Baakman, L.E.N. (2013) Influence of Zipfian Distribution on Learning Second Order Phonotactic Constraints. Bachelor's Thesis, Artificial Intelligence.
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Abstract
Previous work (Onishi et al. 2002) has shown that adult subjects can learn novel second order phonotactic constraints in an artificial language. This paper investigates if second order phonotactic constraints in an artificial language are better learned when trained with a Zipfian distribution than with an uniform distribution. Subjects listened to CVC words with second order constraints. To test their knowledge of the learned words they then listened to and repeated a superset of the learned words. This revealed no benefit of the Zipfian distribution over the uniform distribution. No evidence of second order constraint learning was found. Possible explanations are that we used too few presentations or that our language was too complex.
| Item Type: | Thesis (Bachelor's Thesis) |
|---|---|
| Degree programme: | Artificial Intelligence |
| Thesis type: | Bachelor's Thesis |
| Language: | English |
| Date Deposited: | 15 Feb 2018 07:52 |
| Last Modified: | 15 Feb 2018 07:52 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/10949 |
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