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037 _5BiblioBoard
245 0 0 _aInformation-theoretic causal inference of lexical flow
_cJohannes Dellert.
020 _a9783961101436
024 8 _ahttps://doi.org/10.5281/zenodo.3247415
029 1 _ahttps://library.biblioboard.com/ext/api/media/56fc551b-3683-4ead-b386-ca765de1b00c/assets/thumbnail.jpg
040 _aScCtBLL
_cScCtBLL
100 1 _aDellert, Johannes
_eauthor.
264 1 _bLanguage Science Press,
300 _a1 online resource (1 p.)
490 1 _aLanguage Variation
506 0 _aAccess copy available to the general public.
_fUnrestricted
_2star
520 _aThis 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.
588 0 _aDescription based on print version record.
590 _aLanguage Science Press 2018-2020
650 7 _aLanguage Arts & Disciplines / Linguistics
_2bisacsh
650 0 _aLanguage arts
655 0 _aElectronic books.
758 _iIs found in:
_aKnowledge Unlatched
_1https://openresearchlibrary.org/module/2774bc74-146a-484f-a7ba-ab1d6a09bbfb
830 0 _aLanguage Variation
856 4 0 _uhttps://openresearchlibrary.org/content/56fc551b-3683-4ead-b386-ca765de1b00c
_zView this content on Open Research Library.
_70
999 _c32702
_d32702