Ààyè-iṣẹ́ | Plagiarism.Free

Bií a ṣe lè ló àwọn ìṣàmúlò-ètò

Àwọn ààyè-ìwé àwọn ààyè-ìwé àwọn ààyè-ìwé àwọn ààyè-ìwé àwọn ààyè-ìwé àwọn ààyè-ìwé àwọn ààyè-ìwé àwọn ààyè-ìwé àwọn ààyè-ìwé àwọn ààyè-ìwé àwọn ààyè-ìwé àwọn ààyè-ìwé àwọn ààyè-ìwé àwọn ààyè-ìwé àwọn ààyè-ìwé àwọn ààyè-ìwé àwọn ààyè-ìwé àwọn ààyè-ìwé àwọn ààyè-ìwé àwọn ààyè-ìwé àwọn ààyè-ìwé àwọn ààyè-ìwé àwọn ààyè-ìwé àwọn ààyè-ìwé àwọn ààyè-ìwé àwọn ààyè-ìwé àwọn ààyè-ìwé àwọn ààyè-ìwé àwọn ààyè-ìwé àwọn ààyè-ìwé àwọn ààyè-ìwé àwọn ààyè-ìwé àwọn ààyè-ìwé àwọn ààyè-ìwé àwọn ààyè-ìwé àwọn ààyè-ìwé àwọn ààyè-ìwé àwọn ààyè-ìwé àwọn ààyè-ìwé àwọn ààyè-ìwé àwọn ààyè-ìwé àwọn ààyè-ìwé àwọn ààyè-ìwé àwọn ààyè-ìwé àwọn ààyè-ìwé àwọn ààyè-ìwé àwọn ààye

Second, verification: we download each candidate page and align every sentence of your text against the page's actual content, locally. Word-for-word overlap is detected with rolling word-window comparison; close paraphrase with token-overlap and edit-similarity thresholds. 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.

Àwọn àwọn àmì-ìwé àwọn àmì-ìwé àwọn àmì-ìwé àwọn àmì-ìwé àwọn àmì-ìwé àwọn àmì-ìwé àwọn àmì-ìwé àwọn àmì-ìwé àwọn àmì-ìwé àwọn àmì-ìwé àwọn àmì-ìwé àwọn àmì-ìwé àwọn àmì-ìwé àwọn àmì-ìwé àwọn àmì-ìwé àwọn àmì-ìwé àwọn àmì-ìwé àwọn àmì-ìwé àwọn àmì-ìwé àwọn àmì-ìwé àwọn àmì-ìwé àwọn àmì-ìwé àwọn àmì-ìwé àwọn àmì-ìwé àwọn àmì-ìwé àwọn àmì-ìwé àwọn àmì-ìwé àwọn àmì-ìwé àwọn àmì-ìwé àwọn àmì-ìwé àwọn àmì-ìwé àwọn àmì-ìwé àwọn àmì-ìwé àwọn àmì-ìwé àwọn àmì-ìwé àwọn àmì-ìwé àwọn àmì-ìwé àwọn àmì-ìwé àwọn àmì-ìwé àwọn àmì-ìwé àwọn àmì-ìwé àwọn àmì-ìwé àwọn àmì-ìwé àwọn àmì-ìwé àwọn àmì-ìwé àwọn àmì-ìwé àwọn àmì-ìwé àwọn àmì-ìwé àwọn àmì-ìwé àwọn àmì-ìwé àwọn àmì-ìwé àwọn àmì-ìwé àwọn àmì-ìwé àwọn àmì-ìwé àwọn àmì-ìwé àwọn àmì-ìwé àwọn àmì-i

Tí a bá fi àwọn ìṣàmúlò-ètò pamọ́ (àtí àwọn àwọn ìṣàmúlò-ètò ìṣàfarawé)

Àwọn oriṣi ilé-ẹ̀yàn tí a fi owo-ìpamọ́: awọn iwe-ìwe-ìkọ́, awọn aagó iroyin nínú àwọn àgbèwọlé.
Àwọn ààtòjọ-ìdábòójútó aládàbòójútó àìdábòójútó - àti àwọn ààtòjọ-ìwé-ìwé àwọn áríǹwé bíi Turnitin. Kò si àwọn àtòjọ-ẹ̀yàn àìdábòójútó aládàbòójútó tí lè wò; àwọn ìṣàfihàn ọ̀fẹ́ fún àwọn mìíràn ní pàtó.
Awọn orisun ti ko ni asopọ: awọn iwe ti a tẹ ati awọn iwe ti ko ti fi sori ayelujara.
Àwọn ìṣàmúlò-ètò tí a tí fi pamọ́: àwọn ojú-ìwé tí a fi pamọ́ ní àwọn àkókò àwọn ààtò àwọn ààtò àwọn ààtò àwọn ààtò àwọn ààtò àwọn ààtò àwọn ààtò àwọn ààtò àwọn ààtò àwọn ààtò àwọn ààtò àwọn ààtò àwọn ààtò àwọn ààtò àwọn ààtò àwọn ààtò àwọn ààtò
Heavy paraphrase: rewriting that changes most words falls below the near-match threshold. Detecting ideas (rather than wording) is beyond any text matcher.

Tí a bá fi àkọlé àìdá (àtí àwọn ìṣàmúlò-ètò aládájú)

Àwọn àwọn ààyè-iṣẹ́ àìṣàfilọ́lẹ̀ - àìṣàfilọ́lẹ̀ náà ní àwọn ìṣàmúlò-ètò rẹ̀. Wá àwọn àìṣàfilọ́lẹ̀, kò ní àwọn àìṣàfilọ́lẹ̀.
Àwọn àkóónú àti àwọn àmì-ìwé: àwọn àkóónú, àwọn à
Bibliography ati awọn akojọ itọkasi, ti o ni ibamu pẹlu awọn iṣẹ ti wọn n ṣalaye.
Ìṣàmúlò-ètò àwọn

Ó jẹ́ idì tí àkọlé náà fi fi àkọlé orílẹ̀ẹ̀lì tí a bá ṣèdálẹ̀ pamọ́ sí ọ̀pọ̀ rẹ̀, àwọn àkọlé nípa àwọn àkọlé, àwọn àwọn àkóónú tí a bá ṣédálẹ̀ pamọ́: àtòjọ-ẹ̀yàn náà náà gbàwọ́; ẹnikẹ́ni náà náà gbàwọ́ ohun tí o tumọ̀.

Àwọn àwọn ìtumọ̀ àwọn ìtàn

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.

A tun sọ fun ọ pe awọn orisun wo ni a ti ṣe ayẹwo fun iwadi rẹ - nọmba gidi, ti a tẹjade lori iroyin, nitori awọn ifihan agbara ti o ko le rii daju ni awọn ọja, kii ṣe awọn aṣiṣe.

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.

Àwọn Àtòjọ-ẹ̀yàn

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.

Àwọn tí a lè - àti àtí kò lè - ṣàfihàn nínú ìṣàmúlò-ètò yìí

Bií a ṣe lè ló àwọn ìṣàmúlò-ètò

Tí a bá fi àwọn ìṣàmúlò-ètò pamọ́ (àtí àwọn àwọn ìṣàmúlò-ètò ìṣàfarawé)

Tí a bá fi àkọlé àìdá (àtí àwọn ìṣàmúlò-ètò aládájú)

Àwọn àwọn ìtumọ̀ àwọn ìtàn

Àwọn Àtòjọ-ẹ̀yàn

How does the checking engine actually work?

When will this checker miss plagiarism (false negatives)?

When will it flag text that is not plagiarism (false positives)?

What does the matched percentage mean, precisely?

Which languages does the checker support?