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Towards classification of stative verbs in view of corpus data

In: Jazykovedný časopis, vol. 72, no. 2
Svetlozara Leseva - Ivelina Stoyanova - Hristina Kukova
Detaily:
Rok, strany: 2021, 383 - 393
Jazyk: eng
Kľúčové slová:
stative verbs, parallel corpora, semantic annotation
Typ článku: Corpus-Based/Corpus-Driven Linguistic Research
O článku:
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.
Ako citovať:
ISO 690:
Leseva, S., Stoyanova, I., Kukova, H. 2021. Towards classification of stative verbs in view of corpus data. In Jazykovedný časopis, vol. 72, no.2, pp. 383-393. ISSN 0021-5597. DOI: https://doi.org/10.2478/jazcas-2021-0035

APA:
Leseva, S., Stoyanova, I., Kukova, H. (2021). Towards classification of stative verbs in view of corpus data. Jazykovedný časopis, 72(2), 383-393. ISSN 0021-5597. DOI: https://doi.org/10.2478/jazcas-2021-0035
O vydaní: