Towards a Malay derivational lexicon: learning affixes using expectation maximization
We propose an unsupervised training method to guide the learning of Malay derivational morphology from a set of morphological segmentations produced by a na¨ıve morphological analyzer. Using a morphology-based language model, we first estimate the probability of a given segmentation. We train the...
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| Main Authors: | , , |
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| Format: | Proceeding Paper |
| Language: | en |
| Published: |
2011
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/32082/1/W11-3005.pdf http://irep.iium.edu.my/32082/ http://aclweb.org/anthology//W/W11/W11-3005.pdf |
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