Method and apparatus for statistical text filtering

Image analysis – Pattern recognition – Context analysis or word recognition

Reexamination Certificate

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C382S176000

Reexamination Certificate

active

06879722

ABSTRACT:
Disclosed herein is a method for automatically filtering a corpus of documents containing textual and non-textual information of a natural language. According to the method, through a first dividing step (101), the document corpus is divided into appropriate portions. At a following determining step (105), for each portion of the document corpus, there is determined a regularity value (VR) measuring the conformity of the portion with respect to character sequences probabilities predetermined for the language considered. At a comparing step (107), each regularity value (VR) is then compared with a threshold value (VT) to decide whether the conformity is sufficient. Finally, at a rejecting step (111), any portion of the document corpus whose conformity is not sufficient is rejected and removed from the corpus. An apparatus for carrying out such a method is also disclosed.

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patent: 1 229 454 (2002-08-01), None
Basili et al., A robust model for intelligent text classification, University of Rome Tor Vergata, Dept. of computer science.*
Hu et al., A human simulating mechanism for chinese information filtering, IEEE 0-7803-7268-9/01, 1582-1585.*
F Jelinek, R. Mercer: “Interpolated Estimation of Markov Source Parameters from Sparse Data”, In Proceedings of the workshop onPattern Recognition in Practice, North Holland Publishing Company, 1980.

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