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Computing and Language VariationInternational Journal of Humanities and Arts Computing Volume 2$
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John Nerbonne and Charlotte Gooskens

Print publication date: 2009

Print ISBN-13: 9780748640300

Published to Edinburgh Scholarship Online: September 2012

DOI: 10.3366/edinburgh/9780748640300.001.0001

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Representing Tone in Levenshtein Distance

Representing Tone in Levenshtein Distance

Chapter:
(p.205) Representing Tone in Levenshtein Distance
Source:
Computing and Language Variation
Author(s):

Cathryn Yang

Andy Castro

Publisher:
Edinburgh University Press
DOI:10.3366/edinburgh/9780748640300.003.0012

Levenshtein distance, also known as string edit distance, correlates strongly with both perceived distance and intelligibility in various Indo-European languages. This chapter describes the application of Levenshtein distance to dialect data from Bai, a Sino-Tibetan language, and Hongshuihe Zhuang, a Tai language. In applying Levenshtein distance to languages with contour tone systems, the chapter asks the following questions: How much variation in intelligibility can tone alone explain? Which representation of tone results in the Levenshtein distance that shows the strongest correlation with intelligibility test results? The chapter evaluates six representations of tone: onset, contour and offset; onset and contour only; contour and offset only; target approximation, autosegments of H (high) and L (low), and Chao's (1930) pitch numbers. For both languages, the more fully explicit onset-contour-offset and onset-contour representations show significantly stronger inverse correlations with intelligibility. This suggests that, for cross-dialectal listeners, the optimal representation of tone in Levenshtein distance should be at a phonetically explicit level and include information on both onset and contour.

Keywords:   Levenshtein distance, tone, intelligibility, Bai, Hongshuihe Zhuang, contour, autosegments, pitch numbers, onset, offset

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