LLMs like Claude 3.5 outperform DeepL in user preference but struggle with legal texts

Large language models like Claude 3.5 and GPT-4 are showing impressive performance in general translation tasks, with users increasingly opting for them over specialized tools. However, independent research indicates significant issues with legal and technical terminology, where subtle changes in wording can have serious consequences. While LLMs excel in subjective quality and user preference for common texts, their accuracy in high-stakes, specialized domains remains a concern, necessitating careful human oversight. AI

IMPACT LLMs are becoming preferred for general translation, but specialized domains like legal require careful human review due to accuracy concerns.

RANK_REASON The article discusses user preferences and research findings on LLM translation capabilities, comparing them to existing tools and highlighting domain-specific limitations.

Read on dev.to — LLM tag →

• Anthropic
• Claude 3.5
• Claude 3.5 Sonnet
• DeepL
• Google Translate
• GPT-4
• GPT-4o
• Lokalise
• Mel
• Slator
• TOWER-v2-70B
• WMT24

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