İSTATİSTİKSEL MAKİNE ÇEVİRİSİ İLE NÖRAL MAKİNE ÇEVİRİSİNİN DİLBİLİMSEL PARAMETRELERLE KARŞILAŞTIRILMASI: GOOGLE TRANSLATE

Author:

BARUT Evren

Publisher

Ankara Haci Bayram Veli University

Reference10 articles.

1. Choudhury, R. U. (2014). “The Role of Culture in Teaching and Learning of English as a Foreign Language”, Express, an International Journal of Multi Disciplinary Research, 1(4), s. 1-20.

2. Farnia, M., & Suleiman, R. R. (2009), “Contrastive pragmatic study and teaching culture in English language classroom- a case study”, www.ukm.my: http://www.ukm.my/solls09/Proceeding/PDF/maryam,%20raja%20rozina%20et%20al.pdf (Erişim tarihi: 15.04.2016)

3. Ghasemi, H., & Hashemian , M. (2016), “A Comparative Study of Google Translate Translations: An Error Analysis of English-to-Persian and Persian-to-English Translations”. English Language Teaching, 9(3), s. 13-17.

4. Google AI Blog. (2016), “A Neural Network for Machine Translation, at Production Scale”, https://ai.googleblog.com/: https://ai.googleblog.com/2016/09/a-neural-network-for-machine.html (Erişim tarihi: 20.10.2021)

5. İlmer, K., Kocaman, A., & Özsoy, A. S. (2011), Dilbilim Sözlüğü. İstanbul: Boğaziçi Üniversitesi Yayınevi.

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