1,820 research outputs found

    MSDIP: A method for coding source domains in metaphor analysis

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    This article describes the Metaphorical Source Domain Identification Procedure (MSDIP), which can be used to code source domains in metaphor identification. In the first part of the article, we describe the complexity of source-domain coding in corpus analysis. We argue that, in many cases, discourse is underspecified and multiple source-domain candidates may be relevant for a specific metaphorical expression. For instance, if a word like “fight” or “target” is used metaphorically, it could refer to either the source domain of war or sports. To make these issues explicit for analysts, we developed MSDIP, which builds on and extends the Metaphor Identification Procedure Vrije Universiteit (MIPVU). In the second part of the article, we explain the coding steps of MSDIP and subsequently report on a reliability analysis, demonstrating the reproducibility of the procedure. We end with a number of detailed sample analyses, demonstrating the role of co-text and context in selecting the likeliest source-domain candidate through MSDIP. These analyses show that MSDIP is both reliable and flexible in dealing with the complexities of real-life discourse during source-domain coding

    Prosodic markers of satirical imitation

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    Satirical imitation is a popular format of late-night comedy shows and can provide political entertainment and education. However, little research has been conducted on how satirists mark their satirical intent to clue audiences in on their intended messaging. This study investigates the prosodic marking of satirical imitation and contrasts it with prosodic marking of irony. We conducted a detailed case study of the prosodic marking in Alec Baldwin's satirical imitation of Donald Trump in his audiobook You Can't Spell America Without Me contrasted with both Baldwin's and Trump's regular voices. The analyzed corpus contained six hours of audio material across the three sources. Through a combination of automatic and manual coding, we measured average pitch, pitch variation, and speech rate. Our analysis did not reveal marking of satirical imitation by pitch or pitch variation. The satirical imitation was only marked by a faster speech rate than both baseline voices. These findings contrast with previous studies that identified a lower pitch, less pitch variation, and a slower speech rate as markers of verbal irony. Our study provides first evidence that satirical imitation is prosodically marked differently from verbal irony, with a faster speech rate as one potential marker
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