Semantic and Similarity Measure Methods for Plagiarism Detection of Students' Assignments

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F16%3A86096395" target="_blank" >RIV/61989100:27240/16:86096395 - isvavai.cz</a>

Alternative codes found

RIV/61989100:27740/16:86096395

Result on the web

<a href="http://dx.doi.org/10.1007/978-3-319-29504-6_12" target="_blank" >http://dx.doi.org/10.1007/978-3-319-29504-6_12</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-29504-6_12" target="_blank" >10.1007/978-3-319-29504-6_12</a>

Result language

angličtina

Original language name

Semantic and Similarity Measure Methods for Plagiarism Detection of Students' Assignments

Original language description

This paper aims at detecting semantic plagiarism in Czech texts. The paper integrates a similarity measure technique previously used for text compression along with a synonyms structured thesaurus and a stemming algorithm to detect rewording and restructuring of texts in Czech language. Out of a 100GB corpus, we extracted 884 files of B.A., M.A., and Ph.D. students' assignments, semester works and theses, from Computer Science major. The total size of the extracted testing data used was 1.98GB of plain text for our initial experiment. The method is tested first on short texts. Then, the method is applied on longer texts of students' assignments. Our results on short texts showed more accurate results to detect paraphrased texts of semantic similarity, but lower accuracy was detected in case of identical texts with rearranged paragraphs. Our results experiment conducted on the long texts corpus of students' assignment and theses show a semantic plagiarism rate of 23.9%. However, after manual scanning of documents, some noise results occur as a result of using the same technical terms and scientific definitions and references in bibliography lists in different documents. These results will be fine-tuned and optimized in the future by building a file-specific stop word list, additional exact match method and removing references and other standard text templates often used in certain parts of students' assignment works and theses

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

IN - Informatics

OECD FORD branch

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Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2016

Confidentiality

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

Article name in the collection

Advances in Intelligent Systems and Computing. Volume 427

ISBN

978-3-319-29503-9

ISSN

2194-5357

e-ISSN

—

Number of pages

8

Pages from-to

117-125

Publisher name

Springer Verlag

Place of publication

London

Event location

Paříž

Event date

Sep 9, 2015

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000371912400012