E2A Translate: An English to Arabic Rule-Based Translation Framework

E2A Translate is designed to allow users to provide customized responses during communications in Arabic-speaking countries. The proposed work discusses the structural and semantic differences between English and Arabic. Additionally, examine how the two languages relate to each other in terms of different parts of speech. This paper offers a framework for translating English into Arabic based on common grammar rules in both languages. The framework also supports tracking and evaluating exceptions to grammar rules in both languages. Furthermore, it is used to implement a Windows application, which takes advantage of .NET C#, and an Android application, which uses Java. The ultimate purpose of E2A Translate is to provide grammatically correct translations of statements comprising textual and aural tourism-related terminology. English-speaking tourists are the target audience, and the application's goal is to help people speak and understand Arabic the right way, using the right grammar and the right pronunciation. and enunciation. Tests and evaluations compare the accuracy of the translator's translation with that of Google Translate and Bing. The results show that the translation of E2A Translate is 88% successful and 100% meaningful.

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Publication Details

Published
2024-12-30
DOI
https://doi.org/10.1109/inmic64792.2024.11004382
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

E2A Translate: An English to Arabic Rule-Based Translation Framework

Mamoona Humayun, Noor Zaman Jhanjhi, Ghadah Naif Alwakid, Najm Us Sama et al.
Natural Language Processing Techniques
article

E2A Translate: An English to Arabic Rule-Based Translation Framework

Mamoona Humayun, Noor Zaman Jhanjhi, Ghadah Naif Alwakid, Najm Us Sama, Bilal Hassan
article en

Abstract

E2A Translate is designed to allow users to provide customized responses during communications in Arabic-speaking countries. The proposed work discusses the structural and semantic differences between English and Arabic. Additionally, examine how the two languages relate to each other in terms of different parts of speech. This paper offers a framework for translating English into Arabic based on common grammar rules in both languages. The framework also supports tracking and evaluating exceptions to grammar rules in both languages. Furthermore, it is used to implement a Windows application, which takes advantage of .NET C#, and an Android application, which uses Java. The ultimate purpose of E2A Translate is to provide grammatically correct translations of statements comprising textual and aural tourism-related terminology. English-speaking tourists are the target audience, and the application's goal is to help people speak and understand Arabic the right way, using the right grammar and the right pronunciation. and enunciation. Tests and evaluations compare the accuracy of the translator's translation with that of Google Translate and Bing. The results show that the translation of E2A Translate is 88% successful and 100% meaningful.

Jouf University (SA), University of Derby (GB), Northumbria University (GB), Taylor's University (MY), University of Roehampton (GB)
Northumbria University
Openalex Percentile: Top 73%
Natural Language Processing Techniques
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