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This contribution explores the relationship between the English CEFR (Common European Framework of Reference for Languages) vocabulary levels and user interest in English Wiktionary entries. User interest was operationalized through the number of views of these entries in Wikimedia server logs covering a period of four years (2019–2022). Our findings reveal a significant relationship between CEFR levels and user interest: entries classified at lower CEFR levels tend to attract more views, which suggests a greater user interest in more basic vocabulary. A multiple regression model controlling for other known or potential factors affecting interest: corpus frequency, polysemy, word prevalence, and age of acquisition confirmed that lower CEFR levels attract significantly more views even after taking into account the other predictors. These findings highlight the importance of CEFR levels in predicting which words users are likely to look up, with implications for lexicography and the development of language learning materials.
Hintergrund: Die digitale Transformation prägt gesellschaftliche Systeme weltweit. Digital Health umfasst verschiedene Bereiche, wie z. B. die Verfügbarkeit und Auswertung von Daten, die Möglichkeit der Vernetzung innerhalb der eigenen Berufs- oder Betroffenengruppe und die Art, wie Patient*innen, Angehörige und Behandler*innen miteinander kommunizieren.
Ziel der Arbeit: Digital Health wird mit ihren Auswirkungen auf die Beziehung und die Kommunikation zwischen Patient*innen, Angehörigen und Behandler*innen beleuchtet. Veränderungen, die bereits erkennbar sind, werden beschrieben und Perspektiven aufgezeigt.
Methoden: Das Thema wird aus sozialphilosophischer, sprachwissenschaftlicher und ärztlicher Perspektive in folgenden Bereichen exploriert: digitale vs. analoge Kommunikation, Narration vs. Datensammeln, Internet und soziale Medien als Informationsquelle, Raum für Identitätsbildung und Veränderung der Interaktion von Patient*innen, Angehörigen und Behandler*innen.
Ergebnisse: Die Erweiterung der Interaktion zwischen Patient*innen und Ärzt*innen auf digitale und Präsenzformate sowie die asynchrone und synchrone Kommunikation erhöhen die Komplexität, aber auch die Flexibilität. Die Fokussierung auf „objektive“ Daten kann den Blick auf die Person mit ihrer individuellen Biografie beeinträchtigen, während digitale Räume die Möglichkeiten zur Identitätsbildung aufseiten der Patient*innen und für die Interaktion deutlich erweitern.
Diskussion: Bereits jetzt zeigen sich Vorteile der Digitalisierung (z. B. besseres Selbstmanagement) und Nachteile (Fokussierung auf Daten statt auf die Person). Für den kinder- und jugendärztlichen Bereich bestehen die Notwendigkeiten, professionelle kommunikative Kompetenzen und professionelle Gesundheitskompetenz zu erweitern sowie die Organisation seiner Versorgungseinrichtungen weiterzuentwickeln.
Theater rehearsals are (usually) confronted with the problem of having to transform a written text into an audio-visual, situated and temporal performance. Our contribution focuses on the emergence and stabilization of a gestural form as a solution for embodying a certain aesthetic concept which is derived from the script. This process involves instructions and negotiations, making the process of stabilization publicly and thus intersubjectively accessible. As scenes are repeatedly rehearsed, rehearsals are perspicuous settings for tracking interactional histories. Based on videotaped professional theatre interactions in Germany, we focus on consecutive instances of rehearsing the same scene and trace the interactional history of a particular gesture. This gesture is used by the director to instruct the actors to play a particular aspect of a scene adopting a certain aesthetic concept. Stabilization requires the emergence of shared knowledge. We will show the practices by which shared knowledge is established over time during the rehearsal process and, in turn, how the accumulation of knowledge contributes to a change in the interactional practices themselves. Specifically, we show how a gesture emerges in the process of developing and embodying an aesthetic concept, and how this gesture eventually becomes a sign that refers to and evokes accumulated knowledge. At the same time, we show how this accumulated knowledge changes the instructional activities in the rehearsal process. Our study contributes to the overall understanding of knowledge accumulation in interaction in general and in theater rehearsals in particular. At the same time, it is devoted to the central importance of gestures in theater, which are both a means and a product of theatrical staging.
Neologisms, i.e., new words or meanings, are finding their way into everyday language use all the time. In the process, already existing elements of a language are recombined or linguistic material from other languages is borrowed. But are borrowed neologisms accepted similarly well by the speech community as neologisms that were formed from “native” material? We investigate this question based on neologisms in German. Building on the corresponding results of a corpus study, we test the hypothesis of whether “native” neologisms are more readily accepted than those borrowed from English. To do so, we use a psycholinguistic experimental paradigm that allows us to estimate the degree of uncertainty of the participants based on the mouse trajectories of their responses. Unexpectedly, our results suggest that the neologisms borrowed from English are accepted more frequently, more quickly, and more easily than the “native” ones. These effects, however, are restricted to people born after 1980, the so-called millenials. We propose potential explanations for this mismatch between corpus results and experimental data and argue, among other things, for a reinterpretation of previous corpus studies.
The CLARIN infrastructure as an interoperable language technology platform for SSH and beyond
(2023)
CLARIN is a European Research Infrastructure Consortium developing and providing a federated and interoperable platform to support scientists in the field of the Social Sciences and Humanities in carrying-out language-related research. This contribution provides an overview of the entire infrastructure with a particular focus on tool interoperability, ease of access to research data, tools and services, the importance of sharing knowledge within and across (national) communities, and community building. By taking into account FAIR principles from the very beginning, CLARIN succeeded in becoming a successful example of a research infrastructure that is actively used by its members. The benefits CLARIN members reap from their infrastructure secure a future for their common good that is both sustainable and attractive to partners beyond the original target groups.
We present a supervised machine learning AND system which tackles semantic similarity between publication titles by means of word embeddings. Word embeddings are integrated as external components, which keeps the model small and efficient, while allowing for easy extensibility and domain adaptation. Initial experiments show that word embeddings can improve the Recall and F score of the binary classification sub-task of AND. Results for the clustering sub-task are less clear, but also promising and overall show the feasibility of the approach.
The demo presents a minimalist, off-the-shelf AND tool which provides a fundamental AND operation, the comparison of two publications with ambiguous authors, as an easily accessible HTTP interface. The tool implements this operation using standard AND functionality, but puts particular emphasis on advanced methods from natural language processing (NLP) for comparing publication title semantics.
This article presents a discussion on the main linguistic phenomena which cause difficulties in the analysis of user-generated texts found on the web and in social media, and proposes a set of annotation guidelines for their treatment within the Universal Dependencies (UD) framework of syntactic analysis. Given on the one hand the increasing number of treebanks featuring user-generated content, and its somewhat inconsistent treatment in these resources on the other, the aim of this article is twofold: (1) to provide a condensed, though comprehensive, overview of such treebanks—based on available literature—along with their main features and a comparative analysis of their annotation criteria, and (2) to propose a set of tentative UD-based annotation guidelines, to promote consistent treatment of the particular phenomena found in these types of texts. The overarching goal of this article is to provide a common framework for researchers interested in developing similar resources in UD, thus promoting cross-linguistic consistency, which is a principle that has always been central to the spirit of UD.