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This article explores how close one can come to a cultural-scientific perspective on the basis of a constitution-analytical methodology. We do this on the basis of a comparison of the celebration of Totensonntag in Zotzenbach (Southern Hesse) and Sarepta (Wolgograd). In both places, there are protestant churches that perform this ritual to commemorate the dead on this “Sunday of the Dead” as a part of their church service. Our scientific interest lies in the reconstruction of the rituality produced during the in situ execution. In both services, the names of the deceased are read out and a candle is lit for each deceased person. In Zotzenbach the priest reads out the names and an assistant ignites the candles for the deceased, whereas in Sarepta the bereaved are responsible for this. Since the ritual is organised in very different ways in terms of architecture-for-interaction (statically in Zotzenbach, spatially dynamic in Sarepta), we can reconstruct two completely different models of rituality: a demonstrative one (Zotzenbach) and a participative one (Sarepta). The demonstrative model works on the basis of a finely tuned coordination between the two church representatives and is aimed at a dignified execution. The model in Sarepta is not suitable for the production of formality due to its participatory structure. Here, however, the focus is also on the aspect of socialization, which goes beyond the church service and offers the Russian-German worshipers the opportunity to situationally constitute as a culturally homogeneous group.
This paper deals with the creation of the first morphological treebank for German by merging two pre-existing linguistic databases. The first of these is the linguistic database CELEX which is a standard resource for German morphology. We build on its refurbished and modernized version. The second resource is GermaNet, a lexical-semantic network which also provides partial markup for compounds. We describe the state of the art and the essential characteristics of both databases and our latest revisions. As the merging involves two data sources with distinct annotation schemes, the derivation of the morphological trees for the unified resource is not trivial. We discuss how we overcome problems with the data and format, in particular how we deal with overlaps and complementary scopes. The resulting database comprises about 100,000 trees whose format can be chosen according to the requirements of the application at hand. In our discussion, we show some future directions for morphological treebanks. The Perl script for the generation of the data from the sources will be made publicly available on our website.
In the NLP literature, adapting a parser to new text with properties different from the training data is commonly referred to as domain adaptation. In practice, however, the differences between texts from different sources often reflect a mixture of domain and genre properties, and it is by no means clear what impact each of those has on statistical parsing. In this paper, we investigate how differences between articles in a newspaper corpus relate to the concepts of genre and domain and how they influence parsing performance of a transition-based dependency parser. We do this by applying various similarity measures for data point selection and testing their adequacy for creating genre-aware parsing models.