How does Welsh Text Summarizer work?
- Extractive Summarization. This method identifies and extracts key sentences from the original text to create a summary that retains the main ideas.
- Abstractive Summarization. Abstractive summarization involves generating new sentences that capture the essence of the original text, often leading to a more coherent summary.
- Language Modeling. This technique uses machine learning models trained on large datasets to understand and generate language patterns specific to Welsh text.
- Tokenization. Tokenization breaks the text into smaller units (tokens) which are analyzed to identify important phrases and concepts for summarization.
