Analysis of Karelian Dialect Division Based on Algorithmic Clustering
Bibliographic Data
| ID | 21574940 |
|---|---|
| Authors | I P Novak (0000-0002-9436-9460), I L Novak, Martti Penttonen |
| Year | 2021 |
| Volume | 57 |
| Issue | 2 |
| Pages | 81-101 |
| Publication date | 2021-06-17 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Linguistica Uralica (JOURNAL) |
| Journal identifiers | ISSN: 0868-4731 • E-ISSN: 1736-7506 |
| Publisher | Estonian Academy Publishers (PUBLISHER • EE) |
| DOI | 10.3176/lu.2021.2.01 |
| OpenAlex | W3175089494 |
| Language | EN |
| Citations received | 2 |
The article presents an algorithm for clustering dialects by similarity of data in the dialect atlas of the Karelian language (Ð Ñ Ð±Ñ Ð ̧Ñ , Ð ÐμÐ»Ñ ÐoÐ3⁄4Ð2, Ð Ñ Ð1⁄2жР̧Ð1⁄2а 1997). By repeating the procedure we get a hierarchy of dialects. Cluster hierarchies can be based on all maps of the Atlas, or on any subset of maps, e.g. morphology, noun inflection, or vocabulary maps. As an example, we consider clusters based on sibilants, local cases, and all maps of the Atlas. An analysis of the clusters, with reference to linguistic literature, leads to the following conclusions: Karelian dialects can be divided into two main areas, Karelian Proper and Livvi-Ludic areas. Border Karelian dialects, which are relatively similar to each other, seem more like Livvi Karelian than Karelian Proper. On the other hand, the traditional volost based division of Karelian dialects turns out to be too fine-grained to reveal any significant differences
Arithmetic · Cluster analysis · Linguistics · Natural language processing · Computer Science · History · Linguistics and Cultural Studies · Mathematics · Natural Language Processing Techniques · Philosophy · Artificial Intelligence
| Citations per year | 0.5 |
|---|---|
| Citation span | 2022 - 2023 (2) |
| Highly cited | No |