Sprache im 20. Jahrhundert. Gegenwartssprache
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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.
Our paper deals with the use of ICH WEIß NICHT (‘I don’t know’) in German talk-in-interaction. Pursuing an Interactional Linguistics approach, we identify different interactional uses of ICH WEIß NICHT and discuss their relationship to variation in argument structure (SV (O), (O)VS, V-only). After ICH WEIß NICHT with full complementation, speakers emphasize their lack of knowledge or display reluctance to answer. In contrast, after variants without an object complement, in contrast, speakers display uncertainty about the truth of the following proposition or about its sufficiency as an answer. Thus, while uses with both subject and object tend to close a sequence or display lack of knowledge, responses without an object, in contrast, function as a prepositioned epistemic hedge or a pragmatic marker framing the following TCU. When ICH WEIß NICHT is used in response to a statement, it indexes disagreement (independently from all complementation patterns).
This paper is concerned with a novel methodology for generating phonetic questions used in tree-based state tying for speech recognition. In order to implement a speech recognition system, language-dependent knowledge which goes beyond annotated material is usually required. The approach presented here generates phonetic questions for decision trees are based on a feature table that summarizes the articulatory characteristics of each sound. On the one hand, this method allows better language-specific triphone models to be defined given only a feature-table as linguistic input. On the other hand, the feature-table approach facilitates efficient definition of triphone models for other languages since again only a feature table for this language is required. The approach is exemplified with speech recognition systems for English and Thai.
Within cognitive linguistics, there is an increasing awareness that the study of linguistic phenomena needs to be grounded in usage. Ideally, research in cognitive linguistics should be based on authentic language use, its results should be replicable, and its claims falsifiable. Consequently, more and more studies now turn to corpora as a source of data. While corpus-based methodologies have increased in sophistication, the use of corpus data is also associated with a number of unresolved problems. The study of cognition through off-line linguistic data is, arguably, indirect, even if such data fulfils desirable qualities such as being natural, representative and plentiful. Several topics in this context stand out as particularly pressing issues. This discussion note addresses (1) converging evidence from corpora and experimentation, (2) whether corpora mirror psychological reality, (3) the theoretical value of corpus linguistic studies of ‘alternations’, (4) the relation of corpus linguistics and grammaticality judgments, and, lastly, (5) the nature of explanations in cognitive corpus linguistics. We do not claim to resolve these issues nor to cover all possible angles; instead, we strongly encourage reactions and further discussion.
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.
One major issue in the accomplishment of contrasts in conversation is lexical choice of items which carry the semantic Ioad of the two states of affair which are represented as being opposed to one another. These items or expressions are co-selected to be understood as being contrastively related to each other. In this paper, it is argued that the activity of contrasting itself provides them with a specific local opposite meaning which they would not obtain in other contexts. Practices of contrastingare thus seen as an example of conversational activities which creatively and systematically affect situated meanings. Basedon data from various genres, such as meetings, mediation sessions and conversations, the paper discusses two practices of contrasting, their sequential construction and their interpretative effects. It is concluded that the interpretative effects of conversational contrasting rest on the sequential deployment oflinguistic resources and on the cognitive procedures of frame-based interpretation and constructing a maximally contrastive interpretation for the co-selected expressions.
In the context of the HyTex project, our goal is to convert a corpus into a hypertext, basing conversion strategies on annotations which explicitly mark up the text-grammatical structures and relations between text segments. Domain-specific knowledge is represented in the form of a knowledge net, using topic maps. We use XML as an interchange format. In this paper, we focus on a declarative rule language designed to express conversion strategies in terms of text-grammatical structures and hypertext results. The strategies can be formulated in a concise formal syntax which is independend of the markup, and which can be transformed automatically into executable program code.