Translatability Of Arabic Fixed Expressions In Three Novels Into English Using Neural Machine Translation

Arabic fixed expressions (AFEs) have a symbolic figurative meaning that cannot be predicted from the individual components or the literal meanings of constituent parts. Many users nowadays rely on NMT systems to translate AFEs since these systems became an essential part of the process of translatio...

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Main Author:	Mohammad Aldelaa, Abdullah Sanad
Format:	Thesis
Language:	English
Published:	2022
Subjects:	P1-1091 Philology Linguistics(General)
Online Access:	http://eprints.usm.my/59499/1/24%20Pages%20from%20ABDULLAH%20SANAD%20MOHAMMAD%20ALDELAA.pdf
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id	my-usm-ep.59499
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spelling	my-usm-ep.594992023-10-18T01:47:49Z Translatability Of Arabic Fixed Expressions In Three Novels Into English Using Neural Machine Translation 2022-02 Mohammad Aldelaa, Abdullah Sanad P1-1091 Philology. Linguistics(General) Arabic fixed expressions (AFEs) have a symbolic figurative meaning that cannot be predicted from the individual components or the literal meanings of constituent parts. Many users nowadays rely on NMT systems to translate AFEs since these systems became an essential part of the process of translation. However, Neural Machine translation (NMT) creates a sort of difficulty and challenge to those who do not have enough experience in the translation of fixed expressions like proverbs and idioms. These translation systems might create a gap between Source Language (SL) and Target Language (TL). The study investigates the syntactic structure of the Arabic Fixed Expressions (AFEs), which allows a high level of accuracy to be achieved in its translation using selected Neural Machine Translation (NMT) systems. Also, this study seeks to identify the most efficient system to render the meaning of the (AFEs) extracted from the the three novels. Moreover, 2022-02 Thesis http://eprints.usm.my/59499/ http://eprints.usm.my/59499/1/24%20Pages%20from%20ABDULLAH%20SANAD%20MOHAMMAD%20ALDELAA.pdf application/pdf en public phd doctoral Perpustakaan Hamzah Sendut Pusat Bahasa Dan Terjemahan
institution	Universiti Sains Malaysia
collection	USM Institutional Repository
language	English
topic	P1-1091 Philology Linguistics(General)
spellingShingle	P1-1091 Philology Linguistics(General) Mohammad Aldelaa, Abdullah Sanad Translatability Of Arabic Fixed Expressions In Three Novels Into English Using Neural Machine Translation
description	Arabic fixed expressions (AFEs) have a symbolic figurative meaning that cannot be predicted from the individual components or the literal meanings of constituent parts. Many users nowadays rely on NMT systems to translate AFEs since these systems became an essential part of the process of translation. However, Neural Machine translation (NMT) creates a sort of difficulty and challenge to those who do not have enough experience in the translation of fixed expressions like proverbs and idioms. These translation systems might create a gap between Source Language (SL) and Target Language (TL). The study investigates the syntactic structure of the Arabic Fixed Expressions (AFEs), which allows a high level of accuracy to be achieved in its translation using selected Neural Machine Translation (NMT) systems. Also, this study seeks to identify the most efficient system to render the meaning of the (AFEs) extracted from the the three novels. Moreover,
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Mohammad Aldelaa, Abdullah Sanad
author_facet	Mohammad Aldelaa, Abdullah Sanad
author_sort	Mohammad Aldelaa, Abdullah Sanad
title	Translatability Of Arabic Fixed Expressions In Three Novels Into English Using Neural Machine Translation
title_short	Translatability Of Arabic Fixed Expressions In Three Novels Into English Using Neural Machine Translation
title_full	Translatability Of Arabic Fixed Expressions In Three Novels Into English Using Neural Machine Translation
title_fullStr	Translatability Of Arabic Fixed Expressions In Three Novels Into English Using Neural Machine Translation
title_full_unstemmed	Translatability Of Arabic Fixed Expressions In Three Novels Into English Using Neural Machine Translation
title_sort	translatability of arabic fixed expressions in three novels into english using neural machine translation
granting_institution	Perpustakaan Hamzah Sendut
granting_department	Pusat Bahasa Dan Terjemahan
publishDate	2022
url	http://eprints.usm.my/59499/1/24%20Pages%20from%20ABDULLAH%20SANAD%20MOHAMMAD%20ALDELAA.pdf
_version_	1783729567996837888

Translatability Of Arabic Fixed Expressions In Three Novels Into English Using Neural Machine Translation

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