Un résumeur à base de graphes, indépéndant de la langue

In this paper we present REG, a graph-based approach for study a fundamental problem of Natural Language Processing (NLP): the automatic text summarization. The algorithm maps a document as a graph, then it computes the weight of their sentences. We have applied this approach to summarize documents in three languages. 8 pages, in French, 2 figures; International Workshop on African Human Language Technologies