Deep Learning for Arabic Error Detection and Correction

Deep Learning for Arabic Error Detection and Correction

Research on tools for automating the proofreading of Arabic text has received much attention in recent years. There is an increasing demand for applications that can detect and correct Arabic spelling and grammatical errors to improve the quality of Arabic text content and application input. Our rev...

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Bibliographic Details
Main Author: ALKHATIB, MANAR (author)
Other Authors: ABDEL MONEM, AZZA (author), SHAALAN, KHALED (author)
Published: 2020
Subjects:
CCS Concepts: • Computing methodologies → Machine learning; Machine learning approaches; Neural networks; Additional Key Words and Phrases: Error detection, error correction, bidirectional long short-term memory, word embedding, polynomial network classifier
Online Access:https://bspace.buid.ac.ae/handle/1234/2793
https://doi.org/10.1145/3373266.
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https://bspace.buid.ac.ae/handle/1234/2793
https://doi.org/10.1145/3373266.

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