SOAS Research Online

A Free Database of the Latest Research by SOAS Academics and PhD Students

[skip to content]

List, Johann-Mattis and Pathmanathan, Jananan Sylvestre and Hill, Nathan W. and Bapteste, Eric and Lopez, Philippe (2017) 'Vowel purity and rhyme evidence in Old Chinese reconstruction.' Lingua Sinica, 3 (5). pp. 1-17.

[img]
Preview
Text - Published Version
Available under License Creative Commons Attribution 4.0 (CC-BY 4.0).

Download (3MB) | Preview

Abstract

Rhyme patterns in Old Chinese poems are important for the reconstruction of Old Chinese pronunciation, as they provide evidence for groups of words which formerly had similar pronunciation. Rhyme patterns can also be used to test Old Chinese reconstruction systems for consistency and plausibility, as reconstruction systems should minimize the conflict with attested rhyme patterns. Here, we build on the idea that rhyming in Old Chinese followed the principle of vowel purity, a tendency to disallow rhymes of words with different vowels, to develop a quantitative test for reconstruction systems of Old Chinese. The test is illustrated by comparing seven different Old Chinese reconstruction systems and by showing that, although the systems differ regarding their degree of vowel purity, the principle seems to hold for Old Chinese rhyme data.

Item Type: Journal Article
SOAS Departments & Centres: Departments and Subunits > Department of East Asian Languages & Cultures
Legacy Departments > Faculty of Languages and Cultures > Department of the Languages and Cultures of China and Inner Asia
Legacy Departments > Faculty of Languages and Cultures > Department of Linguistics
ISSN: 21976678
Copyright Statement: © The Author(s) 2017. Open Access: This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
DOI (Digital Object Identifier): https://doi.org/10.1186/s40655-017-0021-8
Date Deposited: 30 Jun 2017 10:08
URI: http://eprints.soas.ac.uk/id/eprint/24293
Funders: European Union

Altmetric Data

Statistics

Download activity - last 12 months
Downloads since deposit
101Downloads
322Hits
Accesses by country - last 12 months
Accesses by referrer - last 12 months

Repository staff only

Edit Item Edit Item