Next-Generation Translation and Artificial Intelligence: Evaluating Human-Machine Interaction in the English - Turkish Language Pair

Yıl 2025, Cilt: 7 Sayı: 2, 170 - 181, 27.12.2025

Aziz Oğuzhan Çakaloğlu , İnönü Korkmaz

https://doi.org/10.55036/ufced.1700768

https://izlik.org/JA79FL62EX

Öz

Today, AI-based translation technologies are widely utilized in translation and localization processes. As these technologies become increasingly integrated into these workflows, they not only accelerate operations but also introduce new quality standards. This paper evaluates the performance of AI-assisted machine translation systems in translating English into Turkish, focusing on terminology management, semantic shifts, and contextual accuracy. Additionally, the study explores the evolving collaboration between human translators and AI, examining the role of translators in post-editing within the framework of quality assessment criteria. A comparative analysis of AI-generated and human translations will be conducted using various translation output examples. Finally, the opportunities and challenges of artificial intelligence in the translation and localization industry will be discussed and both academic and industry perspectives will be outlined.

Anahtar Kelimeler

Artificial Intelligence , translation technologies , linguistic quality assurance , language data

Yeni Nesil Çeviri ve Yapay Zekâ: Türkçe - İngilizce Dil Çiftinde İnsan Makine Etkileşiminin Değerlendirilmesi

https://izlik.org/JA79FL62EX

Öz

Günümüzde yapay zekâ tabanlı çeviri teknolojileri, çeviri ve yerelleştirme süreçlerinde yaygın olarak karşımıza çıkmaktadır. Çeviri ve yerelleştirme süreçlerine giderek daha fazla entegre edilen bu teknolojiler, hem işleyişi hızlandırmakta hem de yeni kalite standartlarını beraberinde getirmektedir. Mevcut bildiride, yapay zekâ destekli makine çevirisi sistemlerinin İngilizceden Türkçeye yönelik performansı değerlendirilecek olup terminoloji yönetimi, anlam kaymaları ve bağlamsal doğruluk konuları incelenecektir. Ayrıca çeviri sürecinde insan ve yapay zekâ iş birliğinin nasıl şekillendiği tartışılacak; makine çevirisi sonrası düzenleme (post-editing) sürecinde çevirmenlerin rolü, kalite değerlendirme kriterleri çerçevesinde incelenecektir. Ek olarak çeşitli çeviri çıktısı örnekleriyle insan çevirmen ve yapay zekânın çeviri nitelikleri karşılaştırılacaktır. Son olarak çeviri ve yerelleştirme sektöründe yapay zekânın sağladığı fırsatlar ve yarattığı zorluklar ele alınarak hem akademik hem sektörel bakış açısı ana hatlarıyla değerlendirilecektir.

Anahtar Kelimeler

Artificial Intelligence , translation technologies , linguistic quality assurance , language data

Kaynakça

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