| 摘要 |
The method enables the sentence-based automatic summarization of a text on a computer. For this purpose, subject-related lexica are used that provide a relevance measure for each word contained therein. Each sentence of the text to be summarized is processed word-by-word, and for each word an individual word frequency, weighted with the relevance measure, is cumulated. For the summarization, the n sentences having the greatest probability that they belong to the summary are assembled, whereby n is a predeterminable reduction measure.
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