Towards a Derivational Semantics Resource for Latvian

Ilze Lokmane, Mikus Grasmanis, Agute Klints, Gunta Nešpore-Bērzkalne, Pēteris Paikens, Lauma Pretkalniņa, Laura Rituma, Madara Stāde, Evelīna Tauriņa


Abstract
In this paper we describe the implementation of the first structured resource of semantic derivational links for Latvian, basing it on the largest online dictionary Tēzaurs.lv and linking it to the Latvian WordNet. We separate two kinds of derivational links: semantic derivation links between senses and morphological derivation links between lexemes. The semantic links between senses are defined as a pair of semantic labels assigned to both ends of the link. The process of semantic linking involves revising the sense inventory of both the base word and the derivative, defining semantic labels for lexemes of four basic word classes – nouns, verbs, adjectives and adverbs, and adding the appropriate labels to the corresponding senses. We exemplify our findings with a detailed representation of sense relations between a base verb and its nominal derivatives.
Anthology ID:
2025.nodalida-1.39
Volume:
Proceedings of the Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies (NoDaLiDa/Baltic-HLT 2025)
Month:
march
Year:
2025
Address:
Tallinn, Estonia
Editors:
Richard Johansson, Sara Stymne
Venue:
NoDaLiDa
SIG:
Publisher:
University of Tartu Library
Note:
Pages:
359–366
Language:
URL:
https://preview.aclanthology.org/Author-page-Marten-During-lu/2025.nodalida-1.39/
DOI:
Bibkey:
Cite (ACL):
Ilze Lokmane, Mikus Grasmanis, Agute Klints, Gunta Nešpore-Bērzkalne, Pēteris Paikens, Lauma Pretkalniņa, Laura Rituma, Madara Stāde, and Evelīna Tauriņa. 2025. Towards a Derivational Semantics Resource for Latvian. In Proceedings of the Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies (NoDaLiDa/Baltic-HLT 2025), pages 359–366, Tallinn, Estonia. University of Tartu Library.
Cite (Informal):
Towards a Derivational Semantics Resource for Latvian (Lokmane et al., NoDaLiDa 2025)
Copy Citation:
PDF:
https://preview.aclanthology.org/Author-page-Marten-During-lu/2025.nodalida-1.39.pdf