Rui0828/Learning-From-Mistakes-Prompting
LoResMT@ACL 2024: Learning-From-Mistakes Prompting for Indigenous Language Translation – A feedback-driven approach to enhance low-resource translation.
This tool helps researchers and linguists improve machine translation quality for languages with very limited digital resources. By feeding in text in an indigenous language and a high-resource language like English, it produces more accurate translations. The primary users are computational linguists, language preservationists, and researchers focused on low-resource language technologies.
No commits in the last 6 months.
Use this if you need to translate between a widely spoken language (like English) and an indigenous or under-resourced language, and you have some existing parallel text data, even if it's minimal.
Not ideal if you're looking for an off-the-shelf translation service for widely supported languages, or if you don't have any parallel data for your low-resource language.
Stars
5
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Language
Python
License
Apache-2.0
Category
Last pushed
Dec 06, 2024
Commits (30d)
0
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