Hesitations and repair in German

The occurrence of pauses and hesitations in spontaneous speech has been shown to occur systematically, for example, "between sentences, after discourse markers and conjunctions and before accented content words." (Hansson [15]) This is certainly plausible in English, where pauses and hesitations can and often do occur before content words such as nominals, for example, "uh, there's a … man." (Chafe [8]) However, if hesitations are, in fact, evidence of "deciding what to talk about next," (Chafe [8]) then the complex grammatical system of German should render this pausing position precarious, since pre-modifiers must account for the gender of the nominals they modify.In this paper, I present data to test the hypothesis that pre-nominal hesitation patterns in German are dissimilar to those in English. Hesitations in German will be shown, in fact, to occur within noun phrase units. Nevertheless, native speakers most often succeed in supplying a nominal which conforms to the gender indicated by the determiner or pre-modifier. Corrections, or repairs, of infelicitous pre-modifiers indicate that the speaker was unable to supply a nominal of the same gender which the choice of pre-modifier had committed him/her to. The frequency of such repairs is shown to vary according to task, with fewest repairs occurring in elicited speech which allows for linguistic freedom and therefore is most like spontaneous speech. The data sets indicate that among German native speakers, hesitations occurring before noun phrase units (pre-NPU hesitations) indicate deliberation of what to say, while hesitations within or before the head of the noun phrase (pre-NPH hesitations) indicate deliberation of how to say what has already been decided (cf. Chafe [8]).

About Collaboration, Interaction, and the Negotiation of Meaning in Synchronous Written Chats in L2-German

Open Access

What do they expect? : A case study on the work expectations of the working German Generation Y

Purpose – The purpose of this paper is to identify the expectations of the workingGerman Generation Y regarding its current work and employer. As a result, the mainelements which could be considered by companies to retain the Generation Y inGermany will be pointed out and discussed.Design/methodology/approach – Semi-structured interviews were used in order toexplore the work expectations of this young generation within a German company. Anon-probability and purposive sample was used and six respondents part of theGeneration Y and working in the same company were interviewed. Furthermore, aseventh interview was conducted with the HMR of the company.Findings – Several findings are consistent with previous results of Gen Y from othernationalities than Germany such as the importance of varied tasks, opportunities forself-development, responsibilities and a pleasant working atmosphere. However,differences were found in particular regarding the importance of the work-life balanceand new expectations such as trust, autonomy and internationality have been broughtto light. Furthermore, several findings are also consistent with other studies aboutemployee retention, commitment and job satisfaction.Originality/value – This research extended previous studies of the expectations of theGeneration Y by providing firstly findings for Germany, a country where such studieshave not been conducted yet and secondly by focusing on the Generation Y who isalready working and therefore not studying anymore.

Identity and image – the story of expertise in a manufacturing company

This thesis is an investigation on the corporate identity of the firm SSAB from a managerial viewpoint (1), the company communication through press releases (2), and the image of the company as portrayed in news press articles (3). The managerial view of the corporate identity is researched through interviews with a communication manager of SSAB (1), the corporate communication is researched through press releases from the company (2) and the image is researched in news press articles (3). The results have been deducted using content analysis. The three dimensions are compared in order to see if the topics are coherent. This work builds on earlier research in corporate identity and image research, stakeholder theory, corporate communication and media reputation theory. This is interesting to research as the image of the company framed by the media affects, among other things, the possibility for the company to attract new talent and employees. If there are different stories, or topics, told in the three dimensions then the future employees may not share the view of the company with the managers in it. The analysis show that there is a discrepancy between the topics on the three dimensions, both between the corporate identity and the communication through press releases, as well as between the communication through press releases and the image in news press articles.

Machine Learning Algorithms in Heavy Process Manufacturing

In a global economy, manufacturers mainly compete with cost efficiency of production, as the price of raw materials are similar worldwide. Heavy industry has two big issues to deal with. On the one hand there is lots of data which needs to be analyzed in an effective manner, and on the other hand making big improvements via investments in cooperate structure or new machinery is neither economically nor physically viable. Machine learning offers a promising way for manufacturers to address both these problems as they are in an excellent position to employ learning techniques with their massive resource of historical production data. However, choosing modelling a strategy in this setting is far from trivial and this is the objective of this article. The article investigates characteristics of the most popular classifiers used in industry today. Support Vector Machines, Multilayer Perceptron, Decision Trees, Random Forests, and the meta-algorithms Bagging and Boosting are mainly investigated in this work. Lessons from real-world implementations of these learners are also provided together with future directions when different learners are expected to perform well. The importance of feature selection and relevant selection methods in an industrial setting are further investigated. Performance metrics have also been discussed for the sake of completion.