ScholarTranslate: An Intelligent Translation Platform for Academic Documents Based on Large Language Models

ScholarTranslate is an intelligent translation platform designed specifically for academic papers and documents. It relies on large language models to achieve high-quality translations while fully preserving the original document layout. This open-source project (maintained by HieuXiao on GitHub, released on May 31, 2026) aims to address pain points of traditional machine translation in academic scenarios, such as inaccurate terminology and layout disruption, providing a professional solution for the academic community.

In international academic research exchanges, language barriers trouble scholars. Traditional machine translation faces two core challenges: inaccurate translation of professional terminology, and disruption of document layout formats during translation (e.g., loss or distortion of mathematical formulas, charts, and citation formats). ScholarTranslate was born to address these pain points, aiming to provide a professional solution that balances translation quality and layout integrity.

Large Language Model-Driven Translation Engine

Compared to traditional models, LLM advantages:

• Context understanding: Captures long-distance dependencies, understands complex logic and disciplinary contexts
• Professional terminology handling: Pre-training + domain fine-tuning for accurate translation of disciplinary terms
• Language style preservation: Reproduces academic writing norms

Layout Integrity Protection Mechanism

• Mathematical formulas: Correctly preserves LaTeX formulas and symbols
• Chart structure: Maintains the position and layout of tables, images, and their captions
• Citation formats: Fully preserves references, footnotes, etc.
• Paragraph styles: Does not disrupt attributes like heading levels, lists, and indentation

Researchers

Lowers language barriers, improves literature reading efficiency, and focuses on content analysis and innovation

International Academic Exchanges

Breaks language barriers, promotes global academic resource sharing, and helps disseminate the achievements of non-English researchers

Educational Institutions

Provides convenient access to academic resources, supports multilingual teaching and research, and enhances internationalization levels

• Document format diversity: Special parsing and reconstruction required for PDF, Word, LaTeX, etc.
• Breadth of professional fields: Covers multidisciplinary terminology systems from mathematics and physics to biomedicine
• Computational resource balance: High LLM inference costs require balancing quality and response speed
• Copyright and privacy: Ensuring the security of users' academic document data

Compared to general tools like DeepL and Google Translate, ScholarTranslate's differentiation lies in its focus on academic scenarios and emphasis on layout protection. Future trends:

• Multimodal capabilities: Understand and translate chart information
• Real-time collaboration: Support multi-person collaborative translation and review
• Personalized adaptation: Adjust style based on disciplinary background
• Toolchain integration: Integrate with literature management and academic search tools

ScholarTranslate is an important attempt in the intelligent and professional development of academic translation. It combines LLM language capabilities with fine document processing to provide an open-source solution. It has practical value for scholars and institutions to reduce language barriers and improve efficiency. We look forward to further improvements in accuracy and convenience through technical iterations, promoting global knowledge dissemination and academic exchanges.