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Es werden deutschsprachige Elemente in zwei russischsprachigen Zeitungen analysiert, die in Deutschland erscheinen und sich an russischsprachige Zuwanderer richten. Es handelt sich um die Wochenzeitung „Russkaja Germanija“ (‚Russisches Deutschland’), die für die unterschiedlichen russischsprachigen Leser in Deutschland gedacht ist, sowie um die monatlich erscheinende, für russlanddeutsche Aussiedler verfasste Zeitung „Zemljaki“ (‚Landsleute’). Untersucht werden lexikalische Entlehnungen und Übernahmen, unterschiedliche Verfahren ihrer Integration in den russischsprachigen Kontext und die charakteristische deutsch-russische Gestaltung des Impressums der beiden Zeitungen.
Grammis is a web-based information system on German grammar, hosted by the Institute for the German Language (IDS). It is human-oriented and features different theoretical perspectives on grammar. Currently, the terminology component of grammis is being redesigned for this theoretical diversity to play a more prominent role in the data model. This also opens opportunities for implementing some machine-oriented features. In this paper, we present the re-design of both data model and knowledge base. We explore how the addition of machine-oriented features to the data model impacts the knowledge base; in particular, how this addition shifts some of the textual complexity into the data model. We show that our resource can easily be ported to a SKOS-XL representation, which makes it available for data science, knowledge-based NLP applications, and LOD in the context of digital humanities.
In this contribution, we discuss and compare alternative options of modelling the entities and relations of wordnet-like resources in the Web Ontology Language OWL. Based on different modelling options, we developed three models of representing wordnets in OWL, i.e. the instance model, the dass model, and the metaclass model. These OWL models mainly differ with respect to the ontological Status of lexical units (word senses) and the synsets. While in the instance model lexical units and synsets are represented as individuals, in the dass model they are represented as classes; both model types can be encoded in the dialect OWL DL. As a third alternative, we developed a metaclass model in OWL FULL, in which lexical units and synsets are defined as metaclasses, the individuals of which are classes themselves. We apply the three OWL models to each of three wordnet-style resources: (1) a subset of the German wordnet GermaNet, (2) the wordnet-style domain ontology TermNet, and (3) GermaTermNet, in which TermNet technical terms and GermaNet synsets are connected by means of a set of “plug-in” relations. We report on the results of several experiments in which we evaluated the performance of querying and processing these different models: (1) A comparison of all three OWL models (dass, instance, and metaclass model) of TermNet in the context of automatic text-to-hypertext conversion, (2) an investigation of the potential of the GermaTermNet resource by the example of a wordnet-based semantic relatedness calculation.
O presente trabalho discute a classificação dos substantivos e/ou sintagmas nominais em contáveis e não-contáveis no alemão e no português do Brasil. Propomos um modelo de estrutura, válido para ambas as línguas, em que a contabilidade é construída composicionalmente em nível do sintagma nominal, mediante três traços sintático-semânticos: [±individuado], [±incrementado] e [±delimitado]. O valor do primeiro traço é fixado pelo quantificador, o do segundo, pelo número e o do terceiro, pelo substantivo. Na língua alemã, os três traços contribuem para a constituição da contabilidade, sendo o terceiro o traço menos importante. No português brasileiro apenas os dois primeiros mostram-se produtivos, enquanto o terceiro é irrelevante. Isso corresponde a dizer que não se distinguem substantivos contáveis e não-contáveis no léxico do português brasileiro. Para ambos os idiomas, as propostas são ilustradas com exemplos autênticos de uso.