Chii chinogona - uye chisingagone - kuwanikwa nechiongorori ichi

Mumwe neumwe muongorori wePlagiarism ane mabwe akaoma. Vazhinji vanozvipfuya. Iyi peji i yedu, mumwechete, nekuti mashoko asingagoni kubvunza ndeamashoko asingagoni kuvimba nawo.

Maitiro ekushandisa injini

Kuongorora kunoitwa muzvikamu zviviri. Pakutanga, kudzokorora: tinotora mifananidzo yezvinyorwa zviviri kana zvitatu zvemazita ezvinyorwa kubva kunzvimbo dzese dzemazita ako - tichisarudza mazwi asiri anowanzoshandiswa, ayo anodzokororwa zvakanaka kupfuura mazita anowanzoshandiswa - uye tinotsvaga ese ari maviri pawebhu sezita rakafanana. Izvi zvinopa mapeji asingazivikanwe.

Mumwe, kuvimbisa: isu tinorodha pasi chero peji remukwikwidzi uye tinoisa pamwechete chero mashoko echinyorwa chako nechinyorwa chepapeji, panzvimbo. Kusangana kwezwi nezwi kunoonekwa nekukuvara kwezwi-window kusangana; kusangana kweparaphrase nechiratidzo chekusangana uye kuchinja-kufananidza zvirambidzo. A search engine ranking a page is never treated as evidence by itself - only verified text comparison counts, and each match carries a confidence figure in the report.

Pashure pezvose izvi, mazita ako anogadziriswa: Unicode lookalike characters (yakajairika nzira yekuzvidza vaongorori) anodzokera kumazita avo ekare, saka mazita eCyrillic anochinjana haazofungire mazita anosangana.

Kana tichizokanganwa mitambo (false negatives)

  • Paywalled uye subscription zviwanikwa: akateedzana akateedzana, nhau archives pamberi logins.
  • Private databases - kusanganisira akateedzana akateedzana archives seTurnin's. Hapana chirongwa chevanhu chinogona kuona ivo; chero chero checker inoreva kuti zvakasiyana zvachose zvinokuudza.
  • Offline zviwanikwa: zvakanyorwa zvinyorwa uye zvinyorwa izvo zvakanga zvisina kuiswa pawebhu.
  • Zvinyorwa zvakachena kwazvo: peji rakaburitswa mazuva kana mazuva mashoma apfuura uye iro injini dzekutsvaga hadzisati dzaiburitsa.
  • Heavy paraphrase: rewriting kuti anochinja akawanda mazwi anosvika pasi pe nepakati- match threshold. Kuwana mazano (pasina mashoko) iri pamusoro chero text matcher.

Kana tichizobata chiratidzo chekutaura pasina mhosva (false positives)

  • Kutaura kwakarurama - kutaura kunoreva kuti kutaura kwacho kunoenderana nechikonzero chake. Cheka kutaura, kwete kutaura kwacho.
  • Common mazwi uye boilerplate: stock mashoko, zvinyorwa zvemutemo, methodological mapepa anodzokororwa pamusoro pehurongwa hwakawanda.
  • Bibliography uye reference zvinyorwa, izvo zvakajairika kusangana mabasa avo vachitaura.
  • Coincidental mutauro munguva pfupi, zvakajeka mashoko.

Izvi ndizvo zvinoita kuti ongororo ione kuti mutauro wakaenzana nechinyorwa chako, mutsara nemutsara, nemashoko akaenzana neanofananidza akanyorwa zvakasiyana: chirongwa chinowana kusangana; munhu anofunga kuti chii chinoreva.

Chii chinonzi score

The matched percentage is the share of your words that sit in sentences aligned to a retrieved source. The gauge bands - 0-5% looks original, 6-20% some matches, 21%+ significant matching - are review guidance calibrated for typical prose, not accusation thresholds. A 4% report can still contain one fully copied paragraph worth fixing; a 25% report of properly quoted material can be perfectly honest work.

Isuwo tinokuudza kuti ndezvipi zviwanikwa zvakaongororwa kuti uone kuti zvakanyatsoshanda - iyo yazvino nhamba, yakanyorwa pareport, nekuti zvinoda kutaurwa kuti haugone kuvimbisa kuti zvinoitika ndezvekutengesa, kwete zvechokwadi.

Results are indicative, not conclusive. We compare your text against publicly accessible web pages at the moment you run the check. We cannot detect matches in sources that are offline, paywalled, unindexed, or held in private databases (including academic submission archives). Common phrases, correctly quoted material, and coincidental wording can appear as matches. Use this report as a guide for review and citation - not as standalone proof that text was or was not plagiarized.

Zvimwe zvinobvunzwa zvakanyanya

Two phases. First we sample distinctive word sequences from your text and search them on the live web as exact phrases. Then we download every candidate page and align every sentence of your text against the page’s real content locally - exact matches by rolling word-window comparison, near matches by token overlap and edit similarity. Search results alone are never trusted as matches; only verified text comparison counts.

When the source is not on the public web at check time: paywalled journals, offline books, private submission archives, pages published minutes ago that search engines have not indexed, or content behind logins. Heavily paraphrased text can also fall below the near-match threshold. No web-based checker escapes these limits; we would rather tell you than let a 0% mislead you.

Correctly quoted passages, common stock phrases, technical boilerplate, legal or religious formulae, and bibliographies all legitimately match their sources. The report separates exact from near matches and shows the source text beside yours so a human can make the call - the score is an instrument reading, not a judgment.

It is the share of your words that sit in sentences we matched to a retrieved source: matched-sentence words divided by total words. The gauge bands are 0-5% "looks original", 6-20% "some matches - review citations", 21%+ "significant matching". The bands are review guidance, not accusation thresholds.

The interface runs in 100+ languages, and the engine itself is multilingual: sentence segmentation handles Latin, CJK and Arabic punctuation, and retrieval uses engines with strong non-English coverage. Match quality is best in languages with a large public web footprint; for very small languages, coverage is honestly thinner.