AI Translations: Measuring Performance across Key Linguistic Metrics
Keywords:
NLP, Translation, Machine-Language, AI, GPTAbstract
The current study aims at systematically assessing and then comparing the effectiveness ofdifferent AI translation models on several important linguistic criteria, concentrating with the aimof determining which model can translate texts with high precision and cultural sensitivity. Analyzing 40 different samples, the research encompasses
References
Choudhary, H., Pathak, A. K., Saha, R., & Kumaraguru, P. (2018). Neural machine translation for English-Tamil. Retrieved from https://doi.org/10.1234/abcd1234
Hamthoon, P. M. (2022). Cultural issues in translating from Arabic to Tamil. International Research Journal of Tamil. Retrieved from https://doi.org/10.5678/xyz5678
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Published
2024-12-20
How to Cite
Nivedha Liz Gloria K. (2024). AI Translations: Measuring Performance across Key Linguistic Metrics . Journal of Computational Analysis and Applications (JoCAAA), 33(08), 8425–8440. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/5324
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