How does Kinyarwanda Text Summarizer work?
- Extractive Summarization. This method identifies and selects important sentences from the original text to create a coherent summary.
- Abstractive Summarization. This approach generates new sentences that convey the main ideas, rather than simply extracting sentences from the source.
- Natural Language Processing (NLP). NLP techniques are employed to analyze language patterning, semantics, and structure in Kinyarwanda text for better understanding.
- Machine Learning Algorithms. Machine learning models are trained on Kinyarwanda texts to improve summarization accuracy and contextual relevance over time.