Convert less common scripts to Latin, Arabic, cyrilic
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research
- Dominant language
- Python
- Stars
- 39
- Forks
- 7
- Avg merge
- 1d 9h
- Merged PRs (30d)
- 5
Description
There is great research from Taeho Jang that we could get a 10pnt Bleu score bump from using a common script instead of an uncommon one. This should be aggressively researched. A possible implementation:
- Find a good tokenizer (TECkit) to convert to a common script
- Run the NLLB model
- Reconvert to the original script (either with TECkit or training a model in both directions)
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
Read the linked Taeho Jang research and the proposed TECkit → NLLB → reconversion workflow first. Done should be demonstrated by a reproducible experiment showing the claimed BLEU improvement while preserving the original script.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- internationalization, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100