Information-structural restrictions on Ā-scrambling
Datos Bibliográficos
| ID | 20344266 |
|---|---|
| Autores | Ad Neeleman (0000-0002-0850-9122, University College London, autor de correspondencia), Hans Van De Koot (0000-0002-1140-9659, University College London) |
| Año | 2010 |
| Volumen | 27 |
| Número | 3 |
| Fecha de publicación | 2010-01-01 |
| Peer Reviewed | Sí |
| Open Access | No |
| Tipo | ARTICLE |
| Revista | The Linguistic Review (JOURNAL) |
| Identificadores de la revista | ISSN: 0167-6318 • E-ISSN: 1613-3676 |
| Editorial | Walter de Gruyter GmbH (PUBLISHER • DE) |
| DOI | 10.1515/tlir.2010.014 |
| OpenAlex | W2023173111 |
| Idioma | EN |
| Citas recibidas | 5 |
| Referencias citadas | 6 |
Ā-scrambling in Dutch gives rise to ungrammaticality if it places an element subordinate in information structure in a position where it c-commands a superordinate element, even though a base-generated configuration of this type is well-formed. We propose an account of this phenomenon based on two claims: (i) Ā-scrambling is a scope-marking movement and (ii) scope-extending movement creates a barrier for QR. The bulk of our evidence comes from interactions between topics and foci, but we also consider interactions between foci that are in a superordinate/subordinate relation from an information-structural perspective. Exploration of the focus data reveals a further constraint that affects foci accompanied by a focus-sensitive particle: their surface c-command relations must directly correspond to their information-structural position, even if no Ā-scrambling takes place. We argue that this is because QR cannot pied-pipe focus-sensitive particles, possibly because it involves feature movement
Algorithm · Geometry · Information Structure · Linguistics · Physics · Political science · Scrambling · Superordinate goals · Computer Science · Law · Mathematics · Natural Language Processing Techniques · Philosophy · Phonetics and Phonology Research · Psychology · Social Psychology · Syntax, Semantics, Linguistic Variation · Artificial Intelligence
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| Obras citantes distintas | 5 |
|---|---|
| Citas por año | 0,38 |
| Intervalo de citas | 2013 - 2025 (13) |
| Velocidad de citación | recent |
| Altamente citado | No |
| Tipos de cita | Neutras: 5 |