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            <namePart type="given">Richard</namePart>
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    <abstract>In this paper, we describe “The Database of Latvian Morphemes and Derivational Models” – a large-scale corpus-based and manually validated database of Latvian derivational morphology currently in development at the University of Latvia. The database contains morpheme-level data – morphemes, incl. morpheme variants (allomorphs), morpheme types, morpheme homonymy/ homography resolu- tion, hierarchical relations between root morphemes, links to word families, and lemma-level data – incl. base form, morphemic segmentation, POS, grammatical features, derivational motivation (incl. compounding), word-family membership. The focus of the database is on providing linguistically accurate comprehensive data as a reliable basis for future work in different fields.</abstract>
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%0 Conference Proceedings
%T Database of Latvian Morphemes and Derivational Models: ideas and expected results
%A Kalnača, Andra
%A Pakalne, Tatjana
%A Levāne-Petrova, Kristīne
%Y Johansson, Richard
%Y Stymne, Sara
%S Proceedings of the Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies (NoDaLiDa/Baltic-HLT 2025)
%D 2025
%8 March
%I University of Tartu Library
%C Tallinn, Estonia
%@ 978-9908-53-109-0
%F kalnaca-etal-2025-database
%X In this paper, we describe “The Database of Latvian Morphemes and Derivational Models” – a large-scale corpus-based and manually validated database of Latvian derivational morphology currently in development at the University of Latvia. The database contains morpheme-level data – morphemes, incl. morpheme variants (allomorphs), morpheme types, morpheme homonymy/ homography resolu- tion, hierarchical relations between root morphemes, links to word families, and lemma-level data – incl. base form, morphemic segmentation, POS, grammatical features, derivational motivation (incl. compounding), word-family membership. The focus of the database is on providing linguistically accurate comprehensive data as a reliable basis for future work in different fields.
%U https://aclanthology.org/2025.nodalida-1.29/
%P 279-286

Markdown (Informal)

[Database of Latvian Morphemes and Derivational Models: ideas and expected results](https://aclanthology.org/2025.nodalida-1.29/) (Kalnača et al., NoDaLiDa 2025)

• Database of Latvian Morphemes and Derivational Models: ideas and expected results (Kalnača et al., NoDaLiDa 2025)

ACL

• Andra Kalnača, Tatjana Pakalne, and Kristīne Levāne-Petrova. 2025. Database of Latvian Morphemes and Derivational Models: ideas and expected results. In Proceedings of the Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies (NoDaLiDa/Baltic-HLT 2025), pages 279–286, Tallinn, Estonia. University of Tartu Library.