[bulubulu]

Thanks for making this tool, highly useful! In the example you used, more native way is to include the "把" verb structure i.e. 你得把鞋带系好 instead of 你得系好鞋带. I was thinking if this could be improved by adding some examples in the prompt? I've heard that LLMs are good with learning by examples. I'm not sure if it works since you're first getting the English output and then translating it.

[dwilding]

Thanks! Earlier in the project I tried to find a way to generate English but with Chinese grammar - something like “you need to grab your shoelaces and tie them well” - as a way to help memorize grammatical structures. But I didn’t get very far with that. For one reason, I couldn’t coax an LLM to output such unnatural English (!)

So in the end I decided that I can ask GPT-4 to explain alternative structures based on the translation I get

Ideally, I would like to find a reliable way to directly transform my first attempt at an expression into a native-level expression, without necessary routing via English. It didn’t seem doable with the LLMs I tried so far, but there are others I can try, and maybe some training would help too - as you say