A Comparison Between Artificial Intelligence and Human Translation in the Case of Muallakât Poems

Emrullah Tanır

Makale detayları

A Comparison Between Artificial Intelligence and Human Translation in the Case of Muallakât Poems

Yazarlar:

Emrullah Tanır

Yayıncı:

Gumushane University

Ana Başlıklar:

İslam Araştırmaları (Diğer)

Dergi:

Gümüşhane Üniversitesi İlahiyat Fakültesi Dergisi Vol.14 Issue 28, pp.513-544

Belge Tipi:

Makale

Yayın Tarihi:

7/2025

Belge Dili:

Türkçe

Document ID (Org No.):

2001354663

pISSN:

2146-7900

Anahtar kelimeler:

Özet:

 This study analyses the meaning transfer processes in the translations of muallakât poems into Turkish.In the study, one couplet from each of the seven muallakât poets was selected and human translations Yaltkaya, Ceviz et al., Suçin and artificial intelligence-based ChatGPT translations of these couplets were analysed comparatively.The translation evaluation was carried out based on criteria such as semantic accuracy, contextual consistency and transfer of literary elements. The studys findings indicate that human translations demonstrate proficiency in contextual sensitivity and preservation of cultural elements; however, they exhibit deficiencies in Turkish fluency and poetic expression. In contrast, ChatGPT translations exhibit enhanced fluency in modern Turkish; nevertheless, they are unable to accurately mirror the intricate layers of meaning and rhetorical elements inherent in the source text.The studys findings thus highlight the strengths and limitations of both human and artificial intelligence translations in literary translation processes, underscoring the efficacy of a hybrid approach that integrates the strengths of both methods to enhance translation quality. To the best of the authors knowledge, no study has hitherto been conducted which has made a comparative analysis of muallakât poems with artificial intelligence translation systems. This study presents an original approach by both evaluating the functionality of artificial intelligence in literary translation processes and reconsidering the role of human translators in the translation of classical texts.

 This study analyses the meaning transfer processes in the translations of muallakât poems into Turkish.In the study, one couplet from each of the seven muallakât poets was selected and human translations Yaltkaya, Ceviz et al., Suçin and artificial intelligence-based ChatGPT translations of these couplets were analysed comparatively.The translation evaluation was carried out based on criteria such as semantic accuracy, contextual consistency and transfer of literary elements. The studys findings indicate that human translations demonstrate proficiency in contextual sensitivity and preservation of cultural elements; however, they exhibit deficiencies in Turkish fluency and poetic expression. In contrast, ChatGPT translations exhibit enhanced fluency in modern Turkish; nevertheless, they are unable to accurately mirror the intricate layers of meaning and rhetorical elements inherent in the source text.The studys findings thus highlight the strengths and limitations of both human and artificial intelligence translations in literary translation processes, underscoring the efficacy of a hybrid approach that integrates the strengths of both methods to enhance translation quality. To the best of the authors knowledge, no study has hitherto been conducted which has made a comparative analysis of muallakât poems with artificial intelligence translation systems. This study presents an original approach by both evaluating the functionality of artificial intelligence in literary translation processes and reconsidering the role of human translators in the translation of classical texts.

 This study analyses the meaning transfer processes in the translations of muallakât poems into Turkish.In the study, one couplet from each of the seven muallakât poets was selected and human translations Yaltkaya, Ceviz et al., Suçin and artificial intelligence-based ChatGPT translations of these couplets were analysed comparatively.The translation evaluation was carried out based on criteria such as semantic accuracy, contextual consistency and transfer of literary elements. The studys findings indicate that human translations demonstrate proficiency in contextual sensitivity and preservation of cultural elements; however, they exhibit deficiencies in Turkish fluency and poetic expression. In contrast, ChatGPT translations exhibit enhanced fluency in modern Turkish; nevertheless, they are unable to accurately mirror the intricate layers of meaning and rhetorical elements inherent in the source text.The studys findings thus highlight the strengths and limitations of both human and artificial intelligence translations in literary translation processes, underscoring the efficacy of a hybrid approach that integrates the strengths of both methods to enhance translation quality. To the best of the authors knowledge, no study has hitherto been conducted which has made a comparative analysis of muallakât poems with artificial intelligence translation systems. This study presents an original approach by both evaluating the functionality of artificial intelligence in literary translation processes and reconsidering the role of human translators in the translation of classical texts.

 Bu çalışma, muallakât şiirlerinin Türkçeye çevirilerinde anlam aktarımı süreçlerini incelemektedir. Çalışmada, yedi muallakât şairine ait birer beyit seçilmiş ve bu beyitlerin insan çevirileri Yaltkaya, Ceviz vd., Suçin ile yapay zekâ tabanlı ChatGPT çevirileri karşılaştırmalı olarak analiz edilmiştir. Çeviri değerlendirmesi, anlam doğruluğu, bağlamsal tutarlılık ve edebî unsurların aktarımı gibi ölçütler çerçevesinde gerçekleştirilmiştir. Analizler, insan çevirilerinin bağlama duyarlılık ve kültürel öğelerin korunması açısından güçlü olduğunu, ancak Türkçe akıcılık ve şiirsellik açısından sınırlılıklar barındırdığını ortaya koymaktadır. Öte yandan, ChatGPT çevirileri modern Türkçeye daha akıcı bir biçimde aktarılmış, ancak kaynak metindeki derin anlam katmanlarını ve belâgat unsurlarını yeterince yansıtamamıştır. Bu bulgular, edebî çeviri süreçlerinde insan ve yapay zekâ çevirilerinin güçlü ve zayıf yönlerini ortaya koymakta ve iki yöntemin birlikte kullanımının çeviri kalitesini artırabileceğini göstermektedir. Alan yazında, muallakât şiirlerinin yapay zekâ çeviri sistemleriyle karşılaştırmalı analizine yönelik herhangi bir çalışmaya rastlanmamıştır. Bu doğrultuda çalışma, hem edebî çeviri süreçlerinde yapay zekânın işlevselliğini değerlendirerek hem de klasik metinlerin çevirisinde insan çevirmenlerin rolünü yeniden ele alarak özgün bir yaklaşım sunmaktadır.

Makale detayları

A Comparison Between Artificial Intelligence and Human Translation in the Case of Muallakât Poems

Yazarlar:

Emrullah Tanır

Yayıncı:

Gumushane University

Ana Başlıklar:

İslam Araştırmaları (Diğer)

Dergi:

Gümüşhane Üniversitesi İlahiyat Fakültesi Dergisi Vol.14 Issue 28, pp.513-544

Belge Tipi:

Makale

Yayın Tarihi:

7/2025

Belge Dili:

Türkçe

Document ID (Org No.):

2001354663

pISSN:

2146-7900

Arabic Literature

Muallaqât

Poetry Translation

Human and Machine Translation

Transfer of Meaning

Artificial Intelligence

ChatGPT.Arap Edebiyatı

Muallakât

Şiir Çevirisi

İnsan ve Makine Çevirisi

Anlam Aktarımı

Yapay Zekâ

ChatGPT.

Sayı

Makale detayları

Yazarlar: Emrullah Tanır

Yayıncı: Gumushane University

Ana Başlıklar: İslam Araştırmaları (Diğer)

Dergi: Gümüşhane Üniversitesi İlahiyat Fakültesi Dergisi Vol.14 Issue 28, pp.513-544

Belge Tipi: Makale

Yayın Tarihi: 7/2025

Belge Dili: Türkçe

Document ID (Org No.): 2001354663

pISSN: 2146-7900

Sayı

Yazarlar:

Emrullah Tanır

Yayıncı:

Gumushane University

Ana Başlıklar:

İslam Araştırmaları (Diğer)

Dergi:

Gümüşhane Üniversitesi İlahiyat Fakültesi Dergisi Vol.14 Issue 28, pp.513-544

Belge Tipi:

Makale

Yayın Tarihi:

7/2025

Belge Dili:

Türkçe

Document ID (Org No.):

2001354663

pISSN:

2146-7900