East Slavic indefinite pronouns: a corpus-based approach.

The paper focuses on the development and functional distribution of indefinite pronouns in Old East Slavic, taking into account different sources, genres and registers. All the examples in the collected dataset were taken from the historical modules of the Russian National Corpus. They were tagged f...

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Detalles Bibliográficos
Publicado en:Russian Linguistics Vol. 45; no. 3; pp. 227 - 253
Autores principales: Penkova, Yana, Rabus, Achim
Formato: Artículo
Publicado: Springer Nature Oct2021
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      pub: Springer Nature
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        10.1007/s11185-021-09247-0
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      tig:
        atl: East Slavic indefinite pronouns: a corpus-based approach.
      aug:
        au:
          Penkova, Yana
          Rabus, Achim
        affil:
          Vinogradov Russian Language Institute of RAS, Moscow, Russia
          University of Freiburg, Freiburg, Germany
      su:
        Pronouns
        Random forest algorithms
        Logistic regression analysis
        Inferential statistics
        Semantics
      sug:
        subj:
          Pronouns
          Random forest algorithms
          Logistic regression analysis
          Inferential statistics
          Semantics
      keyword:
        Corpus linguistics
        Indefinite pronouns
        Old East Slavic
        Reference
        Russian National Corpus
        Semantic maps
      ab: The paper focuses on the development and functional distribution of indefinite pronouns in Old East Slavic, taking into account different sources, genres and registers. All the examples in the collected dataset were taken from the historical modules of the Russian National Corpus. They were tagged for type of indefinite marker, source (including originality and date), type of reference of the indefinite marker, semantics, type of discourse, and the degree of formality (formal or informal) present in the context. We then applied both descriptive and inferential statistical methods such as Random Forest analysis as well as multinomial logistic regression. Our analysis enabled us to identify the primary and secondary predictors of the choice of a particular indefinite marker and to trace the functional distribution of indefinite markers according to these factors.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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