The Russian Constructicon database

DOI

The set of over 2,250 files archived here comprises a database of the Russian Constructicon, an open-access electronic resource freely available at https://constructicon.github.io/russian/. The Russian Constructicon is a searchable database of constructions accompanied with thorough descriptions of their properties and annotated illustrative examples.

Python, Python 3.8

Authentic texts written in Russian by native speakers

Identifier
DOI https://doi.org/10.18710/3AM2QM
Related Identifier IsCitedBy https://doi.org/10.1075/bjl.00043.jan
Related Identifier IsCitedBy https://doi.org/10.1075/cal.22.06jan
Related Identifier IsCitedBy https://doi.org/10.28995/2075-7182-2020-19-241-255
Related Identifier IsCitedBy https://doi.org/10.3389/fpsyg.2020.574353
Metadata Access https://dataverse.no/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18710/3AM2QM
Provenance
Creator Endresen, Anna (ORCID: 0000-0002-9235-613X); Bast, Radovan ORCID logo; Janda, Laura A. ORCID logo; Zhukova, Valentina ORCID logo; Mordashova, Daria (ORCID: 0000-0002-8330-520X); Rakhilina, Ekaterina ORCID logo; Lyashevskaya, Olga (ORCID: 0000-0001-8374-423X); Lund, Marianne; McDonald, James D.; Tyers, Francis M. ORCID logo
Publisher DataverseNO
Contributor Endresen, Anna; UiT The Arctic University of Norway; The Tromsø Repository of Language and Linguistics (TROLLing)
Publication Year 2022
Funding Reference The Norwegian Agency for International Cooperation and Quality Enhancement in Higher Education (Diku) NCM-RU-2016/10025 ; The Norwegian Agency for International Cooperation and Quality Enhancement in Higher Education (Diku) CPRU-2017/10027 ; The Ministry of Science and Higher Education of the Russian Federation 075-15-2020-793 ; The Ministry of Education of the Republic of Korea and the National Research Foundation of Korea NRF-2021S1A5A2A03065528
Rights CC0 1.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess true
Contact Endresen, Anna (UiT The Arctic University of Norway)
Representation
Resource Type textual linguistic data; Dataset
Format application/pdf; text/x-python; application/octet-stream; application/zip
Size 872391; 537; 4832860; 3217382; 988
Version 1.1
Discipline Humanities
Spatial Coverage Norway