Methods for identifying versioned and plagiarized documents
Journal of the American Society for Information Science and Technology
On the Resemblance and Containment of Documents
SEQUENCES '97 Proceedings of the Compression and Complexity of Sequences 1997
Syntactic Query Models for Restatement Retrieval
SPIRE '09 Proceedings of the 16th International Symposium on String Processing and Information Retrieval
Exploiting Sentence-Level Features for Near-Duplicate Document Detection
AIRS '09 Proceedings of the 5th Asia Information Retrieval Symposium on Information Retrieval Technology
Understanding Plagiarism Linguistic Patterns, Textual Features, and Detection Methods
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
| Hi-index | 0.00 |
High precision text re-use detection allows humanists to discover where and how particular authors are quoted (e.g., the different sections of Plato's work that come in and out of vogue). This paper reports on on-going work to provide the high recall text re-use detection that humanists often demand. Using an edition of one Greek work that marked quotations and paraphrases from the Homeric epics as our testbed, we were able to achieve a recall of at least 94% while maintaining a precision of 73%. This particular study is part of a larger effort to detect text re-use across 15 million words of Greek and 10 million words of Latin available or under development as openly licensed TEI XML.