We describe the porting of the English language REZIME text summarizer to the French language. REZIME
is a single-document summarizer particularly focused on summarization of medical documents. Summaries are
created by extracting key sentences from the original document. The sentence selection employs machine learning techniques,
using statistical, syntactic and lexical features which are computed based on specialized language resources. The
REZIME system was initially developed for English documents.In this paper we present the summarizer architecture, and
describe the steps required to adapt it to the French language. The summarizer performance is evaluated for English and
French datasets. Results show that the adaptation to French results in a system performance comparable to English
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