Carte Enhancing Computer-Aided Plagiarism Detection Maxim Mozgovoy

Enhancing Computer-Aided Plagiarism Detection

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Legare: Carte broșată
Disponibilitate: În depozitul extern
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274.23 lei
This work is dedicated to the problem of computer-§aided plagiarism detection, i.e. to the developme...

Informații despre carte

Limbă
engleză
Legare
Carte - Carte broșată
Publicat
2008
Pagini
120
EAN
9783639097245
ISBN
3639097246
Enbook ID
06818754
Greutate
172
Dimensiuni
152 x 229 x 6

Descriere completă

This work is dedicated to the problem of computer-§aided plagiarism detection, i.e. to the development §and the use of software instruments that help to reveal §plagiarism. The creation of such tools raises specific §algorithmic problems that deserve attention. The §results covered in this work, include: (a) Building the §taxonomy of existing plagiarism detection methods §according to their speed and reliability§characteristics. §(b) Studying and improving string matching algorithms §used in plagiarism detection. Introducing tokenizers §for the natural language texts, applying natural §language parsers for plagiarism detection in order to §enhance the quality of the detectors. (c) Optimizing §the speed performance of string matching based §plagiarism detection algorithms by applying a §combined fast and reliable scoring scheme. §Developing an efficient parameterized matching §procedure. (d) Developing a fast string matching based §plagiarism detection algorithm. This work is dedicated to the problem of computer-§aided plagiarism detection, i.e. to the development §and the use of software instruments that help to reveal §plagiarism. The creation of such tools raises specific §algorithmic problems that deserve attention. The §results covered in this work, include: (a) Building the §taxonomy of existing plagiarism detection methods §according to their speed and reliability§characteristics. §(b) Studying and improving string matching algorithms §used in plagiarism detection. Introducing tokenizers §for the natural language texts, applying natural §language parsers for plagiarism detection in order to §enhance the quality of the detectors. (c) Optimizing §the speed performance of string matching based §plagiarism detection algorithms by applying a §combined fast and reliable scoring scheme. §Developing an efficient parameterized matching §procedure. (d) Developing a fast string matching based §plagiarism detection algorithm.

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