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This article sketches the development of paronym dictionaries in German. These dictionaries document and describe commonly confused words which cause uncertainties because they are similar in sound, spelling and/or meaning (e.g. effektiv/effizient, sportlich/sportiv). First, an overview of existing reference guides is provided, covering different traditions. Numerous lemma lists have been collected for pedagogical purposes and there has always been an interest in the lexicological treatment of paronyms. However, only a handful of dictionaries covering commonly confused pairs and a small number of genuine paronym dictionaries have ever been compiled. I will focus on lexicographic endeavours, including Wustmann (1891), Müller (1973) and Pollmann and Wolk (2001). Secondly, I will shed light on the differences in descriptions in these dictionaries. This includes how prescriptive approaches have been replaced over time by empirical descriptive accounts and how dictionaries have moved away from restricted, static hardback editions towards dynamic e-dictionaries. Finally, an e-dictionary, “Paronyme — Dynamisch im Kontrast”, is presented with contrastive and flexible two-level consultation views. Its three key elements are its corpus-based foundation, the implementation of meta-lexicographic requirements and a consideration of users’ interests. This dictionary has implemented a user-friendly and dynamic interface and it records conventionalized patterns and preferences in authentic communication.
There is a growing interest in pedagogical lexicography, and more specifically in the study of dictionary users’ abilities and strategies (Prichard 2008; Gavriilidou 2010, 2011; Gavriilidou/Mavrommatidou/Markos 2020; Gavriilidou/Konstantinidou 2021; Chatjipapa et al. 2020). Τhe purpose of this presentation is to investigate dictionary use strategy and the effect of an explicit and integrated dictionary awareness intervention program on upper elementary pupils’ dictionary use strategies according to gender and type of school. A total of 150 students from mainstream and intercultural schools, aged 10–12 years old, participated in the study. Data were collected before and after the intervention through the Strategy Inventory for Dictionary Use (SIDU) (Gavriilidou 2013). The results showed a significant effect of the intervention program on Dictionary Use Strategies employed by the experimental group and support the claim that increased dictionary use can be the outcome of explicit strategy instruction. In addition, the effective application of the program suggests that a direct and clear presentation of DUS is likely to be more successful than an implicit presentation. The present study contributes to the discussion concerning both the ‘teachability’ of dictionary use strategies and skills and the effective forms of intervention programs raising dictionary use awareness and culture.
Lexicographers working with minority languages face many challenges. When the language in question is also a sign language, circumstances specific to the visual-spatial modality have to be taken into consideration as well. In this paper, we aim to show and discuss which challenges we encounter while compiling the Digitales Wörterbuch der Deutschen Gebärdensprache (DW-DGS), the first corpus-based dictionary of German Sign Language (DGS). Some parallel the challenges minority language lexicographers of spoken languages encounter, e. g. few resources, no written tradition, and having to create one dictionary for all potential user groups, while others are specific to sign languages, e. g. representation of visual-spatial language and creating access structures for the dictionary.
Lexical data API
(2022)
This API provides data from various dictionary resources of K Dictionaries across 50 languages. It is used by language service providers, app developers, and researchers, and returns data as JSON documents. A basic search result consists of an object containing partial lexical information on entries that match the search criteria, but further in-depth information is also available. Basic search parameters include the source resource, source language, and text (lemma), and the entries are returned as objects within the results array. It is possible to look for words with specific syntactic criteria, specifying the part of speech, grammatical number, gender and subcategorization, monosemous or polysemous entries. When searching by parameters, each entry result contains a unique entry ID, and each sense has its own unique sense ID. Using these IDs, it is possible to obtain more data – such as syntactic and semantic information, multiword expressions, examples of usage, translations, etc. – of a single entry or sense. The software demonstration includes a brief overview of the API with practical examples of its operation.
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.
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.
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.
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.