Literature DB >> 28252994

Reading homophone puns: Evidence from eye tracking.

Debra Jared1, Sarah Bainbridge1.   

Abstract

We investigated how readers make sense of homophone puns (e.g., The butcher was very glad we could meat up) by tracking their eye movements as they read. Comparison sentences included homophone-error sentences in which the presented homophone was also not correct (e.g., The lawyer was very glad we could meat up) and sentences in which the homophone was correct for the context (e.g., The butcher was very glad to chop meat up for the stew). An effect of the frequency of the unpresented homophone mate (e.g., meet) was found on first-pass reading times for homophones, indicating that participants activated the meaning of the homophone mate through shared phonology. First-fixation and gaze durations on the homophones were longer in puns than in correct-context sentences, indicating that participants immediately noticed that the homophone was incongruous with the adjacent context (e.g., glad we could meat) in puns, but total reading times did not differ, suggesting that the incongruity was quickly resolved. Immediate reading times on homophone in puns and homophone-error sentences did not differ, but total reading times did, suggesting that the impact of the critical context word (e.g., butcher) is delayed. Further analyses examined the resolution process in more detail. Ratings of the funniness of the puns were most strongly related to the strength of the association between the homophone and the critical context word (e.g., butcher). (PsycINFO Database Record (c) 2017 APA, all rights reserved).

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Year:  2017        PMID: 28252994     DOI: 10.1037/cep0000109

Source DB:  PubMed          Journal:  Can J Exp Psychol        ISSN: 1196-1961


  2 in total

1.  Contextual Support for Less Salient Homophones and Pun Humor Appreciation: Evidence From Eye Movements in Reading Chinese Homophone Puns.

Authors:  Wei Zheng; Xiaolu Wang
Journal:  Front Psychol       Date:  2022-05-11

2.  The processing of pseudoword form and meaning in production and comprehension: A computational modeling approach using linear discriminative learning.

Authors:  Yu-Ying Chuang; Marie Lenka Vollmer; Elnaz Shafaei-Bajestan; Susanne Gahl; Peter Hendrix; R Harald Baayen
Journal:  Behav Res Methods       Date:  2021-06
  2 in total

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