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This report describes the MUDOS-NG summarization system, which applies a setof language-independent and generic methods for generating extractivesummaries. The proposed methods are mostly combinations of simple operators ona generic character n-gram graph representation of texts. This work defines theset of used operators upon n-gram graphs and proposes using these operatorswithin the multi-document summarization process in such subtasks as documentanalysis, salient sentence selection, query expansion and redundancy control.Furthermore, a novel chunking methodology is used, together with a novel way toassign concepts to sentences for query expansion. The experimental results ofthe summarization system, performed upon widely used corpora from the DocumentUnderstanding and the Text Analysis Conferences, are promising and provideevidence for the potential of the generic methods introduced. This work aims todesignate core methods exploiting the n-gram graph representation, providingthe basis for more advanced summarization systems.

MUDOS-NG: Multi-document Summaries Using N-gram Graphs (Tech Report)