Neural Machine Translation for Arabic Language
Translating the Arabic Language into other languages engenders multiple linguistic problems, as no two languages can match, either in the meaning given to the conforming symbols or in the ways in which such symbols are arranged in phrases and sentences. Lexical, syntactic and semantic problems arise...
Saved in:
| Main Author: | Alkhatib, Manar (author) |
|---|---|
| Published: |
2019
|
| Subjects: | |
| Online Access: | https://bspace.buid.ac.ae/handle/1234/1674 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Paraphrasing Arabiuc Metaphor with Neural Machine Translation
by: Alkhatib, Manar
Published: (2018) -
Development of Machine Translation Models: A Systematic Review
by: Almansoori, Afrah
Published: (2020) -
A Deep Neural Network Chatbot for the Gulf Arabic Dialect: A Hybrid BiLSTM-Transformer Approach
by: ALAZZAM, BAYAN AHMAD
Published: (2023) -
Cyberbullying Detection Model for Arabic Text Using Deep Learning
by: Albayari, Reem
Published: (2023) -
Ensemble Stacking Model for Sentiment Analysis of Emirati and Arabic Dialects
by: A. Al Shamsi, Arwa
Published: (2023)