Stochastic Error-Correcting Parsing for OCR Post-Processing

@inproceedings{PrezCortes2000StochasticEP,
  title={Stochastic Error-Correcting Parsing for OCR Post-Processing},
  author={Juan Carlos P{\'e}rez-Cortes and Juan-Carlos Amengual and Joaquim Arlandis and Rafael Llobet},
  booktitle={ICPR},
  year={2000}
}
In this paper, stochastic error-correcting parsing is proposed as a powerful and flexible method to post-process the results of an optical character recognizer (OCR). Deterministic and non-deterministic approaches are possible under the proposed setting. The basic units of the model can be words or complete sentences, and the lexicons or the language databases can be simple enumerations or may convey probabilistic information from the application domain. 
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