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Chapter 9. BEYTrans 141lators to check the evolution of a translation and avoid losing content. Translatorscan easily restore old translations deleted erroneously or by vandals.Within this context, it was a natural decision for us to use Wiki as the basisof BEYTrans. After analysing several Wiki implementations and Translationwiki,and experimenting with some of the available Wikis, we chose XWiki for developingour system (XWiki 2007). It is a Java-based environment which allows easyintegration of existing Java tools for NLP processing.5. Language resources managementIn our environment, the language resources and TMs are pre-processed and manageddifferently. What we understand under language resources (dictionaries, glossaries,technical terminologies, etc.) are imported as raw textual data and transformedinto a structured format. In our work to date, we have imported morethan 1.7 million entries in Arabic, English, French, and Japanese in XML format.To be useful, a TM (a set of textual translation units extracted from existing translateddocuments or during translation) has to match the typology and domain ofthe documents to be translated. Hence, each translation community has to use itsownTM.Aswecouldnotfindanyready-to-useTMsinsuchcommunities,wecreated a small TM from existing documents translated by the W3C community.In the following sub-sections, the language resources will be described and theXLD (XML Language Data) format will be introduced. Our management of TMin BEYTrans will also be clearly explained with reference to TMX-C, which hasbeen adapted from the TMX standard (LISA 2007). The description in this sectionis slightly technical, because at this level the actual treatment of resources and thetechnical aspects that support them are inseparable.5.1 Language resourcesExisting language resources that we have imported to the structure and that are inactual use include “Eijiro” and “Grand Concise”, two high-quality English-Japaneseunidirectional dictionaries widely used by many translators, “Nichigai”, which coversproper names, “Medical Scientific Terms”, a medical dictionary included toallow us to check the structure of terminological dictionaries (Bey et al. 2006a),and “Edict”, a free Japanese-English dictionary (Table 1).As our environment is open to all languages, it allows for the importation ofother dictionaries, subject to two restrictions: (i) the dictionary must be structuredin XLD; (ii) its data must be encoded in UTF-8. For example, the ArabicMozilla (Arabic Mozilla 2007) translation community has a free dictionary created