The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
Detecting translations of the same text and data with common source
Open accessAbstract
Compression based similarity distances have the main drawback of needing the same coding scheme for the objects to be compared. In some situations, there exists significant similarity with no literal shared information: text translations, different coding schemes, etc. To overcome this problem, we present a similarity measure that compares the redundancy structure of the data extracted by means of a Lempel–Ziv compression scheme. Each text is represented as a graph in which vertices are text positions and edges represent shared information; with our measure, two texts are similar if they have the same referential topology when compressed. In this paper we give empirical evidence and a phenomenological explanation that this new measure is a robust indicator, detecting similarity between data coded in different languages. We also regard a textual data without any structure, but with a common source, and find that we can detect such data and distinguish this situation from the previous one.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
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?
In the citing paper
“Fingerprint [115], [116] and hash-based [117], [118] are common heuristic retrieval models”
From Understanding Plagiarism Linguistic Patterns, Textual Features, and Detection Methods (2012) · cites this paper as [115]
Citations
Cites
A universal algorithm for sequential data compression
Ziv, J., & Lempel, A. (1977) · IEEE Transactions on Information Theory · doi:10.1109/tit.1977.1055714 · Cited by 5,456
A Block-sorting Lossless Data Compression Algorithm
Burrows, M. T., & Wheeler, D. J. (1994) · Cited by 2,333
Estimation of entropy and mutual information
Paninski, L. (2003) · Neural Computation · doi:10.1162/089976603321780272 · Cited by 1,442
Data Compression Using Adaptive Coding and Partial String Matching
Cleary, J., & Witten, I. H. (1984) · IEEE Transactions on Communications · doi:10.1109/tcom.1984.1096090 · Cited by 1,254
Cilibrasi, R., & Vitanyi, P. M. B. (2005) · IEEE Transactions on Information Theory · doi:10.1109/tit.2005.844059 · Cited by 1,198
Information Theory and Coding.
Good, I. J., & Abramson, N. (1964) · Journal of the Royal Statistical Society Series A (General) · doi:10.2307/2343598 · Cited by 1,086
Li, M., Chen, D., Li, X., Ma, B., & Vitanyi, P. M. B. (2004) · IEEE Transactions on Information Theory · doi:10.1109/tit.2004.838101 · Cited by 1,069
Resnik, P., & Smith, N. A. (2003) · Computational Linguistics · doi:10.1162/089120103322711578 · Cited by 531
Gadaleta, G., Pepe, G., Candia, G. D., Quagliariello, C., Sbisà, E., & Saccone, C. (1989) · Journal of Molecular Evolution · doi:10.1007/bf02602930 · Cited by 516
The complete nucleotide sequence of the mitochondrial DNA of the fin whale,Balaenoptera physalus
Árnason, Ú., Gullberg, A., & Widegren, B. (1991) · Journal of Molecular Evolution · doi:10.1007/bf02102808 · Cited by 258
Research works printed but not linked: 12
- Cebrian M, J. Commun. Inf. Syst.
- Resnik P, 1999, Proc. 37th Annual Mtg of the ACL
- Ingle N C, The Incorporated Linguistic, 15, 98
- Chen J Nie J, 2000, Int. Conf. on Chinese Language Computing
- Ma X Liberman M, 1999, Machine Translation Summit VII
- Smith N, 2002, Proc. 2002 Conf. on Empirical Methods in Natural Language Processing
- de Cervantes M, Don Quijote
- de Cervantes M, Don Quixote
- de Cervantes M, Don Quichotte
- de Cervantes M, 1988, Don Kihot
- Arnason U, 1993, Mol. Biol. Evol., 10, 960
- Coble M D, 2004, Int. J. Legal Med.
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
An improved plagiarism detection scheme based on semantic role labeling
Osman, A. H., Salim, N. B., Binwahlan, M. S., Alteeb, R., & Abuobieda, A. (2012) · Applied Soft Computing · doi:10.1016/j.asoc.2011.12.021 · Cited by 98
Studying software evolution using artefacts’ shared information content
Arbuckle, T. (2010) · Science of Computer Programming · doi:10.1016/j.scico.2010.11.005 · Cited by 31
Uncovering highly obfuscated plagiarism cases using fuzzy semantic-based similarity model
Alzahrani, S. M., Salim, N. B., & Palade, V. (2015) · Journal of King Saud University - Computer and Information Sciences · doi:10.1016/j.jksuci.2014.12.001 · Cited by 23
Software Documents: Comparison and Measurement.
Arbuckle, T., Balaban, A., Peters, D. K., & Lawford, M. S. (2007) · Cited by 16
Metadata
- Authors
- Koroutchev, K., & Cebrián, M.
- Affiliations
- Universidad Autónoma de Madrid (ES)
- ORCID
- Cebrián, Manuel
- Venue
- Journal of Statistical Mechanics: Theory and Experiment
- Publisher
- IOP Publishing
- Published
- 2006-10-18
- Volume
- 2006
- Issue
- 10
- Pages
- P10009-P10009
- ISSN
- 1742-5468 (ISSN-L)
- OpenAlex
- W1988041031
- Cited by
- 9
- References
- 25
- Citations by year
- 2020: 1 · 2017: 1 · 2016: 1 · 2015: 1 · 2013: 1 · 2012: 1
- FWCI
- 0.38
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Statistical Mechanics Theory and Experiment (publishedVersion)
- Funders
- Science and Engineering Research Board
- Topics
- Physical Sciences › Mathematics › Theoretical Computer Science › Algorithms and Data Compression
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Fractal and DNA sequence analysis
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Computability, Logic, AI Algorithms
- Keywords
- Lempel-Ziv compression, similarity measures, shared information, multilingual text comparison
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 ›
Are you an author, or do you see a problem with this page? Request a review
