Verb classes in Adyghe
Derivational vs. nonderivational criteria
Bibliographic Data
| ID | 3988115 |
|---|---|
| Authors | Alexander Letuchiy (0000-0002-4151-2550, corresponding author) |
| Year | 2013 |
| Volume | 51 |
| Issue | 4 |
| Publication date | 2013-01-28 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Linguistics (JOURNAL) |
| Journal identifiers | ISSN: 0024-3949 • E-ISSN: 1613-396X |
| Publisher | Walter de Gruyter GmbH (PUBLISHER • DE) |
| DOI | 10.1515/ling-2013-0029 |
| OpenAlex | W2313179159 |
| Language | EN |
| Citations received | 6 |
In my paper, two variants of verb classification in Adyghe, a language of the West Caucasian family, are discussed. The first variant is a purely morphological classification based on the choice of person cross-referencing prefixes. The second one is a derivational classification which builds on the morphological mechanisms of reciprocalization and reflexivization. The main research question which lies behind my study is whether verbs derived by means of a derivational marker, for instance, a possibilitive one, behave in the course of other valency-changing operations differently from nonderived verbs. I will show that verb classification in Adyghe has some typologically peculiar properties, the main one being that the derivational classification distinguishes more specific classes than the purely morphological one. In other words, the fact that a verb is derived and how it is derived is crucial for its behavior. The language-specific properties of Adyghe are also typologically relevant. They show that derived verbs and derivational mechanisms are of particular relevance in verb classification and should be given more attention in linguistic work on verb classification than is currently done
Linguistics · Natural language processing · Prefix · Valency · Verb · Artificial Intelligence · Computer Science · Linguistics and Discourse Analysis · Linguistics, Language Diversity, and Identity · Philosophy · Psychology · Syntax, Semantics, Linguistic Variation
| Citations per year | 1 |
|---|---|
| Citation span | 2020 - 2021 (2) |
| Highly cited | No |