SOAS Research Online

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

[skip to content]

List, Johann-Mattis, Hill, Nathan W. and Foster, Christopher (2019) 'Towards a standardized annotation of rhyme judgments in Chinese historical phonology (and beyond).' Journal of Language Relationship, 17 (1/2). pp. 26-43.

[img]
Preview
Text - Published Version
Download (497kB) | Preview

Abstract

Although rhyme analysis plays a crucial role in the reconstruction of Old Chinese phonol-ogy, the field has not yet developed a standardized annotation framework for rhyme judg-ments applied to Ancient Chinese texts. Building on initial attempts to standardize cross-linguistic data for the purpose of historical and typological language comparison (as part of the Cross-Linguistic Data Formats initiative), we present a proposal for consistent and trans-parent rhyme annotation. This proposal allows scholars to annotate the rhymes they identify in historical texts in such a way that the judgments can be analyzed with computational tools as well as conveniently inspected by scholars. Our framework is accompanied by software tools and exemplary datasets, which were annotated by various scholars, and reflect not only Chinese, but also contemporary poetry in different languages. In the paper, we present the framework and also point to caveats and current insufficiencies in annotation. In doing so, we hope to inspire more scholars working on Old Chinese reconstruction to share their judgments, allowing others working in the field to improve, revise, and analyze them.

Item Type: Journal Article
Keywords: Old Chinese language, Chinese rhymes, data annotation, cross-linguistic data formats.
SOAS Departments & Centres: Departments and Subunits > Department of East Asian Languages & Cultures
Departments and Subunits > School of Languages, Cultures & Linguistics > Department of Linguistics
Subjects: P Language and Literature > PL Languages and literatures of Eastern Asia, Africa, Oceania
ISSN: 22193820
Copyright Statement: © The authors, 2019. This is the published version of record. For information on re-use, please refer to the publisher’s terms and conditions.
DOI (Digital Object Identifier): https://doi.org/10.31826/jlr-2019-171-207
Date Deposited: 07 Aug 2019 14:27
URI: https://eprints.soas.ac.uk/id/eprint/31449
Funders: European Union

Altmetric Data

Statistics

Download activity - last 12 monthsShow export options
Downloads since deposit
6 month trend
130Downloads
6 month trend
317Hits
Accesses by country - last 12 monthsShow export options
Accesses by referrer - last 12 monthsShow export options

Repository staff only

Edit Item Edit Item