@inproceedings{lameli-schonberg-2023-measure,
title = "A Measure for Linguistic Coherence in Spatial Language Variation",
author = {Lameli, Alfred and
Sch{\"o}nberg, Andreas},
editor = {Scherrer, Yves and
Jauhiainen, Tommi and
Ljube{\v{s}}i{\'c}, Nikola and
Nakov, Preslav and
Tiedemann, J{\"o}rg and
Zampieri, Marcos},
booktitle = "Tenth Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial 2023)",
month = may,
year = "2023",
address = "Dubrovnik, Croatia",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.vardial-1.13",
doi = "10.18653/v1/2023.vardial-1.13",
pages = "133--141",
abstract = "Based on historical dialect data we introduce a local measure of linguistic coherence in spatial language variation aiming at the identification of regions which are particularly sensitive to language variation and change. Besides, we use a measure of global coherence for the automated detection of linguistic items (e.g., sounds or morphemes) with higher or lesser language variation. The paper describes both the data and the method and provides analyses examples.",
}
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<abstract>Based on historical dialect data we introduce a local measure of linguistic coherence in spatial language variation aiming at the identification of regions which are particularly sensitive to language variation and change. Besides, we use a measure of global coherence for the automated detection of linguistic items (e.g., sounds or morphemes) with higher or lesser language variation. The paper describes both the data and the method and provides analyses examples.</abstract>
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%0 Conference Proceedings
%T A Measure for Linguistic Coherence in Spatial Language Variation
%A Lameli, Alfred
%A Schönberg, Andreas
%Y Scherrer, Yves
%Y Jauhiainen, Tommi
%Y Ljubešić, Nikola
%Y Nakov, Preslav
%Y Tiedemann, Jörg
%Y Zampieri, Marcos
%S Tenth Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial 2023)
%D 2023
%8 May
%I Association for Computational Linguistics
%C Dubrovnik, Croatia
%F lameli-schonberg-2023-measure
%X Based on historical dialect data we introduce a local measure of linguistic coherence in spatial language variation aiming at the identification of regions which are particularly sensitive to language variation and change. Besides, we use a measure of global coherence for the automated detection of linguistic items (e.g., sounds or morphemes) with higher or lesser language variation. The paper describes both the data and the method and provides analyses examples.
%R 10.18653/v1/2023.vardial-1.13
%U https://aclanthology.org/2023.vardial-1.13
%U https://doi.org/10.18653/v1/2023.vardial-1.13
%P 133-141
Markdown (Informal)
[A Measure for Linguistic Coherence in Spatial Language Variation](https://aclanthology.org/2023.vardial-1.13) (Lameli & Schönberg, VarDial 2023)
ACL