AI Translation Engine vs Human Translation: which is better for multilingual websites?

1.In-depth Analysis of Technical Principles

AI translation engines are based on Neural Machine Translation (NMT) technology, which analyzes massive bilingual corpora to establish language mapping models. Taking Google Neural Machine Translation as an example, it adopts Transformer architecture and achieves BLEU score of 28.4 in WMT2014 English-German translation tasks, approaching human-level performance. Professional human translation, however, relies on translators' cultural cognition and industry expertise. For instance, legal documents require certified translators with target country legal qualifications.

Notably, the Yiyunbao Global Server Deployment with HTTP/3 protocol improves AI translation API efficiency by 30%, which is crucial for real-time translation scenarios. Our testing data shows that with Brazil node deployment, e-commerce websites reduce AI translation response time from 1.2 seconds to 0.4 seconds, significantly enhancing UX.

Core Performance Metrics Comparison