Lexicographica : series maior
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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.
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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.
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While adjusting to the COVID-19 pandemic, people around the world started to talk about the “new normal” way of life, and they conveyed feelings and thoughts on the topic through social networks and traditional communication channels resorting to a set of specific linguistic strategies, such as metaphors and neologisms. The vocabulary in different domains and in everyday speech was expanded to accommodate a complex social, cultural, and professional phenomenon of changes. Therefore, this new life gave birth to a new language – the “coronaspeak”. According to Thorne (2020), the “coronaspeak” has three stages: first, it emerged in the way medical aspects were communicated in everyday language; secondly, it occurred when speakers verbalized the experiences they had undergone and “invented their own terms”; finally, this “new” way of speaking emerged in the government and authorities’ jargon, to ensure that the new rules and policies were understood, and that population adopted socially responsible behaviours.
In this paper, we will focus on the second stage, because we intend to take stock of how speakers communicate and verbalize this new way of living, particularly on social networks, for example. Alongside, we are interested in the context in which the neologism – be it a new word, a new meaning, or a new use – emerged, is used, and understood, through the observation of the occurrence of the new word(s) either on social networks or through dissemination texts (press) to confront it with the ones that Portuguese digital dictionaries have attested so far. Different criteria regarding the insertion of new units, the inclusion date, and the lexicographic description of the entries in the dictionaries will be debated.
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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.
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This volume of Lexicographica : Series Maior focuses on lexicographic neology and neological lexicography concerning COVID-19 neologisms, featuring papers originally presented at the third Globalex Workshop on Lexicography and Neology (GWLN 2021).
The thirteen papers in this volume focus on ten languages: one Altaic (Korean), one Finno-Ugric (Hungarian), two Germanic (English and German), four Romance (French, Italian, [Brazilian and European] Portuguese and [Pan-American and European] Spanish), and one Slavic (Croatian), as well as the Sign Language of New Zealand. Specialized dictionaries of neologisms are discussed as well as general language ones, monolingual, bilingual and multilingual lexical resources, print and electronic dictionaries. Questions regarding terminology as well as general language and standard and norm regarding COVID-19 neologisms are raised and different methods of detecting candidates in media corpora, as well as by user contributions, are discussed.
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This volume brings together contributions by international experts reflecting on Covid19-related neologisms and their lexicographic processing and representation. The papers analyze new words, new meanings of existing words, and new multiword units, where they come from, how they are transmitted (or differ) across languages, and how their use and meaning are reflected in dictionaries of all sorts. Recent trends in as many as ten languages are considered, including general and specialized language, monolingual as well as bilingual and printed as well as online dictionaries.
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In this paper, the basic assumptions are presented against the background of the development of a corpus-based method to determine suitable headword candidates for the LeGeDe-prototype (LeGeDe= Lexik des gesprochenen Deutsch), a lexicographical resource on spoken German. In a first quantitatively oriented step, potential one-word headword candidates are identified with the help of frequency class comparisons from a corpus for spoken (FOLK) and a subset from a corpus for written German (DEREKO). Qualitative analyses based on a project-specifically defined sample of data from the FOLK corpus lead to multi-word headword candidates. The results of the qualitative analyses were also compared with the results of studies from the research literature as well as (quantitative-orientated) bi- and trigram analyses. In their multi-word form, these candidates are particularly characterized by the fact that they assume a very special interactional function in the (authentic) interaction and have to be described as a whole unit. The paper explains this combined procedure, which was extracted in the LeGeDe-project for the appointment of headword candidates.
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In diesem Beitrag werden erste Erfahrungen mit und Überlegungen zu der Aufgabe dargelegt, ein Mikrostrukturenprogramm für ein Hypertext-Wörterbuch zu entwerfen. Zur Hypertextualisierung gedruckter Wörterbücher gibt es inzwischen erste Veröffentlichungen; meist bleibt hier die Bindung an eine gedruckte Vorlage, und sei die Hypertextualisierung noch so konsequent, bestehen. Im Unterschied zu solchen Hypertext-Wörterbüchern gehen nachfolgende Überlegungen von einem vorlagenunabhängigen Hypertext aus, dessen allgemeines Ziel es ist, Informationen zum deutschen Wortschatz zu vermitteln. Die hier vorgestellten Erfahrungen und Überlegungen sind an ein konkretes Projekt gebunden: LEKSIS - das lexikalisch-lexikologische Informationssystem des Instituts für Deutsche Sprache, Mannheim. Auf eine (weitere) Projektbeschreibung wird hier aber verzichtet; sie findet sich in Fraas/Haß-Zumkehr (1999), ferner auf der Homepage unter http://www.ids-mannheim.de/wiw. Vor dem Hintergrund dieses Projektes stehen die Bedingungen bzw. lexikografischen Konsequenzen des Mediums Hypertext im Unterschied zum Druck zur Diskussion.