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Die Erforschung von Sprache im öffentlichen Raum (Linguistic Landscapes, LL) hat sich in den vergangen 20 Jahren als Teilgebiet der Soziolinguistik, der Semiotik und anderer Disziplinen fest etabliert. Der vorliegende Band gibt einen Überblick zu zentralen Ansätzen der LL-Forschung mit einem Bezug zur deutschen Sprache. Die Beiträge stellen aktuelle Studien aus dem deutschsprachigen Raum, zu Deutsch als Minderheitensprache sowie aus Ländern mit einer ausgeprägten DaF-Tradition vor. Sie thematisieren sprachstrukturelle und soziolinguistische ebenso wie didaktische, methodische und technologische Aspekte. Damit trägt der Band zu einer Systematisierung der deutschsprachigen LL-Forschung bei, gibt Impulse für internationale Diskussionen und benennt wichtige Desiderata.
We present a method to identify and document a phenomenon on which there is very little empirical data: German phrasal compounds occurring in the form of as a single token (without punctuation between their components). Relying on linguistic criteria, our approach implies to have an operational notion of compounds which can be systematically applied as well as (web) corpora which are large and diverse enough to contain rarely seen phenomena. The method is based on word segmentation and morphological analysis, it takes advantage of a data-driven learning process. Our results show that coarse-grained identification of phrasal compounds is best performed with empirical data, whereas fine-grained detection could be improved with a combination of rule-based and frequency-based word lists. Along with the characteristics of web texts, the orthographic realizations seem to be linked to the degree of expressivity.
In this paper, an exploratory data-driven method is presented that extracts word-types from diachronic corpora that have undergone the most pronounced change in frequency of occurrence in a given period of time. Combined with statistical methods from time series analysis, the method is able to find meaningful patterns and relationships in diachronic corpora, an idea that is still uncommon in linguistics. This indicates that the approach can facilitate an improved understanding of diachronic processes.
This paper introduces a method for computer-based analyses of metaphor in discourse, combining quantitative and qualitative elements. This method is illustrated with data from research on German newspaper discourse concerning the ongoing system transformations of the late 1980s and early 1990s. Methodological aspects of the research procedure are discussed and it is argued that quantitative elements can enhance comparability in cross-cultural and cross-lingual research. Some basic findings of the research are presented. The peculiarities of the German Wende discourse - especially the salience of a passive perspective on the ongoing political and social changes - are outlined.
The paper presents practices in the compilation of FOLK, the Research and Teaching Corpus of Spoken German, a large collection of spontaneous verbal interaction from diverse discourse domains. After introducing the aims and organisational circumstances of the construction of FOLK, the general idea discussed is that good practices cannot be developed without considering methodological, technological and organisational aspects on equal footing. Starting from this idea, this paper inspects more closely some actual practices in FOLK, namely the handling of legal (especially privacy protection) issues, the decisions taken for the transcription and annotation workflow, and the question of how to best disseminate a corpus like FOLK. The final section sketches some possible future improvements for practices in FOLK.
Names in competition: A corpus-based quantitative investigation into the use of colonial place names
(2016)
Referentially equivalent toponyms occur very often in colonial and postcolonial contexts. These names are in competition, and this competition is reflected in language use and in changing frequencies of use in large corpora. The main theoretical and methodological assumption of this paper is that corpus frequencies of referentially equivalent toponyms change according to particular patterns, and that the Google Ngram Corpora and Google Ngram Viewers can be used to detect these patterns. The aims of this paper are twofold: firstly, a corpus-linguistic method for investigations into the use of names will be presented, applied, and critically evaluated; secondly, it will be shown that the correlation between patterns of frequency changes and patterns of socio-historical colonial and postcolonial events gives rise to cross-linguistic generalizations, for example, that an increase in public interest in a place strongly promotes one of the referenlially equivalent names, or that in renaming scenarios colonial toponyms in relation to new toponyms remain in stronger use in the language of the former colonial power than in languages of other colonial powers.
This paper presents some results from an online survey regarding the functions and presentation of lexicographically compiled and automatically compiled corpus citations in a general monolingual e-dictionary of German (elexico). Our findings suggest that dictionary users have a clear understanding of the functions of corpus citations in lexicography.
Natural language Processing tools are mostly developed for and optimized on newspaper texts, and often Show a substantial performance drop when applied to other types of texts such as Twitter feeds, Chat data or Internet forum posts. We explore a range of easy-to-implement methods of adapting existing part-of-speech taggers to improve their performance on Internet texts. Our results show that these methods can improve tagger performance substantially.