Hi Luca, how about quoting another researcher's work? Are you also interested in the amount of quotes in respect to the whole document? I think it is not impossible to let an algorithm find out whether some subsequences in both documents are correctly marked, but it might be hard. Depending on your business-case you might find out that there will be a lot of false-positives when judging someone's work as plagiarism.
Another idea to find out similarity between the content of two documents is implemented in Nutch. Fortunately I found a piece of documentation in the solr-api-docs where you can read about it: http://lucene.apache.org/solr/api/org/apache/solr/update/processor/TextProfileSignature.html You could do something like that for content-blocks of a document (several sentences or a fixed window of words). This way you are able to find out similarities between documents where the author has rewritten a part of another researcher's work. This way you are able to find out phrases where the longest-common-subsequence is small but a human would see the similarities between both documents and the possiblity of a plagiarism. Regards, Em Am 11.07.2011 09:15, schrieb Luca Natti: > yes, i'm interested in plagiarism applied to research papers, university > notes, thesis. > Any theory and *best* snippets of code/examples is very appreciated! > thanks in advance for your help, > > > On Sat, Jul 9, 2011 at 5:14 PM, Andrew Clegg <[email protected]> wrote: > >> If 'puzzling' means direct plagiarism, then some sort of >> longest-common-subsequence might be a better metric. >> >> If this isn't what the OP meant, then sorry! 'Puzzling' is a new term for >> me. >> >> On Friday, 8 July 2011, Sergey Bartunov <[email protected]> wrote: >>> You may start from http://en.wikipedia.org/wiki/Latent_semantic_analysis >>> >>> On 8 July 2011 12:47, Luca Natti <[email protected]> wrote: >>>> Is there a way to compute similarity between docs? >>>> And similarity by paragraphs? >>>> >>>> What We want to tell is if a research paper is original or made by >>>> "puzzling" other works. >>>> >>>> thanks! >>>> >>> >> >> -- >> >> http://tinyurl.com/andrew-clegg-linkedin | http://twitter.com/andrew_clegg >> >
