A Web Service Enabling Gradable Post-edition of Pre-translations Produced by Existing Translation Tools: Practical Use to Provide Highquality Translation of an Online Encyclopedia

SECTra_w is a Web-based system offering several services, such as supporting MT evaluation campaigns and online post-editing of MT results, to produce reference transla-tions adapted to classical MT systems not built by machine learning from a parallel cor-pus. The service we are interested in here is the possibility for its users to import a docu-ment, or a set of documents (not only a list of preprocessed segments), and achieve high-quality translation by applying on-line human post-edition to results of Machine Translation systems. A community of contributing post-editors may carry out the on-line human post-edition. In this paper, we describe the use of SECTra_w to translate into French a set of 25 html documents (about 220,000 words) on water and ecology from the on-line Encyclo-pedia of Life Support Systems1 (EOLSS) us-ing a contributive on-line human post-edition framework.