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Unsupervised learning of agglutinated morphology using nested Pitman-Yor process based morpheme induction algorithm
2015
2015 International Conference on Asian Language Processing (IALP)
In this paper we describe a method to morphologically segment highly agglutinating and inflectional languages from Dravidian family. We use nested Pitman-Yor process to segment long agglutinated words into their basic components, and use a corpus based morpheme induction algorithm to perform morpheme segmentation. We test our method in two languages, Malayalam and Kannada and compare the results with Morfessor.
doi:10.1109/ialp.2015.7451528
dblp:conf/ialp/KumarPO15
fatcat:feva73iv25c53nz2jhipjzkx7i