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NAACL
2003
13 years 6 months ago
Unsupervised Learning of Morphology for English and Inuktitut
We describe a simple unsupervised technique for learning morphology by identifying hubs in an automaton. For our purposes, a hub is a node in a graph with in-degree greater than o...
Howard Johnson, Joel D. Martin
CORR
2002
Springer
82views Education» more  CORR 2002»
13 years 4 months ago
Using eigenvectors of the bigram graph to infer morpheme identity
This paper describes the results of some experiments exploring statistical methods to infer syntactic categories from a raw corpus in an unsupervised fashion. It shares certain po...
Mikhail Belkin, John A. Goldsmith
ACL
2008
13 years 6 months ago
Unsupervised Multilingual Learning for Morphological Segmentation
For centuries, the deep connection between languages has brought about major discoveries about human communication. In this paper we investigate how this powerful source of inform...
Benjamin Snyder, Regina Barzilay
CLEF
2008
Springer
13 years 6 months ago
Allomorfessor: Towards Unsupervised Morpheme Analysis
Many modern natural language processing applications would benefit from automatic morphological analysis of words, especially when dealing with morphologically rich languages. Con...
Oskar Kohonen, Sami Virpioja, Mikaela Klami
CLEF
2008
Springer
13 years 6 months ago
ParaMor and Morpho Challenge 2008
ParaMor, our unsupervised morphology induction system performed well at Morpho Challenge 2008. When ParaMor's morphological analyses, which specialize at identifying inflecti...
Christian Monson, Jaime G. Carbonell, Alon Lavie, ...