Electronic Resource

Information-theoretic causal inference of lexical flow

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This volume seeks to infer large phylogenetic networks from phonetically encoded lexical data and contribute in this way to the historical study of language varieties. The technical step that enables progress in this case is the use of causal inference algorithms. Sample sets of words from language varieties are preprocessed into automatically inferred cognate sets, and then modeled as information-theoretic variables based on an intuitive measure of cognate overlap. Causal inference is then applied to these variables in order to determine the existence and direction of influence among the varieties. The directed arcs in the resulting graph structures can be interpreted as reflecting the existence and directionality of lexical flow, a unified model which subsumes inheritance and borrowing as the two main ways of transmission that shape the basic lexicon of languages.

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Informasi Detail

Judul Seri

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No. Panggil

410 DEL i

Penerbit

Berlin, Germany : Language Science Press., 2019

Deskripsi Fisik

335 p.; 22 cm.

Bahasa

English

ISBN/ISSN

9783961101443

Klasifikasi

410

Tipe Isi

text

Tipe Media

computer

Tipe Pembawa

online resource

Edisi

-

Subjek

-

Info Detail Spesifik

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Pernyataan Tanggungjawab

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Versi lain/terkait

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