Arabic Word Segmentation With Long Short-Term Memory Neural Networks and Word Embedding

Arabic Word Segmentation With Long Short-Term Memory Neural Networks and Word Embedding

In this paper, we propose an Arabic word segmentation technique based on a bi-directional long short-term memory deep neural network. This paper addresses the two tasks of word segmentation only and word segmentation for nine cases of the rewrite. Word segmentation with a rewrite concerns inferring...

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Bibliographic Details
Main Authors: Abdulrahman Almuhareb, Waleed Alsanie, Abdulmohsen Al-Thubaity
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Arabic word segmentation
bi-directional long short-term memory
deep learning
neural network
word embedding
Online Access:https://ieeexplore.ieee.org/document/8620203/

Internet

https://ieeexplore.ieee.org/document/8620203/

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