Constructing a Lexical Resource of Russian Derivational Morphology
Lukáš Kyjánek, Olga Lyashevskaya, Anna Nedoluzhko, Daniil Vodolazsky, Zdeněk Žabokrtský
Abstract
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-trackable 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 evaluated on our newly created data set of manual, parallel annotation. The resulting DeriNet.RU is freely available under an open license agreement.- Anthology ID:
- 2022.lrec-1.298
- Volume:
- Proceedings of the Thirteenth Language Resources and Evaluation Conference
- Month:
- June
- Year:
- 2022
- Address:
- Marseille, France
- Editors:
- Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Jan Odijk, Stelios Piperidis
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association
- Note:
- Pages:
- 2788–2797
- Language:
- URL:
- https://aclanthology.org/2022.lrec-1.298
- DOI:
- Cite (ACL):
- Lukáš Kyjánek, Olga Lyashevskaya, Anna Nedoluzhko, Daniil Vodolazsky, and Zdeněk Žabokrtský. 2022. Constructing a Lexical Resource of Russian Derivational Morphology. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 2788–2797, Marseille, France. European Language Resources Association.
- Cite (Informal):
- Constructing a Lexical Resource of Russian Derivational Morphology (Kyjánek et al., LREC 2022)
- PDF:
- https://preview.aclanthology.org/emnlp-22-attachments/2022.lrec-1.298.pdf