An Analysis on the Use of Machine Translation Tools in News Translation: The Case of Google Translate and DeepL

Betül Özcan Dost

Makale detayları

An Analysis on the Use of Machine Translation Tools in News Translation: The Case of Google Translate and DeepL

Yazarlar:

Betül Özcan Dost

Yayıncı:

Yusuf ÇETİN

Ana Başlıklar:

Çeviri ve Yorum Çalışmaları

Dergi:

Söylem Filoloji Dergisi Vol.9 Issue 1, pp.259-276

Belge Tipi:

Makale

Yayın Tarihi:

4/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001316292

pISSN:

2548-0502

Anahtar kelimeler:

Özet:

 Abstract While globalization makes itself felt in every aspect of life, the desire and the need to be informed about what is happening worldwide is becoming increasingly important. Therefore, the need for translation is increasing due to this desire and need. Technology has begun to help spread the news more than ever. Thanks to technological developments, people can access news from all over the world. These developments also bring about the need for translation. Machine translation tools, frequently used recently, do not eliminate the need for translation, but they make it easier to access translations of news from all around the world. Due to the need for news translation and the role of technology in providing this, studies on the subject have gained importance. From this point of view, this study aims to comparatively examine the translations of news headlines in the Spanish newspaper El País using Google Translate and DeepL machine translation tools. Within the scope of this study, 90 news headlines in El País newspaper about the earthquakes that occurred in Turkey on February 6, 2023 were selected. The headlines were translated with Google Translate and DeepL machine translation tools, and losses from the source text were detected. Both of the translations were examined comparatively. The data obtained showed that the common reasons for the losses in the translations were grammatical errors, incomplete translations, additions, word choice errors, incorrect transfer of meaningthe failure to transfer the meaning, use of wordsexpressions that are not suitable for the target language, use of wordsexpressions that do not have meaning in the target language, use of wordsexpressions which might lead to misunderstanding in the target language, the failure to translate abbreviations meaningfully and lack of emphasis. On the other hand, it was observed that there was a loss in the translation of proper names only in the Google Translate tool translation.

 Abstract While globalization makes itself felt in every aspect of life, the desire and the need to be informed about what is happening worldwide is becoming increasingly important. Therefore, the need for translation is increasing due to this desire and need. Technology has begun to help spread the news more than ever. Thanks to technological developments, people can access news from all over the world. These developments also bring about the need for translation. Machine translation tools, frequently used recently, do not eliminate the need for translation, but they make it easier to access translations of news from all around the world. Due to the need for news translation and the role of technology in providing this, studies on the subject have gained importance. From this point of view, this study aims to comparatively examine the translations of news headlines in the Spanish newspaper El País using Google Translate and DeepL machine translation tools. Within the scope of this study, 90 news headlines in El País newspaper about the earthquakes that occurred in Turkey on February 6, 2023 were selected. The headlines were translated with Google Translate and DeepL machine translation tools, and losses from the source text were detected. Both of the translations were examined comparatively. The data obtained showed that the common reasons for the losses in the translations were grammatical errors, incomplete translations, additions, word choice errors, incorrect transfer of meaningthe failure to transfer the meaning, use of wordsexpressions that are not suitable for the target language, use of wordsexpressions that do not have meaning in the target language, use of wordsexpressions which might lead to misunderstanding in the target language, the failure to translate abbreviations meaningfully and lack of emphasis. On the other hand, it was observed that there was a loss in the translation of proper names only in the Google Translate tool translation.

 Abstract While globalization makes itself felt in every aspect of life, the desire and the need to be informed about what is happening worldwide is becoming increasingly important. Therefore, the need for translation is increasing due to this desire and need. Technology has begun to help spread the news more than ever. Thanks to technological developments, people can access news from all over the world. These developments also bring about the need for translation. Machine translation tools, frequently used recently, do not eliminate the need for translation, but they make it easier to access translations of news from all around the world. Due to the need for news translation and the role of technology in providing this, studies on the subject have gained importance. From this point of view, this study aims to comparatively examine the translations of news headlines in the Spanish newspaper El País using Google Translate and DeepL machine translation tools. Within the scope of this study, 90 news headlines in El País newspaper about the earthquakes that occurred in Turkey on February 6, 2023 were selected. The headlines were translated with Google Translate and DeepL machine translation tools, and losses from the source text were detected. Both of the translations were examined comparatively. The data obtained showed that the common reasons for the losses in the translations were grammatical errors, incomplete translations, additions, word choice errors, incorrect transfer of meaningthe failure to transfer the meaning, use of wordsexpressions that are not suitable for the target language, use of wordsexpressions that do not have meaning in the target language, use of wordsexpressions which might lead to misunderstanding in the target language, the failure to translate abbreviations meaningfully and lack of emphasis. On the other hand, it was observed that there was a loss in the translation of proper names only in the Google Translate tool translation.

 Öz Küreselleşme hayatın her alanında kendini hissettirirken dünyada olup bitenlerden haberdar olma isteği ve ihtiyacı da giderek daha önemli hale gelmektedir. Dolayısıyla çeviriye duyulan ihtiyaç da bu istek ve ihtiyacın bir sonucu olarak artmaktadır. Teknoloji ise haberlerin yayılmasına her zamankinden daha fazla yardımcı olmaya başlamıştır. Teknolojik gelişmeler sayesinde insanlar dünyanın dört bir yanından haberlere ulaşabilmektedir. Bu gelişmeler de çeviriye olan ihtiyacı beraberinde getirmektedir. Son zamanlarda sıklıkla kullanılan makine çevirisi araçları ise çeviri ihtiyacını ortadan kaldırmamakta, ancak dünyanın dört bir yanındaki haberlerin çevirilerine ulaşmayı kolaylaştırmaktadır. Haber çevirisine duyulan ihtiyaç ve teknolojinin bunu sağlamadaki rolü nedeniyle konu ile ilgili çalışmalar önem kazanmıştır. Bu noktadan hareketle, bu çalışmanın amacı İspanyol El País gazetesinde yer alan haber başlıklarının Google Translate ve DeepL makine çevirisi araçları kullanılarak yapılan çevirilerini karşılaştırmalı olarak incelemektir. Bu çalışma kapsamında, 6 Şubat 2023 tarihinde Türkiyede meydana gelen depremler ile ilgili El País gazetesinde yer alan 90 haber başlığı seçilmiştir. Söz konusu başlıklar Google Translate ve DeepL makine çevirisi araçları ile çevrilmiş ve kaynak metinle karşılaştırıldığında kayıplar tespit edilmiştir. Her iki çeviri karşılaştırmalı olarak incelenmiştir. Elde edilen veriler çevirilerde karşılaşılan kayıpların ortak sebeplerinin dilbilgisi hatası, eksik çeviri, eklemeler, sözcük seçimi hatası, anlamın yanlış aktarılmasıaktarılamaması, erek dile uygun olmayan sözcükifade kullanımı, erek dilde anlam taşımayan sözcükifade kullanımı, erek dilde yanlış anlaşılmaya yol açabilecek sözcükifade kullanımı, kısaltmaların anlamlı şekilde çevrilememesi ve vurgu eksikliği olduğunu göstermiştir. Diğer yandan, yalnızca Google Translate çeviri aracı tarafından yapılan çeviride özel isimlerin çevirisi konusunda kayıp yaşandığı tespit edilmiştir. Anahtar sözcükler: çeviride kayıp, haber çevirisi, makine çevirisi, Google Translate, DeepL.

Makale detayları

An Analysis on the Use of Machine Translation Tools in News Translation: The Case of Google Translate and DeepL

Yazarlar:

Betül Özcan Dost

Yayıncı:

Yusuf ÇETİN

Ana Başlıklar:

Çeviri ve Yorum Çalışmaları

Dergi:

Söylem Filoloji Dergisi Vol.9 Issue 1, pp.259-276

Belge Tipi:

Makale

Yayın Tarihi:

4/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001316292

pISSN:

2548-0502

loss in translation

news translation

machine translation

Google Translate

DeepLçeviride kayıp

haber çevirisi

makine çevirisi

Google Translate

DeepL

Sayı

Makale detayları

Yazarlar: Betül Özcan Dost

Yayıncı: Yusuf ÇETİN

Ana Başlıklar: Çeviri ve Yorum Çalışmaları

Dergi: Söylem Filoloji Dergisi Vol.9 Issue 1, pp.259-276

Belge Tipi: Makale

Yayın Tarihi: 4/2024

Belge Dili: Türkçe

Document ID (Org No.): 2001316292

pISSN: 2548-0502

Sayı

Yazarlar:

Betül Özcan Dost

Yayıncı:

Yusuf ÇETİN

Ana Başlıklar:

Çeviri ve Yorum Çalışmaları

Dergi:

Söylem Filoloji Dergisi Vol.9 Issue 1, pp.259-276

Belge Tipi:

Makale

Yayın Tarihi:

4/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001316292

pISSN:

2548-0502