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.
","abstract_html":"<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>","abstract_has_math":false,"creators":["Dunn, Jonathan Edwin"],"institution":null,"degree_name":"Doctor of Philosophy (PhD)","degree_level":"Dissertation","degree_discipline":"English","degree_department":null,"school":null,"contributors":["Victor Raskin","Shaun F. D. Hughes","Mary K. Niepokuj","Julia M. Taylor"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2013,"date_issued":"2013-10-01T07:00:00Z","date_published":"2013-10-01T07:00:00Z","updated_at":"2026-07-24T03:53:02Z","subjects":["metaphor","language","literature","linguistics"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://docs.lib.purdue.edu/open_access_dissertations/188","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Victor Raskin","Shaun F. D. Hughes","Mary K. Niepokuj","Julia M. Taylor"]},{"key":"dc:creator","label":"Author","values":["Dunn, Jonathan Edwin"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"thesis:degree_discipline","label":"Discipline","values":["English"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Doctor of Philosophy (PhD)"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["metaphor","language","literature","linguistics"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://docs.lib.purdue.edu/open_access_dissertations/188"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["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.
"]},{"key":"dc:title","label":"Title","values":["Automatic Identification of Metaphoric Utterances"]}]}],"canonical_facts":{"dc:contributor":["Victor Raskin","Shaun F. D. Hughes","Mary K. Niepokuj","Julia M. Taylor"],"dc:creator":["Dunn, Jonathan Edwin"],"dc:description.abstract":["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.
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