Latex translation guide
🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库,覆盖8大社会科学学科的实证研究。CoPaper.AI 20分钟完成一篇可复现的规范实证论文,并支持用户上传 Skills。-- Maintained by CoPaper.AI from Stanford REAP.
npx -y skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill latex-translation-guideAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
What its author says it does
Copied from the file, not written here
Translate LaTeX documents preserving math formulas and structure
SKILL.md
4.6 KB, as published. Nobody here has run it
LaTeX Document Translation Guide
Overview
Translating LaTeX academic documents requires preserving mathematical formulas, cross-references, citations, and formatting while converting the text between languages. This guide covers tools and techniques for translating LaTeX papers — from command-line utilities to full document pipelines. Particularly useful for making research accessible across language barriers.
LaTeXTrans Approach
# Install LaTeXTrans
pip install latextrans
# Translate a LaTeX file
latextrans translate paper.tex --from en --to zh --output paper_zh.tex
How It Works
- Parse: Extract text segments while preserving LaTeX commands
- Protect: Shield math environments (
$...$,\[...\], equations) - Translate: Send text segments to translation API
- Reconstruct: Reassemble with original LaTeX structure
Python Usage
from latextrans import LatexTranslator
translator = LatexTranslator(
source_lang="en",
target_lang="zh",
engine="google", # or "deepl", "openai"
)
# Translate a file
translator.translate_file("paper.tex", "paper_zh.tex")
# Translate a string
result = translator.translate(
r"The loss function $\mathcal{L}(\theta)$ is minimized "
r"using gradient descent with learning rate $\eta$."
)
# Output preserves $\mathcal{L}(\theta)$ and $\eta$ untouched
MathTranslate Tool
# Install MathTranslate (specialized for math-heavy papers)
pip install mathtranslate
# Translate arXiv paper directly
translate_arxiv 2301.00001 -o translated.tex
# Translate local file
translate_tex paper.tex -o paper_translated.tex
MathTranslate Features
# Configuration
import mathtranslate
# Set translation backend
mathtranslate.config.set_translator("google") # free
mathtranslate.config.set_translator("openai") # higher quality
# Translate with customization
mathtranslate.translate(
input_file="paper.tex",
output_file="paper_zh.tex",
source_lang="en",
target_lang="zh-CN",
threads=4, # parallel translation
)
Manual Translation Tips
Protecting Math Environments
import re
def extract_and_protect(latex_text: str) -> tuple:
"""Extract math environments before translation."""
math_pattern = r'(\$\$[\s\S]*?\$\$|\$[^$]+\$|\\begin\{equation\}[\s\S]*?\\end\{equation\}|\\begin\{align\}[\s\S]*?\\end\{align\})'
placeholders = {}
counter = [0]
def replace_math(match):
key = f"__MATH_{counter[0]}__"
placeholders[key] = match.group(0)
counter[0] += 1
return key
protected = re.sub(math_pattern, replace_math, latex_text)
return protected, placeholders
def restore_math(translated: str, placeholders: dict) -> str:
"""Restore math environments after translation."""
for key, value in placeholders.items():
translated = translated.replace(key, value)
return translated
Commands to Protect
% Always protect these:
\ref{...} % Cross-references
\cite{...} % Citations
\label{...} % Labels
\eqref{...} % Equation references
\url{...} % URLs
\texttt{...} % Code/monospace
% Math environments to protect:
$...$ % Inline math
$$...$$ % Display math
\[...\] % Display math
\begin{equation}...\end{equation}
\begin{align}...\end{align}
\begin{theorem}...\end{theorem} % Custom environments
Bilingual Output
% Create side-by-side bilingual document
\usepackage{paracol}
\begin{paracol}{2}
\switchcolumn[0]
The transformer architecture has become...
\switchcolumn[1]
Transformer架构已经成为...
\switchcolumn[0]
Self-attention computes $\text{Attention}(Q,K,V) = \text{softmax}(\frac{QK^T}{\sqrt{d_k}})V$
\switchcolumn[1]
自注意力计算 $\text{Attention}(Q,K,V) = \text{softmax}(\frac{QK^T}{\sqrt{d_k}})V$
\end{paracol}
Translation Backends
| Backend | Quality | Cost | Speed |
|---|---|---|---|
| Google Translate | Good | Free | Fast |
| DeepL | Better | Freemium | Fast |
| OpenAI GPT-4 | Best | Paid | Slower |
| Claude | Best | Paid | Slower |