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This paper reports on an ongoing international project of compiling a freely accessible online Dictionary of German Loans in Polish Dialects. The dictionary will be the first comprehensive lexicographic compendium of its kind, serving as a complement to existing resources on German lexical loans in the literary or standard language. The empirical results obtained in the project will shed new light on the distribution of German loanwords among different dialects, also in comparison to the well-documented situation in written Polish. The dictionary will have a strong focus on the dialectal distribution of Polish dialectal variants for a given German etymon, accessible through interactive cartographic representations and corresponding search options. The editorial process is realized with dedicated collaborative web tools. The new resource will be published as an integrated part of an online information system for German lexical borrowings in other languages, the Lehnwortportal Deutsch, and is therefore highly cross-linked with other loanword dictionaries on Polish as well as Slavic and further European languages.
Das Lehnwortportal Deutsch (LWPD) ist ein Online-Informationssystem zu Entlehnungen von Wörtern aus dem Deutschen in andere Sprachen. Es beruht auf einer wachsenden Zahl von lexikographischen Ressourcen zu verschiedenen Sprachen und bietet eine einfache ressourcenübergreifende Suchfunktion an. Das Poster präsentiert eine derzeit in Entwicklung befindliche onomasiologische Suchfunktion für das LWPD.
Since the beginning of the Covid-19 pandemic, about 2000 new lexical units have entered the German lexicon. These concern a multitude of coinings and word formations (Kuschelkontakt, rumaerosolen, pandemüde) as well as lexical borrowings mainly from English (Lockdown, Hotspot, Superspreader). In a special way, these neologisms function as keywords and lexical indicators sketching the development of the multifaceted corona discourse in Germany. They can be detected systematically by corpus-linguistic investigations of reports and debates in contemporary public communication. Keyword analyses not only exhibit new vocabulary, they also reveal discursive foci, patterns of argumentation and topicalisations within the diverse narratives of the discourse. With the help of quickly established and dominant neologisms, this paper will outline typical contexts and thematic references, but it will also identify speakers' attitudes and evaluations.
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.
This paper presents the Lehnwortportal Deutsch, a new, freely accessible publication platform for resources on German lexical borrowings in other languages, to be launched in the second half of 2022. The system will host digital-native sources as well as existing, digitized paper dictionaries on loanwords, initially for some 15 recipient languages. All resources remain accessible as individual standalone dictionaries; in addition, data on words (etyma, loanwords etc.) together with their senses and relations to each other is represented as a cross-resource network in a graph database, with careful distinction between information present in the original sources and the curated portal network data resulting from matching and merging information on, e. g., lexical units appearing in multiple dictionaries. Special tooling is available for manually creating graphs from dictionary entries during digitization and for editing and augmenting the graph database. The user interface allows users to browse individual dictionaries, navigate through the underlying graph and ‘click together’ complex queries on borrowing constellations in the graph in an intuitive way. The web application will be available as open source.
In this paper we present an experimental semantic search function, based on word embeddings, for an integrated online information system on German lexical borrowings into other languages, the Lehnwortportal Deutsch (LWPD). The LWPD synthesizes an increasing number of lexicographical resources and provides basic cross-resource search options. Onomasiological access to the lexical units of the portal is a highly desirable feature for many research questions, such as the likelihood of borrowing lexical units with a given meaning (Haspelmath & Tadmor, 2009; Zeller, 2015). The search technology is based on multilingual pre-trained word embeddings, and individual word senses in the portal are associated with word vectors. Users may select one or more among a very large number of search terms, and the database returns lexical items with word sense vectors similar to these terms. We give a preliminary assessment of the feasibility, usability and efficacy of our approach, in particular in comparison to search options based on semantic domains or fields.
Neologismen
(2015)