Signs & Sounds: Phonaesthematic Association of Japanese Mimetics Using Artificial Neural Networks
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2006
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Swarthmore College. Dept. of Linguistics
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Thesis (B.A.)
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en_US
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Full copyright to this work is retained by the student author. It may only be used for non-commercial, research, and educational purposes. All other uses are restricted.
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Abstract
The Japanese mimetic lexicon displays a number of phonaesthematic regularities associating phonological features with semantic characteristics. Artificial Neural Networks can be used to good effect in mapping phonological patterns onto semantic features. This paper demonstrates a proof-of-concept by training an ANN to associate phonological features with meaning to a large degree of success. Cluster analysis reveals that activation patterns for tokens matching the same phonaesthematic pattern group together. Larger corpora and more sophisticated techniques are required for further research.