Probabilistic learning algorithms and optimality theory
This article provides a critical assessment of the Gradual Learning Algorithm (GLA) for probabilistic optimality-theoretic (OT) grammars proposed by Boersma and Hayes (2001). We discuss the limitations of a standard algorithm for OT learning and outline how the GLA attempts to overcome these limitat...
| Main Authors: | , |
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| 格式: | Journal article |
| 語言: | English |
| 出版: |
2002
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