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@congnvp congnvp commented Dec 9, 2025

Types of changes

Localization

Changes visible to users:

  • New feature (prefix: feat - non-breaking change which adds functionality)
    • Issue/discussion:
    • WARNING: If the link is absent, the PR may be closed without review, due to the workload that such reviews usually require.
  • Breaking change (prefix: feat!! or fix!! - fix or feature that would cause existing functionality to not work as expected)
    • Issue/discussion:
  • Bug fix (prefix: fix - non-breaking change which fixes an issue)
    • Issue/discussion:
  • Translation (prefix: i18n - additions or improvements to the translations - see Support a new language)
  • Documentation (prefix: docs - improvements to any documentation content for users)
  • Sample vault (prefix: vault - improvements to the Tasks-Demo sample vault)
  • Contributing Guidelines (prefix: contrib - any improvements to documentation content for contributors - see Contributing to Tasks)

Internal changes:

  • Refactor (prefix: refactor - non-breaking change which only improves the design or structure of existing code, and making no changes to its external behaviour)
  • Tests (prefix: test - additions and improvements to unit tests and the smoke tests)
  • Infrastructure (prefix: chore - examples include GitHub Actions, issue templates)

Description

Adding Vietnamese to the plugin

Motivation and Context

For others use Vietnamese

How has this been tested?

Directly in to my vault's plugin

Screenshots (if appropriate)

Checklist

Terms

Add Vietnamese to the plugin
Add support for new Vietnamese localization
@sonarqubecloud
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sonarqubecloud bot commented Dec 9, 2025

@claremacrae
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Thank you very much.

To help me know how to review it, did you do the translation yourself?

Or did an AI do it? And if so, which one?
(I will use a different one to back-translate to English and review the translations)

@congnvp
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congnvp commented Dec 10, 2025

Thank you very much.

To help me know how to review it, did you do the translation yourself?

Or did an AI do it? And if so, which one?
(I will use a different one to back-translate to English and review the translations)

I have raw-processed by vs-code copilot (don't remember the model, I choose "auto"), then I reviewed line by line by myself.

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2 participants