Context-Sensitive Error Correction: Using Topic Models to Improve OCR Michael L. Wick Michael G. Ross Erik G. Learned-Miller University of Massachusetts Amherst

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Date: 2008-01-02 15:36:36 Statistics Optical character recognition Latent Dirichlet allocation Topic model Language model Pachinko allocation Comparison of optical character recognition software Hidden Markov model Latent semantic analysis Statistical natural language processing Artificial intelligence Science		Context-Sensitive Error Correction: Using Topic Models to Improve OCR Michael L. Wick Michael G. Ross Erik G. Learned-Miller University of Massachusetts Amherst Add to Reading List Source URL: vis-www.cs.umass.edu Download Document from Source Website File Size: 64,55 KB Share Document on Facebook

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