How does Kazakh Text Summarizer work?
- Extractive Summarization. This method identifies and extracts key sentences from the text, preserving the context and main ideas.
- Abstractive Summarization. This approach generates new sentences that encapsulate the main ideas, often rephrasing the original content.
- Natural Language Processing. Utilizes algorithms to comprehend the structure and meaning of the Kazakh language, enabling effective summarization.
- Machine Learning. Employs training models to improve the accuracy of summarization by learning from large datasets of Kazakh texts.
