How does Yiddish Text Summarizer work?
- Extraction-based Summarization. This method identifies and extracts key sentences or phrases from the original text to form a concise summary.
- Abstractive Summarization. Abstractive summarization generates new sentences to convey the main ideas, rather than solely relying on the original text.
- Machine Learning Techniques. Advanced machine learning models, like neural networks, are employed to enhance the summarization quality by learning patterns in the text.
- Natural Language Processing (NLP). NLP techniques analyze the syntax and semantics of Yiddish text to improve understanding and relevancy in summarization.
