@inproceedings{scherrer-kuparinen-2025-interactive,
title = "Interactive maps for corpus-based dialectology",
author = "Scherrer, Yves and
Kuparinen, Olli",
editor = "Johansson, Richard and
Stymne, Sara",
booktitle = "Proceedings of the Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies (NoDaLiDa/Baltic-HLT 2025)",
month = mar,
year = "2025",
address = "Tallinn, Estonia",
publisher = "University of Tartu Library",
url = "https://preview.aclanthology.org/Author-page-Marten-During-lu/2025.nodalida-1.64/",
pages = "634--638",
ISBN = "978-9908-53-109-0",
abstract = "Traditional data collection methods in dialectology rely on structured surveys, whose results can be easily presented on printed or digital maps. But in recent years, corpora of transcribed dialect speech have become a precious alternative data source for data-driven linguistic analysis. For example, topic models can be advantageously used to discover both general dialectal variation patterns and specific linguistic features that are most characteristic for certain dialects. Multilingual (or rather, multilectal) language modeling tasks can also be used to learn speaker-specific embeddings. In connection with this paper, we introduce a website that presents the results of two recent studies in the form of interactive maps, allowing visitors to explore the effects of various parameter settings. The website covers two tasks (topic models and speaker embeddings) and three language areas (Finland, Norway, and German-speaking Switzerland). It is available at https://www.corcodial.net/ ."
}
Markdown (Informal)
[Interactive maps for corpus-based dialectology](https://preview.aclanthology.org/Author-page-Marten-During-lu/2025.nodalida-1.64/) (Scherrer & Kuparinen, NoDaLiDa 2025)
ACL
- Yves Scherrer and Olli Kuparinen. 2025. Interactive maps for corpus-based dialectology. In Proceedings of the Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies (NoDaLiDa/Baltic-HLT 2025), pages 634–638, Tallinn, Estonia. University of Tartu Library.