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- Type of Document: M.Sc. Thesis
- Language: Farsi
- Document No: 40129 (19)
- University: Sharif University of Technology
- Department: Computer Engineering
- Advisor(s): Sameti, Hossein
- Abstract:
- “Motor Theory” of speech perception discusses the role of motor competence in speech perception. Motor Competence is accessed, simulating the gestures which lead to the heard voice signals. Simulating is done using mirror neurons which share similar feelings between sender and receiver. Empathy, caused by usage of mirror neurons, probably caused some sort of link between inward motor gestures and outward semantic categories at the origin of language. Some degree of linkage between sound and meaning is what we call “Sound Symbolism”. Along with describing the link between Motor Theory and Sound Symbolism, this thesis took two approaches to analyze sound‐symbolic relations: 1) Statistical approach which concentrate on analysis of the non‐arbitrary relation between sound and meaning using hypothesis testing methods. And 2) Modeling approach which tries to justify relation construction based on phonetic similarity of words. Ability of Self‐Organizing Maps to visualize abstract relations between input data items and their neurophysiologic background, make them perfect tools of modeling cognitive information processes. To adapt SOMs to domain of Speech, a new phonetic distance measure as well as an algorithm of learning variable length strings for SOM is developed. Based on Sound Symbolism, categorizing sound‐symbolic words based on their phonological similarities would result in semantic maps, which is the main objective of this thesis
- Keywords:
- Self-Organizing Map (SOM) ; Sound Symbolism ; Motor Theory ; Semantic Symbols ; Word's Phonetic Distance
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