The computing device applies the parsed document and at least one likelihood vector to a Bayesian network.

The system creates the index for the document by transforming the parsed document in a manner that is specified by the instructions retrieved from the index stylesheet.

The method further comprises parsing the uploaded document, saving the parsed document and viewing the saved document in an online mode over document viewer web application.

Source - documents, which have been identified as matching with the analyzed document

Fully red passages: These are 1:1 matches between a source and the analyzed document.

The first thing you will want to know is the percentage of similarity between the document analyzed and the sources found.

The first phase of searching for sources consists of reading the document and searching our databases and on the Internet for documents that have similarities with the analysed document.

For each source, a specific percentage is given, which means that the document analyzed contains X% of text similar to that source.

On the other hand, the document analyzed has become oddly important nowadays, because Leftists use it to justify the "Protestantization" of the Catholic Church.

Copycats: Others have actually plagiarized the analyzed document, particularly likely if the source has a later publishing date.

The document (20) is parsed, prior to rendering the document, for any contact data (92A).

The system operates by receiving a document to be indexed and then parses the document to produce a parsed document.

A document is parsed to identify fact items in the content of the document.

A document is parsed to identify fact items in the content of the document.

The document is parsed into tokens to form a token stream corresponding to the document.