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Document normalization is an interactive process that transforms raw legacy documents into semantically well-formed and linguistically controlled documents with the same communicative intention content. A paradigm for content analysis has been implemented to select candidate semantic representations of the communicative content of an input document. This implementation reuses the formal content specification of a multilingual controlled authoring system. As a consequence, a candidate semantic representation can not only be associated with a text in the language of the input document, but also in all the languages supported by the system. This paper presents how multilingual versions of an input legacy document can be obtained interactively with a proposed implementation, and discusses the advantages and limitations of this kind of normalizing translation.

Multi-language machine translation through interactive document normalization