Predicting mutual intelligibility of Chinese dialects from multiple objective linguistic distance measures
Datos Bibliográficos
| ID | 3989166 |
|---|---|
| Autores | Chaoju Tang (0009-0001-5181-3322, University of Electronic Science and Technology of China), Vincent J Van Heuven (0000-0003-3631-5699, Leiden University, autor de correspondencia) |
| Año | 2015 |
| Volumen | 53 |
| Número | 2 |
| Fecha de publicación | 2015-01-01 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Linguistics (JOURNAL) |
| Identificadores de la revista | ISSN: 0024-3949 • E-ISSN: 1613-396X |
| Editorial | Walter de Gruyter GmbH (PUBLISHER • DE) |
| DOI | 10.1515/ling-2015-0005 |
| OpenAlex | W2314208494 |
| Idioma | EN |
| Citas recibidas | 22 |
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 distintas | 22 |
|---|---|
| Citas por año | 1,69 |
| Intervalo de citas | 2013 - 2026 (14) |
| Velocidad de citación | current |
| Altamente citado | No |
| Tipos de cita | Neutras: 17 |