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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.
Grammatische Strukturen verbinden Systeme des Denkens und Systeme des Sprechens und Zeigens, deren jeweilige Bedingungen kaum zueinander zu passen scheinen. Der Reparaturansatz betrachtet den regulären Umgang mit Übersetzungsproblemen innerhalb des grammatischen Systems und an seinen Schnittstellen als konstitutiv für Expressivität und Ökonomie der Sprache. Reparaturen sind produktive Wiedergutmachungs- und Anpassungsmechanismen, die linguistische Phänomene als Reflex der Kompensation für derivationelle oder interpretative Schäden erklären.
Based on German speaking data from various activity types, the range of multimodal resources used to construct turn-beginnings is reviewed. It is claimed that participants in talk-in-interaction need to deal with four tasks in order to construct a turn which precisely fits the interactional moment of its production:
1. Achieve joint orientation: The accomplishment of the socio-spatial prerequisites necessary for producing a turn which is to become part of the participants’ common ground.
2. Display uptake: Next speaker needs to display his/her understanding of the interaction so far as the backdrop on which the production of the upcoming turn is based.
3. Deal with projections from prior talk: The speaker has to deal with projections which have been established by (the) previous turn(s) with respect to the upcoming turn.
4. Project properties of turn-in-progress: The speaker needs to orient the recipient to properties of the turn s/he is about to produce.
Turn-design thus can be seen to be informed by tasks related to the multimodal, embodied, and interactive contingencies of online-construction of turns. The four tasks are ordered in terms of prior tasks providing the prerequisite for accomplishing a later task.
KoralQuery 0.3
(2015)
KoralQuery is a general corpus query protocol (i.e. independent of research tasks and corpus formats), serialized in JSON-LD [1]. KoralQuery focuses on simplicity of implementation rather than human readibility and writability. Support for a growing number of query languages is granted by the Koral serialization processor.
The newest generation of speech technology caused a huge increase of audio-visual data nowadays being enhanced with orthographic transcripts such as in automatic subtitling in online platforms. Research data centers and archives contain a range of new and historical data, which are currently only partially transcribed and therefore only partially accessible for systematic querying. Automatic Speech Recognition (ASR) is one option of making that data accessible. This paper tests the usability of a state-of-the-art ASR-System on a historical (from the 1960s), but regionally balanced corpus of spoken German, and a relatively new corpus (from 2012) recorded in a narrow area. We observed a regional bias of the ASR-System with higher recognition scores for the north of Germany vs. lower scores for the south. A detailed analysis of the narrow region data revealed – despite relatively high ASR-confidence – some specific word errors due to a lack of regional adaptation. These findings need to be considered in decisions on further data processing and the curation of corpora, e.g. correcting transcripts or transcribing from scratch. Such geography-dependent analyses can also have the potential for ASR-development to make targeted data selection for training/adaptation and to increase the sensitivity towards varieties of pluricentric languages.