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2026 English–Chinese Simplified Localization Benchmark Report
For global brands entering Mainland China and Chinese enterprises expanding internationally, English–Chinese Simplified localization is both business-critical and highly complex. As AI adoption accelerates, business face a key challenge: determining when to rely on AI, when human expertise is essential, and how to balance speed, quality, and cultural accuracy across different content types.
To address this challenge, EC Innovations, in collaboration with Jademond Digital, conducted a comprehensive benchmark study evaluating how localization approaches perform in real-world scenarios. The research compares AI models, machine translation, and human expertise across multiple workflows and content categories.
The result is a practical, data-driven guide that helps localization leaders move beyond assumptions and build effective strategies for the AI era.
Download the report to discover which localization approaches deliver the best results for your content, use cases, and business goals.
What You’ll Learn
- How AI, machine translation, human linguists, and hybrid workflows perform across real enterprise localization scenarios
- When LLMs outperform traditional localization approaches, and when they fall short
- Where human expertise remains essential for accuracy, consistency, and cultural relevance
- How hybrid workflows can improve both efficiency and quality at scale
- Why content type (rather than technology) is the key driver in selecting the right localization workflow
- How to build a scalable localization strategy that aligns with your quality and business goals