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[en/dunn-2019-modeling-global-syntactic-variation-english](https://md.mova.elamur.ai/free/en/docs/papers/dunn-2019-modeling-global-syntactic-variation-english/) — Modeling Global Syntactic Variation in English Using Dialect Classification - [arc/aclbulk-2024-sciolette-modeling-linking-between-text-lexicon](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2024-sciolette-modeling-linking-between-text-lexicon/) — Modeling linking between text and lexicon with OntoLex-Lemon: a case study of computational terminology for the Babylonian Talmud - [he/aclbulk-2010-tsarfaty-modeling-morphosyntactic-agreement-constituency-based](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2010-tsarfaty-modeling-morphosyntactic-agreement-constituency-based/) — Modeling Morphosyntactic Agreement in Constituency-Based Parsing of Modern Hebrew - [en/joty-2018-modeling-speech-acts-asynchronous-conversations](https://md.mova.elamur.ai/free/en/docs/papers/joty-2018-modeling-speech-acts-asynchronous-conversations/) — Modeling Speech Acts in Asynchronous Conversations: A Neural-CRF Approach - [hbo/aclbulk-2026-tal-modeling-dalet-clitic-historical-hebrew](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2026-tal-modeling-dalet-clitic-historical-hebrew/) — Modeling the Dalet Clitic in Historical Hebrew Texts: A New Prefix-Segmented BERT Model and Stylistic Analysis - [en/miletic-2025-modeling-evolution-english-noun-compounds](https://md.mova.elamur.ai/free/en/docs/papers/miletic-2025-modeling-evolution-english-noun-compounds/) — Modeling the Evolution of English Noun Compounds with Feature-Rich Diachronic Compositionality Prediction - [he/aclbulk-2026-samo-modelling-morphology-verbal-paradigms-case](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2026-samo-modelling-morphology-verbal-paradigms-case/) — Modelling the Morphology of Verbal Paradigms: A Case Study in the Tokenization of Turkish and Hebrew - [en/yung-2016-modelling-usage-discourse-connectives-as](https://md.mova.elamur.ai/free/en/docs/papers/yung-2016-modelling-usage-discourse-connectives-as/) — Modelling the Usage of Discourse Connectives as Rational Speech Acts - [mtrans/gao-2026-modular-neural-machine-translation-semantic](https://md.mova.elamur.ai/free/en/docs/papers/gao-2026-modular-neural-machine-translation-semantic/) — Modular Neural Machine Translation with a Semantic Pivot - Pilot Study Using AMR - [en/hee-2016-monday-mornings-are-my-fave](https://md.mova.elamur.ai/free/en/docs/papers/hee-2016-monday-mornings-are-my-fave/) — Monday mornings are my fave :) #not Exploring the Automatic Recognition of Irony in English tweets - [mtrans/quirk-2004-monolingual-machine-translation-paraphrase-generation](https://md.mova.elamur.ai/free/en/docs/papers/quirk-2004-monolingual-machine-translation-paraphrase-generation/) — Monolingual Machine Translation for Paraphrase Generation - [en/bank-2013-marneffe-more-constructions-more-genres-extending](https://md.mova.elamur.ai/free/en/docs/papers/bank-2013-marneffe-more-constructions-more-genres-extending/) — More Constructions, More Genres: Extending Stanford Dependencies - [sem/lingbulk-2026-alakeel-morphemes-without-borders-evaluating-root](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2026-alakeel-morphemes-without-borders-evaluating-root/) — Morphemes without Borders: Evaluating Root–Pattern Morphology in Arabic Tokenizers and LLMs - [mtrans/popovic-2006-morpho-syntactic-information-automatic-error](https://md.mova.elamur.ai/free/en/docs/papers/popovic-2006-morpho-syntactic-information-automatic-error/) — Morpho-syntactic Information for Automatic Error Analysis of Statistical Machine Translation Output - [en/lex-2018-sanchezgutierrez-morpholex](https://md.mova.elamur.ai/free/en/docs/papers/lex-2018-sanchezgutierrez-morpholex/) — MorphoLex: A derivational morphological database for 70,000 English words - [sem/lingbulk-2020-khalifa-morphological-analysis-disambiguation-gulf-arabic](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2020-khalifa-morphological-analysis-disambiguation-gulf-arabic/) — Morphological Analysis and Disambiguation for Gulf Arabic: The Interplay between Resources and Methods - [sem/aclbulk-2005-habash-morphological-analysis-generation-arabic-dialects](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2005-habash-morphological-analysis-generation-arabic-dialects/) — Morphological Analysis and Generation for Arabic Dialects - [sem/lingbulk-2010-altantawy-morphological-analysis-generation-arabic-nouns](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2010-altantawy-morphological-analysis-generation-arabic-nouns/) — Morphological Analysis and Generation of Arabic Nouns: A Morphemic Functional Approach - [en/honnibal-2010-morphological-analysis-can-improve-ccg](https://md.mova.elamur.ai/free/en/docs/papers/honnibal-2010-morphological-analysis-can-improve-ccg/) — Morphological Analysis Can Improve a CCG Parser for English - [sem/aclbulk-2017-borg-morphological-analysis-maltese-language-challenges](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2017-borg-morphological-analysis-maltese-language-challenges/) — Morphological Analysis for the Maltese Language: The challenges of a hybrid system - [en/aquino-2024-morphological-syntactic-characteristics-adjectives-philippine](https://md.mova.elamur.ai/free/en/docs/papers/aquino-2024-morphological-syntactic-characteristics-adjectives-philippine/) — Morphological and Syntactic Characteristics of Adjectives in Philippine English: A Corpus-Based Description - [sem/lingbulk-2010-dukes-morphological-annotation-quranic-arabic](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2010-dukes-morphological-annotation-quranic-arabic/) — Morphological Annotation of Quranic Arabic - [he/aclbulk-2007-shacham-morphological-disambiguation-hebrew-case-study](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2007-shacham-morphological-disambiguation-hebrew-case-study/) — Morphological Disambiguation of Hebrew: A Case Study in Classifier Combination - [sem/aclbulk-2011-dehdari-morphological-features-parsing-morphologically-rich](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2011-dehdari-morphological-features-parsing-morphologically-rich/) — Morphological Features for Parsing Morphologically-rich Languages: A Case of Arabic - [en/lex-2023-kodner-inflection-reality-check](https://md.mova.elamur.ai/free/en/docs/papers/lex-2023-kodner-inflection-reality-check/) — Morphological Inflection: A Reality Check - [sem/aclbulk-2024-gidey-morphological-synthesizer-ge-ez-language](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2024-gidey-morphological-synthesizer-ge-ez-language/) — Morphological Synthesizer for Ge'ez Language: Addressing Morphological Complexity and Resource Limitations - [sem/aclbulk-2018-shapiro-morphological-word-embeddings-arabic-neural](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2018-shapiro-morphological-word-embeddings-arabic-neural/) — Morphological Word Embeddings for Arabic Neural Machine Translation in Low-Resource Settings - [sem/aclbulk-2019-alshargi-morphologically-annotated-corpora-seven-arabic](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2019-alshargi-morphologically-annotated-corpora-seven-arabic/) — Morphologically Annotated Corpora for Seven Arabic Dialects: Taizi, Sanaani, Najdi, Jordanian, Syrian, Iraqi and Moroccan - [sem/lingbulk-2020-mersha-morphology-rich-alphasyllabary-embeddings](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2020-mersha-morphology-rich-alphasyllabary-embeddings/) — Morphology-rich Alphasyllabary Embeddings - [sem/lingbulk-2022-habash-morphotactic-modeling-open-source-multi](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2022-habash-morphotactic-modeling-open-source-multi/) — Morphotactic Modeling in an Open-source Multi-dialectal Arabic Morphological Analyzer and Generator - [en/lex-2021-batsuren-morphynet](https://md.mova.elamur.ai/free/en/docs/papers/lex-2021-batsuren-morphynet/) — MorphyNet: a Large Multilingual Database of Derivational and Inflectional Morphology - [sem/findings-2025-teklehaymanot-movoc-morphology-aware-subword-construction](https://md.mova.elamur.ai/free/en/docs/papers/findings-2025-teklehaymanot-movoc-morphology-aware-subword-construction/) — MoVoC: Morphology-Aware Subword Construction for Ge'ez Script Languages - [hbo/findings-2024-shmidman-mrl-parsing-without-tears-case](https://md.mova.elamur.ai/free/en/docs/papers/findings-2024-shmidman-mrl-parsing-without-tears-case/) — MRL Parsing Without Tears: The Case of Hebrew - [hbo/aclbulk-2024-shmidman-msbert-new-model-reconstruction-lacunae](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2024-shmidman-msbert-new-model-reconstruction-lacunae/) — MsBERT: A New Model for the Reconstruction of Lacunae in Hebrew Manuscripts - [he/aclbulk-2013-elhadad-multi-document-multilingual-summarization-corpus](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2013-elhadad-multi-document-multilingual-summarization-corpus/) — Multi-document multilingual summarization corpus preparation, Part 2: Czech, Hebrew and Spanish - [mtrans/okumura-1991-multi-lingual-sentence-generation-pivot](https://md.mova.elamur.ai/free/en/docs/papers/okumura-1991-multi-lingual-sentence-generation-pivot/) — Multi-lingual Sentence Generation from the PIVOT interlingua - [en/labutov-2018-multi-relational-question-answering-narratives](https://md.mova.elamur.ai/free/en/docs/papers/labutov-2018-multi-relational-question-answering-narratives/) — Multi-Relational Question Answering from Narratives: Machine Reading and Reasoning in Simulated Worlds - [hbo/aclbulk-1994-kiraz-multi-tape-two-level-morphology](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-1994-kiraz-multi-tape-two-level-morphology/) — Multi-Tape Two-Level Morphology: A Case Study in Semitic Non-Linear Morphology - [en/aclbulk-2018-bollmann-multi-task-learning-historical-text](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2018-bollmann-multi-task-learning-historical-text/) — Multi-task learning for historical text normalization: Size matters - [en/ziems-2023-multi-value-framework-cross-dialectal](https://md.mova.elamur.ai/free/en/docs/papers/ziems-2023-multi-value-framework-cross-dialectal/) — Multi-VALUE: A Framework for Cross-Dialectal English NLP - [en/aclbulk-2009-marneffe-multi-word-expressions-textual-inference](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2009-marneffe-multi-word-expressions-textual-inference/) — Multi-word expressions in textual inference: Much ado about nothing? - [mtrans/lommel-2013-multidimensional-quality-metrics-flexible-system](https://md.mova.elamur.ai/free/en/docs/papers/lommel-2013-multidimensional-quality-metrics-flexible-system/) — Multidimensional quality metrics: a flexible system for assessing translation quality - [he/findings-2023-eyal-multilingual-sequence-sequence-models-hebrew](https://md.mova.elamur.ai/free/en/docs/papers/findings-2023-eyal-multilingual-sequence-sequence-models-hebrew/) — Multilingual Sequence-to-Sequence Models for Hebrew NLP - [arc/cl-2000-kiraz-multitiered-nonlinear-morphology-multitape-finite](https://md.mova.elamur.ai/free/en/docs/papers/cl-2000-kiraz-multitiered-nonlinear-morphology-multitape-finite/) — Multitiered Nonlinear Morphology Using Multitape Finite Automata: A Case Study on Syriac and Arabic - 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The mwetoolkit comes in handy - [en/idioms-2002-sag-multiword-expressions-pain-neck-nlp](https://md.mova.elamur.ai/free/en/docs/papers/idioms-2002-sag-multiword-expressions-pain-neck-nlp/) — Multiword Expressions: A Pain in the Neck for NLP - [en/lingbulk-2002-copestake-multiword-expressions-linguistic-precision-reusability](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2002-copestake-multiword-expressions-linguistic-precision-reusability/) — Multiword expressions: linguistic precision and reusability - [en/bank-2016-rosen-mwes-treebanks-survey-guidelines](https://md.mova.elamur.ai/free/en/docs/papers/bank-2016-rosen-mwes-treebanks-survey-guidelines/) — MWEs in Treebanks: From Survey to Guidelines - [sem/eacl-2026-mubarak-nahw-comprehensive-benchmark-arabic-grammar](https://md.mova.elamur.ai/free/en/docs/papers/eacl-2026-mubarak-nahw-comprehensive-benchmark-arabic-grammar/) — Nahw: A Comprehensive Benchmark of Arabic Grammar Understanding, Error Detection, Correction, and Explanation - [hbo/aclbulk-2020-shmidman-nakdan-professional-hebrew-diacritizer](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2020-shmidman-nakdan-professional-hebrew-diacritizer/) — Nakdan: Professional Hebrew Diacritizer - [hbo/hbo-2022-ehrensvard-negating-infinitive-biblical-hebrew](https://md.mova.elamur.ai/free/en/docs/papers/hbo-2022-ehrensvard-negating-infinitive-biblical-hebrew/) — Negating the infinitive in Biblical Hebrew - [en/jespersen-1917-negation-english-other-languages](https://md.mova.elamur.ai/free/en/docs/papers/jespersen-1917-negation-english-other-languages/) — Negation in English and Other Languages - [findlay-2025-negation-universal-dependencies](https://md.mova.elamur.ai/free/en/docs/papers/findlay-2025-negation-universal-dependencies/) — Negation in Universal Dependencies - [en/aclbulk-2014-thomas-negation-scope-spelling-variation-text](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2014-thomas-negation-scope-spelling-variation-text/) — Negation scope and spelling variation for text-mining of Danish electronic patient records - [he/langstream-2025-shmidman-neodictabert-pushing-frontier-bert-models](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2025-shmidman-neodictabert-pushing-frontier-bert-models/) — NeoDictaBERT: Pushing the Frontier of BERT models for Hebrew - [en/ud-2019-przepiorkowski-nested-coordination-universal-dependencies](https://md.mova.elamur.ai/free/en/docs/papers/ud-2019-przepiorkowski-nested-coordination-universal-dependencies/) — Nested Coordination in Universal Dependencies - [mtrans/konstas-2017-neural-amr-sequence-sequence-models](https://md.mova.elamur.ai/free/en/docs/papers/konstas-2017-neural-amr-sequence-sequence-models/) — Neural AMR: Sequence-to-Sequence Models for Parsing and Generation - [sem/aclbulk-2019-fadel-neural-arabic-text-diacritization-state](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2019-fadel-neural-arabic-text-diacritization-state/) — Neural Arabic Text Diacritization: State of the Art Results and a Novel Approach for Machine Translation - [hbo/acl-2019-luo-neural-decipherment-minimum-cost-flow](https://md.mova.elamur.ai/free/en/docs/papers/acl-2019-luo-neural-decipherment-minimum-cost-flow/) — Neural Decipherment via Minimum-Cost Flow: From Ugaritic to Linear B - [en/lingbulk-2019-schmitt-neural-lemmatization-multiword-expressions](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2019-schmitt-neural-lemmatization-multiword-expressions/) — Neural Lemmatization of Multiword Expressions - [he/tacl-2021-bareket-neural-modeling-named-entities-morphology](https://md.mova.elamur.ai/free/en/docs/papers/tacl-2021-bareket-neural-modeling-named-entities-morphology/) — Neural Modeling for Named Entities and Morphology (NEMO2) - [en/rudinger-2018-neural-models-factuality](https://md.mova.elamur.ai/free/en/docs/papers/rudinger-2018-neural-models-factuality/) — Neural Models of Factuality - [en/geiger-2020-neural-natural-language-inference-models](https://md.mova.elamur.ai/free/en/docs/papers/geiger-2020-neural-natural-language-inference-models/) — Neural Natural Language Inference Models Partially Embed Theories of Lexical Entailment and Negation - [hbo/hbobook-obp0250-hornkohl-new-perspectives-biblical-rabbinic-hebrew](https://md.mova.elamur.ai/free/en/docs/papers/hbobook-obp0250-hornkohl-new-perspectives-biblical-rabbinic-hebrew/) — New Perspectives in Biblical and Rabbinic Hebrew - [mtrans/kunz-2017-new-perspectives-cohesion-coherence](https://md.mova.elamur.ai/free/en/docs/papers/kunz-2017-new-perspectives-cohesion-coherence/) — New perspectives on cohesion and coherence: Implications for translation - [en/chiarcos-2014-new-technologies-old-germanic-resources](https://md.mova.elamur.ai/free/en/docs/papers/chiarcos-2014-new-technologies-old-germanic-resources/) — New Technologies for Old Germanic. Resources and Research on Parallel Bibles in Older Continental Western Germanic - [he/aclbulk-2021-rubinstein-nlp-dh-pipeline-transfer-learning](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2021-rubinstein-nlp-dh-pipeline-transfer-learning/) — NLP in the DH pipeline: Transfer-learning to a Chronolect - [he/lingbulk-2017-friedmann-no-case-case-locality-case](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2017-friedmann-no-case-case-locality-case/) — No case for Case in locality: Case does not help interpretation when intervention blocks A-bar chains - [en/gram-2020-khullar-noel-annotated-corpus-noun-ellipsis](https://md.mova.elamur.ai/free/en/docs/papers/gram-2020-khullar-noel-annotated-corpus-noun-ellipsis/) — NoEl: An Annotated Corpus for Noun Ellipsis in English - [sem/naacl-2018-zalmout-noise-robust-morphological-disambiguation-dialectal](https://md.mova.elamur.ai/free/en/docs/papers/naacl-2018-zalmout-noise-robust-morphological-disambiguation-dialectal/) — Noise-Robust Morphological Disambiguation for Dialectal Arabic - [arc/langstream-2024-nazari-nolor-asr-based-framework-expedited](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2024-nazari-nolor-asr-based-framework-expedited/) — NoLoR: An ASR-Based Framework for Expedited Endangered Language Documentation with Neo-Aramaic as a Case Study - [en/narrative-2005-mcdonald-non-projective-dependency-parsing-spanning](https://md.mova.elamur.ai/free/en/docs/papers/narrative-2005-mcdonald-non-projective-dependency-parsing-spanning/) — Non-Projective Dependency Parsing using Spanning Tree Algorithms - [en/nlpgap-2014-kao-nonliteral-understanding-number-words](https://md.mova.elamur.ai/free/en/docs/papers/nlpgap-2014-kao-nonliteral-understanding-number-words/) — Nonliteral understanding of number words - [en/parrish-2021-nope-corpus-naturally-occurring-presuppositions](https://md.mova.elamur.ai/free/en/docs/papers/parrish-2021-nope-corpus-naturally-occurring-presuppositions/) — NOPE: A Corpus of Naturally-Occurring Presuppositions in English - [mtrans/pettersson-2013-normalisation-historical-text-context-sensitive](https://md.mova.elamur.ai/free/en/docs/papers/pettersson-2013-normalisation-historical-text-context-sensitive/) — Normalisation of Historical Text Using Context-Sensitive Weighted Levenshtein Distance and Compound Splitting - [en/hamalainen-2018-normalizing-early-english-letters-present](https://md.mova.elamur.ai/free/en/docs/papers/hamalainen-2018-normalizing-early-english-letters-present/) — Normalizing Early English Letters to Present-day English Spelling - [mtrans/rubino-2024-normalizing-without-modernizing-keeping-historical](https://md.mova.elamur.ai/free/en/docs/papers/rubino-2024-normalizing-without-modernizing-keeping-historical/) — Normalizing without Modernizing: Keeping Historical Wordforms of Middle French while Reducing Spelling Variants - [mtrans/xue-2014-not-interlingua-but-close-comparison](https://md.mova.elamur.ai/free/en/docs/papers/xue-2014-not-interlingua-but-close-comparison/) — Not an Interlingua, But Close: Comparison of English AMRs to Chinese and Czech - [hbo/hbo-2023-elrod-nothing-new-under-sun-study](https://md.mova.elamur.ai/free/en/docs/papers/hbo-2023-elrod-nothing-new-under-sun-study/) — Nothing New Under the Sun? The Study of Biblical Hebrew in the Era of Generative Pre-trained AI - [he/aclbulk-2006-goldberg-noun-phrase-chunking-hebrew-influence](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2006-goldberg-noun-phrase-chunking-hebrew-influence/) — Noun Phrase Chunking in Hebrew: Influence of Lexical and Morphological Features - [en/bech-2024-noun-phrases-early-germanic](https://md.mova.elamur.ai/free/en/docs/papers/bech-2024-noun-phrases-early-germanic/) — Noun phrases in early Germanic languages - [hbo/hbo-2018-levinsohn-np-references-active-participants-story](https://md.mova.elamur.ai/free/en/docs/papers/hbo-2018-levinsohn-np-references-active-participants-story/) — NP References to Active Participants and Story Development in Ancient Hebrew - [en/ud-2022-nivre-nucleus-composition-transition-based-dependency](https://md.mova.elamur.ai/free/en/docs/papers/ud-2022-nivre-nucleus-composition-transition-based-dependency/) — Nucleus Composition in Transition-based Dependency Parsing - [sem/aclbulk-2023-nayouf-nabra-syrian-arabic-dialects-morphological](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2023-nayouf-nabra-syrian-arabic-dialects-morphological/) — Nâbra: Syrian Arabic Dialects with Morphological Annotations - [he/langstream-2023-hamad-offensive-hebrew-corpus-detection-using](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2023-hamad-offensive-hebrew-corpus-detection-using/) — Offensive Hebrew Corpus and Detection using BERT - [he/lingbulk-2022-litvak-offensive-language-detection-hebrew-can](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2022-litvak-offensive-language-detection-hebrew-can/) — Offensive language detection in Hebrew: can other languages help? - [en/contributors-2026-old-english](https://md.mova.elamur.ai/free/en/docs/papers/contributors-2026-old-english/) — Old English (Wikibooks, fetched 2026-10-17) - [hbo/hbo-2026-stefaniak-old-hebrew-inscriptions-tel-arad](https://md.mova.elamur.ai/free/en/docs/papers/hbo-2026-stefaniak-old-hebrew-inscriptions-tel-arad/) — Old Hebrew Inscriptions from Tel Arad - [en/parsers-2000-flickinger-building-more-efficient-grammar](https://md.mova.elamur.ai/free/en/docs/papers/parsers-2000-flickinger-building-more-efficient-grammar/) — On building a more efficient grammar by exploiting types - [luo-2005-coreference-resolution-performance-metrics](https://md.mova.elamur.ai/free/en/docs/papers/luo-2005-coreference-resolution-performance-metrics/) — On Coreference Resolution Performance Metrics - [en/deemter-2000-coreferring-coreference-muc-related-annotation](https://md.mova.elamur.ai/free/en/docs/papers/deemter-2000-coreferring-coreference-muc-related-annotation/) — On Coreferring: Coreference in MUC and Related Annotation Schemes - [en/toshniwal-2021-generalization-coreference-resolution](https://md.mova.elamur.ai/free/en/docs/papers/toshniwal-2021-generalization-coreference-resolution/) — On Generalization in Coreference Resolution - [dickinson-2015-grammaticality-syntactic-annotation-learner-language](https://md.mova.elamur.ai/free/en/docs/papers/dickinson-2015-grammaticality-syntactic-annotation-learner-language/) — On Grammaticality in the Syntactic Annotation of Learner Language - [mtrans/nirenburg-1986-knowledge-based-machine-translation](https://md.mova.elamur.ai/free/en/docs/papers/nirenburg-1986-knowledge-based-machine-translation/) — On Knowledge-Based Machine Translation - [en/beck-2023-old-english-em-swa-em](https://md.mova.elamur.ai/free/en/docs/papers/beck-2023-old-english-em-swa-em/) — On Old English swa 'so' - [mtrans/farwell-1997-representing-language-specific-information-interlingua](https://md.mova.elamur.ai/free/en/docs/papers/farwell-1997-representing-language-specific-information-interlingua/) — On representing language-specific information in interlingua - [sem/aclbulk-2020-alkaoud-importance-tokenization-arabic-embedding-models](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2020-alkaoud-importance-tokenization-arabic-embedding-models/) — On the Importance of Tokenization in Arabic Embedding Models - [en/cl-2024-toporkov-role-morphological-information-contextual-lemmatization](https://md.mova.elamur.ai/free/en/docs/papers/cl-2024-toporkov-role-morphological-information-contextual-lemmatization/) — On the Role of Morphological Information for Contextual Lemmatization [1](https://md.mova.elamur.ai/free/en/docs/papers/all/)[2](https://md.mova.elamur.ai/free/en/docs/papers/all/page/2/)[3](https://md.mova.elamur.ai/free/en/docs/papers/all/page/3/)[4](https://md.mova.elamur.ai/free/en/docs/papers/all/page/4/)[5](https://md.mova.elamur.ai/free/en/docs/papers/all/page/5/)[6](https://md.mova.elamur.ai/free/en/docs/papers/all/page/6/)[7](https://md.mova.elamur.ai/free/en/docs/papers/all/page/7/)[8](https://md.mova.elamur.ai/free/en/docs/papers/all/page/8/)[9](https://md.mova.elamur.ai/free/en/docs/papers/all/page/9/)[10](https://md.mova.elamur.ai/free/en/docs/papers/all/page/10/)**11**[12](https://md.mova.elamur.ai/free/en/docs/papers/all/page/12/)[13](https://md.mova.elamur.ai/free/en/docs/papers/all/page/13/)[14](https://md.mova.elamur.ai/free/en/docs/papers/all/page/14/)[15](https://md.mova.elamur.ai/free/en/docs/papers/all/page/15/)[16](https://md.mova.elamur.ai/free/en/docs/papers/all/page/16/)[17](https://md.mova.elamur.ai/free/en/docs/papers/all/page/17/)[18](https://md.mova.elamur.ai/free/en/docs/papers/all/page/18/)