The dissection and structural mapping of Cantonese sentence final particles
Dados Bibliográficos
| ID | 4094448 |
|---|---|
| Autores | Rint Sybesma (0000-0002-4366-5809), Boya Li (0009-0005-6512-4092) |
| Ano | 2007 |
| Volume | 117 |
| Fascículo | 10 |
| Páginas | 1739-1783 |
| Data de publicação | 2007-10-01 |
| Peer Reviewed | Sim |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | Lingua (JOURNAL) |
| Identificadores do periódico | ISSN: 0024-3841 • E-ISSN: 1872-6135 |
| Editora | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.lingua.2006.10.003 |
| OpenAlex | W2073809690 |
| Idioma | EN |
| Citações recebidas | 27 |
| Referências citadas | 9 |
This paper explores the possibilities of dissecting the particles that we find in sentence final position in Cantonese into sub-syllabic semantic units. After characterizing the 40-odd most common particles, we study groups of particles, which share one feature (e.g., initial g-) to see what semantic feature they have in common, as well as groups of minimal pairs (gaa3-gaa2 and ge3-ge2) to find out whether there are any correlative systemic semantic differences. We end up proposing 12 minimal semantic units, 4 initials (l, z, l/n, m), 2 rhymes (aa and o), 3 tones (1, 4, 5), 1 coda (k) and 2 such elements incorporating a tone (g3 and aa4). Aside from these, we assume that there is one default rhyme (e) and one default tone (3). In the final part of the paper, all the minimal semantic units are given a place in the structure of the sentence, notably in the CP domain
Acoustics · Coda · Feature (linguistics · Linguistics · Natural language processing · Physics · Semantic feature · Sentence · Speech recognition · Syllabic verse · Tone (literature · Computer Science · Linguistic Variation and Morphology · Mathematics · Philosophy · Phonetics and Phonology Research · Syntax, Semantics, Linguistic Variation · Artificial Intelligence
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| Obras citantes distintas | 27 |
|---|---|
| Citações por ano | 1,69 |
| Intervalo de citações | 2010 - 2025 (16) |
| Velocidade de citação | recent |
| Altamente citado | Não |
| Tipos de citação | Neutras: 27 |