2017
DOI: 10.48550/arxiv.1712.01719
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Phylogenetics of Indo-European Language families via an Algebro-Geometric Analysis of their Syntactic Structures

Abstract: Using Phylogenetic Algebraic Geometry, we analyze computationally the phylogenetic tree of subfamilies of the Indo-European language family, using data of syntactic structures. The two main sources of syntactic data are the SSWL database and Longobardi's recent data of syntactic parameters. We compute phylogenetic invariants and estimates of the Euclidean distance functions for two sets of Germanic languages, a set of Romance languages, a set of Slavic languages and a set of early Indo-European languages, and … Show more

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Cited by 2 publications
(19 citation statements)
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“…Using these invariants and estimates of the Euclidean distance in the ambient affine space between the point P and the phylogenetic variety V T , a best candidate tree is chosen. As shown in [37], trees that were reconstructed via this method from SSWL and LanGeLin data were correctly corresponding to the actual phylogenetic trees known to historical linguists. The authors also argued that this method is better at generating phylogenetic trees from syntactic parameters than other distance based methods.…”
Section: Language Relatedness Trees From Persistent Componentsmentioning
confidence: 79%
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“…Using these invariants and estimates of the Euclidean distance in the ambient affine space between the point P and the phylogenetic variety V T , a best candidate tree is chosen. As shown in [37], trees that were reconstructed via this method from SSWL and LanGeLin data were correctly corresponding to the actual phylogenetic trees known to historical linguists. The authors also argued that this method is better at generating phylogenetic trees from syntactic parameters than other distance based methods.…”
Section: Language Relatedness Trees From Persistent Componentsmentioning
confidence: 79%
“…This finding will be confirmed, by different methods, in the present paper. The results of [37] show that both dataset perform reasonably well in terms of phylogenetic reconstruction, provided some care is taken into dealing with the lacunae of the SSWL data, but still with a tendency for the LanGeLin dataset to have better performance. Again we will confirm here, with a different method, that the LanGeLin data behave better in terms of phylogenetic reconstruction, although the trees we construct in this paper should not be regarded as phylogenetic trees but as hierarchical clustering structures of syntactic features.…”
Section: Introductionmentioning
confidence: 95%
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