Translate CS Textbooks Instantly with AI: A Hands‑On Higress Cloud‑Native Guide
This guide shows how to use free AI translation tools—Immersive Translate and OpenAI Translator—together with the Higress cloud‑native AI‑proxy plugin, configuring Docker, model mappings, and custom dictionaries to efficiently translate computer‑science textbooks like Rust and Crafting Interpreters, while comparing machine and human translations.
Background
Technical textbooks in Chinese often suffer from low translation quality because translators may lack deep domain knowledge. Large language models (LLMs) can generate more accurate and fluent translations.
Free Translation Tools
Immersive Translate – Chrome extension that translates PDF, EPUB, and video subtitles in real time. URL: https://immersivetranslate.com OpenAI Translator – Open‑source GitHub project that forwards translation requests to an OpenAI‑compatible endpoint. URL: https://github.com/openai-translator/openai-translator Both tools can be combined with Alibaba Higress AI‑proxy plugin to route requests to low‑cost LLMs such as Qwen‑long or Qwen‑max.
Example: Translating Rust Documentation
The “Understanding Ownership” chapter from The Rust Programming Language was translated using Immersive Translate (LLM‑based) and compared with a community‑maintained Chinese version ( https://github.com/KaiserY/trpl-zh-cn). The LLM output used smoother sentence structures, removed redundant particles, and produced more natural Chinese.
Setting Up Higress AI‑Proxy
Higress runs as a Docker container and maps incoming model names to specific Qwen models.
# Create a working directory
mkdir higress && cd higress
# Run Higress (all‑in‑one image version 1.4.0‑rc.1)
docker run -d --rm --name higress-ai \
-v ${PWD}:/data \
-p 8001:8001 -p 8080:8080 \
-e CONFIG_TEMPLATE=ai-proxy \
-e DEFAULT_AI_SERVICE=qwen \
-e DASHSCOPE_API_KEY="YOUR_API_KEY" \
higress-registry.cn-hangzhou.cr.aliyuncs.com/higress/all-in-one:1.4.0-rc.1Default model mapping:
gpt‑4 → qwen‑max
All other models → qwen‑long
Step 0 – Obtain a 通义千问 API Key
Register an Alibaba Cloud account (e.g., via Alipay).
Log in to the DashScope console and create an API key.
Step 1 – Start Higress
Execute the Docker command above. The plugin listens on port 8080 for proxy requests and port 8001 for admin UI.
Step 2.1 – Configure Immersive Translate
In Immersive Translate settings select “OpenAI” as the provider, choose the cheapest model (qwen‑long) and set the custom endpoint to:
http://127.0.0.1:8080/api/openai/v1/chat/completionsNo API key is required because Higress forwards the request.
Step 2.2 – Configure OpenAI Translator
Set the provider to OpenAI and change the model to “gpt‑4”. Higress will map this to qwen‑max for higher‑quality translations.
Uploading a Custom Dictionary
Qwen‑long supports file‑upload‑based context. Upload a glossary file to DashScope:
curl --location --request POST 'https://dashscope.aliyuncs.com/compatible-mode/v1/files' \
--header 'Authorization: Bearer YOUR_API_KEY' \
--form 'file=./dict.txt' \
--form 'purpose="file-extract"'The response returns an id (e.g., file-fe-xxxxxxx) that must be added to the Higress AI‑proxy configuration:
provider:
apiTokens:
- "sk-..."
modelMapping:
'*': "qwen-long"
gpt-4: "qwen-max"
gpt-4-turbo: "qwen-max"
gpt-4o: "qwen-max"
qwenFileIds:
- "file-fe-xxxxxxx"
type: "qwen"After this, translations will incorporate the custom glossary.
Supported Model Providers
通义千问
OpenAI
Azure OpenAI
月之暗面
智谱AI
百川智能
零一万物
Ollama
DeepSeek
Groq
Anthropic Claude
For detailed plugin configuration see the Higress repository:
https://github.com/alibaba/higress/tree/main/plugins/wasm-go/extensions/ai-proxyKey Takeaways
By combining free LLM‑based translation extensions with the Higress AI‑proxy plugin, users can obtain high‑quality, low‑cost translations of technical documents, attach custom glossaries, and extend the setup to other AI‑driven use cases such as FAQ bots.
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