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Translate whale/memory-model into Italian (it)

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Assessment

Difficulty
2/5
Estimated time
1-2 days
Newbie friendliness
88/100
Issue type
Documentation
Clarity
Clearly specified
Activity status
Active
Domain
documentation, localization

Research direction

Read the Korean source at wavedoc/ko/whale/memory-model.md, using the English document as a reading aid, then create wavedoc/it/whale/memory-model.md. Follow docs/translation-contributing.md, preserve metadata, examples, code, commands, and identifiers, and set locale: it. Run the three listed checks and confirm the document is fully translated with valid links.

Written by the indexing model from the issue text.

Description

difficulty: beginner documentation good first issue help wanted localization

Translate Memory model into Italian. This task covers one document.

Acceptance criteria
  • Translate the title, summary, and complete prose, including tables, exercises, and answers where present.
  • Set locale: it; preserve the source's shared metadata, example IDs, fenced code/commands/output, and API identifiers.
  • Use Latin script with normal Italian spelling and diacritics. Keep a single it locale without regional variants.
  • Keep documentation links under /docs/it/ and verify heading links. Missing translations may use the English fallback.
  • Run the checks below and review technical meaning against the source. Limit the PR to this document and reference this issue.
python3 tools/check-doc-translations.py --locale it
python3 tools/check-doc-examples.py --links-only
git diff --check
Dominant language
Go
Stars
1
Forks
7
Avg merge
5h 34m
Merged PRs (30d)
38

Getting set up

We have not checked this project's setup files yet. Start from its README, and see our first-contribution guide for the general steps.

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

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