Getting attention in different languages
A usage-based approach to parenthetical look in Chinese, Dutch, English, and Italian
Datos Bibliográficos
| ID | 12859634 |
|---|---|
| Autores | Daniel Van Olmen (0000-0001-9289-9196, Lancaster University, autor de correspondencia), Vittorio Tantucci (0000-0003-4108-6552, Lancaster University) |
| Año | 2022 |
| Volumen | 19 |
| Número | 2 |
| Páginas | 141-181 |
| Fecha de publicación | 2022-03-28 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Intercultural Pragmatics (JOURNAL) |
| Identificadores de la revista | ISSN: 1612-295X • E-ISSN: 1613-365X |
| Editorial | De Gruyter (PUBLISHER • DE) |
| DOI | 10.1515/ip-2022-2001 |
| OpenAlex | W4293003800 |
| Idioma | EN |
| Citas recibidas | 16 |
| Referencias citadas | 61 |
The present article examines the broad function of attention-getting embodied by parenthetical look in Chinese, Dutch, English and Italian. It analyzes a sample of the marker’s occurrences in corpora of spontaneous conversations and of interviews and discussions in terms of a systematic typology of parameters of interactional behavior and adopts a range of statistical methods to uncover patterns of (dis)similarity. The results include, inter alia, a cross-linguistic preference for clause-initial and turn-initial/medial position, a strong association across languages with assertive and expressive speech acts and an attraction to the onset of quotations. Variation in and exceptions to these tendencies are observed too. The findings are explained with reference to phenomena such as persistence and entrenchment and contribute to a better understanding not only of attention-getting in different languages but also of intersubjectivity, constructed dialogue, and illocutional concurrences
Embodied cognition · Intersubjectivity · Linguistics · Negotiation · Preference · Similarity (geometry · Sociology · Typology · Variation (astronomy · Computer Science · Language, Discourse, Communication Strategies · Language, Metaphor, and Cognition · Mathematics · Psychology · Syntax, Semantics, Linguistic Variation · Artificial Intelligence
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| Obras citantes distintas | 16 |
|---|---|
| Citas por año | 4 |
| Intervalo de citas | 2022 - 2026 (5) |
| Velocidad de citación | current |
| Altamente citado | No |
| Tipos de cita | Neutras: 15 |