Community and technology to make document translation work fun and productive
summary
Argues translation work splits into low‑value language conversion and high‑value technical interpretation, so save time by automating the former and reserving humans for terminology decisions; recommends sharing translation memory (TM/TMX) repositories, appointing a maintainer to merge updates, and training MT on community TMs to optimize results. Recommends tools: OmegaT (desktop, 30+ formats including PowerPoint, integrates Google/DeepL) and TexTra (NICT) (free online MT and TM/ glossary export). Proposes an open common platform so communities reuse TMs instead of reinventing translations.
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chapters (14)
- 0:00Introduction and agenda
- 1:04Translation challenges in communities
- 3:38Nature of translation work
- 6:54Business model for translation
- 9:20Building a common platform
- 11:52Key requirements for platform
- 13:18Translation memory explained
- 16:52Sharing translation memory workflow
- 18:19Tools for translation
- 20:29Online translation tools
- 22:39Optimizing machine translation
- 24:49People and community motivation
- 27:16Making translation fun and productive
- 28:22Final call to action
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