<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This paper introduces a technique for automatic verbal governance extraction in the Russian language, which encapsulates information on the grammatical features of verbnoun co-occurrences, encompassing both prepositional and non-prepositional dependencies. The construction of the dictionary, a corpus of approximately 3.5 billion words was used. The proposed method involves syntactic parsing of the texts, filtering of resultant outputs, and creating a dictionary of prepositional government. After error filtering, the dictionary contains ca. 18,000 verbs along with NP/PPs governed by these verbs.</p>
</abstract>

This paper introduces a technique for automatic verbal governance extraction in the Russian language, which encapsulates information on the grammatical features of verbnoun co-occurrences, encompassing both prepositional and non-prepositional dependencies. The construction of the dictionary, a corpus of approximately 3.5 billion words was used. The proposed method involves syntactic parsing of the texts, filtering of resultant outputs, and creating a dictionary of prepositional government. After error filtering, the dictionary contains ca. 18,000 verbs along with NP/PPs governed by these verbs.

Towards a Corpus-Based Dictionary of Verbal Government for the Russian Language

Journal of Linguistics/Jazykovedný casopis

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Towards a Corpus-Based Dictionary of Verbal Government for the Russian Language"}

This paper introduces a technique for automatic verbal governance extraction in the Russian language, which encapsulates information on the grammatical...

Towards a Corpus-Based Dictionary of Verbal Government for the Russian Language

Published Online: Dec 25, 2023

Page range: 173 - 181

DOI: https://doi.org/10.2478/jazcas-2023-0035

Keywords
verbal government, automatic extraction, Russian language

© 2023 Eduard Klyshinsky et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Towards a Corpus-Based Dictionary of Verbal Government for the Russian Language

Published Online: Dec 25, 2023

Page range: 173 - 181

DOI: https://doi.org/10.2478/jazcas-2023-0035

Keywordsverbal government, automatic extraction, Russian language

© 2023 Eduard Klyshinsky et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Keywords
verbal government, automatic extraction, Russian language