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"Standard language" is a contested concept, ideologically, empirically and theoretically. This is particularly true for a language such as German, where the standardization of the spoken language was based on the written standard and was established with respect to a communicative situation, i.e. public speech on stage (Bühnenaussprache), which most speakers never come across. As a consequence, the norms of the oral standard exhibit many features which are infrequent in the everyday speech even of educated speakers. This paper discusses ways to arrive at a more realistic conception of (spoken) standard German, which will be termed "standard usage". It must be founded on empirical observations of speakers linguistic choices in everyday situations. Arguments in favor of a corpus-based notion of standard have to consider sociolinguistic, political, and didactic concerns. We report on the design of a large study of linguistic variation conducted at the Institute for the German Language (project "Variation in Spoken German", Variation des gesprochenen Deutsch) with the aim of arriving at a representative picture of "standard usage" in contemporary German. It systematically takes into account both diatopic variation covering the multi-national space in which German an official language, and diastratic variation in terms of varying degrees of formality. Results of the study of phonetic and morphosyntactic variation are discussed. At least for German, a corpus-based notion of "standard usage" inevitably includes some degree of pluralism concerning areal variation, and it needs to do justice to register-based variation as well.
With the advent of mobile devices, mediatized political discourse became more dynamic. I assume that the microblog Twitter can be considered as a medium for spatial coordination during protests. Therefore, the case of neo-Nazi demonstrations and counter-protests in the city of Dresden that occurred in February 2012 is analysed. Data consists of microposts that occurred during the event. Quantitative analysis of hashtag and retweet frequencies was performed as well as qualitative speech act pattern analysis and a tempo-spatial discourse analysis on selected subsets of microposts. Results show that a common linguistic practice is verbal georeferencing and by that constructing space. Empirical analysis indicates a strong relation between communicational online space and physical offline place: Protest participants permanently reconfigure spatial context discursively and thus the contested protest area becomes a temporarily meaningful place.
The understanding of story variation, whether motivated by cultural currents or other factors, is important for applications of formal models of narrative such as story generation or story retrieval. We present the first stage of an experiment to elicit natural narrative variation data suitable for evaluation with respect to story similarity, to qualitative and quantitative analysis of story variation, and also for data processing. We also present few preliminary results from the first stage of the experiment, using Red Riding Hood and Romeo and Juliet as base texts.
A tale of many stories: explaining policy diffusion between European higher education systems
(2013)
The thesis ”A Tale of Many Stories - Explaining Policy Diffusion between European Higher Education Systems" systematically examines diffusion processes and their effects with regard to a rather neglected policy area – the case of European higher education policy. The thesis contributes to the slowly growing number of comparative and mechanism-based studies on policy diffusion and represents the first study on the diffusion of policies between European Higher Education Systems. The main aim is to contrast and compare testable and coherent explanatory models on the functioning of different diffusion mechanisms. Three sets of explanatory models on the relationship between variables triggering and conditioning diffusion mechanisms and their impact on policy adoption are drawn from mechanism-based thinking on policy diffusion: on learning, socialization, and externalities. These approaches conceptualize the policy process in terms of interdependencies between international and national actors. Explanatory models based on assumptions about domestic policies and the common responses of countries to similar policy problems extend this theoretical framework. The thesis is based on event history modelling of policy change and adoption in higher education systems of 16 West European countries between the yeas 1980 and 1998. Overall 14 policy items describing performance-orientated reforms for public universities ranging from the adoption of external quality assurance systems to tuition fees are examined. Empirically, the main research question is what international, national and policy-specific factors cause and condition diffusion processes and the adoption of public policies? Evidence can be found for and against all of the four theoretical approaches tested. In comparison, many of the assumptions related to interdependencies lack robustness, whereas the common response model is the most stable one. This does not mean that explanatory models based on interdependent decision-making are not suitable for analysing policy diffusion in higher education. Rather interdependency is a multi- dimensional concept that requires a comparative assessment of diffusion mechanisms. Some of explanatory factors based on interdependent decision- making are still supported by the empirical analysis though. From this point of view, the recommendation for analysing diffusion is to start with a model based on domestic politics, that is successively extended by explanatory factors dealing with interdependencies between international and national actors. Diffusion variables matter – but it is only one side of the tale on policy diffusion.
The web portal Lehnwortportal Deutsch (lwp.ids-mannheim.de), developed at the Institute for the German Language (IDS), aims to provide unified access to existing and possibly new dictionaries of German loanwords in other languages. Internally, the lexicographical information is represented as a directed acyclic graph of relations between words. The graph abstracts from the idiosyncrasies of the individual component dictionaries. This paper explores two different strategies to make complex graph-based cross-dictionary queries in such a portal more accessible to users. The first strategy effectively hides the underlying graph structure, but allows users to assign scopes (internally defined in terms of the graph structure) to search criteria. A second type of search strategy directly formulates queries in terms of the relational graph structure. In this case, search results are not entries but n-tuples of words (metalemmata, loanwords, etyma); a query consists of specifying properties of these words and relations between them. A working prototype of an easy-to-use human-readable declarative query language is presented and ways to interactively construct queries are discussed.
Automatic recognition of speech, thought, and writing representation in German narrative texts
(2013)
This article presents the main results of a project, which explored ways to recognize and classify a narrative feature—speech, thought, and writing representation (ST&WR)—automatically, using surface information and methods of computational linguistics. The task was to detect and distinguish four types—direct, free indirect, indirect, and reported ST&WR—in a corpus of manually annotated German narrative texts. Rule-based as well as machine-learning methods were tested and compared. The results were best for recognizing direct ST&WR (best F1 score: 0.87), followed by indirect (0.71), reported (0.58), and finally free indirect ST&WR (0.40). The rule-based approach worked best for ST&WR types with clear patterns, like indirect and marked direct ST&WR, and often gave the most accurate results. Machine learning was most successful for types without clear indicators, like free indirect ST&WR, and proved more stable. When looking at the percentage of ST&WR in a text, the results of machine-learning methods always correlated best with the results of manual annotation. Creating a union or intersection of the results of the two approaches did not lead to striking improvements. A stricter definition of ST&WR, which excluded borderline cases, made the task harder and led to worse results for both approaches.
Benefactive construction
(2013)
In this article, we examine the effectiveness of bootstrapping supervised machine-learning polarity classifiers with the help of a domain-independent rule-based classifier that relies on a lexical resource, i.e., a polarity lexicon and a set of linguistic rules. The benefit of this method is that though no labeled training data are required, it allows a classifier to capture in-domain knowledge by training a supervised classifier with in-domain features, such as bag of words, on instances labeled by a rule-based classifier. Thus, this approach can be considered as a simple and effective method for domain adaptation. Among the list of components of this approach, we investigate how important the quality of the rule-based classifier is and what features are useful for the supervised classifier. In particular, the former addresses the issue in how far linguistic modeling is relevant for this task. We not only examine how this method performs under more difficult settings in which classes are not balanced and mixed reviews are included in the data set but also compare how this linguistically-driven method relates to state-of-the-art statistical domain adaptation.
Construction-based language models assume that grammar is meaningful and learnable from experience. Focusing on five of the most elementary argument structure constructions of English, a large-scale corpus study of child-directed speech (CDS) investigates exactly which meanings/functions are associated with these patterns in CDS, and whether they are indeed specially indicated to children by their caretakers (as suggested by previous research, cf. Goldberg, Casenhiser and Sethuraman 2004). Collostructional analysis (Stefanowitsch and Gries 2003) is employed to uncover significantly attracted verb-construction combinations, and attracted pairs are classified semantically in order to systematise the attested usage patterns of the target constructions. The results indicate that the structure of the input may aid learners in making the right generalisations about constructional usage patterns, but such scaffolding is not strictly necessary for construction learning: not all argument structure constructions are coherently semanticised to the same extent (in the sense that they designate a single schematic event type of the kind envisioned in Goldberg’s [1995] ‘scene encoding hypothesis’), and they also differ in the extent to which individual semantic subtypes predominate in learners’ input
Contexts of dictionary use
(2013)
To design effective electronic dictionaries, reliable empirical information on how dictionaries are actually being used is of great value for lexicographers. To my knowledge, no existing empirical research addresses the context of dictionary use, or the extra-lexicographic situations in which a dictionary consultation is embedded. This is mainly due to the fact that data about these contexts is difficult to obtain. To take a first step in closing this research gap, I incorporated an open-ended question (“In which contexts or situations would you use a dictionary?”) into the online survey (N = 684) and asked the participants to answer this question by providing as much information as possible. Instead of presenting well-known facts about standardized types of usage situation, this paper will focus on the more offbeat circumstances of dictionary use and aims of users, as they are reflected in the responses. Overall, the results indicate that there is a community whose work is closely linked with dictionaries and, accordingly, they deal very routinely with this type of text. Dictionaries are also seen as a linguistic treasure trove for games or crossword puzzles, and as a standard which can be referred to as an authority. While it is important to emphasize that the results are only preliminary, they do indicate the potential of empirical research in this area.