Video by FOSSASIA via YouTube
Thai localization projects often face challenges with inconsistent translations, especially when .po translation memory contains mixed styles from outdated and newer sources. While LLMs can produce high-quality translations, they often lack consistency with project-specific tone and style.
In this talk, we introduce Lazy-L10N, an open-source localization tool designed to improve translation consistency using local LLMs and vector search.
Lazy-L10N builds a translation memory from .po files, uses pgvector for semantic retrieval of relevant examples, and leverages a local LLM to generate context-aware, style-consistent translations.
We demonstrate the system using real-world case studies from Okular and KDE Thai localization.
FOSSASIA Summit 2026 held in Bangkok, is Asia’s leading Open Source tech conference featuring sessions on #AI, #Cloud, #DevOps, #Open Hardware, #Security, #Web #Mobile Technologies, #Web3, and #Databases. Learn more: http://summit.fossasia.org
Session slides: https://eventyay.com/ev/88882f3e/talk/R5MK5NQE2NCX/
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