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Germany's (single) national official language is German. The dominance of German in schools, politics, the legal system, administration and the entire written public domain is so great that for a long time the lack of a coherent language policy was not seen as a problem. State restraint in this area is due, on the one hand, to historical reasons; on the other hand, it has been promoted by the federal system in Germany, which grants the federal states far-reaching responsibilities in the fields of education and culture. More recently, multilingualism among the population has increased and has resulted in a growing interest in understanding the language situation in Germany and (in particular) taking a closer look at the different minority languages. In 2017, for the first time in about 80 years, there is a question on the language of the population in the German micro census. The Institute for the German Language has also carried out various representative surveys; in the winter of 2017/201, a large representative survey with questions on the language repertoire and language attitudes is in the field.
Who understands Low German today and who can speak it? Who makes use of media and cultural events in Low German? What images do people in northern Germany associate with Low German and what is their view of their regional language?
These and further questions are answered in this brochure with the help of representative data collected in a telephone survey of a total of 1,632 people from eight federal states (Bremen, Hamburg, Lower Saxony, Mecklenburg-West Pomerania and Schleswig-Holstein as well as Brandenburg, North Rhine-Westphalia and Saxony-Anhalt).
We present a method for detecting and reconstructing separated particle verbs in a corpus of spoken German by following an approach suggested for written language. Our study shows that the method can be applied successfully to spoken language, compares different ways of dealing with structures that are specific to spoken language corpora, analyses some remaining problems, and discusses ways of optimising precision or recall for the method. The outlook sketches some possibilities for further work in related areas.
In mid-2017, as part of our activities within the TEI Special Interest Group for Linguists (LingSIG), we submitted to the TEI Technical Council a proposal for a new attribute class that would gather attributes facilitating simple token-level linguistic annotation. With this proposal, we addressed community feedback complaining about the lack of a specific tagset for lightweight linguistic annotation within the TEI. Apart from @lemma and @lemmaRef, up till now TEI encoders could only resort to using the generic attribute @ana for inline linguistic annotation, or to the quite complex system of feature structures for robust linguistic annotation, the latter requiring relatively complex processing even for the most basic types of linguistic features. As a result, there now exists a small set of basic descriptive devices which have been made available at the cost of only very small changes to the TEI tagset. The merit of a predefined TEI tagset for lightweight linguistic annotation is the homogeneity of tagging and thus better interoperability of simple linguistic resources encoded in the TEI. The present paper introduces the new attributes, makes a case for one more addition, and presents the advantages of the new system over the legacy TEI solutions.
Response particles manage intersubjectivity. This conversation analytic study describes German eben (“exactly”). With eben, speaker A locally agrees with the immediately prior turn of B (the “confirmable”) and establishes a second indexical link: A relates B’s confirmable to a position A herself had already displayed (the “anchor”). Through claiming temporal priority, eben speakers treat a just-formulated position as self-evident and mark independence. Further evidence for the three-part structure “anchor-confirmable-eben” that eben sets in motion retrospectively comes from instances where eben speakers supply a missing/opaque anchor via a postpositioned display of independent access. Data are in German with English translation.
This paper investigates the conditions that govern the choice between the German neuter singular relative pronouns das ‘that’ and was ‘what’. We show that das requires a lexical head noun, while in all other cases was is usually the preferred option; therefore, the distribution of das and was is most successfully captured by an approach that does not treat was as an exception but analyzes it as the elsewhere case that applies when the relativizer fails to pick up a lexical gender feature from the head noun. We furthermore show how the non-uniform behavior of different types of nominalized adjectives (positives allow both options, while superlatives trigger was) can be attributed to semantic differences rooted in syntactic structure. In particular, we argue that superlatives select was due to the presence of a silent counterpart of the quantifier alles ‘all’ that is part of the superlative structure.
This study investigates the language used by six German Gangsta rappers to establish and maintain their identity and authenticity as rappers, in songs released between 2015 and 2016. Gangsta rap is a subgenre of Hip-Hop that emphasises ‘the rappers’ street credibility in texts describing tough [urban] neighbourhoods, violence, misogyny, and the achievement of material wealth’ (Bower 379). The culture of Gangsta rap attracts overwhelmingly negative mainstream media coverage (Muggs; Roper) and is often accused of corrupting ‘standard’ language (Krummheuer). The lyrical content of the songs is indeed controversial and has been previously covered by many academics (Byrd; Littlejohn and Putnam; Bower; Rollefson), as has the emergence of Hip-Hop in Germany (Elflein; Pennay; Nitzsche and Grünzweig).