In the Morpho Challenge 2009 unsupervised algorithms that provide morpheme analyses for words in different languages were evaluated in various practical applications. Morpheme ana...
Mikko Kurimo, Sami Virpioja, Ville T. Turunen, Gra...
This paper investigates a novel approach to unsupervised morphology induction relying on community detection in networks. In a first step, morphological transformation rules are a...
We adapt the cognitively-oriented morphology acquisition model proposed in (Chan 2008) to perform morphological analysis, extending its concept of base-derived relationships to all...
Constantine Lignos, Erwin Chan, Mitchell P. Marcus...
We present Promodes, an algorithm for unsupervised word decomposition, which is based on a probabilistic generative model. The model considers segment boundaries as hidden variable...
Abstract. While classical approaches to unsupervised morphology acquisition often rely on metrics based on information theory for identifying morphemes, we describe a novel approac...