Overview of deep learning and large language models in machine translation: a special perspective on the Arabic language
Abstract This work aims to present an overview of using some artificial intelligence (AI) models in machine translation (MT). This work aims to integrate machine learning (ML), deep learning (DL), large language models (LLMs) to enhance machine translation between natural languages. The focus is dir...
Saved in:
| Main Authors: | Sanaa Abou Elhamayed, Mohamed Nour |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-06-01
|
| Series: | Journal of Electrical Systems and Information Technology |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s43067-025-00211-2 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Gauging the reception of Arab translators to the subtitles of taboo language in Hollywood movies
by: Yousef Sahari, et al.
Published: (2025-05-01) -
Accuracy Analysis of Artificial Intelligence in Arabic Language Translation and Grammatical Rule Mapping
by: Fera Favirotus Siyam, et al.
Published: (2024-12-01) -
Translation Teaching Strategies For Arabic Language Education Students at The State Islamic Institute (IAIN) Ponorogo
by: Amir Mukminin
Published: (2020-12-01) -
Study of the Book: Derasat Fi Nazarit Al-Tarjomah Fi Daow Al-Khobrat Bel-Loqhat Al-Arabiah
(Studies in the Theory of Translation Based on Arabic Language Experiences; Translated from Bosnian Language into Arabic by Jamal Al-Din Sayyed Mohammad)
by: Sayyed Esmaeil Ghasemi Musavi
Published: (2021-04-01) -
A Transdisciplinary Approach to Confrontation Between Self and Other: Factors Influencing the Emergence and Acceptance of Translational Language in Target Language
by: Mohammad Reza Rezaeian Delouei
Published: (2022-02-01)