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Desktop Plagiarism Checker 1.11 Free plagiarism detector. Plagerism scan in articles, books, essays, term papers. Turnitin free alternative. Matching content check in txt,html,rtf,doc,odt,docx,pdf files. Last update 19 Jun. 2012 Licence Free OS Support Windows XP, Windows Vista, Windows 7, Windows 7 x64, Windows Vista x64, Windows XP x64 Downloads Total: 11,393 | Last week: 0 Ranking #591 in Word Processing Software Publisher Plagiarisma.net Users rating: (9 ratings) Screenshots of Desktop Plagiarism Checker Desktop Plagiarism Checker Publisher's Description Avoid getting confined by the search engines. Avoid getting blamed by your university. Read, understand and synthesize your source data. Use the anti-plagiat software called Desktop Plagiarism Checker to check the singularity of your text. No need to carry on because Desktop Plagiarism Checker is a plagarism detector that will help you desist the error of submitting plagiarized content. Use this software to detect plagarism in your term papers. Look for Similar Items by Category Feedback If you need help or have a question, contact us Would you like to update this product info? Is there any feedback you would like to provide? Click here Plagiarism CheckerX download; 下载 Plagiarism CheckerX; Pobierz Plagiarism CheckerX; T l charger Plagiarism CheckerX; Plagiarism CheckerX para Windows . Por The results should be printed to a HTML file -V, --version Prints version informationOPTIONS: -i, --ignore Sets the directory containing text files with content to be ignored from plagiarism checks. -m, --metric Sets the metric (function) used for similarity testing. Equal checks that both strings are equal, and lev uses the Levenshtein distance [possible values: equal, lev] -n, --sensitivity Sets the number of words required to form a unit of plagiarism checking -s, --similarity Sets the threshold value for plagiarism to be detected by a chosen metric -t, --trusted Sets the directory containing trusted text files. Each file will be treated as a separate possible plagiarism source text. -u, --untrusted Sets the directory containing untrusted text files. Each file will be treated as a separate submission by a separate person.9. ExamplesExact string matching:./plagiarism-basic -t testfiles/cs-corpus/t/ -u ./testfiles/cs-corpus/ut/ -m equal -n 10 -s 0 --openhtml --cli --htmlLevenshtein distance matching:./plagiarism-basic -t testfiles/cs-corpus/t/ -u ./testfiles/cs-corpus/ut/ -m lev -n 5 -s 1 --openhtml --cli --htmlWith Cargo from this folder:cargo run --release -- -t plagiarismbasic_lib/testfiles/cs-corpus/t/ -u plagiarismbasic_lib/testfiles/cs-corpus/ut/ -m equal -n 10 -s 0 --openhtml --cli --htmlOutput (Basic HTML)10. Technical Details10.1. Defining PlagiarismInformally, two strings that are long enough and with the same number of words that are "similar enough" by a chosen metric are considered to be plagiarised.Formally:Two separate strings (s1 and s2) consisting of words (a sequence of characters without a space) are considered plagiarised if:Both have l wordsWhere l sensitivity value nWhere a metric M and similarity value s produces M(s1, s2) SubjectComments
Desktop Plagiarism Checker 1.11 Free plagiarism detector. Plagerism scan in articles, books, essays, term papers. Turnitin free alternative. Matching content check in txt,html,rtf,doc,odt,docx,pdf files. Last update 19 Jun. 2012 Licence Free OS Support Windows XP, Windows Vista, Windows 7, Windows 7 x64, Windows Vista x64, Windows XP x64 Downloads Total: 11,393 | Last week: 0 Ranking #591 in Word Processing Software Publisher Plagiarisma.net Users rating: (9 ratings) Screenshots of Desktop Plagiarism Checker Desktop Plagiarism Checker Publisher's Description Avoid getting confined by the search engines. Avoid getting blamed by your university. Read, understand and synthesize your source data. Use the anti-plagiat software called Desktop Plagiarism Checker to check the singularity of your text. No need to carry on because Desktop Plagiarism Checker is a plagarism detector that will help you desist the error of submitting plagiarized content. Use this software to detect plagarism in your term papers. Look for Similar Items by Category Feedback If you need help or have a question, contact us Would you like to update this product info? Is there any feedback you would like to provide? Click here
2025-04-20The results should be printed to a HTML file -V, --version Prints version informationOPTIONS: -i, --ignore Sets the directory containing text files with content to be ignored from plagiarism checks. -m, --metric Sets the metric (function) used for similarity testing. Equal checks that both strings are equal, and lev uses the Levenshtein distance [possible values: equal, lev] -n, --sensitivity Sets the number of words required to form a unit of plagiarism checking -s, --similarity Sets the threshold value for plagiarism to be detected by a chosen metric -t, --trusted Sets the directory containing trusted text files. Each file will be treated as a separate possible plagiarism source text. -u, --untrusted Sets the directory containing untrusted text files. Each file will be treated as a separate submission by a separate person.9. ExamplesExact string matching:./plagiarism-basic -t testfiles/cs-corpus/t/ -u ./testfiles/cs-corpus/ut/ -m equal -n 10 -s 0 --openhtml --cli --htmlLevenshtein distance matching:./plagiarism-basic -t testfiles/cs-corpus/t/ -u ./testfiles/cs-corpus/ut/ -m lev -n 5 -s 1 --openhtml --cli --htmlWith Cargo from this folder:cargo run --release -- -t plagiarismbasic_lib/testfiles/cs-corpus/t/ -u plagiarismbasic_lib/testfiles/cs-corpus/ut/ -m equal -n 10 -s 0 --openhtml --cli --htmlOutput (Basic HTML)10. Technical Details10.1. Defining PlagiarismInformally, two strings that are long enough and with the same number of words that are "similar enough" by a chosen metric are considered to be plagiarised.Formally:Two separate strings (s1 and s2) consisting of words (a sequence of characters without a space) are considered plagiarised if:Both have l wordsWhere l sensitivity value nWhere a metric M and similarity value s produces M(s1, s2) Subject
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