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What is zero frequency model in Markov model in text compression? 

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Proceedings ArticleDOI
01 Dec 2008
7 Citations
The experimental results of the implemented model gives better compression for small text files using optimum resources.
The lower computational complexity and easily controllable parameters of the model makes it a more useful model as compared to the conventional Markov random field-based models.
Proceedings ArticleDOI
Craig G. Nevill-Manning, Ian H. Witten 
29 Mar 1999
94 Citations
This cripples data compression schemes and reduces them to order zero models.
This method provides a unified algorithm framework for decoding hidden Markov models including the first-order hidden Markov model and any high-order hidden Markov model.
The experimental results support our hypothesis that the contextual information is relevant at least in the area of text clustering by compression.
This scheme achieves excellent compression rates in comparison with other schemes on a variety of Chinese text files.
It is shown that the Markov model is consistent with the data.
The proposed generalizations of the Markov model are likely to improve the overall accuracy of sequence analysis tools.
Proceedings ArticleDOI
M. El-Beze, A.-M. Derouault 
03 Apr 1990
21 Citations
The model shows another way to put knowledge in the pure probabilistic framework of hidden Markov models.<<ETX>>

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