Towards a Malay derivational lexicon: learning affixes using expectation maximization

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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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Bibliographic Details
Main Authors:	Sulaiman, Suriani, Gasser, Michael, Kubler, Sandra
Format:	Proceeding Paper
Language:	English
Published:	2011
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://irep.iium.edu.my/32082/ http://irep.iium.edu.my/32082/1/W11-3005.pdf

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