Constructing a Lexical Resource of Russian Derivational Morphology

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3A10457036" target="_blank" >RIV/00216208:11320/22:10457036 - isvavai.cz</a>

Result on the web

<a href="http://www.lrec-conf.org/proceedings/lrec2022/pdf/2022.lrec-1.298.pdf" target="_blank" >http://www.lrec-conf.org/proceedings/lrec2022/pdf/2022.lrec-1.298.pdf</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Constructing a Lexical Resource of Russian Derivational Morphology

Original language description

Words of any language are to some extent related thought the ways they are formed. For instance, the verb exempl-ify and the noun example-s are both based on the word example, but the verb is derived from it, while the noun is inflected. In Natural Language Processing of Russian, the inflection is satisfactorily processed; however, there are only a few machine-tractable resources that capture derivations even though Russian has both of these morphological processes very rich. Therefore, we devote this paper to improving one of the methods of constructing such resources and to the application of the method to a Russian lexicon, which results in the creation of the largest lexical resource of Russian derivational relations. The resulting database dubbed DeriNet.RU includes more than 300 thousand lexemes connected with more than 164 thousand binary derivational relations. To create such data, we combined the existing machine-learning methods that we improved to manage this goal. The whole approach is eva

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2022

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022)

ISBN

979-10-95546-72-6

ISSN

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e-ISSN

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Number of pages

10

Pages from-to

2788-2797

Publisher name

European Language Resources Association

Place of publication

Marseille, France

Event location

Marseille, France

Event date

Jun 20, 2022

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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