NeonGeckoCom / NeonGeckoCom/NeonCore
Language Handling in Intent Service
Open
Nobody has claimed this yet.
feature
question
- Dominant language
- Python
- Stars
- 213
- Forks
- 66
- Avg merge
- 17h 24m
- Merged PRs (30d)
- 2
Description
Objective
Improve Intent Handling Language Support
Initial Implementation Goals
- Handle intent matching in the user input language
- If no intent matched, handle translation to core language and intent match again
Open Issues
- How should fallback intents be handled (all but unknown use input language, some confidence level before trying in core language?)
- Should language fallback order be configurable?
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
The issue does not name files, tests, or a specific entry point. Start by locating the Intent Service and its language and translation handling, then resolve the open questions about fallback intents, confidence thresholds, and configurable order before defining the implementation and tests.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- ai
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100