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This paper presents a dictionary writing system developed at the Institute for the German Language in Mannheim (IDS) for an ongoing international lexicographical project that traces the way of German loanwords in the East Slavic languages Russian, Belarusian and Ukrainian that were possibly borrowed via Polish. The results will be published in the Lehnwortportal Deutsch (LWP, lwp.ids-mannheim.de), a web portal for loanword dictionaries with German as the common donor language. The system described here is currently in use for excerpting data from a large range of historical and contemporary East Slavic monolingual dictionaries. The paper focuses on the tools that help in merging excerpts that are etymologically related to one and the same Polish etymon. The merging process involves eliminating redundancies and inconsistencies and, above all, mapping word senses of excerpted entries onto a common cross-language set of ‘metasenses’. This mapping may involve literally hundreds of excerpted East Slavic word senses, including quotations, for one ‘underlying’ Polish etymon.
vernetziko is an assistive software tool primarily designed for managing cross-references in XML-based electronic dictionaries. In its current form it has been developed as an integral part of the lexicographic editing environment for the German monolingual dictionary elexiko developed and compiled at the Institut für Deutsche Sprache, Mannheim. This paper first briefly outlines how vernetziko fits into the XML-based dictionary editing technology of elexiko. Then vernetziko’s core functionality and some of the auxiliary tools integrated into the program are presented from both a practical and a technological point of view. The concluding sections discuss some software engineering aspects of extending the tool to handle cross-references between multiple resources and point out some of the advantages of vernetziko vis-à-vis corresponding features of proprietary dictionary writing systems. The software can be adapted to interconnect off-the-shelf components (database management systems and editors), thus providing a tailor-made lexicographical workbench for a wide range of XML-based dictionaries without vendor lock-in.