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Recipient design is a key constituent of intersubjectivity in interaction. Recipient design of turns is informed by prior knowledge about and shared experience with recipients. Designing turns in order to be maximally effective for the particular recipient(s) is crucial for accomplishing intersubjectively coordinated action. This paper reports on a specific pragmatic structure of recipient design, i.e. counter-factual recipient design, and how it impinges on intersubjectivity in interaction. Based on an analysis of video-recordings data from driving school lessons in German, two kinds of counterfactual recipient design of instructors' requests are distinguished: pedagogic and egocentric turn-design. Counterfactual, pedagogic turn-design is used strategically to diagnose student skills and to create opportunities for corrective instructions. Egocentric turn-design rests on private, non-shared knowledge of the instructor. Egocentrically designed turns imply expectations of how to comply with requests which cannot be recovered by the student and which lead to a breakdown of intersubjective cooperation. This paper identifies practices, sources and interactional consequences of these two kinds of counterfactual recipient design. In addition, the study enhances our understanding of recipient design in at least three ways. It shows that recipient design does not only concern referential and descriptive practices, but also the indexing intelligible projections of next actions; it highlights the productive, other-positioning effects of recipient design; it argues that recipient design should be analyzed in terms of temporally extended interactional trajectories, linking turn-constructional practices to interactional histories and consecutive trajectories of joint action.
This think-aloud study charts the use of online resources by five final-year MA students in Nordic and Literacy Studies based on the analysis of screen and audio recordings of an error-correction task. The article briefly presents some linguistic features of Norwegian Nynorsk that are not common in the context of other European languages, that is, norm optionality with regards to inflection and spelling. While performing the task, the participants were allowed to use all digital aids. This article examines their resource consultation behavior, and it makes use of Laporte/Gilquin’s (2018) annotation protocol. The following research questions are posed: What online resources are used by the students? What characterizes the use? Are online resources helpful? This study provides new insights into an as yet little explored topic within the Norwegian context. The findings demonstrate that the participants relied heavily on the official monolingual dictionary Nynorskordboka. Indeed, the dictionary was helpful in the vast majority of the searches, either resulting in error improvement or the validation of a word; that is, many of the searches considered correct words. The findings suggest severe norm insecurity and emphasize the need to improve norm knowledge and metalinguistic knowledge as prerequisites for better utilization of aids. It is also suggested to include necessary information on norm optionality and other commonly queried issues in the dictionary architecture.
We present an approach for automatic detection and correction of OCR-induced misspellings in historical texts. The main objective is the post-correction of the digitized Royal Society Corpus, a set of historical documents from 1665 to 1869. Due to the aged material the OCR procedure has made mistakes, thus leading to files corrupted by thousands of misspellings. This motivates a post processing step. The current correction technique is a pattern-based approach which due to its lack of generalization suffers from bad recall.
To generalize from the patterns we propose to use the noisy channel model. From the pattern based substitutions we train a corpus specific error model complemented with a language model. With an F1-Score of 0.61 the presented technique significantly outperforms the pattern based approach which has an F1-score of 0.28. Due to its more accurate error model it also outperforms other implementations of the noisy channel model.
The aim of this paper is to present the results of an empirical analysis of the use of non-alphabetic graphic signs (e.g. asterisks, slashes, plus signs etc.) in the context of repairs in Russian and German informal electronic communication. The data for the analysis were taken from the “Mobile Communication Database MoCoDa” (http://mocoda.spracheinteraktion.de/), which contains Russian and German private electronic communication via SMS, WhatsApp and other short message services, and the “Dortmunder Chat-Korpus” (http://www.chatkorpus.tu-dortmund.de/korpora.html). This paper describes the functions of various graphic resources in the context of repairs in both data collections and compares the occurrences of these functions in current Russian and German computer-mediated communication. It concludes that particular signs in both data sets share the same subset of functions, but they differ in terms of how frequently these resources occur in each form of communication.