GhanaNLP Parallel Corpora: Comprehensive Multilingual Resources for Low-Resource Ghanaian Languages

1. 1Identify low-resource languages and their limitations in NLP
2. 2Develop and curate parallel sentence pairs for these languages
3. 3Align and structure the linguistic data for better accessibility
4. 4Utilize the corpora for training machine learning models and improving language understanding

NLP researchers and developers working with low-resource languages can benefit from this resource to improve language models and applications, while data scientists and AI engineers can utilize these corpora for machine learning model training

💡 The development of comprehensive multilingual resources can help bridge the gap in NLP for low-resource languages

🌍 GhanaNLP develops 41,513 parallel sentence pairs for 5 underrepresented Ghanaian languages! 🤖