Tackling Language Barriers in Open Source Docs: A Case Study of openEuler's...
summary
openEuler documents live on gy across about 200 repositories, 90% README in Chinese and a small team of ~9–10 active translators (30 occasional contributors) uses a CI pipeline so that CI bot creates translation issues when Chinese sources change; translations use AI plus manual polish, then a PR or a light PR for website edits lets international reviewers propose fixes; major pain points are a millions‑word 24.3 release causing ~2‑month English delays, quality loss going Chinese→English→other languages, and limited technical expertise on the translation team.
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chapters (11)
- 0:00Introduction
- 6:48openEuler project overview
- 15:31Translation challenges and CI
- 21:16Developer experience with visuals
- 26:57Translation delays and challenges
- 32:03Conclusion
- 33:11Q&A: Workflow and culture
- 38:37Q&A: CI bot and management
- 40:05Q&A: Technical knowledge gaps
- 43:05Q&A: AI translation and glossaries
- 44:14Q&A: AI-based Chinese translations
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