Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/139644
Title: Bone apple tea, bon appetit : a Python-led analysis of English malapropisms posted on Reddit
Authors: Teo, Wenqi
Keywords: Humanities::Linguistics::Sociolinguistics::Computational linguistics
Issue Date: 2020
Publisher: Nanyang Technological University
Abstract: Malapropisms are real whole word substitution errors that sound absurd in context, thus inducing humorous effect. This linguistic phenomenon occurs frequently online and are specially noted by an online community on the Reddit forum platform, aptly named after a common malapropism, r/BoneAppleTea (Bone Apple Tea = bon appetit). This project hypothesises that phonetic distance is a crucial contributing factor in determining the popularity ranking of malapropisms on r/BoneAppleTea. By employing several Python-based resources and dictionaries, this project seeks to find the phonetic distance between the broad phonetic transcription of submitted malapropisms and the intended words. Two variants of edit distance were employed: Levenshtein distance and weighted feature edit distance. This study suggests that the weighted feature edit distance method is more suited to derive phonetic distance values than the commonly used Levenshtein distance. Furthermore, it is suggested that phonetic distance has a weak positive correlation to the score of malapropisms on Reddit. This study also indicates future areas of research regarding online malapropisms.
URI: https://hdl.handle.net/10356/139644
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SoH Student Reports (FYP/IA/PA/PI)

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HG4099_Malapropisms_levenshtein and weighted edit distance_output_Teo Wenqi.xlsx
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HG4099_FYP_Teo Wenqi_U1630173L.pdf
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