Replication Data for: A network of allostructions: quantified subject constructions in Russian

DOI

Data and R code are provided for statistical analysis of approximately 39,000 corpus examples of predicate agreement in constructions with quantified subjects in Russian. The analysis indicates that these constructions constitute a network of constructions (“allostructions”) with various preferences for singular or plural agreement. Factors pull in different directions, and we observe a relatively stable situation in the face of variation. We present an analysis of a multidimensional network of allostructions in Russian, thus contributing to our understanding of allostructional relationships in Construction Grammar. With regard to historical linguistics, language stability is an understudied field. We illustrate an interplay of divergent factors that apparently resists language change. The syntax of numerals and other quantifiers represents a notoriously complex phenomenon of the Russian language. Our study sheds new light on the contributions of factors that favor singular or plural agreement in sentences with quantified subjects.

R, R version 4.2.1 (2022-06-23) -- "Funny-Looking Kid" Copyright (C) 2022 The R Foundation for Statistical Computing

Identifier
DOI https://doi.org/10.18710/4D2QII
Related Identifier https://doi.org/10.1515/cog-2021-0117
Metadata Access https://dataverse.no/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18710/4D2QII
Provenance
Creator Janda, Laura A ORCID logo; Nesset, Tore ORCID logo
Publisher DataverseNO
Contributor Janda, Laura A; UiT The Arctic University of Norway; The Tromsø Repository of Language and Linguistics
Publication Year 2023
Funding Reference Direktoratet for høyere utdanning og kompetanse CPRU-2017/10027 ; Direktoratet for høyere utdanning og kompetanse UTF‐2020/10129
Rights info:eu-repo/semantics/openAccess
OpenAccess true
Contact Janda, Laura A (UiT The Arctic University of Norway)
Representation
Resource Type corpus; Dataset
Format text/plain; text/csv; application/vnd.openxmlformats-officedocument.spreadsheetml.sheet; application/octet-stream; text/html; application/pdf
Size 8856; 1814986; 1381766; 20016; 2397841; 2269386; 36013332; 12830911; 175984
Version 1.1
Discipline Humanities
Spatial Coverage Tromsø, Norway