Fuzzy mathematical techniques with applications
Fuzzy mathematical techniques with applications
Adaptive pattern recognition and neural networks
Adaptive pattern recognition and neural networks
Algorithms in C
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
Learning internal representations by error propagation
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
Neural network learning and expert systems
Neural network learning and expert systems
Fuzzy network for decision support systems
Fuzzy Sets and Systems - Special issue on expert decision support systems
Adaptive fuzzy systems and control: design and stability analysis
Adaptive fuzzy systems and control: design and stability analysis
On the principles of fuzzy neural networks
Fuzzy Sets and Systems
Generating fuzzy membership functions: a monotonic neural network model
Fuzzy Sets and Systems
Generalization of an invertible mapping between probability and possibility
Fuzzy Sets and Systems
Fuzzy neural networks: a survey
Fuzzy Sets and Systems
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
A Computational Approach to Grammatical Coding of English Words
Journal of the ACM (JACM)
Fuzzy Sets and Systems: Theory and Applications
Fuzzy Sets and Systems: Theory and Applications
Introduction to the special issue on computational linguistics using large corpora
Computational Linguistics - Special issue on using large corpora: I
Building a large annotated corpus of English: the penn treebank
Computational Linguistics - Special issue on using large corpora: II
Tagging English text with a probabilistic model
Computational Linguistics
A stochastic parts program and noun phrase parser for unrestricted text
ANLC '88 Proceedings of the second conference on Applied natural language processing
A simple rule-based part of speech tagger
ANLC '92 Proceedings of the third conference on Applied natural language processing
A syntax-based part-of-speech analyser
EACL '95 Proceedings of the seventh conference on European chapter of the Association for Computational Linguistics
Part-of-speech tagging with neural networks
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 1
Translation selection through source word sense disambiguation and target word selection
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
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Recently, most part-of-speech tagging approaches, such as rule-based, probabilistic and neural network approaches, have shown very promising results. In this paper, we are particularly interested in probabilistic approaches, which usually require lots of training data to get reliable probabilities. We alleviate such a restriction of probabilistic approaches by introducing a fuzzy network model to provide a method for estimating more reliable parameters of a model under a small amount of training data. Experiments with the Brown corpus show that the performance of the fuzzy network model is much better than that of the hidden Markov model under a limited amount of training data.