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Update roadmap's milestone 0.4 phase 1

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Patrick Goldinger 2022-06-24 18:46:08 +02:00 committed by GitHub
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ROADMAP.md
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@ -32,11 +32,24 @@ The development effort of this feature is quite big, thus it is split into multi
- Better integrate clipboard suggestions into word suggestion flow
- Add long-press suggestion action for user to prevent from showing again
- Generally fix and polish suggestions UI design (3-column mode and scrollable mode)
- Add `SuggestionProvider` interface API
- Is responsible for the interaction between UI, input logic and suggestion core
- Add a `SuggestionProvider` interface API to allow for any specialized implementation to be written
- A provider's main task is to receive updates on the current state of the editor (except for raw inputs) and
provide both current word autocorrect/suggestions or next word suggestions if there is no current word
- The provider can utilize the basic APK asset and file APIs for reading dictionary files, however there is no
standardization in parsing as different languages may require different dictionary structures and thus have
different requirements
- Document API and add dummy implementation to test API
- Try to add toggle for not underlining the current word (composing region) while not loosing the caching benefits
- In parallel: Do local research and preps for phase 2
_[Anomaly](https://www.anomaly.ltd/), an Australian software company, will sponsor this project with 1000€ so this phase
gets implemented first, as they want to use FlorisBoard as a base for
their [WCC Language Program project (Gurray)](https://www.anomaly.ltd/portfolio/wcc/gurray/). As this fits in perfectly
with the current dev cycle and this had to be done anyways (some parts like documenting and UI polishing just later in
the 0.4 milestone), I have accepted this. However in general this does not mean this project accepts sponsoring for any
feature to be prioritized, as the project's main goals and planned feature timeline must always come first and human dev
resources are limited._
**Phase 2: Add native (C++) Latin word suggestion core (alpha releases)**
- Research and experiment with different approaches/data sources for Latin-based language prediction and autocorrect