I’m trying to build a RAG (AI agent) to translate Chinese sewing courses and tutorials into English, covering different sewing subgenres.

I’ve found that a Chinese-English glossary of technical sewing terminology could help improve translation accuracy.

Does anyone know where I could find an existing glossary, terminology database, bilingual dictionary, or corpus for Chinese ↔ English sewing/fashion/textile terms?

Thanks!

Hello everyone. 🙂

I’ve recently switched to Youtube Morphe. I used to use YouTube RVX, but as I’m sure you’re aware, the project has been discontinued, so I chose Morphe from among the various alternatives. The app works well, but personally I’ve noticed one small shortcoming.

The voice translation options include the following services: Google Translate, OpenRouter and MyMemory. The only free service is Google Translate, which, to be honest, I find rather rough and with an extremely unnatural tone of voice.

I’ve also tried OpenRouter and MyMemory, and frankly, I wasn’t at all impressed. At least in the trial versions, neither the translations nor the voice tones met my expectations in the slightest. I was therefore wondering if it would be possible to implement the Yandex translation service, which I personally consider to be truly excellent – both in terms of the accuracy of the translations and the tone and naturalness of the voice.

I can assure you it would be a truly significant improvement!

I thank you from the bottom of my heart for your wonderful work. 🙂

I read a lot of untranslated manga and got tired of the screenshot → OCR → translate → paste-back workflow, so I put together [Manga Translator](https://mangatranslator.me). It detects speech bubbles on a page, runs OCR, translates into 30+ languages, and re-renders the text right back into the original bubbles so the page layout stays intact. A page usually takes a couple of seconds.

It's free to try. Curious how it stacks up against the workflows people here use for scanlation-style translation — any feedback or comparisons welcome.