An Analysis of Neural Machine Translation on Cross-Cultural Communication: A Case Study of Airbnb's Translation Function

Dilara Bal

Article Details

An Analysis of Neural Machine Translation on Cross-Cultural Communication: A Case Study of Airbnb's Translation Function

Authors:

Dilara Bal

Publisher:

Yusuf ÇETİN

Main Topics:

Çeviri ve Yorum Çalışmaları

Journal:

Söylem Filoloji Dergisi Vol.10 Issue 1, pp.608-614

Document Type:

Article

Publication Date:

4/2025

Document Language:

English

Document ID (Org No.):

2001346410

pISSN:

2548-0502

Keywords:

Abstract:

 This study examines the theoretical and practical implications of the online platform Airbnbs automatic translation function, which enables cross-cultural communication without users needing to know each others language. Users are unaware of the language used during the communication between parties on this application and website, thus making it seamless to communicate without speaking the same language. The research encompasses an in-depth analysis of the neural machine translation NMT models powering Airbnbs translation function, exploring their capabilities and limitations. Methodologically, the study has employed a content analysis of the websites language and translation policies as well as a combination of case studies to evaluate the user experience and linguistic accuracy of the translations. The findings of this study highlight both the strengths and areas for improvement in current translation technologies, offering insights into how they can be refined to serve global platforms better. This research has also revealed a common use of automatic translation and provides practical recommendations for enhancing the quality and user experience. By bridging theoretical frameworks with practical applications, this study aims to discuss future developments in translation technologies and their integration into everyday communication tools. The originality of this work lies in exposing the use of automatic translation and the impact of such technologies on user interactions. The significance of this study is underscored by its potential to enhance our understanding of how automated translations can bridge linguistic and cultural gaps in global communication and explain the inner workings of such automatic translation mechanisms.

 This study examines the theoretical and practical implications of the online platform Airbnbs automatic translation function, which enables cross-cultural communication without users needing to know each others language. Users are unaware of the language used during the communication between parties on this application and website, thus making it seamless to communicate without speaking the same language. The research encompasses an in-depth analysis of the neural machine translation NMT models powering Airbnbs translation function, exploring their capabilities and limitations. Methodologically, the study has employed a content analysis of the websites language and translation policies as well as a combination of case studies to evaluate the user experience and linguistic accuracy of the translations. The findings of this study highlight both the strengths and areas for improvement in current translation technologies, offering insights into how they can be refined to serve global platforms better. This research has also revealed a common use of automatic translation and provides practical recommendations for enhancing the quality and user experience. By bridging theoretical frameworks with practical applications, this study aims to discuss future developments in translation technologies and their integration into everyday communication tools. The originality of this work lies in exposing the use of automatic translation and the impact of such technologies on user interactions. The significance of this study is underscored by its potential to enhance our understanding of how automated translations can bridge linguistic and cultural gaps in global communication and explain the inner workings of such automatic translation mechanisms.

 This study examines the theoretical and practical implications of the online platform Airbnbs automatic translation function, which enables cross-cultural communication without users needing to know each others language. Users are unaware of the language used during the communication between parties on this application and website, thus making it seamless to communicate without speaking the same language. The research encompasses an in-depth analysis of the neural machine translation NMT models powering Airbnbs translation function, exploring their capabilities and limitations. Methodologically, the study has employed a content analysis of the websites language and translation policies as well as a combination of case studies to evaluate the user experience and linguistic accuracy of the translations. The findings of this study highlight both the strengths and areas for improvement in current translation technologies, offering insights into how they can be refined to serve global platforms better. This research has also revealed a common use of automatic translation and provides practical recommendations for enhancing the quality and user experience. By bridging theoretical frameworks with practical applications, this study aims to discuss future developments in translation technologies and their integration into everyday communication tools. The originality of this work lies in exposing the use of automatic translation and the impact of such technologies on user interactions. The significance of this study is underscored by its potential to enhance our understanding of how automated translations can bridge linguistic and cultural gaps in global communication and explain the inner workings of such automatic translation mechanisms.

 Bu çalışma, bir sanal platform olan Airbnbnin kullanıcıların birbirlerinin anadilini bilmesine gerek kalmadan kültürlerarası iletişimi mümkün kılan otomatik çeviri işlevinin kuramsal ve pratik etkilerini incelemektedir. Kullanıcılar, bu uygulama ve internet sayfası üzerinden gerçekleştirilen iletişimde kullanılan dilin farkında olmadan, aynı dili konuşmadan sorunsuz bir şekilde iletişim kurabilmektedir. Yöntem kısmında, çalışmada sitenin dil ve çeviri politikalarının içerik analizi ile kullanıcı deneyimini ve çevirilerin dil bilgisel doğruluğunu değerlendirmek için vaka çalışmaları bir arada kullanılmaktadır. Çalışmanın bulguları, mevcut çeviri teknolojilerinin hem güçlü yönlerini hem de geliştirilmesi gereken alanlarını ortaya koyarak küresel platformlara daha iyi hizmet verebilmesi için bu teknolojilerin nasıl iyileştirilebileceğine dair fikir sunmaktadır. Araştırma, yalnızca otomatik çevirinin yaygın bir kullanımını ortaya koymakla kalmayıp çeviri kalitesini ve kullanıcı deneyimini geliştirmeye yönelik pratik öneriler de sunmuştur. Kuramsal çerçeveleri pratik uygulamalarla birleştiren bu çalışma, çeviri teknolojilerindeki gelecekteki gelişmeleri ve bu teknolojilerin günlük iletişim araçlarına entegrasyonunu tartışmıştır. Bu çalışmanın özgünlüğü, otomatik çevirinin kullanımını ve bu tür teknolojilerin kullanıcı etkileşimleri üzerindeki etkisini ortaya koymasıdır. Araştırma, Airbnbnin çeviri işlevini destekleyen nöral makine çeviri NMT veya NMÇ modellerinin derinlemesine bir analizini içermekte; bu modellerin yetilerini ve sınırlılıklarını incelemektedir. Bu çalışmanın önemi, otomatik çevirilerin küresel iletişimdeki dilsel ve kültürel engelleri nasıl aşabileceğine dair farkındalığımızı geliştirme potansiyeli ve bu mekanizmaların iç işleyişini açıklamasında görülebilir.

Article Details

An Analysis of Neural Machine Translation on Cross-Cultural Communication: A Case Study of Airbnb's Translation Function

Authors:

Dilara Bal

Publisher:

Yusuf ÇETİN

Main Topics:

Çeviri ve Yorum Çalışmaları

Journal:

Söylem Filoloji Dergisi Vol.10 Issue 1, pp.608-614

Document Type:

Article

Publication Date:

4/2025

Document Language:

English

Document ID (Org No.):

2001346410

pISSN:

2548-0502

Airbnb

automatic translation

cross-cultural communication

neural machine translation

translation technologiesAirbnb

otomatik çeviri

kültürlerarası iletişim

nöral makine çevirisi

çeviri teknolojileri

Issues

Article Details

Authors: Dilara Bal

Publisher: Yusuf ÇETİN

Main Topics: Çeviri ve Yorum Çalışmaları

Journal: Söylem Filoloji Dergisi Vol.10 Issue 1, pp.608-614

Document Type: Article

Publication Date: 4/2025

Document Language: English

Document ID (Org No.): 2001346410

pISSN: 2548-0502

Issues

Authors:

Dilara Bal

Publisher:

Yusuf ÇETİN

Main Topics:

Çeviri ve Yorum Çalışmaları

Journal:

Söylem Filoloji Dergisi Vol.10 Issue 1, pp.608-614

Document Type:

Article

Publication Date:

4/2025

Document Language:

English

Document ID (Org No.):

2001346410

pISSN:

2548-0502