A Multitask-Based Neural Machine Translation Model with Part-of-Speech Tags Integration for Arabic Dialects

A Multitask-Based Neural Machine Translation Model with Part-of-Speech Tags Integration for Arabic Dialects

The statistical machine translation for the Arabic language integrates external linguistic resources such as part-of-speech tags. The current research presents a Bidirectional Long Short-Term Memory (Bi-LSTM)—Conditional Random Fields (CRF) segment-level Arabic Dialect POS tagger model, wh...

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Bibliographic Details
Main Authors: Laith H. Baniata, Seyoung Park, Seong-Bae Park
Format: Article
Language:English
Published: MDPI AG 2018-12-01
Series:Applied Sciences
Subjects:
NMT
MTL
POS tagging
CRF
Bi-LSTM
Arabic dialects
encoder
decoder
MSA
Online Access:https://www.mdpi.com/2076-3417/8/12/2502

Internet

https://www.mdpi.com/2076-3417/8/12/2502

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