Ihe ndị ahụ onyenhọrọ ahụ nwere ike - na-enweghị ike - ịchọpụta

Nlekọta nlekọta n'ozuzu ya nwere ebe a na-agaghị ahụ anya. Oge ụfọdụ ha na-ekpuchi ha. Ihu a bụ nke anyị, n'ozuzu ya, n'ihi na ozi ahụ ị na-ekwenyeghị na ya bụ ozi ị na-ekwenyeghị.

Otú engine si arụ ọrụ

Nlekọta ahụ na-aga n'ime ụzọ abụọ. Nke mbụ, n'ịgụ: anyị na-enyocha okwu 8-12 dị iche iche site n'ọdịnihu nke ngwe gị - na-achọ okwu dị iche iche, nke na-achọpụta ihe dị mma karịa ndị na-emeghe - na-achọ otu ọ bụla na webụsaịtị dị ndụ dịka okwu akọwapụtara n'ụzọ ziri ezi. Nke ahụ na-emepụta ndepụta nke ibe ndị na-achọ.

Nke abụọ, nkwenye: anyị na-ebudata ibe ọbụla nke onye na-achọ ọrụ na-ejikọta okwu ọ bụla nke ngwe gị n'ebe ọbụla nke ibe ahụ, na mpaghara. A na-ahụta okwu-n'ihe-n'ihe

N'ihu ihe ọbụla nke ahụ, ngwe gị a na-emegharị: Unicode lookalike characters (standard trick for fooling checkers) na-akpụgharị azụ n'ihe dị ka ha, yabụ na Cyrillic letters na-akpụgharịghị n'ihe dị ka ha.

Mgbe anyị ga-ahapụ mmem (n'ezighị ezi)

  • Paywalled na subscription sources: academic journals, news archives behind logins.
  • Nnọọ databases - gụnyere academic submission archives dị ka Turnitin's. Enweghị ihenhọrọ ọha nwere ike ịhụ ha; ọbụla ọbụla free checker na-egosi na ọ bụghị bụ n'ihi na ị na-emehie.
  • Ofefe isi: akwụkwọ na akwụkwọ ndị a bipụtara na-echekwa na weebụ.
  • Nhazi ọfụụ: ihuakwụkwọ e bipụtara minit mọọbụ awa gara aga nke engines ọchụchọ ahụ achọghị ịgụnye.
  • Parafraesi n'obere: ịgụgharị nke na-agbanwe okwu ndị kasị ukwuu na-abanye n'okpuru n'ụdị-n'ụdị-n'ụdị. Nchọpụta echiche (n'ebe ọbụla n'ebe ọbụla) bụ n'ebe ọbụla nke ngwe-n'ụdị n'ụdị.

Mgbe anyị ga-egosipụta ngwe na-enweghị isi (ihe na-emehie)

  • Ihenhọrọ nke a kpọrọ n'ụzọ ziri ezi - a na-atụ anya na ọ ga-ahazi isi ya. Gbanwee n'ihenhọrọ ahụ, ọ bụghị n'ihenhọrọ ahụ.
  • Nkọwa ndị a na-ejikarị eme ihe na boilerplate: ihenhọrọ ndị dị na ntanetị, usoroiheomume iwu, nkọwa usoroiheomume na-atụgharị n'ime mpaghara ebe niile.
  • Bibliography na ndepụta ndepụta, nke na-adabere n'ọrụ ha na-akọwa.
  • Nkọwa dị n'ime obere, okwu ndị dị n'ime.

Nke a bụ n'ihi na ọba akwụkwọ ahụ na-egosi ngwe isi mmalite dị n'akụkụ gị, n'okwu site n'okwu, na n'eziokwu na n'ụdị n'ụdị dị nso akọwapụtara: tùlè ahụ na-ahụ n'elu; onye ahụ na-ekpebi ihe ọ pụtara.

Ihe nlereanya ahụ pụtara

N'ihe fọrọ nke nta ka ọ bụrụ nke a na-ahazi bụ nke a na-ahazi nke okwu gị na-abanye n'akwụkwọ a na-ahazi n'ebe a na-abịa. N'ihe fọrọ nke nta ka ọ bụrụ nke a na-ahazi - 0-5% na-ahazi, 6-20% na-ahazi, 21%+ na-ahazi nke dị mkpa - bụ nkuzi nlegharị anya nke a na-ahazi maka ihe a na-ahazi, ọ bụghị n'ihe fọrọ nke nta ka ọ bụrụ nke a na-ahazi. 4% nke ozi ahụ nwere ike igosi otu paragraf nke a na-edebata nke ọma na-ekwesịghị ịrụzi; ozi 25% nke ihe a na-edebata nke ọma nwere ike ịbụ ọrụ dị mma.

We also tell you how many sources were actually examined for your check - the real number, printed on the report, because coverage claims you cannot verify are marketing, not accuracy.

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.

Ajụjụ ndị a na-ajụkarị

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.