ScholarGate
Msaidizi
Process / pipeline

Uwekaji Kawaida wa Teksiti — Usawazishaji wa Teksiti yenye Kelele

Uwekaji kawaida wa teksiti ni mfuatano wa usindikaji awali wa Lugha Asilia (NLP) unaobadilisha teksiti yenye kelele, iliyofupishwa, au yenye makosa ya tahajia — kama vile jumbe za SMS, machapisho ya mitandao ya kijamii, na matokeo ya OCR — kuwa umbizo safi, lililowekwa kawaida. Ni hatua ya lazima kwa karibu kila kazi ya NLP inayofuata, ikihakikisha kuwa maumbo ya nje yasiyo thabiti hayadhoofishi utoaji wa tokeni, upambanuzi, au uainishaji. Njia hii ilipata matibabu ya kitaaluma ya kimfumo kupitia kwa Baldwin na Li (2015) na Sproat na Jaitly (2017).

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Kwa wanachama pekee

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Method map

The neighbourhood of related methods — select a node to explore.

Vyanzo

  1. Baldwin, T. & Li, Y. (2015). An In-depth Analysis of the Effect of Text Normalization in Twitter. NAACL-HLT 2015. link
  2. Sproat, R. & Jaitly, N. (2017). RNN Approaches to Text Normalization: A Challenge. arXiv:1611.00068. link

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 1). Text Normalization (Noisy-Text Standardisation). ScholarGate. https://scholargate.app/sw/text-mining/text-normalization

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

Compare side by side

Imerejelewa na

ScholarGateText Normalization (Text Normalization (Noisy-Text Standardisation)). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/text-mining/text-normalization · Seti ya data: https://doi.org/10.5281/zenodo.20539026