Abstract
dc:description.abstract<p>This dissertation analyzes the problem of metaphor identification in linguistic and computational semantics, considering both manual and automatic approaches. It describes a manual approach to metaphor identification, the Metaphoricity Measurement Procedure (MMP), and compares this approach with other manual approaches. The dissertation then describes an implemented and simplified version of the procedure, Measuring and Identifiying Metaphor-in-Language (MIMIL), and compares the premises of this system with other automatic metaphor identification systems. MIMIL and three existing metaphor identification systems are then evaluated on a common data set. Finally, the dissertation looks at difficulties which face attempts to automatically identify metaphors caused by differing conceptual systems across world varieties of English.</p>
Degree
thesis:*- Name thesis:degree_name
- Doctor of Philosophy (PhD)
- Level thesis:degree_level
- Dissertation
- Discipline thesis:degree_discipline
- English
- Year
- 2013
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Dunn, Jonathan Edwin
- Contributors dc:contributor
-
- Victor Raskin
- Shaun F. D. Hughes
- Mary K. Niepokuj
- Julia M. Taylor
Subjects
dc:subject × 4Identifiers
dc:identifier.*- Repository record dc:identifier
- https://docs.lib.purdue.edu/open_access_dissertations/188
- OAI identifier oai:identifier
- oai:docs.lib.purdue.edu:open_access_dissertations-1026