sillsdev / sillsdev/machine.py
Shared utility for preprocessing training data for MT
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- Dominant language
- Python
- Stars
- 12
- Forks
- 3
- Avg merge
- 2d 3h
- Merged PRs (30d)
- 5
Description
Machine and silnlp have two different implementations of preprocessing/preparing the data for training. We should consider creating a utility function in machine.py that could be used in both machine.py/Serval and silnlp to ensure consistency.
Contributor guide
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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
Compare the two preprocessing implementations in machine.py/Serval and silnlp first, documenting where their behavior differs. Then determine the shared utility's scope in machine.py and verify that both callers can use it while preserving consistent training-data preparation.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Refactor
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100