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Pastiera

Suggestions and Dictionaries

Auto-correction section

Use Settings > Auto-correction for everything related to suggestions and substitution behavior.

Pastiera currently exposes:

  • per-language substitution sets
  • shared global rules through the Pastiera recipe set
  • language enable/disable controls
  • editing for individual corrections
  • user dictionary management
  • suggestion-engine tuning

Current feature set

The current app supports these main pieces:

  • Suggestions while typing
  • Match accented words
  • Auto-replace on space/enter
  • Maximum correction distance
  • Manage user dictionary
  • Keyboard Proximity Ranking
  • Edit Type Ranking
  • Experimental suggestions

This means Pastiera can be configured for anything from minimal manual correction to fairly aggressive live assistance.

User dictionary

The user dictionary is the simplest place to adapt Pastiera to your own vocabulary. You can:

  • add words
  • edit saved words
  • remove words
  • keep words that the default dictionaries do not know

This is especially useful for names, technical terms, slang, or multilingual habits.

Languages and correction sources

Suggestion and auto-correction quality depends on the language resources that exist for the active locale. Some layouts may be fully usable even when suggestion support is missing or intentionally disabled.

The app also distinguishes between:

  • available correction data
  • enabled languages
  • languages exposed by IME subtypes

So if a language is visible for typing but suggestions do not work, the most likely cause is missing dictionary or substitution data for that locale.

Experimental status

The app still labels its newer suggestion engine as experimental. In practice, that means:

  • behavior may change faster than in the typing core
  • quality can depend more strongly on language and layout
  • some users will prefer a lighter setup with only selected substitution rules enabled

Practical recommendation

Start with a conservative setup:

  1. enable suggestions while typing
  2. keep auto-replace moderate
  3. add your personal words early
  4. only raise correction aggressiveness if your main language works reliably

This avoids the common problem where a powerful engine is configured too aggressively before its language data matches your real use.

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