ARABIC SOFT SPELLING CORRECTION WITH T5

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...

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מידע ביבליוגרפי
Main Authors: Ola Arif Jaafar, Mohammed Al-Qaraghuli
פורמט: Article
שפה:English
יצא לאור: Scientific Research Support Fund of Jordan (SRSF) and Princess Sumaya University for Technology (PSUT) 2024-03-01
סדרה:Jordanian Journal of Computers and Information Technology
נושאים:
arabic spelling correction
transformers
text-to-text transfer transformer
t5
natural language processing
גישה מקוונת:https://www.jjcit.org/?mno=177176

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