NDLI: Towards classification of stative verbs in view of corpus data

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Towards classification of stative verbs in view of corpus data

Content Provider	Scilit
Author	Leseva, Svetlozara Stoyanova, Ivelina Kukova, Hristina
Copyright Year	2021
Abstract	The paper presents work in progress on the compilation and automatic annotation of a dataset comprising examples of stative verbs in parallel Bulgarian-Russian corpora with the goal of facilitating the elaboration of a classification of stative verbs in the two languages based on their lexical and semantic properties. We extract stative verbs from the Bulgarian and the Russian WordNets with their assigned conceptual information (frames) from FrameNet. We then assign the set of probable Bulgarian and Russian stative verbs to the verb instances in a parallel Bulgarian-Russian corpus using WordNet correspondences to filter out unlikely stative candidates. Further, manual inspection will ensure high quality of the resource and its application for the purposes of semantic analysis.
Related Links	https://www.sciendo.com/pdf/10.2478/jazcas-2021-0035
Ending Page	393
Page Count	11
Starting Page	383
ISSN	00215597
e-ISSN	13384287
DOI	10.2478/jazcas-2021-0035
Journal	Journal of Linguistics/Jazykovedný casopis
Issue Number	2
Volume Number	72
Language	English
Publisher	Walter de Gruyter GmbH
Publisher Date	2021-12-01
Access Restriction	Open
Subject Keyword	Journal of Linguistics/jazykovedný Casopis Stative Verbs Corpus Assigned Wordnets Semantic Classification Journal: Journal of Linguistics/Jazykovedný casopis, Vol- 72
Content Type	Text
Resource Type	Article
Subject	Linguistics and Language

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