From alignment of etymological data to phylogenetic inference via population genetics

Javad Nouri; Jukka Sirén; Jukka Corander; Roman Yangarber

From alignment of etymological data to phylogenetic inference via population genetics

Javad Nouri, Jukka Sirén, Jukka Corander, Roman Yangarber

Tutkimustuotos: Artikkeli kirjassa/raportissa/konferenssijulkaisussa › Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

Abstrakti

This paper presents a method for linking models for aligning linguistic etymological data with models for phylogenetic inference from population genetics. We begin with a large database of genetically related words—sets of cognates—from languages in a language family. We process the cognate sets to obtain a complete alignment of the data. We use the alignments as input to a model developed for phylogenetic reconstruction in population genetics. This is achieved via a natural novel projection of the linguistic data onto genetic primitives. As a result, we induce phylogenies based on aligned linguistic data. We place the method in the context of those reported in the literature, and illustrate its operation on data from the Uralic language family, which results in family trees that are very close to the “true” (expected) phylogenies.

Alkuperäiskieli	englanti
Otsikko	The 54th Annual Meeting of the Association for Computational Linguistics : Proceedings of the 7th Workshop on Cognitive Aspects of Computational Language Learning
Sivumäärä	11
Julkaisupaikka	Stroudsburg, PA
Kustantaja	The Association for Computational Linguistics
Julkaisupäivä	2016
Sivut	27-37
ISBN (painettu)	978-1-945626-07-4
Tila	Julkaistu - 2016
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisuussa
Tapahtuma	Cognitive Aspects of Computational Language Learning - Berlin, Saksa Kesto: 11 elok. 2016 → 11 elok. 2016 Konferenssinumero: 7

Tieteenalat

113 Tietojenkäsittely- ja informaatiotieteet

Pääsy asiakirjaan

https://aclweb.org/anthology/W/W16/W16-1905.pdf

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Proceedings of the 7th Workshop on Cognitive Aspects of Computational Language Learning

Revita: Language learning and AI
Yangarber, R., Katinskaia, A., Hou, J., Furlan, G. & Kylliäinen, I. P.
Projekti: Tutkimusprojekti
LLL: Language Learning Lab
Yangarber, R., Katinskaia, A., Hou, J., Furlan, G. & Kylliäinen, I. P.
Projekti: Tutkimusprojekti

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Nouri, J., Sirén, J., Corander, J., & Yangarber, R. (2016). From alignment of etymological data to phylogenetic inference via population genetics. teoksessa The 54th Annual Meeting of the Association for Computational Linguistics: Proceedings of the 7th Workshop on Cognitive Aspects of Computational Language Learning (Sivut 27-37). The Association for Computational Linguistics. https://aclweb.org/anthology/W/W16/W16-1905.pdf

Nouri, Javad ; Sirén, Jukka ; Corander, Jukka et al. / From alignment of etymological data to phylogenetic inference via population genetics. The 54th Annual Meeting of the Association for Computational Linguistics: Proceedings of the 7th Workshop on Cognitive Aspects of Computational Language Learning. Stroudsburg, PA : The Association for Computational Linguistics, 2016. Sivut 27-37

@inproceedings{5d7bd426e6c141f1a54af60a57e8b896,

title = "From alignment of etymological data to phylogenetic inference via population genetics",

abstract = "This paper presents a method for linking models for aligning linguistic etymological data with models for phylogenetic inference from population genetics. We begin with a large database of genetically related words—sets of cognates—from languages in a language family. We process the cognate sets to obtain a complete alignment of the data. We use the alignments as input to a model developed for phylogenetic reconstruction in population genetics. This is achieved via a natural novel projection of the linguistic data onto genetic primitives. As a result, we induce phylogenies based on aligned linguistic data. We place the method in the context of those reported in the literature, and illustrate its operation on data from the Uralic language family, which results in family trees that are very close to the “true” (expected) phylogenies.",

keywords = "113 Computer and information sciences",

author = "Javad Nouri and Jukka Sir{\'e}n and Jukka Corander and Roman Yangarber",

year = "2016",

language = "English",

isbn = "978-1-945626-07-4",

pages = "27--37",

booktitle = "The 54th Annual Meeting of the Association for Computational Linguistics",

publisher = "The Association for Computational Linguistics",

address = "United States",

note = "Cognitive Aspects of Computational Language Learning ; Conference date: 11-08-2016 Through 11-08-2016",

}

Nouri, J, Sirén, J , Corander, J & Yangarber, R 2016, From alignment of etymological data to phylogenetic inference via population genetics. julkaisussa The 54th Annual Meeting of the Association for Computational Linguistics: Proceedings of the 7th Workshop on Cognitive Aspects of Computational Language Learning. The Association for Computational Linguistics, Stroudsburg, PA, Sivut 27-37, Cognitive Aspects of Computational Language Learning, Berlin, Saksa, 11/08/2016. <https://aclweb.org/anthology/W/W16/W16-1905.pdf>

From alignment of etymological data to phylogenetic inference via population genetics. / Nouri, Javad; Sirén, Jukka ; Corander, Jukka et al.

The 54th Annual Meeting of the Association for Computational Linguistics: Proceedings of the 7th Workshop on Cognitive Aspects of Computational Language Learning. Stroudsburg, PA : The Association for Computational Linguistics, 2016. s. 27-37.

Tutkimustuotos: Artikkeli kirjassa/raportissa/konferenssijulkaisussa › Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

TY - GEN

T1 - From alignment of etymological data to phylogenetic inference via population genetics

AU - Nouri, Javad

AU - Sirén, Jukka

AU - Corander, Jukka

AU - Yangarber, Roman

N1 - Conference code: 7

PY - 2016

Y1 - 2016

N2 - This paper presents a method for linking models for aligning linguistic etymological data with models for phylogenetic inference from population genetics. We begin with a large database of genetically related words—sets of cognates—from languages in a language family. We process the cognate sets to obtain a complete alignment of the data. We use the alignments as input to a model developed for phylogenetic reconstruction in population genetics. This is achieved via a natural novel projection of the linguistic data onto genetic primitives. As a result, we induce phylogenies based on aligned linguistic data. We place the method in the context of those reported in the literature, and illustrate its operation on data from the Uralic language family, which results in family trees that are very close to the “true” (expected) phylogenies.

AB - This paper presents a method for linking models for aligning linguistic etymological data with models for phylogenetic inference from population genetics. We begin with a large database of genetically related words—sets of cognates—from languages in a language family. We process the cognate sets to obtain a complete alignment of the data. We use the alignments as input to a model developed for phylogenetic reconstruction in population genetics. This is achieved via a natural novel projection of the linguistic data onto genetic primitives. As a result, we induce phylogenies based on aligned linguistic data. We place the method in the context of those reported in the literature, and illustrate its operation on data from the Uralic language family, which results in family trees that are very close to the “true” (expected) phylogenies.

KW - 113 Computer and information sciences

UR - https://aclweb.org/anthology/W/W16/W16-1900.pdf

M3 - Conference contribution

SN - 978-1-945626-07-4

SP - 27

EP - 37

BT - The 54th Annual Meeting of the Association for Computational Linguistics

PB - The Association for Computational Linguistics

CY - Stroudsburg, PA

T2 - Cognitive Aspects of Computational Language Learning

Y2 - 11 August 2016 through 11 August 2016

ER -

Nouri J, Sirén J , Corander J , Yangarber R. From alignment of etymological data to phylogenetic inference via population genetics. julkaisussa The 54th Annual Meeting of the Association for Computational Linguistics: Proceedings of the 7th Workshop on Cognitive Aspects of Computational Language Learning. Stroudsburg, PA: The Association for Computational Linguistics. 2016. s. 27-37

From alignment of etymological data to phylogenetic inference via population genetics

Abstrakti

Tieteenalat

Pääsy asiakirjaan

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Projektit

Revita: Language learning and AI

LLL: Language Learning Lab

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