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Testing Phylogenetic Algorithms in Linguistic Databases

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Information and Software Technologies (ICIST 2014)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 465))

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Abstract

Phylogenetic algorithms are a tool that is frequently used in biology and linguistics for reconstruction of the evolution trees for species or languages. However, there is no a definitely superior algorithm: various algorithms have shown the best results in various studies. In this paper we test four most popular algorithms. We make recommendations which algorithm is better to choose in different cases. In particular, the influence of the feasibility of the lexical clock hypothesis is shown. It is shown that the results are also affected by the choice of metric, and that the results can be improved by using the λ-measure instead of the Hamming’s measure. The results of the paper are obtained using both the simulation method and real data.

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© 2014 Springer International Publishing Switzerland

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Solovyev, V., Faskhutdinov, R., Bayrasheva, V. (2014). Testing Phylogenetic Algorithms in Linguistic Databases. In: Dregvaite, G., Damasevicius, R. (eds) Information and Software Technologies. ICIST 2014. Communications in Computer and Information Science, vol 465. Springer, Cham. https://doi.org/10.1007/978-3-319-11958-8_30

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  • DOI: https://doi.org/10.1007/978-3-319-11958-8_30

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11957-1

  • Online ISBN: 978-3-319-11958-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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