How does Luxembourgish Text Summarizer work?
- Natural Language Processing (NLP). This technique allows the summarizer to understand the structure and semantics of Luxembourgish language to extract meaningful information.
- Text Ranking. Text Ranking identifies and ranks the most important sentences in a document based on various metrics to create a concise summary.
- Machine Learning. Machine learning algorithms are trained on large datasets to improve the summarization process and accurately reflect the content's essence.
- Abstractive Summarization. This method generates summaries that capture the main ideas by rephrasing and condensing information rather than merely extracting text.
