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.- Anthology ID:
- 2023.vardial-1.13
- Volume:
- Tenth Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial 2023)
- Month:
- May
- Year:
- 2023
- Address:
- Dubrovnik, Croatia
- Editors:
- Yves Scherrer, Tommi Jauhiainen, Nikola Ljubešić, Preslav Nakov, Jörg Tiedemann, Marcos Zampieri
- Venue:
- VarDial
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 133–141
- Language:
- URL:
- https://aclanthology.org/2023.vardial-1.13
- DOI:
- 10.18653/v1/2023.vardial-1.13
- Cite (ACL):
- Alfred Lameli and Andreas Schönberg. 2023. A Measure for Linguistic Coherence in Spatial Language Variation. In Tenth Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial 2023), pages 133–141, Dubrovnik, Croatia. Association for Computational Linguistics.
- Cite (Informal):
- A Measure for Linguistic Coherence in Spatial Language Variation (Lameli & Schönberg, VarDial 2023)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/2023.vardial-1.13.pdf