This week, 270 translation tasks were completed by 3 models. Two samples were selected for multi-model blind evaluation, with the overall best being gpt-o3 (average score 9/10).
This Week's Translation Statistics
| Model | Language | Volume | Avg Time | Avg Quality Score |
|---|---|---|---|---|
| deepseek-v4-flash | en | 76 | 11.8s | Unrated |
| claude-sonnet-4.6 | ja | 188 | 35.4s | Unrated |
| claude-sonnet-4.6 | en | 2 | 21.4s | Unrated |
| native-english | en | 2 | - | Unrated |
| deepseek-v4-flash | zh | 2 | 9.5s | Unrated |
Sample Comparison Evaluation
Evaluation 1: "Future Truth" Author Questioned on AI Use, Awkward Scene
| Model | Accuracy | Fluency | Terminology | Readability | Total Score |
|---|---|---|---|---|---|
| claude-sonnet-4.6 | 8 | 7 | 8 | 7 | 7 |
| deepseek-v4-pro | 9 | 8 | 9 | 8 | 8 |
| gpt-o3 | 8 | 9 | 8 | 9 | 9 |
claude-sonnet-4.6
✓ Handled expressions like "criticized for using a large number of AI-generated citations" in a manner that closely matches the original critical tone.
✗ Obvious truncation at the end of the paragraph, incomplete content affecting readability.
deepseek-v4-pro
✓ Expressions like "when systematic forgery exists" are logically clear, with consistent use of the term "generative AI".
✗ Some long sentences are slightly stiff, e.g., "exposed to anxiety about technological applications" has a slight translationese flavor.
gpt-o3
✓ The subheading "the problem that self-revealed during the interview" is handled naturally, with smooth paragraph transitions.
✗ A few expressions slightly deviate from the original, e.g., "since its rapid spread" slightly adjusts the time description.
Conclusion: The overall quality of the three versions is similar. Version C has the best fluency and readability, Version B has better accuracy and terminology consistency, and Version A is the weakest due to truncation issues.
Evaluation 2: YouTube Will Auto-Tag AI-Generated Videos, But Loopholes Still Exist
| Model | Accuracy | Fluency | Terminology | Readability | Total Score |
|---|---|---|---|---|---|
| claude-sonnet-4.6 | 8 | 7 | 9 | 8 | 8 |
| deepseek-v4-pro | 9 | 8 | 8 | 8 | 8 |
| gpt-o3 | 9 | 9 | 9 | 9 | 9 |
claude-sonnet-4.6
✓ Terminology such as "generative video models like Sora, Runway, etc." is translated accurately and professionally, preserving the technical details of the original.
✗ Some sentences are overly long, making reading somewhat difficult, e.g., the stacking of clauses at the end of the first paragraph.
deepseek-v4-pro
✓ The title translation "YouTube automatically labels AI-generated videos but loopholes still exist" directly corresponds to the original meaning, concise and accurate.
✗ Some expressions are slightly stiff, e.g., "active declaration" is not as natural as "voluntary declaration".
gpt-o3
✓ The translation of the quote "We recognize that the boundaries of AI videos are becoming blurred" is fluent and natural, with clear logical connections.
✗ Some wording is slightly too formal, e.g., "Product Management Director" could be simplified.
Conclusion: The overall quality of the three versions is similar. gpt-o3 slightly excels in fluency and readability, the Claude version has the most professional terminology, and the DeepSeek version's title is closest to the original. All versions have truncation issues at the end.
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