@inproceedings{mederake-etal-2026-onomasiological,
title = "Onomasiological Sense Alignment Across Dialect Dictionaries. A Taxonomy-Constrained {LLM} Classification",
author = "Mederake, Nathalie and
Urbach, Nico and
Fischer, Hanna and
Lameli, Alfred",
booktitle = "Proceedings of the 13th Workshop on {NLP} for Similar Languages, Varieties and Dialects",
month = mar,
year = "2026",
address = "Rabat, Morocco",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2026.vardial-1.10/",
pages = "123--138",
abstract = "We propose a taxonomy-guided approach to semantic alignment that assigns lexicographic senses to an onomasiological taxonomy derived from the Hallig{--}Wartburg/Post system. Using an LLM under strict taxonomic constraints, short and heterogeneous meaning descriptions are assigned to a common conceptual space. Evaluation against expert annotation shows that run-to-run model agreement (kappa = 0.73) closely matches human agreement (kappa = 0.74), with robustness at coarse taxonomic levels and predictable degradation at finer granularity. A qualitative network analysis demonstrates the resulting potential for cross-dictionary exploration of dialectal variation in semantics."
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%0 Conference Proceedings
%T Onomasiological Sense Alignment Across Dialect Dictionaries. A Taxonomy-Constrained LLM Classification
%A Mederake, Nathalie
%A Urbach, Nico
%A Fischer, Hanna
%A Lameli, Alfred
%S Proceedings of the 13th Workshop on NLP for Similar Languages, Varieties and Dialects
%D 2026
%8 March
%I Association for Computational Linguistics
%C Rabat, Morocco
%F mederake-etal-2026-onomasiological
%X We propose a taxonomy-guided approach to semantic alignment that assigns lexicographic senses to an onomasiological taxonomy derived from the Hallig–Wartburg/Post system. Using an LLM under strict taxonomic constraints, short and heterogeneous meaning descriptions are assigned to a common conceptual space. Evaluation against expert annotation shows that run-to-run model agreement (kappa = 0.73) closely matches human agreement (kappa = 0.74), with robustness at coarse taxonomic levels and predictable degradation at finer granularity. A qualitative network analysis demonstrates the resulting potential for cross-dictionary exploration of dialectal variation in semantics.
%U https://aclanthology.org/2026.vardial-1.10/
%P 123-138
Markdown (Informal)
[Onomasiological Sense Alignment Across Dialect Dictionaries. A Taxonomy-Constrained LLM Classification](https://aclanthology.org/2026.vardial-1.10/) (Mederake et al., VarDial 2026)
ACL