ARABIC SOFT SPELLING CORRECTION WITH T5
Spelling correction is considered a challenging task for resource-scarce languages. The Arabic language is one of these resource-scarce languages, which suffers from the absence of a large spelling correction dataset, thus datasets injected with artificial errors are used to overcome this problem. I...
Main Authors: | Ola Arif Jaafar, Mohammed Al-Qaraghuli |
---|---|
Format: | Article |
Jezik: | English |
Izdano: |
Scientific Research Support Fund of Jordan (SRSF) and Princess Sumaya University for Technology (PSUT)
2024-03-01
|
Serija: | Jordanian Journal of Computers and Information Technology |
Teme: | |
Online dostop: | https://www.jjcit.org/?mno=177176 |
Podobne knjige/članki
-
TurkishLex:Development of a Context-Aware Spell Checker for Detecting and Correcting Spelling Errors in Turkish Texts
od: Pinar Savci, et al.
Izdano: (2024-12-01) -
How to Progressively Build Thai Spelling Correction Systems?
od: Anuruth Lertpiya, et al.
Izdano: (2023-01-01) -
Towards the Natural Language Processing as Spelling Correction for Offline Handwritten Text Recognition Systems
od: Arthur Flor de Sousa Neto, et al.
Izdano: (2020-10-01) -
Developing an AI-based spelling system for kids
od: Basma ALHARBI, et al.
Izdano: (2021-06-01) -
Unsupervised Spelling Correction for Slovak
od: Daniel Hladek, et al.
Izdano: (2013-01-01)