How does Belarusian Text Summarizer work?
- Natural Language Processing. This technique enables the summarizer to understand and analyze the grammatical structure and meaning of Belarusian sentences.
- Extractive Summarization. Extractive summarization identifies and extracts key sentences from the original text to create a coherent summary.
- Abstractive Summarization. This method generates new sentences that capture the main ideas of the text, rather than merely extracting portions of it.
- Machine Learning. Machine learning algorithms are used to improve the summarizer's accuracy by learning from vast datasets of Belarusian text.
