Abstract: Automated analysis of text documents is used to scan text documents in order to find phrases or text fragments from other documents, or modifying the existing ones. A comparatively fast and universally applicable method finds phrases, sentences or even text fragments from other documents. The method includes: all electronic files containing model documents are converted to a given format; meaningful fragments, called “clauses”, are extracted from them; the converted files containing model documents are stored in the database; each electronic file containing a document to be analyzed is converted to the given format; clauses extracted from analyzed documents are compared with clauses extracted from model documents; fractions of clauses from an analyzed document matching clauses from each model document are calculated; fractions found are then compared with a pre-set threshold value in order to find out whether there are text fragments from a model document in the analyzed one.

Abstract: Automated analysis of text documents is used to scan text documents in order to find phrases or text fragments from other documents, or modifying the existing ones. A comparatively fast and universally applicable method finds phrases, sentences or even text fragments from other documents. The method includes: all electronic files containing model documents are converted to a given format; meaningful fragments, called “clauses”, are extracted from them; the converted files containing model documents are stored in the database; each electronic file containing a document to be analyzed is converted to the given format; clauses extracted from analyzed documents are compared with clauses extracted from model documents; fractions of clauses from an analyzed document matching clauses from each model document are calculated; fractions found are then compared with a pre-set threshold value in order to find out whether there are text fragments from a model document in the analyzed one.