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Baley, Julien (2023) 'Evaluating Rhyme Annotations for Large Corpora: Metrics and Data.' Cahiers de Linguistique Asie Orientale, 52 (2). pp. 137-162.

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Abstract

Recent methods have been proposed to produce automatic rhyme annotators for large rhymed corpora. These methods, such as Baley (2022b) greatly reduce the cost of annotating rhymed material, allowing historical linguists to focus on the analysis of the rhyme patterns. However, evidence for the quality of those annotations has been anecdotal, consisting of a handful of individual poem case studies. This paper proposes to address the issue: first, we discuss previously proposed metrics that evaluate the quality of an annotator’s output against a ground-truth annotation (List, Hill, and Foster (2019)) and we propose an alternative metric that is better suited to the task. Then, sampling from Baley’s published annotated corpus and re-annotating it by hand, we use the sample to demonstrate the lacunae in the original approach and show how to fix them. Finally, the hand-annotated sample and source code are published as additional data, so that other researchers can compare the performance of their own annotators.

Item Type: Journal Article
Keywords: data annotation; evaluation metric; Chinese rhymes; Middle Chinese phonology; annotation de données; métrique d’évaluation; rimes du chinois; phonologie du chinois moyen
SOAS Departments & Centres: Departments and Subunits > Department of East Asian Languages & Cultures
ISSN: 01533320
DOI (Digital Object Identifier): https://doi.org/10.1163/19606028-bja10032
Date Deposited: 30 May 2023 14:58
URI: https://eprints.soas.ac.uk/id/eprint/39551
Funders: Arts and Humanities Research Council

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