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Drawing on research from conversation analysis and developmental psychology, we point to the existence of “supporters” of morally responsible agency in everyday interaction: causes of our behavior that we are often unaware of, but that would make goodenough reasons for our actions, were we made aware of them.
In Beispielen wie
(1) Du hast scheints / Weiß Gott nichts begriffen.
(2) It cost £200, give or take.
(3) Qu’est ce qu’il a dit?
werden verbale Konstruktionen (kurz: VK, hier jeweils die fett gesetzten Teile) in einer Weise gebraucht, die der Grammatik verbaler Konstruktionen zuwiderläuft. In (1) und (2) wird die verbale Konstruktion wie ein Adverb/eine Partikel gebraucht bzw. wie ein Ausdruck in der Funktion eines (adverbialen) Adjunkts/ Supplements. In (3) ist die verbale Konstruktion zum Bestandteil einer periphrastischen interrogativen Konstruktion geworden. Wie sind solche ‘Umfunktionalisierungen’ – wie ich das Phänomen zunächst vortheoretisch bezeichnen möchte – einzuordnen? Handelt es sich um Lexikalisierung oder um Grammatikalisierung? Oder um ein Phänomen der dritten Art? Die Umfunktionalisierung verbaler Syntagmen bzw. Konstruktionen – ich gebrauche die Abkürzung UVK für ‘umfunktionalisierte verbale Konstruktion(en)’ – ist ein bisher weniger gut untersuchtes Phänomen, etwa gegenüber der Umfunktionalisierung von Präpositionalphrasen, die sprachübergreifend zu komplexen, „sekundären“ Präpositionen werden können (man vergleiche DEU auf Grund + Genitiv / von, ENG on top of, FRA à cause de).
Am Beispiel von zwei Fallstudien wird die Frage der Generalisierbarkeit von an einer Einzelsprache gewonnenen Erkenntnissen über Verknüpfungselemente (Konnektoren) und konnektorale Strukturen aufgeworfen. Empirisch geht es zum einen um die Topologie von Adverbkonnektoren, zum anderen um das Verhältnis zwischen Adverbkonnektoren, Subjunktoren (bzw. Untersatzeinleitern) und den ihnen zugrundeliegenden Präpositionen. Methodischer Ausgangspunkt sind jeweils die Analysen und Klassifikationen des HDK, also ein dezidiert auf das Deutsche bezogener Ansatz. Es soll gezeigt werden, dass die feinkörnige einzelsprachliche Analyse, wie sie das HDK bietet, mit Gewinn auch auf andere europäische Sprachen, hier Englisch, Französisch und am Rande auch Polnisch, adaptiert werden kann, wenn die Rahmenbedingungen stimmen, also zugrundeliegende funktionale komparative Konzepte und sprachspezifische Strukturprinzipien beachtet werden. Dann ist auch ein Zugewinn für die Beschreibung des Deutschen zu erwarten.
Many studies on dictionary use presuppose that users do indeed consult lexicographic resources. However, little is known about what users actually do when they try to solve language problems on their own. We present an observation study where learners of German were allowed to browse the web freely while correcting erroneous German sentences. In this paper, we are focusing on the multi-methodological approach of the study, especially the interplay between quantitative and qualitative approaches. In one example study, we will show how the analysis of verbal protocols, the correction task and the screen recordings can reveal the effects of intuition, language (learning) awareness, and determination on the accuracy of the corrections. In another example study, we will show how preconceived hypotheses about the problem at hand might hinder participants from arriving at the correct solution.
We present ESDexplorer (https://owid.shinyapps.io/ESDexplorer), a browser application which allows the user to explore the data from a large European survey on dictionary use and culture. We built ESDexplorer with several target groups in mind: our cooperation partners, other researchers, and a more general public interested in the results. Also, we present in detail the architecture and technological realisation of the application and discuss some legal aspects of data protection that motivated some architectural choices.
We present an empirical study addressing the question whether, and to which extent, lexicographic writing aids improve text revision results. German university students were asked to optimise two German texts using (1) no aids at all, (2) highlighted problems, or (3) highlighted problems accompanied by lexicographic resources that could be used to solve the specific problems. We found that participants from the third group corrected the largest number of problems and introduced the fewest semantic distortions during revision. Also, they reached the highest overall score and were most efficient (as measured in points per time). The second group with highlighted problems lies between the two other groups in almost every measure we analysed. We discuss these findings in the scope of intelligent writing environments, the effectiveness of writing aids in practical usage situations and teaching dictionary skills.
The actual or anticipated impact of research projects can be documented in scientific publications and project reports. While project reports are available at varying level of accessibility, they might be rarely used or shared outside of academia. Moreover, a connection between outcomes of actual research project and potential secondary use might not be explicated in a project report. This paper outlines two methods for classifying and extracting the impact of publicly funded research projects. The first method is concerned with identifying impact categories and assigning these categories to research projects and their reports by extension by using subject matter experts; not considering the content of research reports. This process resulted in a classification schema that we describe in this paper. With the second method which is still work in progress, impact categories are extracted from the actual text data.
We present an approach for modeling German negation in open-domain fine grained sentiment analysis. Unlike most previous work in sentiment analysis, we assume that negation can be conveyed by many lexical units (and not only common negation words) and that different negation words have different scopes. Our approach is examined on a new dataset comprising sentences with mentions of polar expressions and various negation words. We identify different types of negation words that have the same scopes. We show that already negation modeling based on these types largely outperforms traditional negation models which assume the same scope for all negation words and which employ a window-based scope detection rather than a scope detection based on syntactic information.