Techniques for automatically correcting words in text
ACM Computing Surveys (CSUR)
Statistical methods for speech recognition
Statistical methods for speech recognition
Stochastic Complexity in Statistical Inquiry Theory
Stochastic Complexity in Statistical Inquiry Theory
Probabilistic Automaton Model for Fuzzy English-Text Retrieval
ECDL '00 Proceedings of the 4th European Conference on Research and Advanced Technology for Digital Libraries
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When classifying a sequence of objects, in an ordinary classification, where objects are assumed to be independently drawn from identical information sources, each object is classified independently. This assumption often causes deterioration in the accuracy of classification. In this paper, we consider a method to classify objects in a sequence by taking account of the context of the sequence. We define this problem as component classification and present a dynamic programming algorithm where a hidden Markov model is used to describe the probability distribution of the object sequences. We show the effectiveness of the component classification experimentally, using musical structure analysis.