Understanding Plagiarism Linguistic Patterns

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F12%3A86084521" target="_blank" >RIV/61989100:27240/12:86084521 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/TSMCC.2011.2134847" target="_blank" >http://dx.doi.org/10.1109/TSMCC.2011.2134847</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/TSMCC.2011.2134847" target="_blank" >10.1109/TSMCC.2011.2134847</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Understanding Plagiarism Linguistic Patterns

Popis výsledku v původním jazyce

Plagiarism can be of many different natures, ranging from copying texts to adopting ideas, without giving credit to its originator. This paper presents a new taxonomy of plagiarism that highlights differences between literal plagiarism and intelligent plagiarism, from the plagiarist's behavioral point of view. The taxonomy supports deep understanding of different linguistic patterns in committing plagiarism, for example, changing texts into semantically equivalent but with different words and organization, shortening texts with concept generalization and specification, and adopting ideas and important contributions of others. Different textual features that characterize different plagiarism types are discussed. Systematic frameworks and methods of monolingual, extrinsic, intrinsic, and cross-lingual plagiarism detection are surveyed and correlated with plagiarism types, which are listed in the taxonomy. We conduct extensive study of state-of-the-art techniques for plagiarism detection,

Název v anglickém jazyce

Understanding Plagiarism Linguistic Patterns

Popis výsledku anglicky

Plagiarism can be of many different natures, ranging from copying texts to adopting ideas, without giving credit to its originator. This paper presents a new taxonomy of plagiarism that highlights differences between literal plagiarism and intelligent plagiarism, from the plagiarist's behavioral point of view. The taxonomy supports deep understanding of different linguistic patterns in committing plagiarism, for example, changing texts into semantically equivalent but with different words and organization, shortening texts with concept generalization and specification, and adopting ideas and important contributions of others. Different textual features that characterize different plagiarism types are discussed. Systematic frameworks and methods of monolingual, extrinsic, intrinsic, and cross-lingual plagiarism detection are surveyed and correlated with plagiarism types, which are listed in the taxonomy. We conduct extensive study of state-of-the-art techniques for plagiarism detection,

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2012

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

IEEE Transactions on Systems, Man, and Cybernetics. Part C: Applications and Reviews

ISSN

1094-6977

e-ISSN

—

Svazek periodika

42

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

17

Strana od-do

133-149

Kód UT WoS článku

000300511400001

EID výsledku v databázi Scopus

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