Replication data for: Russian nu-drop verbs

DOI

The spreadsheet "Nu-drop database" includes verbs that are characterized by nu-drop, the process whereby certain verbs with the suffix -nu- omit this morpheme in past tense forms. The verb forms culled from the Russian National Corpus are tagged for phonological, morphological and syntactic/semantic properties that are possible factors influencing the nu-drop.

Publication abstract: In the present article we are offering a corpus-based analysis of nu-drop in Russian verbs, the process whereby certain verbs with the suffix -nu- omit this morpheme in past tense forms. We will explore phonological, morphological and syntactic/semantic factors and show that inflectional and derivational morphology are the most important for nu-drop. Our study of the inflectional and derivational morphological categories yields a polarized general picture; the categories display either close to 100% Ø-forms (i.e. forms without -nu-) or close to 0% such forms, while no categories are in the middle of the scale. Moreover, a diachronic survey of the development between the 19th and 21st centuries indicates increasing polarization, insofar as increasing percentages of Ø-forms are attested among forms with high percentages of Ø-forms, whereas decrease is characteristic of forms with low percentages of Ø-forms.

Identifier
DOI https://doi.org/10.18710/HSK0LE
Related Identifier IsCitedBy https://doi.org/10.1007/s11185-011-9084-9
Metadata Access https://dataverse.no/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18710/HSK0LE
Provenance
Creator Makarova, Anastasia ORCID logo; Nesset, Tore ORCID logo
Publisher DataverseNO
Contributor Makarova, Anastasia; UiT The Arctic University of Norway; The Tromsø Repository of Language and Linguistics (TROLLing)
Publication Year 2014
Rights CC0 1.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess true
Contact Makarova, Anastasia (UiT The Arctic University of Norway)
Representation
Resource Type corpus; Dataset
Format application/vnd.ms-excel
Size 2072576; 28649472
Version 2.3
Discipline Humanities