Translators' Reception of Machine Translation: The Case of James Baldwin's Turkish Translations

Ezgi Kayadibinli; Göksenin Abdal

Article Details

Translators' Reception of Machine Translation: The Case of James Baldwin's Turkish Translations

Authors:

Ezgi Kayadibinli | Göksenin Abdal

Publisher:

Karamanoglu Mehmetbey University

Main Topics:

Edebi Çalışmalar (Diğer)

Journal:

Karamanoğlu Mehmetbey Üniversitesi Uluslararası Filoloji ve Çeviribilim Dergisi Vol.6 Issue 1, pp.127-146

Document Type:

Article

Publication Date:

6/2024

Document Language:

Turkish

Document ID (Org No.):

2001321878

pISSN:

2687-5586

Keywords:

Abstract:

 The spread of machine translation and the development of neural machine translation have brought about changes in various fields, including literary translation. While reception studies examining the perception of machine translation are still scarce, there is also a very limited number of studies evaluating the translators reception of machine translation. This study aims to estimate translators expectations of machine translation through the Turkish translations of the novel Tell Me How Long The Trains Been Gone 1970 by African American writer James Baldwin. In the analysis, expressions from different translation categories ranging from slang to poetry will be analyzed through examples from two human translations of the novel 1973, 2007 and its raw machine translation DeepL. Within the scope of the reception-oriented analysis, five categories including long sentences, short sentences, idiomatic expressions, slangs and poetic expressions were identified, and twenty-five 25 translators were asked to guess which of the selected passages were translated by machine and to give reasons for their guesses. The data used in the study were obtained through a questionnaire consisting of structured and semi-structured questions. Thematic analysis was used for data analysis, and findings were obtained by associating the answers given by the participant translators with the relevant translation segment. As a result, it was revealed that translators uptake of machine translation varied significantly according to the specified translation categories.

 The spread of machine translation and the development of neural machine translation have brought about changes in various fields, including literary translation. While reception studies examining the perception of machine translation are still scarce, there is also a very limited number of studies evaluating the translators reception of machine translation. This study aims to estimate translators expectations of machine translation through the Turkish translations of the novel Tell Me How Long The Trains Been Gone 1970 by African American writer James Baldwin. In the analysis, expressions from different translation categories ranging from slang to poetry will be analyzed through examples from two human translations of the novel 1973, 2007 and its raw machine translation DeepL. Within the scope of the reception-oriented analysis, five categories including long sentences, short sentences, idiomatic expressions, slangs and poetic expressions were identified, and twenty-five 25 translators were asked to guess which of the selected passages were translated by machine and to give reasons for their guesses. The data used in the study were obtained through a questionnaire consisting of structured and semi-structured questions. Thematic analysis was used for data analysis, and findings were obtained by associating the answers given by the participant translators with the relevant translation segment. As a result, it was revealed that translators uptake of machine translation varied significantly according to the specified translation categories.

 The spread of machine translation and the development of neural machine translation have brought about changes in various fields, including literary translation. While reception studies examining the perception of machine translation are still scarce, there is also a very limited number of studies evaluating the translators reception of machine translation. This study aims to estimate translators expectations of machine translation through the Turkish translations of the novel Tell Me How Long The Trains Been Gone 1970 by African American writer James Baldwin. In the analysis, expressions from different translation categories ranging from slang to poetry will be analyzed through examples from two human translations of the novel 1973, 2007 and its raw machine translation DeepL. Within the scope of the reception-oriented analysis, five categories including long sentences, short sentences, idiomatic expressions, slangs and poetic expressions were identified, and twenty-five 25 translators were asked to guess which of the selected passages were translated by machine and to give reasons for their guesses. The data used in the study were obtained through a questionnaire consisting of structured and semi-structured questions. Thematic analysis was used for data analysis, and findings were obtained by associating the answers given by the participant translators with the relevant translation segment. As a result, it was revealed that translators uptake of machine translation varied significantly according to the specified translation categories.

 Makine çevirisinin yaygınlaşması ve nöral makine çevirisinin gelişmesi edebiyat çevirisi de dahil olmak üzere çeşitli alanlarda değişimleri beraberinde getirmiştir. Makine çevirisine ilişkin algının incelendiği alımlama çalışmaları halihazırda az sayıdayken çevirmenin makine çevirisine ilişkin alımlamasını değerlendiren çalışmalar da çok kısıtlıdır. Bu çalışmanın amacı çevirmenlerin makine çevirisine dair beklentilerini Afrikalı Amerikalı yazar James Baldwinin Tell Me How Long The Trains Been Gone 1970 başlıklı romanının Türkçe çevirileri aracılığıyla ölçümlemektir. James Baldwinin bu eseri okurun metinle doğrudan özdeşlik kurmasını sağlayan birinci tekil şahıs bakışıyla kalem alınmış olup çevirmenlerin makine çevirisi alımlamasına odaklanan bir çalışmada incelenebilecek çeşitli çeviri kategorilerine ilişkin veri sağlamaktadır. Bu çalışmada da argo çevirisinden şiir çevirisine kadar farklı çeviri kategorilerinden ifadeler eserin iki insan çevirisi Balamir, 1973; Cenkçiler, 2007 ile makine çevirisinden DeepL örnekler üzerinden ele alınacaktır. Alımlama odaklı inceleme kapsamında, uzun cümle çevirisi, kısa cümle çevirisi, deyimsel ifade çevirisi, argo çevirisi ve şiirsel ifade çevirisi içerikli beş kategori belirlenmiş, yirmi beş 25 çevirmenin seçilen kesitlerin hangisinin makine çevirisi olduğunu tahmin etmesi ve tahminlerine dair nedenler belirtmesi istenmiştir. Çalışmada kullanılan veriler yapılandırılmış ve yarı yapılandırılmış sorulardan oluşan anket ile elde edilmiştir. Veri analizi için tematik analiz kullanılmış, katılımcı çevirmenlerin verdiği cevaplar ilgili çeviri kesitiyle ilişkilendirilerek bulgular elde edilmiştir. Çalışma sonucunda çevirmenlerin özellikle şiir kategorisinde makine çevirisi alımlamasında başarı gösterdikleri ancak kültüre özgü anlamsal değişkenler içeren argo ve deyim çevirilerinde görece sınırlı alımlamaya sahip oldukları gözlemlenmiştir.

Article Details

Translators' Reception of Machine Translation: The Case of James Baldwin's Turkish Translations

Authors:

Ezgi Kayadibinli | Göksenin Abdal

Publisher:

Karamanoglu Mehmetbey University

Main Topics:

Edebi Çalışmalar (Diğer)

Journal:

Karamanoğlu Mehmetbey Üniversitesi Uluslararası Filoloji ve Çeviribilim Dergisi Vol.6 Issue 1, pp.127-146

Document Type:

Article

Publication Date:

6/2024

Document Language:

Turkish

Document ID (Org No.):

2001321878

pISSN:

2687-5586

translation reception

machine translation

James Baldwin

translator receptionçeviri alımlaması

makine çevirisi

James Baldwin

çevirmen alımlaması

Issues

Article Details

Authors: Ezgi Kayadibinli | Göksenin Abdal

Publisher: Karamanoglu Mehmetbey University

Main Topics: Edebi Çalışmalar (Diğer)

Journal: Karamanoğlu Mehmetbey Üniversitesi Uluslararası Filoloji ve Çeviribilim Dergisi Vol.6 Issue 1, pp.127-146

Document Type: Article

Publication Date: 6/2024

Document Language: Turkish

Document ID (Org No.): 2001321878

pISSN: 2687-5586

Issues

Authors:

Ezgi Kayadibinli | Göksenin Abdal

Publisher:

Karamanoglu Mehmetbey University

Main Topics:

Edebi Çalışmalar (Diğer)

Journal:

Karamanoğlu Mehmetbey Üniversitesi Uluslararası Filoloji ve Çeviribilim Dergisi Vol.6 Issue 1, pp.127-146

Document Type:

Article

Publication Date:

6/2024

Document Language:

Turkish

Document ID (Org No.):

2001321878

pISSN:

2687-5586