Arabic Diacritization Using Bidirectional Long Short-Term Memory Neural Networks With Conditional Random Fields

Arabic Diacritization Using Bidirectional Long Short-Term Memory Neural Networks With Conditional Random Fields

Arabic diacritics play a significant role in distinguishing words with the same orthography but different meanings, pronunciations, and syntactic functions. The presence of Arabic diacritics can be useful in many natural language processing applications, such as text-to-speech tasks, machine transla...

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Bibliographic Details
Main Authors: Abdulmohsen Al-Thubaity, Atheer Alkhalifa, Abdulrahman Almuhareb, Waleed Alsanie
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Arabic diacritic restoration
bi-directional long short-term memory
computational linguistics
conditional random fields
deep learning
neural network
Online Access:https://ieeexplore.ieee.org/document/9174712/

Internet

https://ieeexplore.ieee.org/document/9174712/

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