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COLING
1996
13 years 10 months ago
Unsupervised Discovery of Phonological Categories through Supervised Learning of Morphological Rules
We describe a case study in tit(', application of symbolic machinc learning techniques for the discow;ry of linguistic rules and categories. A supervised rule induction algor...
Walter Daelemans, Peter Berck, Steven Gillis
NIPS
2004
13 years 10 months ago
Hierarchical Distributed Representations for Statistical Language Modeling
Statistical language models estimate the probability of a word occurring in a given context. The most common language models rely on a discrete enumeration of predictive contexts ...
John Blitzer, Kilian Q. Weinberger, Lawrence K. Sa...
CORR
2002
Springer
82views Education» more  CORR 2002»
13 years 8 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 10 months ago
Unsupervised Learning of Acoustic Sub-word Units
Accurate unsupervised learning of phonemes of a language directly from speech is demonstrated via an algorithm for joint unsupervised learning of the topology and parameters of a ...
Balakrishnan Varadarajan, Sanjeev Khudanpur, Emman...
NAACL
2010
13 years 6 months ago
Improved Extraction Assessment through Better Language Models
A variety of information extraction techniques rely on the fact that instances of the same relation are "distributionally similar," in that they tend to appear in simila...
Arun Ahuja, Doug Downey