Basque question particles
Implications for a syntax of discourse particles
Bibliographic Data
| ID | 4567839 |
|---|---|
| Authors | Andreas Trotzke (0000-0002-3943-4282, University of Konstanz, corresponding author), Sergio Monforte (0000-0003-1995-6355, University of the Basque Country) |
| Year | 2019 |
| Volume | 19 |
| Issue | 2 |
| Pages | 352-385 |
| Publication date | 2019-12-10 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Linguistic Variation (JOURNAL) |
| Journal identifiers | ISSN: 2211-6834 • E-ISSN: 2211-6842 |
| Publisher | John Benjamins Publishing Company (PUBLISHER • NL) |
| DOI | 10.1075/lv.18002.tro |
| OpenAlex | W2955041543 |
| Language | EN |
| Citations received | 6 |
| References cited | 53 |
In this paper, we focus on the syntax of question particles in Basque and provide an account that draws new parallels between the syntactic behavior of discourse particles in Basque and some recent findings that have been reported for the German language, perhaps the most studied language of all when it comes to discourse particles. In particular, after having argued for a syntactic perspective on discourse particles for German, we deal with Basque particles in bothwh-questions and polar questions. Forwh-questions, we provide evidence for the claim that the particleoteoccupies an IP/TP-internal particle position and, when attaching to awh-element, can serve to form emphatic questions of the type that have also been observed in German. In the context of polar questions, we demonstrate that there are two distinct positions for discourse particles in central and eastern dialects of Basque: one inside the IP/TP-domain and one in the left periphery of the clause. Again, we indicate relevant cross-linguistic parallels, thereby dealing with Basque discourse particles from the perspective of a cross-linguistic syntax of particle elements
German · Linguistics · Parallels · Physics · Sociology · Syntax · Computer Science · History · Linguistic Variation and Morphology · Philosophy · Phonetics and Phonology Research · Syntax, Semantics, Linguistic Variation · Artificial Intelligence
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| Citations per year | 0.86 |
|---|---|
| Citation span | 2019 - 2025 (7) |
| Highly cited | No |