dc.contributor.author | Endresen, Anna | |
dc.date.accessioned | 2015-10-07T08:22:37Z | |
dc.date.available | 2015-10-07T08:22:37Z | |
dc.date.issued | 2015-07 | |
dc.description.abstract | Many key concepts that modern linguistics operates with were first introduced in the Structuralist Era, the time when linguists believed in clear-cut oppositions and privative features and did not have access to large electronic corpora. Today, when we apply these Structuralist concepts to linguistic data, which is gradient in nature, we encounter a gap between the data and our theory. I argue that it is now high time to update the old classical linguistic concepts with regard to 1) big authentic data and 2) new robust methodology of qualitative and quantitative analyses. I demonstrate this idea by looking at the concept of allomorphy, crucial for understanding the morpheme and the asymmetry between form and meaning. I will draw much attention to the role of semantics in the allomorphic relationship which has been largely underestimated. | en_US |
dc.description | Part of The 13th International Cognitive Linguistics Conference on 20-25 July 2015, at Northumbria University, Newcastle upon Tyne, UK. | en_US |
dc.identifier.citation | CLEAR (Cognitive Linguistics Empirical Approaches to Russian) the 13th International Cognitive Linguistics Conference. | en_US |
dc.identifier.cristinID | FRIDAID 1254921 | |
dc.identifier.uri | https://hdl.handle.net/10037/8196 | |
dc.identifier.urn | URN:NBN:no-uit_munin_7779 | |
dc.language.iso | eng | en_US |
dc.publisher | UiT Norges arktiske universitet | en_US |
dc.publisher | UiT The Arctic University of Norway | en_US |
dc.rights.accessRights | openAccess | |
dc.subject | VDP::Humanities: 000::Linguistics: 010 | en_US |
dc.subject | VDP::Humaniora: 000::Språkvitenskapelige fag: 010 | en_US |
dc.subject | Allomorphy | en_US |
dc.subject | semantic dissimilation | en_US |
dc.subject | distributional overlap | en_US |
dc.subject | Russian prefixes | en_US |
dc.title | Allomorphy: Old Concept, Big Data, New Model | en_US |
dc.type | Conference object | en_US |
dc.type | Konferansebidrag | en_US |