Computational Arabic language processing and its applications in the context of artificial intelligence: Reality and aspirations
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Abstract
Computational Arabic language processing and its applications within the framework of artificial intelligence represent both the current state and future aspirations.
In reality, computational Arabic language processing has witnessed significant advancements, leveraging the progress made in artificial intelligence and natural language processing. Applications such as sentiment analysis, machine translation, text summarization, and intelligent personal assistants have emerged, providing valuable tools for Arabic speakers across various domains.
However, there are challenges that need to be addressed. Dialectal variations, limited resources, and the complexity of Arabic grammar present obstacles to further development. Moreover, ensuring ethical considerations, including privacy and fairness, in AI-driven language processing systems remains a critical concern.
Looking forward, there are promising opportunities for computational Arabic language processing. Through continued investment in research and development, collaboration among stakeholders, and a focus on ethical AI practices, enhanced applications and capabilities can be achieved. From improved language comprehension to innovative solutions in fields such as education, healthcare, and communication, the potential impact of AI-driven Arabic language processing is vast.
In conclusion, while computational Arabic language processing has made significant strides in the era of artificial intelligence, there is still much progress to be made. By addressing current challenges and working towards future goals, we can fully harness the potential of AI to empower Arabic language users and facilitate inclusive technological advancements.
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References
1- أحمد نبهان سويلم، الذكاء الصناعي دراسة في المفاهيم الأساسيّة، دراسات عربية في المكتبات وعلم المعلومات، س1، يناير، 1996.
2- تشارلز بيرسي سنو، الثقافتان والثورة العلميّة، تر: لطيفة الديلمي، دار المدى للنشر، العراق، 2018.
3- جون بروكمان وآخرون، الثقافة الثالثة، تر: لطيفة الديلمي، دار المدى للنشر، العراق، 2020.
4- خليفة بن الهادي الميساوي، الذكاء الاصطناعي وحوسبة اللغة العربية، مجلة مدارات في اللغة والأدب، مركز مدارات للدراسات والأبحاث، المجلد01، العدد05، تبسة، الجزائر، 2021.
5- الصانع وليد بن عبد الله، طرق ومستويات معالجة اللغة في الذكاء الاصطناعي في تحليل النص العربي، 2019.
1- Aḥmad Nabhān Suwaylim, al-Dhikāʾ al-ṣināʿī: dirāsa fī al-mafāhīm al-asāsiyya, Dirāsāt ʿArabiyya fī al-maktabāt wa-ʿilm al-maʿlūmāt, vol.1, January, 1996.
2- Charles Percy Snow, al-Thaqāfatān wa-l-thawra al-ʿilmiyya, tr. Laṭīfa al-Dīlmī, Dār al-Madā li-l-nashr, al-ʿIrāq, 2018.
3- John Brockman wa-ākhirūn, al-Thaqāfa al-thālitha, tr. Laṭīfa al-Dīlmī, Dār al-Madā li-l-nashr, al-ʿIrāq, 2020.
4- Khalīfa b. al-Hādī al-Mīsāwī, al-Dhikāʾ al-iṣṭināʿī wa-ḥawsabat al-lugha al-ʿarabiyya, Majallat Madārāt fī al-lugha wa-l-adab, Markaz Madārāt li-l-dirāsāt wa-l-abḥāth, vol.1, no.5, Tībissa, al-Jazāʾir, 2021.
5- al-Ṣāniʿ Walīd b. ʿAbd Allāh, Ṭuruq wa-mustawayāt muʿālajat al-lugha fī al-dhikāʾ al-iṣṭināʿī fī taḥlīl al-naṣṣ al-ʿarabī, 2019.