Fast Plagiarism Detection System
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
A recent study [21] encoded documents features in a hierarchical multilevel representation document-paragraph-sentence.
“a recent study [21] encoded documents features in a hierarchical multilevel representation document-paragraph-sentence .”
From Understanding Plagiarism Linguistic Patterns, Textual Features, and Detection Methods (2012) · cites this paper as [21]
A recent book provides an extensive linguistic analysis of plagiarism in academic writing.
“For example, a recent book [21], [63] provides an extensive linguistic analysis of plagiarism in academic writing.”
From Understanding Plagiarism Linguistic Patterns, Textual Features, and Detection Methods (2012) · cites this paper as [21]
STRUC integrated with VEC methods have been used to detect copy-and-paste plagiarism.
“STRCU integrated with VEC methods have been used to detect copy-and-paste plagiarism [21], [29], but further research should be carried out to investigate the advantages of relating STRUC with SEM and FUZZY methods for idea plagiarism detection.”
From Understanding Plagiarism Linguistic Patterns, Textual Features, and Detection Methods (2012) · cites this paper as [21]
Unlike earlier methods, STRUC methods use contextual information (i.e., topical blocks, sections, and paragraphs), which carries different importance of text, and characterizes different ideas distributed throughout the document.
“Unlike earlier methods, STRUC methods [21], [29] use contextual information (i.e., topical blocks, sections, and paragraphs), which carries different importance of text, and characterizes different ideas distributed throughout the document.”
From Understanding Plagiarism Linguistic Patterns, Textual Features, and Detection Methods (2012) · cites this paper as [21]
Cites
Schleimer, S., S, W. D., & Aiken, A. (2003) · Proceedings of the 2003 ACM SIGMOD International Conference on Management of Data · doi:10.1145/872757.872770 · Cited by 1,099 · cited 3× · see citing works
“Modern plagiarism detectors, such as Sherlock [3], JPlag [5] and MOSS [6] use a tokenization technique to improve detection.”
Method
Flagged first, then by citations
Cited by
Sorted by citations
Understanding Plagiarism Linguistic Patterns, Textual Features, and Detection Methods
Alzahrani, S. M., Salim, N., & Abraham, A. (2012) · IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews) · doi:10.1109/tsmcc.2011.2134847 · Cited by 299 · see citing works
Source-code Similarity Detection and Detection Tools Used in Academia: A Systematic Review
Novak, M., Joy, M., & Kermek, D. (2019) · ACM Transactions on Computing Education · doi:10.1145/3313290 · Cited by 117 · see citing works
Self-citationDesktop Tools for Offline Plagiarism Detection in Computer Programs
MOZGOVOY, M. (2006) · Informatics in Education · doi:10.15388/infedu.2006.08 · Cited by 46 · see citing works
Self-citation
- Authors
- Mozgovoy, M., Fredriksson, K., White, D., Joy, M., & Sutinen, E.
- Affiliations
- University of Eastern Finland (FI)
- University of Warwick (GB)
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2005
- Pages
- 267-270
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W1797297385
- Cited by
- 49
- References
- 1
- Citations by year
- 2025: 1 · 2023: 2 · 2021: 2 · 2020: 1 · 2019: 5 · 2018: 3 · 2017: 5 · 2016: 2 · 2015: 4 · 2014: 4 · 2013: 2 · 2012: 6
- FWCI
- 21.41
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Lecture notes in computer science (publishedVersion)
- Warwick Research Archive Portal (University of Warwick) (acceptedVersion)
- Topics
- Social Sciences › Safety Research › Academic integrity and plagiarism
- Physical Sciences › Computer Science › Information Systems › Software Engineering Research
- Physical Sciences › Computer Science › Computer Science Applications › Teaching and Learning Programming
- Keywords
- plagiarism detection, source code plagiarism, student programming assignments, program transformation, automated assessment, undergraduate programming courses, academic integrity
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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