Mutual predictiveness of sound correspondences for reconstruction and language subgrouping: the case of Gyalrongic preinitials

This paper uses Gyalrongic languages, a conservative branch of Sino-Tibetan, to illustrate a new method to evaluate proto-language reconstructions in general historical linguistics and to conduct exploratory analyses in language phylogeny. It first reconstructs a proto-system of Gyalrongic preinitia...

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Main Author: Lai, Yunfan
Other Authors: School of Humanities
Format: Article
Language:English
Published: 2024
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Online Access:https://hdl.handle.net/10356/181826
https://doi.org/10.1075/dia.23025.lai
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1818262024-12-28T16:58:57Z Mutual predictiveness of sound correspondences for reconstruction and language subgrouping: the case of Gyalrongic preinitials Lai, Yunfan School of Humanities Linguistics and Multilingual Studies Arts and Humanities Sino-Tibetan Gyalrongic languages Tangut Khroskyabs (Mutual) Implicative entropy Neighbornet Historical linguistics This paper uses Gyalrongic languages, a conservative branch of Sino-Tibetan, to illustrate a new method to evaluate proto-language reconstructions in general historical linguistics and to conduct exploratory analyses in language phylogeny. It first reconstructs a proto-system of Gyalrongic preinitials and computes and compares the implicative entropies between reconstructed and modern systems. In a second step, Mutual Implicative Entropy (MIE) is used to measure genetic distances between related languages and to generate Neighbornet networks to visualize the subgrouping of Gyalrongic languages. The resulting networks are in agreement with qualitative historical linguistic analyses and allow adjustments to previous subgroupings obtained by Bayesian phylogenetic inference. Thus, this method can be used to detect nuances in lower sub-branches, which are sometimes neglected by lexicon-based methods. Using MIE in historical linguistics is therefore a quick and efficient means of checking the effectiveness of reconstructions and establishing the accurate preliminary shape of language subgrouping. Nanyang Technological University Submitted/Accepted version This research is jointly funded by the Irish Research Council under the SFI-IRC Pathway Pro- gramme (Project ID: 21/PATH-A/9374, Gyalrongic unveiled: Languages, Heritage, Ancestry; Award recipient: Yunfan Lai) and the Nanyang Assistant Professorship (NAP 2024), Nanyang Technological University, Singapore (Project ID: #024576-00001, Language evolution through trees, entropies, reconstruction and networks). 2024-12-26T02:35:45Z 2024-12-26T02:35:45Z 2024 Journal Article Lai, Y. (2024). Mutual predictiveness of sound correspondences for reconstruction and language subgrouping: the case of Gyalrongic preinitials. Diachronica. https://dx.doi.org/10.1075/dia.23025.lai 0176-4225 https://hdl.handle.net/10356/181826 10.1075/dia.23025.lai https://doi.org/10.1075/dia.23025.lai en NAP-024576-00001 Diachronica © John Benjamins Publishing Company. All rights reserved. This article may be downloaded for personal use only. Any other use requires prior permission of the copyright holder. The Version of Record is available online at http://doi.org//10.1075/dia.23025.lai. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Arts and Humanities
Sino-Tibetan
Gyalrongic languages
Tangut
Khroskyabs
(Mutual) Implicative entropy
Neighbornet
Historical linguistics
spellingShingle Arts and Humanities
Sino-Tibetan
Gyalrongic languages
Tangut
Khroskyabs
(Mutual) Implicative entropy
Neighbornet
Historical linguistics
Lai, Yunfan
Mutual predictiveness of sound correspondences for reconstruction and language subgrouping: the case of Gyalrongic preinitials
description This paper uses Gyalrongic languages, a conservative branch of Sino-Tibetan, to illustrate a new method to evaluate proto-language reconstructions in general historical linguistics and to conduct exploratory analyses in language phylogeny. It first reconstructs a proto-system of Gyalrongic preinitials and computes and compares the implicative entropies between reconstructed and modern systems. In a second step, Mutual Implicative Entropy (MIE) is used to measure genetic distances between related languages and to generate Neighbornet networks to visualize the subgrouping of Gyalrongic languages. The resulting networks are in agreement with qualitative historical linguistic analyses and allow adjustments to previous subgroupings obtained by Bayesian phylogenetic inference. Thus, this method can be used to detect nuances in lower sub-branches, which are sometimes neglected by lexicon-based methods. Using MIE in historical linguistics is therefore a quick and efficient means of checking the effectiveness of reconstructions and establishing the accurate preliminary shape of language subgrouping.
author2 School of Humanities
author_facet School of Humanities
Lai, Yunfan
format Article
author Lai, Yunfan
author_sort Lai, Yunfan
title Mutual predictiveness of sound correspondences for reconstruction and language subgrouping: the case of Gyalrongic preinitials
title_short Mutual predictiveness of sound correspondences for reconstruction and language subgrouping: the case of Gyalrongic preinitials
title_full Mutual predictiveness of sound correspondences for reconstruction and language subgrouping: the case of Gyalrongic preinitials
title_fullStr Mutual predictiveness of sound correspondences for reconstruction and language subgrouping: the case of Gyalrongic preinitials
title_full_unstemmed Mutual predictiveness of sound correspondences for reconstruction and language subgrouping: the case of Gyalrongic preinitials
title_sort mutual predictiveness of sound correspondences for reconstruction and language subgrouping: the case of gyalrongic preinitials
publishDate 2024
url https://hdl.handle.net/10356/181826
https://doi.org/10.1075/dia.23025.lai
_version_ 1820027782084689920