SYNAMET — A MICROCORPUS OF SYNESTHETIC METAPHORS. PRELIMINARY PREMISES OF THE DESCRIPTION OF METAPHOR IN DISCOURSE Cover Image

SYNAMET — A MICROCORPUS OF SYNESTHETIC METAPHORS. PRELIMINARY PREMISES OF THE DESCRIPTION OF METAPHOR IN DISCOURSE
SYNAMET — A MICROCORPUS OF SYNESTHETIC METAPHORS. PRELIMINARY PREMISES OF THE DESCRIPTION OF METAPHOR IN DISCOURSE

Author(s): Magdalena Zawisławska
Subject(s): Theoretical Linguistics, Lexis, Semantics
Published by: Instytut Slawistyki Polskiej Akademii Nauk
Keywords: metaphor; corpus; synesthesia; frames;

Summary/Abstract: This article describes the preliminary premises of metaphor annotation in SYNAMET — the developing microcorpus of synesthetic metaphors. The analysis is based on the CLST theory (Context-Limited Simulation Theory) put forward by D. Ritchie. According to this theory, the metaphor’s vehicle may activate various types of associations between words: semantic relations, perceptual sensations, or emotional simulations. The range of potential associations evoked by the vehicle is limited by the topic, i.e. the lexical context in which the metaphor appears. The relations between the vehicle and the topic may be presented in the form of a semantic frame. To reconstruct the frames within the project, linguistic works devoted to sensory perceptionvision, hearing, smell and taste- will be utilized. The corpus annotation will consist of the following stages: 1) metaphor identification 2) indication of the metaphor cluster (CM) — a phrase or a passage of the text, centered around one referent 3) isolation of the metaphorical units (MU) — word forms or phrases combining lexemes primarily belonging to different perceptual frames. The outcome of the MU analysis will include: a general metaphorical scheme of the MU, lexical items activating the frame of the MU (together with their grammatical description), a detailed metaphor scheme of the MU, and the semantic and grammatical categorization of the MU.

  • Issue Year: 2016
  • Issue No: 16
  • Page Range: 107-118
  • Page Count: 12
  • Language: English
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