How does Esperanto Text Summarizer work?
- Natural Language Processing (NLP). NLP techniques are used to understand and interpret the context, meaning, and relationships within the text, allowing for more accurate summarization.
- Extraction-based Summarization. This method identifies and selects key sentences from the original text based on their importance and relevance.
- Abstractive Summarization. Abstractive techniques generate new sentences that summarize the input text, capturing its essence in a more succinct form.
- Machine Learning Algorithms. These algorithms learn from vast datasets to improve summarization accuracy and adapt to different writing styles in Esperanto.
