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Analogy, complexity and predictability in the Russian nominal inflection system

Bibliographic Data

ID4580925
AuthorsMatías Guzmán Naranjo (0000-0003-1136-6836, Centre National de la Recherche Scientifique, corresponding author)
Year2020
Volume30
Issue3
Pages219-262
Publication date2020-09-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueMorphology (JOURNAL)
Journal identifiersISSN: 1871-5621 • E-ISSN: 1871-5656
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s11525-020-09367-1
OpenAlexW3082458101
LanguageEN
Citations received9
References cited45

Analogy · Inflection · Linguistics · Natural language processing · Noun · Phonology · Predictability · Semantics (computer science · Syntax · Computer Science · Mathematics · Natural Language Processing Techniques · Philosophy · Speech and dialogue systems · Syntax, Semantics, Linguistic Variation · Artificial Intelligence

  • Overabundance and inflectional classification

    Open Access•Matías Guzmán Naranjo, Olivier Bonami•Glossa a journal of general…•2021

  • The meaning of morphomes

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  • Derivation predicting inflection

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    Open Access•Sasha Wilmoth, John Mansfield•Morphology•2021

  • The implicative structure of Asama verb paradigms

    Open Access•Dimitri Lévêque, Thomas Pellard•Morphology•2023

  • Analogical Modeling

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  • Word and Paradigm Morphology

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  • Parts and wholes

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  • The New Russian Vocative

    Henning Andersen•Scando-Slavica•2012

  • Coding efficiency in nominal inflection

    Matías Guzmán Naranjo, Laura Becker•Linguistics Vanguard•2021

  • Gender in Russian

    Open Access•Greville G Corbett•Russian Linguistics•1982

  • Gender

    Open Access•Greville G Corbett•Gender•1991

  • Towards an exemplar-based model of stress in English noun–noun compounds

    Open Access•Sabine Arndt-Lappe•Journal of Linguistics•2011

  • Realistic data and paradigms

    Open Access•Gilles Boyé, Gauvain Schalchli•Morphology•2019

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  • Computational methods for descriptive and theoretical morphology

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  • On the analogical modelling of the English past-tense

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Unique citing works9
Citations per year1,8
Citation span2021 - 2025 (5)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 9
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