Apa sing bisa - lan ora bisa - dideteksi dening penguji iki

Satiap panyaring plagiarisme mibanda titik buta. Kabéhna ngakuburkeunana. Halaman ieu milik urang, sakumna, sabab laporan anu teu tiasa diinterogasi nyaéta laporan anu teu tiasa dipercaya.

Cara mesin kerja

Pangériksaan dilaksanakeun dina dua tahapan. Anu kahiji, pangropéa: urang ngabédakeun 8-12 urut kecap ti unggal wewengkon teks anjeun - milih kecap langka, anu ngabédakeun langkung saé tibatan anu biasa dibuka - sareng milarian unggal-unggal dina web live salaku frasa anu dikutip. Anu ngahasilkeun hiji set halaman calon.

Dua, verifikasi: urang ngundeur unggal halaman calon sarta ngahijikeun unggal kalimat tina teks anjeun ka isi halaman anu saleresna, sacara lokal. Tumpang tindih kecap-demi-kata ditéwak ku perbandingan jendela kecap-rolling; parafrasa ditutup ku token-tumpang tindih sarta ambang-kesamaan-édit. Rangking mesin pencari halaman henteu pernah diolah salaku bukti ku sorangan - ngan perbandingan teks anu diverifikasi diitung, sarta unggal pasualan ngandung angka kapastian dina laporan.

Sanggeus éta, teks anjeun dinormalisasi: aksara Unicode anu mirip (salah sahiji cara standar pikeun ngabéjaan pamariksa) dicokot deui kana nilaina anu biasa, janten aksara Cyrillic anu ditukar henteu ngasegel paripolah.

Nalika kita bakal kelangan match (negatif palsu)

  • Diantara sumber-sumber anu dipikawanoh nyaéta: jurnal akademik, archives berita, sarta logs.
  • Pangkalan data pribadi - kalebet arsip pangiriman akademik sapertos Turnitin. Teu aya alat umum anu tiasa ningaliana; panyetel bébas anu ngandung harti sanésna bakal ngabohong ka anjeun.
  • Buku-buku anu diterbitkeun dina basa Inggris, diterbitkeun dina basa Inggris, tapi henteu diterbitkeun dina basa Inggris.
  • Kandungan anu anyar pisan: halaman anu diterbitkeun menit atanapi jam ka pengker anu mesin pencari henteu diindeks.
  • Parafrasa berat: nulis deui anu ngarobah kabéh kecap turun ka handapeun ambang kacocokan. Ngadeteksi ide (sapertina kecap) ngaleuwihan sagala patandingan teks.

Nalika kita bakal nyebatake teks sing ora ana guna (positif palsu)

  • Bahan anu dikutip leres - hiji kutipan kudu cocog sareng sumberna. Pariksa citra, henteuna sorotan.
  • Frasa umum jeung boilerplate: ekspresi stock, formulasi hukum, deskripsi metodologis anu diulang-ulang di sakuliah widang.
  • Bibliografi, daptar referensi, anu sacara alami cocog sareng karya anu dikutip.
  • Basa Jawa, basa resmi, basa resmi.

Dina basa Inggris, istilah ieu dipaké pikeun ngarujuk kana: Kanyataan anu dipikawanoh ku masarakat umum, anu dipikawanoh ku masarakat umum, atanapi anu dipikawanoh ku masarakat umum.

Apa tegese skor

Persén anu cocog nyaéta bagian tina kecap- kecap anjeun anu aya dina kalimat anu ditangtukeun kana sumber anu ditarik. Band- band gauge - 0- 5% katingalina asli, 6- 20% aya anu cocog, 21% + cocog anu signifikan - nyaéta pituduh review anu dikalirna pikeun prosa tipikal, henteu ambang pangakuan. Laporan 4% masih tiasa ngandung hiji paragraf anu disalinkeun sacara lengkep anu patut diperbaiki; laporan 25% bahan anu dikutip sacara leres tiasa janten karya anu jujur.

Kami ogé nyarioskeun ka anjeun sabaraha sumber anu leres-leres diuji pikeun cek anjeun - angka anu leres, dicetak dina laporan, sabab klaim panyalindungan anu anjeun henteu tiasa verifikasi nyaéta pemasaran, henteu akurat.

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.

Takon-takon kang kerep diajukake

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.