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Das Handbuch Europäische Sprachkritik Online liefert eine vergleichende Perspektive auf Sprachkritik in europäischen Sprachkulturen (im Speziellen auf die Sprachkritik im Deutschen, Englischen, Französischen, Italienischen und Kroatischen). In dem Handbuch werden zentrale Konzepte der Sprachkritik deskriptiv behandelt. Das Ziel ist demnach, eine Konzeptgeschichte der europäischen Sprachkritik zu präsentieren. Zum einen liefert das Handbuch einen spezifischen Blick auf die jeweiligen Sprachkulturen. Zum anderen werden diese vergleichend in den Blick genommen. Das multilinguale Handbuch erscheint periodisch in Bänden.
Nach Bemerkungen zur Abgrenzung des Gegenstandes und einem kurzen Forschungsbericht zur Entwicklung der gesprächsanalytischen Forschung zu Beratung und verwandten Flandlungssituationen wird die gesprächsanalytische Vorgehensweise an einem einfachen Fallbeispiel demonstriert (Kap. 2) mit dem Ziel, das Erkenntnispotential bei der Aufdeckung von Handlungsstrukturen im Gespräch und damit verknüpfter inhärenter Probleme der Gesprächsführung zu verdeutlichen. Vor dem Hintergrund der ersten Verlaufsanalyse werden dann Kernstrukturen des Beratens systematisch dargestellt, insbesondere das Handlungsschema Beraten und die strukturellen Vorgaben für die sequenzielle Durchführung (Kap. 3). Schließlich werden ausgewählte Strategien des Gesprächshandelns von Ratsuchenden und Ratgebern dargestellt, mit denen diese versuchen, ihre Perspektive zur Geltung zu bringen, und die mit den Zielsetzungen und dem Rollenverständnis der Akteure, ihrem Selbstverständnis als Handelnde und ihrem Umgang mit spezifischen inhärenten Problemen des Beratungshandeln Zusammenhängen (Kap. 4). Als Materialgrundlage wird ein gemischtes Korpus von Beratungsgesprächen aus privaten und unterschiedlichen institutioneilen Kontexten benutzt (u.a. Studienberatung, ärztliche Beratung, kommunale Mieterberatung).
The paper reports on the results of a scientific colloquium dedicated to the creation of standards and best practices which are needed to facilitate the integration of language resources for CMC stemming from different origins and the linguistic analysis of CMC phenomena in different languages and genres. The key issue to be solved is that of interoperability – with respect to the structural representation of CMC genres, linguistic annotations metadata, and anonymization/pseudonymization schemas. The objective of the paper is to convince more projects to partake in a discussion about standards for CMC corpora and for the creation of a CMC corpus infrastructure across languages and genres. In view of the broad range of corpus projects which are currently underway all over Europe, there is a great window of opportunity for the creation of standards in a bottom-up approach.
As a consequence of a recent curation project, the Dortmund Chat Corpus is available in CLARIN-D research infrastructures for download and querying. In a legal expertise it had been recommended that standard measures of anonymisation be applied to the corpus before its republication. This paper reports about the anonymisation campaign that was conducted for the corpus. Anonymisation has been realised as categorisation, and the taxonomy of anonymisation categories applied is introduced and the method of applying it to the TEI files is demonstrated. The results of the anonymisation campaign as well as issues of quality assessment are discussed. Finally, pseudonymisation as an alternative to categorisation as a method of the anonymisation of CMC data is discussed, as well as possibilities of an automatisation of the process.
The paper presents best practices and results from projects dedicated to the creation of corpora of computer-mediated communication and social media interactions (CMC) from four different countries. Even though there are still many open issues related to building and annotating corpora of this type, there already exists a range of tested solutions which may serve as a starting point for a comprehensive discussion on how future standards for CMC corpora could (and should) be shaped like.
Lexicographic meaning descriptions of German lexical items which are formally and semantically similar and therefore easily confused (so-called paronyms) often do not reflect their current usage of lexical items. They can even contradict one’s personal intuition or disagree with lexical usage as observed in public discourse. The reasons are manifold. Language data used for compiling dictionaries is either outdated, or lexicographic practice is rather conventional and does not take advantage of corpus-assisted approaches to semantic analysis. Despite of various modern electronic or online reference works speakers face uncertainties when dealing with easily confusable words. These are for example sensibel/sensitiv (sensitive) or kindisch/kindlich (childish/childlike). Existing dictionaries often do not provide satisfactory answers as to how to use these sets correctly. Numerous questions addressed in online forums show where uncertainties with paronyms are and why users demand further assistance concerning proper contextual usage (cf. Storjohann 2015). There are different reasons why users misuse certain items or mix up words which are similar in form and meaning. As data from written and more spontaneous language resources suggest, some confusions arise due to ongoing semantic change in the current use of some paronyms. This paper identifies shortcomings of contemporary German Dictionaries and discusses innovative ways of empirical lexicographic work that might pave the way for a new data-driven, descriptive reference work of confusable German terms. Currently, such a guide is being developed at the Institute for German Language in Mannheim implementing corpora and diverse corpus-analytical methods. Its objective is to compile a dictionary with contrastive entries which is a useful reference tool in situation of language doubt. At the same time, it aims at sensitizing users of context dependency and language change.
Catching the common cause: extraction and annotation of causal relations and their participants
(2017)
In this paper, we present a simple, yet effective method for the automatic identification and extraction of causal relations from text, based on a large English-German parallel corpus. The goal of this effort is to create a lexical resource for German causal relations. The resource will consist of a lexicon that describes constructions that trigger causality as well as the participants of the causal event, and will be augmented by a corpus with annotated instances for each entry, that can be used as training data to develop a system for automatic classification of causal relations. Focusing on verbs, our method harvested a set of 100 different lexical triggers of causality, including support verb constructions. At the moment, our corpus includes over 1,000 annotated instances. The lexicon and the annotated data will be made available to the research community.
Feedback utterances are among the most frequent in dialogue. Feedback is also a crucial aspect of linguistic theories that take social interaction, involving language, into account. This paper introduces the corpora and datasets of a project scrutinizing this kind of feedback utterances in French. We present the genesis of the corpora (for a total of about 16 hours of transcribed and phone force-aligned speech) involved in the project. We introduce the resulting datasets and discuss how they are being used in on-going work with focus on the form-function relationship of conversational feedback. All the corpora created and the datasets produced in the framework of this project will be made available for research purposes.
This paper presents a short insight into a new project at the "Institute for the German Language” (IDS) (Mannheim). It gives an insight into some basic ideas for a corpus-based dictionary of spoken German, which will be developed and compiled by the new project "The Lexicon of spoken German” (Lexik des gesprochenen Deutsch, LeGeDe). The work is based on the "Research and Teaching Corpus of Spoken German” (Forschungs- und Lehrkorpus Gesprochenes Deutsch, FOLK), which is implemented in the "Database for Spoken German” (Datenbank für Gesprochenes Deutsch, DGD). Both resources, the database and the corpus, have been developed at the IDS.