological](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2022-obeid-camelira-arabic-multi-dialect-morphological/) — Camelira: An Arabic Multi-Dialect Morphological Disambiguator - [sem/ud-2023-elshabrawy-camelparser2-0-state-art-dependency](https://md.mova.elamur.ai/free/en/docs/papers/ud-2023-elshabrawy-camelparser2-0-state-art-dependency/) — CamelParser2.0: A State-of-the-Art Dependency Parser for Arabic - [sem/aclbulk-2016-shahrour-camelparser-system-arabic-syntactic-analysis](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2016-shahrour-camelparser-system-arabic-syntactic-analysis/) — CamelParser: A system for Arabic Syntactic Analysis and Morphological Disambiguation - [en/lee-2022-can-language-models-capture-syntactic](https://md.mova.elamur.ai/free/en/docs/papers/lee-2022-can-language-models-capture-syntactic/) — Can language models capture syntactic associations without surface cues? A case study of reflexive anaphor licensing in English control constructions - [en/ek-2021-can-predicate-argument-relationships-be](https://md.mova.elamur.ai/free/en/docs/papers/ek-2021-can-predicate-argument-relationships-be/) — Can predicate-argument relationships be extracted from UD trees? - [en/zhang-2024-can-your-model-tell-negation](https://md.mova.elamur.ai/free/en/docs/papers/zhang-2024-can-your-model-tell-negation/) — Can Your Model Tell a Negation from an Implicature? Unravelling Challenges With Intent Encoders - [mtrans/barnett-1991-capturing-language-specific-semantic-distinctions](https://md.mova.elamur.ai/free/en/docs/papers/barnett-1991-capturing-language-specific-semantic-distinctions/) — Capturing Language-Specific Semantic Distinctions in Interlingua-based MT - [mtrans/hearne-2007-capturing-translational-divergences-statistical-tree](https://md.mova.elamur.ai/free/en/docs/papers/hearne-2007-capturing-translational-divergences-statistical-tree/) — Capturing Translational Divergences with a Statistical Tree-to-Tree Aligner - [en/scholman-2016-categories-coherence-relations-discourse-annotation](https://md.mova.elamur.ai/free/en/docs/papers/scholman-2016-categories-coherence-relations-discourse-annotation/) — Categories of coherence relations in discourse annotation - [chi-1981-categorization-representation-physics-problems-experts](https://md.mova.elamur.ai/free/en/docs/papers/chi-1981-categorization-representation-physics-problems-experts/) — Categorization and Representation of Physics Problems by Experts and Novices - [sem/aclbulk-2009-habash-catib-columbia-arabic-treebank](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2009-habash-catib-columbia-arabic-treebank/) — CATiB: The Columbia Arabic Treebank - [en/lex-2003-habash-catvar](https://md.mova.elamur.ai/free/en/docs/papers/lex-2003-habash-catvar/) — CatVar: A Database of Categorial Variations for English - [en/boguraev-2025-causal-interventions-reveal-shared-structure](https://md.mova.elamur.ai/free/en/docs/papers/boguraev-2025-causal-interventions-reveal-shared-structure/) — Causal Interventions Reveal Shared Structure Across English Filler–Gap Constructions - [en/milicevic-2021-causation-some-other-paraphrasing-patterns](https://md.mova.elamur.ai/free/en/docs/papers/milicevic-2021-causation-some-other-paraphrasing-patterns/) — Causation (and Some Other) Paraphrasing Patterns in L1 English. A Case Study - [arc/lingbulk-2010-felt-ccash-web-application-framework-efficient](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2010-felt-ccash-web-application-framework-efficient/) — CCASH: A Web Application Framework for Efficient, Distributed Language Resource Development - [en/bank-2007-hockenmaier-ccgbank-corpus-ccg-derivations-dependency](https://md.mova.elamur.ai/free/en/docs/papers/bank-2007-hockenmaier-ccgbank-corpus-ccg-derivations-dependency/) — CCGbank: A Corpus of CCG Derivations and Dependency Structures Extracted from the Penn Treebank - [en/alatrash-2020-ccoha-clean-corpus-historical-american](https://md.mova.elamur.ai/free/en/docs/papers/alatrash-2020-ccoha-clean-corpus-historical-american/) — CCOHA: Clean Corpus of Historical American English - [en/cl-1995-grosz-centering-framework-modeling-local-coherence](https://md.mova.elamur.ai/free/en/docs/papers/cl-1995-grosz-centering-framework-modeling-local-coherence/) — Centering: A Framework for Modeling the Local Coherence of Discourse - [en/porada-2024-challenges-evaluating-generalization-coreference-resolution](https://md.mova.elamur.ai/free/en/docs/papers/porada-2024-challenges-evaluating-generalization-coreference-resolution/) — Challenges to Evaluating the Generalization of Coreference Resolution Models: A Measurement Modeling Perspective - [sem/aclbulk-2017-sajjad-challenging-language-dependent-segmentation-arabic](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2017-sajjad-challenging-language-dependent-segmentation-arabic/) — Challenging Language-Dependent Segmentation for Arabic: An Application to Machine Translation and Part-of-Speech Tagging - [hbo/hbo-2017-oosting-changes-syntactic-patterns-textual-tradition](https://md.mova.elamur.ai/free/en/docs/papers/hbo-2017-oosting-changes-syntactic-patterns-textual-tradition/) — Changes of Syntactic Patterns in the Textual Tradition of the Book of Isaiah: A Corpus-Linguistic Approach - [hbo/hbo-2004-snyman-chapter-3-minimalist-assumptions-negation](https://md.mova.elamur.ai/free/en/docs/papers/hbo-2004-snyman-chapter-3-minimalist-assumptions-negation/) — Chapter 3: Minimalist assumptions on negation in Biblical Hebrew syntax - [sem/lingbulk-2020-gasser-character-alignment-morphologically-complex-translation](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2020-gasser-character-alignment-morphologically-complex-translation/) — Character Alignment in Morphologically Complex Translation Sets for Related Languages - [mtrans/wang-2016-character-translation-edit-rate-character](https://md.mova.elamur.ai/free/en/docs/papers/wang-2016-character-translation-edit-rate-character/) — CharacTer: Translation Edit Rate on Character Level - [en/missing4-2007-mcdonald-characterizing-errors-data-driven-dependency](https://md.mova.elamur.ai/free/en/docs/papers/missing4-2007-mcdonald-characterizing-errors-data-driven-dependency/) — Characterizing the Errors of Data-Driven Dependency Parsing Models - [mtrans/kay-1996-chart-generation](https://md.mova.elamur.ai/free/en/docs/papers/kay-1996-chart-generation/) — Chart Generation - [en/shen-2026-children-s-english-reading-story](https://md.mova.elamur.ai/free/en/docs/papers/shen-2026-children-s-english-reading-story/) — Children's English Reading Story Generation via Supervised Fine-Tuning of Compact LLMs with Controllable Difficulty and Safety - [he/aclbulk-2005-haim-choosing-optimal-architecture-segmentation-pos](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2005-haim-choosing-optimal-architecture-segmentation-pos/) — Choosing an Optimal Architecture for Segmentation and POS-Tagging of Modern Hebrew - [mtrans/popovic-2016-chrf-deconstructed-beta-parameters-n](https://md.mova.elamur.ai/free/en/docs/papers/popovic-2016-chrf-deconstructed-beta-parameters-n/) — chrF deconstructed: beta parameters and n-gram weights - [mtrans/popovic-2017-chrf-words-helping-character-n](https://md.mova.elamur.ai/free/en/docs/papers/popovic-2017-chrf-words-helping-character-n/) — chrF++: words helping character n-grams - [mtrans/popovic-2015-chrf-character-n-gram-f](https://md.mova.elamur.ai/free/en/docs/papers/popovic-2015-chrf-character-n-gram-f/) — chrF: character n-gram F-score for automatic MT evaluation - [mtrans/bond-2016-cili-collaborative-interlingual-index](https://md.mova.elamur.ai/free/en/docs/papers/bond-2016-cili-collaborative-interlingual-index/) — CILI: the Collaborative Interlingual Index - 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