Lexicographica : series maior
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151
Wiegand’s opus magnum „Wörterbuchforschung“ ends with a chapter on the state and the relevant taslcs for research into dictionary use in the middle of the 1990s. This article aims at reflecting the taste and the relevance of dictionary usage research 20 years later. I will argue that the fundamentally changed lexicographic landscape makes it necessary to shift the focus of research. In my view, the most important aim of research into dictionary use can no longer be limited to improving dictionaries. Research into dictionary use should also raise more awareness for user- orientation in general and should provide methodological reflection to enlighten the increasingly important usage statistics for online dictionaries. Another goal should be to look behind the scenes of collaborative dictionaries in order to provide background data to classify their relevance in relation to dictionaries elaborated by lexicographic experts. The crisis of lexicography makes it also necessary to broaden our view and concentrate on situations in which linguistic questions arise. In this context, we could examine in which of these situations the consultation of lexicographic data helps. In summary, the aim of research into dictionary use is to identify the fields where sound lexicographic work is really helpful for potential users.
145
In this paper, we present the concept and the results of two studies addressing (potential) users of monolingual German online dictionaries, such as www.elexiko.de. Drawing on the example of elexiko, the aim of those studies was to collect empirical data on possible extensions of the content of monolingual online dictionaries, e.g. the search function, to evaluate how users comprehend the terminology of the user interface, to find out which types of information are expected to be included in each specific lexicographic module and to investigate general questions regarding the function and reception of examples illustrating the use of a word. The design and distribution of the surveys is comparable to the studies described in the chapters 5-8 of this volume. We also explain, how the data obtained in our studies were used for further improvement of the elexiko-dictionary.
163
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.
163
Within the scope of the project "Study and dissemination of COVID-19 terminology", the study reported here aims to detect, analyse and discuss the characteristics of COVID-19 terminology, in particular the role of the adjective novo [new] in this terminology, the high recurrence of terms in the plural and the resemantization of some of the terminological units used. The present paper also discusses how these characteristics influenced the choices that have guided the creation of the proposed dictionary. This paper presents, therefore, the results of the analyses of these aspects, starting with a discussion of the relation between terminology and neology and arriving at the characteristic aspects of the macrostructural and microstructural choices about which some considerations were made.
145
In this paper, the authors use the 2012 log files of two German online dictionaries (Digital Dictionary of the German Language and the German Version of Wiktionary) and the 100,000 most frequent words in the Mannheim German Reference Corpus from 2009 to answer the question of whether dictionary users really do look up frequent words, first asked by de Schryver et al. (2006). By using an approach to the comparison of log files and corpus data which is completely different from that of the aforementioned authors, we provide empirical evidence that indicates - contrary to the results of de Schryver et al. and Verlinde/Binon (2010) - that the corpus frequency of a word can indeed be an important factor in determining what online dictionary users look up. Finally, we incorporate word class Information readily available in Wiktionary into our analysis to improve our results considerably.