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 »  Articles Overview  »  Featured Authors  »  Khaled Hassan (Halit HASANOGLU)
Khaled Hassan (Halit HASANOGLU)
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» The Unique Challenges of Arabic in AI Translation
By Khaled Hassan (Halit HASANOGLU) | Published 10/9/2024 | Arabic | Recommendation:RateSecARateSecARateSecARateSecIRateSecI
This article examines why Arabic poses significant challenges for AI translation systems. Despite advances in machine translation, Arabic's unique linguistic features make it particularly difficult to automate. These challenges include its root-based morphology, where words are formed from tri-consonantal roots; complex affixation system; varied plural formations; and strict grammatical gender agreement. Additional complexities like the case system, dual forms, and multiple verb forms further complicate AI translation efforts. While AI continues to evolve, these intricate linguistic aspects of Arabic underscore the ongoing importance of human expertise in translation, suggesting that future progress may lie in combining AI capabilities with human linguistic knowledge.
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» Real-Time Translation: Meeting the Demands of Instant Global Communication
By Khaled Hassan (Halit HASANOGLU) | Published 10/23/2024 | Miscellaneous , Translation Techniques , Specialties , Technology , Business of Translation and Interpreting , Business Issues , Interpreting , Art of Translation and Interpreting , Translation Theory | Not yet recommended
In today's lightning-fast digital world, real-time translation stands as a remarkable blend of human brilliance and technological innovation. Expert interpreters, backed by sophisticated AI tools, transform instant global communication from dream to reality. Whether connecting global boardrooms, enabling virtual classrooms, or supporting critical medical consultations, this powerful combination ensures messages aren't just translated, but truly understood across languages and cultures. As technology advances, the human touch remains the secret ingredient, making sure every nuance and cultural subtlety finds its way across the language barrier.
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