Zomwe chida ichi chimatha - ndi zomwe sichingathe - kuzindikira

Palibe amene anganene kuti pali mfundo zosatheka kumvetsa. Palibe amene anganene kuti pali mfundo zosatheka kumvetsa. Palibe amene anganene kuti pali mfundo zosatheka kumvetsa.

Momwe injini imagwira ntchito

Kuyesa kumachitika m'madera awiri. Kuyamba, kubwezeretsa: timatha kujambula mawu osiyana 8-12 kuchokera kudziko lililonse la mawu anu - timakonda mawu ovuta, omwe amapeza bwino kuposa otsegulira otchuka - ndipo tifufuza aliyense pa webusaiti yogwira ntchito ngati mawu oyenera omwe amapezeka.

Kuyambira patsamba lachiwiri, tikutsimikizira: tikutsitsa tsamba lililonse la wosankhidwayo ndikusintha mawu onse a mawu anu kudzera pazomwe zili patsambali, pamalo. Kuphatikiza kwa mawu ndi mawu kumapezeka ndi kuyerekezera kwazenera la mawu; kulumikizana ndi paraphrase ndi token-overlap ndi kusintha-kufanana. Kusaka injini yosaka tsamba siliyenera kuchitidwa ngati umboni wapadera - kuyerekezera mawu otsimikizika okha ndi omwe amawerengedwa, ndipo aliyense wogwirizana amabweretsa chiwonetsero chakutsimikiza mu lipoti.

Pambuyo pa chilichonse, malemba anu amasinthidwa: Unicode lookalike characters (kapena standard trick for fooling checkers) amasinthidwanso kuti azigwirizana ndi malemba ena, kotero malemba a Cyrillic omwe asinthana sadzachotsana.

Pamene tidzaiwala masewera (opanda pake)

  • Paywalled ndi zolemba zolembetsa: mabuku ophunzira, mabuku a nkhani m'mbuyo mwa logins.
  • Ma database apadera - kuphatikizapo ma archives olembetsakademiki monga Turnitin. Palibe chida cha anthu chomwe chimatha kuwawona; aliyense wovomerezeka wovomerezeka yemwe amatanthauza kuti sichoncho akukutsutsani.
  • Offline zipangizo: zosindikizidwa mabuku ndi zigawo zimene zinalibe nthawi iliyonse kuika pa webusaitiyi.
  • Masamba oyamba kwambiri: masamba omwe adatulutsidwa mphindi kapena maola angapo apitawa omwe injini zosakira sizikupezekabe.
  • Paraphrase yovuta: kulembanso komwe kumasintha mawu ambiri kumagwa pansi pa mlingo wofanana. Kuzindikira maganizo (kupatula mawu) ndi mbali iliyonse ya malemba ogwirizana.

Pamene tidza flag wosakhulupirira malemba (false positives)

  • Mafuta oyenera ochokera - chidziwitso chiyenera kugwirizana ndi chiyambi chake. Chezani chidziwitso, osati kuwala.
  • Mafunso a Common ndi boilerplate: stock mawu, malamulo formulae, methodological zolemba anabwereza m'malo onse.
  • Bibliography ndi reference masamba, amene mwachilengedwe amagwirizana ntchito iwo cited.
  • Chochitika mawu m'mafupi, mawu oyenera.

Izi ndi chifukwa chake ripotiyo ikuwonetsa malemba ochokera kudzera pazolemba zanu, mawu ndi mawu, ndi malingana ndi ofanana ndi ogwirizana ndi osiyana: chida chimapeza kuphatikizika; munthu amaona zomwe zikutanthauza.

Kodi zotsatirazi zikutanthauza chiyani

Mtengo wa 25% wa zinthu zogwirizana ndi gawo la mawu anu omwe ali m'mawu omwe ali ndi chiyambi chogwirizana ndi chiyambi chochokera. Ma bands a gauge - 0-5% amawoneka oyamba, 6-20% ena amagwirizana, 21% + kugwirizana kwakukulu - ndi chiwongolero chofufuza chosinthidwa kwa maprose odziwika, osati ma malire otsutsa. 4% ya lipoti ikhoza kukhala ndi gawo limodzi lofalitsidwa mokwanira lomwe liyenera kusinthidwa; 25% ya lipoti la zinthu zoyenera kufotokoza zinthu zingathe kukhala ntchito yokhulupirika.

Tikutero tikukuwuzani kuti pali zidziwitso zingati zomwe zayesedwa kuti mudziwe - ziwerengero zachidziwitso, zomwe zimasindikizidwa pa lipoti, chifukwa zotsutsana ndi zolemba zomwe simungathe kutsimikizira ndizotsatsa, sizoyenera.

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.

Mafunso ofunsidwa nthawi zambiri

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.