Multilingual Research Software Translation using AI:Breaking the Communication Barriers
Description
Research software engineers can face unique challenges when translating their tools into different human languages. The specialized nature of scientific terminology, contextual nuances in technical explanations, and resource limitations often restrict valuable research applications to single-language availability (predominantly English) [1][2][3]. This creates a fundamental tension between development priorities and accessibility goals that particularly impacts non-English-speaking research communities [4]. This talk will explore how recent advances in AI translation technologies are transforming this landscape, making comprehensive software translation feasible even for resource-constrained research projects [5].
The talk will begin by examining the challenges of research software translation, including the precision requirements for scientific terminology, context-dependency of interface elements, and financial budget & workforce limitations. Traditional approaches to these challenges required specialized domain translators and significant ongoing maintenance investments that were often unsustainable for research software teams, resulting in predominantly English-only tools that limit global scientific participation.
The presenter will then analyze how recent developments in large language models have specifically addressed these translation barriers through contextual understanding, domain adaptation capabilities, and integration with a continuous development workflow. Then, a practical implementation framework that balances automation with necessary human oversight will be presented, providing research software engineers with concrete strategies for integrating AI translation into their development workflows.
Lastly, through a quick demonstration in video, screenshots, or live, the presenter will showcase an example to translate a research software interface. Attendees will gain practical knowledge of research software translation that they can immediately apply to make their software more accessible to international/multilingual scientific communities.
Files
USRSE25-Pengyin.pdf
Files
(2.5 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:b04e1dde14feba02fa277d5b43f02a0b
|
2.5 MB | Preview Download |
Additional details
Dates
- Available
-
2025-10-06Presented on USRSE'25