Kaj Syrjänen
Biographic Data
| ID | 9030515 |
|---|---|
| NAME | Kaj Syrjänen |
| GIVEN NAMES | Kaj |
| FAMILY NAME | Syrjänen |
| SIGNATURE | SYRJÄNEN K |
| AFFILIATIONS | Tampere University |
| ORCID | 0000-0002-9795-7284 |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2013 |
| LATEST PUBLICATION YEAR | 2016 |
| H-INDEX | 0 |
Applying Population Genetic Approaches within Languages
The adoption of evolutionary approaches to study language change as a type of non-biological evolution has gained increasing interest and introduced a variety of quantitative tools to linguistics. The focus has thus far mainly been on language families, or ‘linguistic macroevolution,’ and taken the shape of linguistic phylogenetics. Here we explore whether evolutionary methods could be applicable for studying intra-lingual variation (‘linguistic …
Behind Family Trees
Although it has long been recognized that the family tree model is too simplistic to account for historical connections between languages, most computational studies of language history have concentrated on tree-building methods. Here, we employ computational network methods to assess the utility of network models in comparison with tree models in studying the subgrouping of Uralic languages. We also compare basic vocabulary data with words that …
Shedding more light on language classification using basic vocabularies and phylogenetic methods
Encouraged by ongoing discussion of the classification of the Uralic languages, we investigate the family quantitatively using Bayesian phylogenetics and basic vocabulary from seventeen languages. To estimate the heterogeneity within this family and the robustness of its subgroupings, we analyse ten divergent sets of basic vocabulary, including basic vocabulary lists from the literature, lists that exclude borrowing-susceptible meanings, lists wi…
No prominent works on this page.
Shedding more light on language classification using basic vocabularies and phylogenetic methods
Encouraged by ongoing discussion of the classification of the Uralic languages, we investigate the family quantitatively using Bayesian phylogenetics and basic vocabulary from seventeen languages. To estimate the heterogeneity within this family and the robustness of its subgroupings, we analyse ten divergent sets of basic vocabulary, including basic vocabulary lists from the literature, lists that exclude borrowing-susceptible meanings, lists wi…
Behind Family Trees
Although it has long been recognized that the family tree model is too simplistic to account for historical connections between languages, most computational studies of language history have concentrated on tree-building methods. Here, we employ computational network methods to assess the utility of network models in comparison with tree models in studying the subgrouping of Uralic languages. We also compare basic vocabulary data with words that …
Applying Population Genetic Approaches within Languages
The adoption of evolutionary approaches to study language change as a type of non-biological evolution has gained increasing interest and introduced a variety of quantitative tools to linguistics. The focus has thus far mainly been on language families, or ‘linguistic macroevolution,’ and taken the shape of linguistic phylogenetics. Here we explore whether evolutionary methods could be applicable for studying intra-lingual variation (‘linguistic …
Artificial Intelligence (3 works) · Computer Science (3 works) · Language and cultural evolution (3 works) · Linguistics (3 works) · Biology (2 works) · Evolutionary biology (2 works) · Genealogy (2 works) · History (2 works) · Linguistic Variation and Morphology (2 works) · Natural Language Processing Techniques (2 works)