How does Malagasy Text Summarizer work?
- Extractive Summarization. This method identifies and extracts key sentences from the original text to create a summary without altering the original wording.
- Abstractive Summarization. This technique involves generating new sentences that capture the essence of the original text, allowing for paraphrasing while maintaining the core message.
- Natural Language Processing (NLP). NLP techniques are utilized to analyze the structure and meaning of the Malagasy language, aiding in more accurate text summarization.
- Machine Learning Algorithms. Advanced machine learning models are employed to improve the accuracy and relevance of the summaries generated from Malagasy texts.