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Predicting mutual intelligibility of Chinese dialects from multiple objective linguistic distance measures

Dados Bibliográficos

ID3989166
AutoresChaoju Tang (0009-0001-5181-3322, University of Electronic Science and Technology of China), Vincent J Van Heuven (0000-0003-3631-5699, Leiden University, autor correspondente)
Ano2015
Volume53
Fascículo2
Data de publicação2015-01-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoLinguistics (JOURNAL)
Identificadores do periódicoISSN: 0024-3949 • E-ISSN: 1613-396X
EditoraWalter de Gruyter GmbH (PUBLISHER • DE)
DOI10.1515/ling-2015-0005
OpenAlexW2314208494
IdiomaEN
Citações recebidas22

This paper predicts the mutual intelligibility of 15 Chinese dialects from multiple objective distance measures. Empirical mutual intelligibility measures were obtained from functional intelligibility tests at the sentence level from 15 listeners for each of 15 Chinese dialects. We computed various proximity measures on the basis of shared phonemes and tones in the sound inventories of the 15 dialects. Next, Levenshtein (string-edit) distance measures were computed on the 764 common syllabic units

Intelligibility (philosophy) · Levenshtein distance · Linguistics · Natural language processing · Sentence · Speech recognition · Syllabic verse · Computer Science · Linguistic Variation and Morphology · Natural Language Processing Techniques · Philosophy · Phonetics and Phonology Research · Psychology

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Obras citantes distintas22
Citações por ano1,69
Intervalo de citações2013 - 2026 (14)
Velocidade de citaçãocurrent
Altamente citadoNão
Tipos de citaçãoNeutras: 17
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