Skip to content

Using the Three-Step Reflection Translation Method

Using AI translation (such as ChatGPT, Gemini, etc.) for subtitle translation can significantly improve translation quality by leveraging contextual information, although minor issues like occasional blank lines may occur.

Video Translation v3.12 introduces the "Three-Step Reflection Translation Method" to further optimize AI translation results. This method requires AI to first perform a direct translation, then reflect on the shortcomings of the direct translation and propose suggestions for improvement, and finally, provide an interpretive translation based on the suggestions. This three-step iteration can significantly improve translation accuracy.

However, the "Three-Step Reflection Translation Method" also has some limitations: First, it consumes more tokens; second, it requires a high level of intelligence from the AI model. The output from less intelligent models tends to be chaotic and disorganized. Therefore, this feature only supports online large language models such as OpenAI ChatGPT and Gemini, and does not support local small models.

How to Enable:

Step 1: Enable Advanced Options

In the menu bar, click "Tools" -> "Options" -> "Advanced Options" in sequence, and then check the two options shown in the image below.

image.png

Step 2: Select an AI Translation Channel

In the "Translation Channel" option, select a channel that supports AI translation, such as "OpenAI ChatGPT/Gemini/Claude AI/302.AI."

image.png

Step 3: Choose a Suitable Model

When selecting a model, for the ChatGPT series, be sure to choose the "gpt-4" or "gpt-4-mini" model and avoid using "gpt-3.5." This is because the higher the intelligence of the model, the better the effect of the "Three-Step Reflection Translation Method"; conversely, you may get meaningless results.

In conclusion, combining the "Three-Step Reflection Translation Method" with a suitable AI model can greatly improve the quality and efficiency of subtitle translation. Be sure to select the appropriate model for the best results.