ترجمة مصطلحات النحو التوليدي الإنجليزية إلى العربية بواسطة (ChatGPT) - العوائق والحلول.
Artificial Intelligence (AI) models have attracted global attention due to their ability to simulate human intelligence through neural models capable of learning, reasoning, and understanding languages from data. This has resulted in the emergence of several (AI) models and tools, including (ChatGPT...
| Published in: | Arab Journal for the Humanities Vol. 44; no. 173; pp. 207 - 234 |
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| Main Authors: | , |
| Format: | Article |
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Kuwait University
Winter2026
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| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=191547893&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 191547893 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 10269576 1WRG jtl: Arab Journal for the Humanities issn: 10269576 maglogo: N pubinfo: dt: Winter2026 vid: 44 iid: 173 pid: 19632 pub: Kuwait University artinfo: ui: 191547893 10.34120/ajh.v44i173.3589 ppf: 207 ppct: 27 formats: fmt: @attributes: type: P size: 5.4MB tig: atl: ترجمة مصطلحات النحو التوليدي الإنجليزية إلى العربية بواسطة (ChatGPT) - العوائق والحلول. aug: au: محمد قاسم الشرما عبدالرحمن عبدال& affil: أستاذ، قسم الدراسات الإنجليزية كلية الآداب، جامعة إب اليمن. استاذ، قسم اللغة العربية كلية العلوم الإنسانية والاجتماعية، جامعة الملك سعود المملكة العربية السعودية. su: ChatGPT Generative grammar Translating & interpreting Artificial intelligence Machine translating Linguistic analysis Arabic language English language sug: subj: ChatGPT Generative grammar Translating & interpreting Artificial intelligence Machine translating Linguistic analysis Arabic language English language keyword: (ChatGPT) translation English-Arabic translation generative syntax terms problems proposed solutions إشكاليات إنجليزية عربية ترجمة حلول مصطلحات النحو التوليدي (ChatGPT) ترجمة ab: Artificial Intelligence (AI) models have attracted global attention due to their ability to simulate human intelligence through neural models capable of learning, reasoning, and understanding languages from data. This has resulted in the emergence of several (AI) models and tools, including (ChatGPT). These models have been used in various aspects of life, including translation, subtitling, film industry. (ChatGPT) is regarded as one of the most prominent and effective (AI) models in the field of translation, due not only to its ability to translate large texts into multiple languages in a very short time, but also because of the high quality of its translations compared to other models. This article aims to examine the ability of (ChatGPT) to translate English generative syntax terms into Arabic. It seeks to identify the challenges involved and propose suitable solutions to address or mitigate these problems. Forty terms were collected from generative literature. The study employs a micro-analysis utilizing both comparative and analytical approaches. We first translated these terms and then had them translated by (ChatGPT). The two sets of translations were then compared and analyzed, based on two main criteria: i) translation strategy, which includes translation by addition, morphological derivation, Arabization and foreignization, and ii) translation accuracy, which comprises correct translation, appropriate translation, and completely incorrect translation. Findings reveal that (ChatGPT’s) translation exhibits significant shortcomings, with several syntactic, lexical and semantic problems. The study proposes some effective solutions to improve (ChatGPT) translation of English generative syntax terms into Arabic, including all aspects of Arabic generative grammar in the Arabic training data. pubtype: Academic Journal doctype: Article src: R language: Arabic refInfo: copyright: @attributes: flag: Y custom: Copyright of Arab Journal for the Humanities is the property of Kuwait University, Academic Publication Council and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. item: Arab Journal for the Humanities holder: Kuwait University, Academic Publication Council dt: @attributes: year: 2026 holdings: @attributes: islocal: N |
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