qt-translation-assistant

Automating Qt TS file translation with AI involves processing the localization files to translate only unfinished XML nodes. This skill uses the requests library and a qt_translation_config.json file to connect to an AI model and translate strings in parallel batches.

Translating only unfinished strings in Qt localization files requires detecting <translation> nodes that lack completed text. This skill specifically targets and translates unfinished nodes while preserving the original XML structure and formatting, leaving existing translations untouched.

Speeding up Qt project localization for multiple TS files is achieved through parallel batch translation. By using ThreadPoolExecutor, this skill concurrently translates multiple strings across TS files, scaling efficiently from small to large Qt projects.

You need Python 3.7+ to translate Qt TS files in parallel using this approach. The skill also requires the requests library installed and a properly configured qt_translation_config.json file to connect to the AI model for processing.

AI can translate Qt TS files without breaking the XML structure by preserving the original formatting during processing. This skill ensures the XML structure remains intact while injecting AI-translated text into the unfinished translation nodes.

Qt translation handles per-file language inference by automatically detecting the target language from the TS filename. This allows the skill to process a directory of TS files for different languages without manual configuration for each individual file.