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...
| المؤلفون الرئيسيون: | , |
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| التنسيق: | Journal article |
| اللغة: | English |
| منشور في: |
2002
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