How does Kannada Text Summarizer work?
- Extractive Summarization. This method identifies and extracts the most important sentences from the original text, preserving the meaning while reducing length.
- Abstractive Summarization. Unlike extractive summarization, this method generates new sentences that convey the main ideas, providing more coherent and human-like summaries.
- Natural Language Processing (NLP). NLP techniques are used to understand the structure and meaning of the Kannada language, enabling the tool to process texts more effectively.
- Machine Learning Algorithms. These algorithms learn from vast amounts of data to improve summarization accuracy, adapting to different styles of Kannada writing.
