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International audience; Fully automatic machine translation cannot produce high quality translation; Dialog-Based Machine Translation (DB-MT) is the only way to provide authors with a means of translating documents in languages they have not mastered, or do not even know. With such environment, the author must help the system to understand the document by means of an interactive disambiguation step. In this pa- per we study the consequences of integrating the DBMT services within a structured document editor (Amaya). The source document (named edited document) needs a compan- ion document enriched with dierent data produced during the interactive translation process (question trees, answers of the author, translations). The edited document also needs to be enriched (annotated) in order to enable access to the question trees. The enriched edited document and the com- panion document have to be synchronized in case the edited document is further updated.

Sources of XML documents are proliferating on the Web and documents are more and more frequently exchanged among sources. At the same time, there is an increasing need of exploiting database tools to manage this kind of data. An important novelty of XML is that information on document structures is available on the Web together with the document contents. However, in such an heterogeneous environment as the Web, it is not reasonable to assume that XML documents that enter a source always conform to a predefined DTD in the source. In this paper we address the problem of document classification by proposing a metric for quantifying the structural similarity between an XML document and a DTD. Based on such notion, we propose an approach to match a document entering a source against the set of DTDs available in the source, determining whether a DTD exists similar enough to the document.