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        <title>Evaluating Phonetically Weighted and Unweighted Distance Measures in Dialectometry</title>
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        <namePart type="given">Alfred</namePart>
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            <title>Proceedings of the Fifteenth Language Resources and Evaluation Conference</title>
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            <namePart type="given">Stelios</namePart>
            <namePart type="family">Piperidis</namePart>
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        <name type="personal">
            <namePart type="given">Núria</namePart>
            <namePart type="family">Bel</namePart>
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        <name type="personal">
            <namePart type="given">Henk</namePart>
            <namePart type="family">van den Heuvel</namePart>
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            <namePart type="given">Nancy</namePart>
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        <name type="personal">
            <namePart type="given">Antonio</namePart>
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    <abstract>This paper compares phonetically weighted and unweighted string distance measures in dialectometry, examining how explicit phonetic modeling affects the quantitative representation of linguistic similarity. Using narrow IPA transcriptions from the German REDE corpus, we evaluate nine measures–Levenshtein distance, bigram and trigram overlap, cosine distance, Jaro-Winkler, Jaccard similarity, the Herrgen-Schmidt measure, and the Relative Identity Value–through correlational analysis, distributional comparison, stabilization testing, and multidimensional scaling. The phonetically weighted Herrgen-Schmidt measure consistently achieves the most balanced distance dispersion, earliest stabilization, and highest linguistic plausibility. Unweighted edit-based measures reproduce the same topological structure in compressed form; distributional and overlap-based metrics introduce systematic scale distortions through exaggeration or compression. These findings establish explicit phonetic weighting as a principled and analytically efficient extension of standard dialectometric procedures. Explicit phonetic weighting enhances resolution and interpretive precision without altering the underlying relational geometry of dialect classifications.</abstract>
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    <identifier type="doi">10.63317/38ndhg759wui</identifier>
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%0 Conference Proceedings
%T Evaluating Phonetically Weighted and Unweighted Distance Measures in Dialectometry
%A Lameli, Alfred
%Y Piperidis, Stelios
%Y Bel, Núria
%Y van den Heuvel, Henk
%Y Ide, Nancy
%Y Krek, Simon
%Y Toral, Antonio
%S Proceedings of the Fifteenth Language Resources and Evaluation Conference
%D 2026
%8 May
%I ELRA Language Resource Association
%C Palma de Mallorca, Spain
%F lameli-2026-evaluating
%X This paper compares phonetically weighted and unweighted string distance measures in dialectometry, examining how explicit phonetic modeling affects the quantitative representation of linguistic similarity. Using narrow IPA transcriptions from the German REDE corpus, we evaluate nine measures–Levenshtein distance, bigram and trigram overlap, cosine distance, Jaro-Winkler, Jaccard similarity, the Herrgen-Schmidt measure, and the Relative Identity Value–through correlational analysis, distributional comparison, stabilization testing, and multidimensional scaling. The phonetically weighted Herrgen-Schmidt measure consistently achieves the most balanced distance dispersion, earliest stabilization, and highest linguistic plausibility. Unweighted edit-based measures reproduce the same topological structure in compressed form; distributional and overlap-based metrics introduce systematic scale distortions through exaggeration or compression. These findings establish explicit phonetic weighting as a principled and analytically efficient extension of standard dialectometric procedures. Explicit phonetic weighting enhances resolution and interpretive precision without altering the underlying relational geometry of dialect classifications.
%R 10.63317/38ndhg759wui
%U https://aclanthology.org/2026.lrec-1.327/
%U https://doi.org/10.63317/38ndhg759wui
%P 4141-4151

Markdown (Informal)

[Evaluating Phonetically Weighted and Unweighted Distance Measures in Dialectometry](https://aclanthology.org/2026.lrec-1.327/) (Lameli, LREC 2026)

• Evaluating Phonetically Weighted and Unweighted Distance Measures in Dialectometry (Lameli, LREC 2026)

ACL

• Alfred Lameli. 2026. Evaluating Phonetically Weighted and Unweighted Distance Measures in Dialectometry. In Proceedings of the Fifteenth Language Resources and Evaluation Conference, pages 4141–4151, Palma de Mallorca, Spain. ELRA Language Resource Association.