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Dieses Gespräch wurde am 6. Februar 2023 in den Räumlichkeiten des Marsilius-Kollegs der Universität Heidelberg aufgenommen. Es spiegelt den Austausch zwischen den beteiligten Wissenschaftlerinnen und Wissenschaftlern wider und gibt einen ersten Einblick in die Themen und Fragen, die in diesem Sammelband eine Rolle spielen. Das Gespräch wurde transkribiert und an denjenigen Stellen sprachlich überarbeitet, die es aus Gründen der Verständlich- und Lesbarkeit erforderten. Der mündliche, im Nachdenken begriffene Charakter des Gesprächs wurde gewahrt.
In diesem Beitrag beschäftigen wir uns mit moralisierenden Sprachhandlungen, worunter wir diskursstrategische Verfahren verstehen, in denen die Beschreibung von Streitfragen und erforderlichen Handlungen mit moralischen Begriffen enggeführt werden. Auf moralische Werte verweisendes Vokabular (wie beispielsweise „Freiheit“, „Sicherheit“ oder „Glaubwürdigkeit“) wird dabei verwendet, um eine Forderung durchzusetzen, die auf diese Weise unhintergehbar erscheint und keiner weiteren Begründung oder Rechtfertigung bedarf. Im Fokus unserer Betrachtungen steht dementsprechend das aus pragma-linguistischer Sicht auffällige Phänomen einer spezifischen Redepraxis der Letztbegründung oder Unhintergehbarkeit, die wir als Pragmem auffassen und beschreiben. Hierfür skizzieren wir zunächst den in der linguistischen Pragmatik verorteten Zugang zu Praktiken der Moralisierung, betrachten sprachliche Formen des Moralisierens und deren strukturelle Einbettung in den Satz oder den Text (also kotextuelle und pragmasyntaktischen Struktureinbettungen), um anschließend Hypothesen zu kontextuellen Wirkungsfunktionen aufzustellen. Darauf basierend leiten wir schließlich anhand von exemplarischen Korpusbelegen Strukturmuster des Moralisierens ab, die wir in dem philosophisch-linguistischen Fachterminus ‚Pragmem‘ verdichten und mittels qualitativer und quantitativer Analysen operationalisieren.
Unserdeutsch (Rabaul Creole German) entstand um 1900 an einer katholischen Missionsstation in Vunapope auf der Insel New Britain im Bismarck-Archipel. Seine dominante Substratsprache ist Tok Pisin, das melanesische Pidgin-Englisch, seine Superstratsprache Deutsch. Der Aufsatz versucht das sprachliche Superstrat von Unserdeutsch näher zu bestimmen, d. h. die Frage zu beantworten, welches Deutsch von den Missionaren in Vunapope um 1900, am Ort und zum Zeitpunkt der Entstehung von Unserdeutsch, gesprochen wurde. Zu diesem Zweck werden die als Superstrattransfer aus dem Deutschen erklärbaren, regional markierten linguistischen Strukturmerkmale in Unserdeutsch untersucht und im geschlossenen Sprachgebiet sprachgeografisch lokalisiert. Ergänzt wird diese linguistische Evidenz durch extra- und metalinguistische Evidenz aus einschlägigen, zeitgenössischen Quellen. Die Ergebnisse deuten auf ein vorwiegend nordwestdeutsch-westfälisch geprägtes, insgesamt jedoch heterogenes, standardnahes sprachliches Superstrat hin und widerlegen somit frühere diesbezügliche Aussagen in der einschlägigen Fachliteratur. Und sie zeigen zugleich auch, dass die Analyse von kolonialen und sonstigen Auswanderervarietäten, besonders von solchen, die – wie Unserdeutsch – im Laufe ihrer späteren Geschichte den Kontakt zum sprachlichen Mutterland vollständig verloren haben, zur Rekonstruktion historischer Mündlichkeit wertvolle Daten liefern kann.
Die Rationale der psychodynamischen Psychotherapie (und anderer Therapieformate) besteht darin, belastende und teils der bewussten Reflexion unzugängliche Erfahrungen der PatientInnen aufzuklären, ihre Ursachen zu identifizieren und alternative Wahrnehmungs- und Handlungsweisen zu ermöglichen. Dazu bedient sie sich eines bestimmten Settings: der Therapie über mehrere Sitzungen hinweg, in denen PatientInnen ihre Beschwerden und Erfahrungen berichten und TherapeutInnen mithilfe kommunikativer Praktiken gemeinsam mit den PatientInnen die Beschwerden aufzuklären, die Erfahrungen zu vertiefen und die Probleme zu lösen suchen. In der konversationsanalytischen Psychotherapieforschung (Peräkylä et al. 2008) werden dazu vier Grundtypen verständigungsbegünstigender kommunikativer Praktiken der Psychotherapie identifiziert: äußerungsfortführende Extensionen, Musterhaftigkeit herstellende Interpretationen, reformulierende formulations und Fragen (Weiste & Peräkylä 2015). Der vorliegende Beitrag widmet sich der Untersuchung von drei Fragetypen: Beispielnachfrage, Kollaborative Erklärungsfindungsfrage und Lösungsorientierte Frage und deren sequenzieller Organisation in psychodiagnostischen Gesprächen. Ziel ist es, deren unterschiedliche produktive Potenziale hinsichtlich der Handlungsrationale diagnostischer und therapeutischer Aufgabenstellungen herauszuarbeiten.
In the present contribution, I investigate if and how the English and French editions of the Wiktionary collaborative dictionary can be used as a corpus for real time neology watch. This option is envisaged as a stopgap, when no satisfactory corpus is available. Wiktionary can also prove useful in addition to standard corpus analysis, to minimize the risk of overlooking new coinages and new senses. Since the collaborative dictionary’s quest for exhaustiveness makes the manual inspection of the new additions unreasonable (more than 31,000 English lemmas and 11,000 French lemmas entered the nomenclature in 2020), identifying the possibly relevant headwords is an issue. The solution proposed here is to use Wiktionary revision history to detect the (new or existing) entries that received the greatest number of modifications. The underlying hypothesis is that the most heavily edited pages can help identify the vocabulary related to “hot topics”, assuming that, in 2020, the pandemic-related vocabulary ranks high. I used two measures introduced by Lih (2004), whose aim was to estimate the quality of Wikipedia articles: the so-called rigour (number of edits per page) and diversity (number of unique contributors per page). In the present study, I propose to adapt the rigour and diversity metrics to Wiktionary in order to identify the pages that generated a particular stir, rather than to estimate the quality of the articles. I do not subscribe to the idea that – in Wiktionary – more revisions necessarily produce quality articles (more revisions often produce complete articles). I therefore adopt Lih’s notion of diversity to refer to the number of distinct contributors, but leave out the name rigour when it comes to the number of revisions. Wolfer and Müller-Spitzer (2016) used the two metrics to describe the dynamics of the German and English editions of Wiktionary. One of their findings was that the number of edits per page is correlated with corpus word frequencies. The variation in number of page edits should therefore reflect to some extent the variation of corpus word frequencies. Renouf (2013) established a relationship between the fluctuation of word frequencies in a diachronic corpus and various neological processes. In particular, she illustrated how specific events generate sudden frequency spikes for words previously unseen in the corpus. For instance, Eyjafjallajökull, the – existing – name of an Icelandic glacier, appeared in the corpus when the underlying volcano erupted in 2010 and disrupted air traffic in Europe. In order to check if the same phenomenon occurs when using Wiktionary edits instead of corpus frequencies, I manually annotated the most frequently revised entries (according to various ranking scores) with the binary tag: “related to Covid-19” (yes/no). The annotations were then used to test the ability of various configurations to detect relevant headwords from the English and French Wiktionary, namely Covid-19 neologisms and related existing words that deserve updates.
To leverage the Deaf community’s increasing online presence, the web-based platform NZSL Share was launched in March 2020 to crowdsource new and previously undocumented signs, and to encourage community validation of these signs. The platform allows users to upload sign videos, comment on videos and agree or disagree with (often new) signs being proposed. It is managed by the research team that maintains the ODNZSL, which includes the authors. NZSL Share is being used by individuals as well as Deaf community groups to record and share signs of a specialist nature (e.g., school curriculum signs). NZSL Share now has close to 50 actively contributing members. Its launch coincided with the 2020 COVID-19 outbreak in New Zealand and so some of the first signs contributed were COVID-19-related, which are the focus of this paper.
This paper arises within the current communication urgency experienced throughout the pandemic. From its onset, several new lexical units have permeated the overall media discourse, as well as social media and other channels. These units convey information to the public regarding the ‘severe acute respiratory syndrome’ namely COVID-19. In addition to its worldwide impact healthwise, the pandemic generates noteworthy influence in the linguistic landscape, and as a result, a significant number of neologisms have emerged. Within the scope of our ongoing research, we identify the neologisms in European Portuguese that are related to the term COVID-19 via form or meaning. However, not all the new lexical units identified in our corpus containing COVID-19 in its formation can unequivocally be regarded as neoterms (terminological neologisms). Accordingly, this article aims not only to reflect on the distinction between neologism and neoterm but also to explore the determinologisation process that several of these new lexical units experience.
This paper presents the main issues connected with the creation of a trilingual Hungarian-Italian-English dictionary of the COVID-19 pandemic using Lexonomy. My aim is not only to create a coronacorpus (in Hungarian, I propose my own corona-neologism or ‘coroneologism’: koronakorpusz) and a dictionary of equivalents, but also to understand how the different waves and phases of the COVID-19 pandemic are changing the Hungarian language, detect the Corona-, COVID-, pandemic-, virus-, mask-, quarantine-, and vaccine-related neologisms, and offer an overview of the most frequent or linguistically interesting Hungarian neologisms and multiword units related to COVID-19.
This article has a double objective. First, it seeks to offer an initial approach, with critical notes, to the group of pandemic-related neologisms incorporated into the DLE in the year 2020. To that end, the trends in the academic dictionary’s incorporation of neologisms will be reviewed, focusing in particular on specialized language neologisms. Second, the article presents the design of a research study that allows for the examination of any new words beginning with CORONA- added to the DLE and the DHLE. An assessment will be made of the particularities of the DLE and the DHLE regarding the incorporation of the new words, as well as the degree of correspondence or complementarity between the two works in this sense. This will show the complementary roles that the DLE and the DHLE are currently acquiring. In this sense, the new additions open up a debate on the treatment of neologisms in academic lexicography, in a particularly unique scenario.
This paper focuses on standardological and lexicographical aspects of Coronavirus-related neologisms in Croatian. The presented results are based on corpus analysis. The initial corpus for this analysis consists of terms collected for the Glossary of Coronavirus. This corpus has been supplemented by terms we collected on the Internet and from the media. The General Croatian corpora: Croatian Web Corpus – hrWaC (cf. Ljubešić/Klubička 2016) and Croatian Language Repository (cf. Brozović Rončević/Ćavar 2008: 173–186) were also used, but since they do not include neologisms that entered the language after 2013, they could be used only to check terms in the language before that time. From October 2021, a specialized Corona corpus compiled by Štrkalj Despot and Ostroški Anić (2021) became publicly available on request. The data from these corpora are analyzed by Sketch Engine (cf. Kilgarriff et al. 2004: 105–116), a corpus query system loaded with the corpora, enabling the display of lexeme context through concordances and (differential) word sketches and the extraction of keywords (terms) and N-grams. The most common collocations are sorted into syntactic categories. For English equivalents, in addition to the sources found on the Internet, enTenTen2020 corpus was consulted. In the second part of the paper, we analyze and compare the presentation of Coronavirus terminology in the descriptive Glossary of Coronavirus and the normative Croatian Web Dictionary – Mrežnik.