Many puns create humor through the relationship between a pun and its phonologically similar target. For example, in “Don’t take ge-ologists for granite” the word “granite” is a pun with the target “granted”. The recovery of the target in the mind of the listener is essential to the success of the pun. This work introduces a new model for automatic target recovery and provides the first empirical test for this task. The model draws upon techniques for automatic speech recognition using weighted finite-state transducers, and leverages automatically learned phone edit probabilities that give insight into how people perceive sounds and into what makes a good pun. The model is evaluated on a small corpus where it is able to automatically recover a large fraction of the pun targets.
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Phonological Pun-derstanding
Semantic Scholar · Computer Science · 2016
Abstract
Many puns create humor through the relationship between a pun and its phonologically similar target. For example, in “Don’t take ge-ologists for granite” the word “granite” is a pun with the target “granted”. The recovery of the target in the mind of the listener is essential to the success of the pun. This work introduces a new model for automatic target recovery and provides the first empirical test for this task. The model draws upon techniques for automatic speech recognition using weighted finite-state transducers, and leverages automatically learned phone edit probabilities that give insight into how people perceive sounds and into what makes a good pun. The model is evaluated on a small corpus where it is able to automatically recover a large fraction of the pun targets.
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