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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.
In the management of cooperation, the fit of a requested action with what the addressee is presently doing is a pervasively relevant consideration. We present evidence that imperative turns are adapted to, and reflexively create, contexts in which the other person is committed to the course of action advanced by the imperative. This evidence comes from systematic variation in the design of imperative turns, relative to the fittedness of the imperatively mandated action to the addressee’s ongoing trajectory of actions, what we call the “dine of commitment”. We present four points on this dine: Responsive imperatives perform an operation on the deontic dimension of what the addressee has announced or already begun to do (in particular its permissibility); local-project imperatives formulate a new action advancing a course of action in which the addressee is already actively engaged; global-project-imperatives target a next task for which the addressee is available on the grounds of their participation in the overall event, and in the absence of any competing work; and competitive imperatives draw on a presently otherwise engaged addressee on the grounds of their social commitment to the relevant course of actions. These four turn shapes are increasingly complex, reflecting the interactional work required to bridge the increasing distance between what the addressee is currently doing, and what the imperative mandates. We present data from German and Polish informal and institutional settings.
In this paper we present an evaluation of rule-based morphological components for German for use in an interactive editing environment. The criteria for the evaluation are deduced from the intended use of these components, namely availability, performance, programming interfaces, and analysis quality. We evaluated systems developed and maintained since decades as well as new systems. However, we note serious general shortcomings when looking closer at recent implementations and come to the conclusion that the oldest system is the only one that satisfies our requirements.
The English language has taken advantage of the Digital Revolution to establish itself as the global language; however, only 28.6 %of Internet users speak English as their native language. Machine Trans-lation (MT) is a powerful technology that can bridge this gap. In devel-opment since the mid-20th century, MT has become available to every Internet user in the last decade, due to free online MT services. This paper aims to discuss the implications that these tools may have for the privacy of their users and how they are addressed by EU data protec-tion law. It examines the data-flows in respect of the initial processing (both from the perspective of the user and the MT service provider) and potential further processing that may be undertaken by the MT service provider.
The paper presents the results of a joint effort of a group of multimodality researchers and tool developers to improve the interoperability between several tools used for the annotation and analysis of multimodality. Each of the tools has specific strengths so that a variety of different tools, working on the same data, can be desirable for project work. However this usually requires tedious conversion between formats. We propose a common exchange format for multimodal annotation, based on the annotation graph (AG) formalism, which is supported by import and export routines in the respective tools. In the current version of this format the common denominator information can be reliably exchanged between the tools, and additional information can be stored in a standardized way.
Antonymy is a relation of lexical opposition which is generally considered to involve (i) the presence of a scale along which a particular property may be graded, and hence both (ii) gradability of the corresponding lexical items and (iii) typical entailment relations. Like other types of lexical opposites, antonyms typically differ only minimally: while denoting opposing poles on the relevant dimension of difference, they are similar with respect to other components of meaning. This paper presents examples of antonymy from the domain of speech act verbs which either lack some of these typical attributes or show problems in the application of these. It discusses several different proposals for the classification of these atypical examples.
The ubiquity of smartphones has been recognised within conversation analysis as having an impact on conversational structures and on the participants’ interactional involvement. However, most of the previous studies have relied exclusively on video recordings of overall encounters and have not systematically considered what is taking place on the device. Due to the personal nature of smartphones and their small displays, onscreen activities are of limited visibility and are thus potentially opaque for both the co-present participants (“participant opacity”) and the researchers (“analytical opacity”). While opacity can be an inherent feature of smartphones in general, analytical opacity might not be desirable for research purposes. This chapter discusses how a recording set-up consisting of static cameras, wearable cameras and dynamic screen captures allowed us to address the analytical opacity of mobile devices. Excerpts from multi-source video data of everyday encounters will illustrate how the combination of multiple perspectives can increase the visibility of interactional phenomena, reveal new analytical objects and improve analytical granularity. More specifically, these examples will emphasise the analytical advantages and challenges of a combined recording set-up with regard to smartphone use as multiactivity, the role of the affordances of the mobile device, and the prototypicality and “naturalness” of the recorded practices.
Content analysis provides a useful and multifaceted, methodological framework for Twitter analysis. CAQDAS tools support the structuring of textual data by enabling categorising and coding. Depending on the research objective, it may be appropriate to choose a mixed-methods approach that combines quantitative and qualitative elements of analysis and plays out their respective advantages to the greatest possible extent while minimising their shortcomings. In this chapter, we will discuss CAQDAS speech act analysis of tweets as an example of software-assisted content analysis. We start with some elementary thoughts on the challenges of the collection and evaluation of Twitter data before we give a brief description of the potentials and limitations of using the software QDA Miner (as one typical example for possible analysis programmes). Our focus will lie on analytical features that can be particularly helpful in speech act analysis of tweets.