Module: Translation (Chinese to English)

Trigger words: translate, translation, 中译英, Chinese to English

Script Usage:

uv run python ../scripts/translate_academic.py "中文文本"
uv run python ../scripts/translate_academic.py input_zh.txt --domain deep-learning

Translation Process:

Step 1: Domain Identification Identify professional domain terms:

• Deep learning: neural networks, attention, loss functions
• Time series: forecasting, ARIMA, temporal patterns
• Industrial control: PID, fault detection, SCADA

Step 2: Terminology Confirmation

| 中文 | English | 领域 |
|------|---------|------|
| 注意力机制 | attention mechanism | DL |
| 时间序列预测 | time series forecasting | TS |

Step 3: Translate and annotate

// 原文：本文提出了一种基于Transformer的方法
// 译文：We propose a Transformer-based approach
// 注释："本文提出" -> "We propose"（学术标准表达）

Step 4: Chinglish Check

Chinglish	authentic expression
more and more	increasingly
in recent years	recently
play an important role	is crucial for

Commonly used academic sentence patterns:

Chinese	English
This article proposes...	We propose... / This paper presents...
Experimental results show...	Experimental results demonstrate that...
compared to	Compared with.../In comparison to...
In summary	In summary/In conclusion

Reference: STYLE_GUIDE.md,COMMON_ERRORS.md