MACHINE TRANSLATION AND HUMAN TRANSLATION: A COMPARATIVE ANALYSIS
Keywords:
machine translation, human translation, AI, translation studies, linguistic accuracyAbstract
The development of artificial intelligence has significantly influenced translation practices, particularly through machine translation systems. This article compares machine translation and human translation in terms of accuracy, fluency, and cultural adaptation. Drawing on existing literature and comparative text analysis, the study demonstrates that while machine translation offers speed and consistency, human translation remains superior in handling nuance and context. The findings support a hybrid model combining both approaches.
References
1. Hutchins, W. J.; Somers, H. L. An Introduction to Machine Translation. London: Academic Press, 1992.
2. Koehn, P. Statistical Machine Translation. Cambridge: Cambridge University Press, 2010.
3. Newmark, P. A Textbook of Translation. New York: Prentice Hall, 1988.
4. Nida, E. A. Language and Culture in Translating. Shanghai: Shanghai Foreign Language Education Press, 2001.
5. Bengio, Y. Neural machine translation and deep learning. Computational Linguistics Journal, 2016.
