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In this article, we provide an insight into the development and application of a corpus-lexicographic tool for finding neologisms that are not yet listed in German dictionaries. As a starting point, we used the words listed in a glossary of German neologisms surrounding the COVID-19 pandemic. These words are lemma candidates for a new dictionary on COVID-19 discourse in German. They also provided the database used to develop and test the NeoRate tool. We report on the lexicographic work in our dictionary project, the design and functionalities of NeoRate, and describe the first test results with the tool, in particular with regard to previously unregistered words. Finally, we discuss further development of the tool and its possible applications.
Unter Neologismen finden sich bedeutungsgleiche Ausdrücke (im weitesten Sinne Synonyme), die unter bestimmten Bedingungen sprachliche Unsicherheiten hervorrufen. Das liegt u. a. an ihrer semantisch-konzeptuellen Ähnlichkeit, an nicht abgeschlossenen Lexikalisierungsprozessen, aber es treten auch Zweifel auf, weil es Unterschiede zwischen der Allgemein- und der Fachsprache gibt. Für einige Neologismen ist es auch charakteristisch, dass mehrere morphologische Varianten gleichzeitig in den Wortschatz eintreten, sodass nicht immer klar ist, wann welche präferiert werden. Dass all diese Ausdrücke lexikalischem Wettbewerb und situationsgebundenen Gebrauchsbedingungen ausgesetzt sind und dass sie zu Zweifel führen können, wird in Onlineforen sichtbar. Dieser Beitrag beschäftigt sich mit der Frage, wie solche Paare/Gruppen korpusgestützt semantisch analysiert und wie sie in deskriptiven Wörterbüchern angemessen beschrieben werden können, um sowohl Gemeinsamkeiten als auch Unterschiede für Nachschlagende sichtbar zu machen. Dazu werden konkrete Beispiele und ein gegenüberstellendes Wörterbuchdarstellungsformat für neologistische Synonyme vorgeschlagen.
OWID und OWIDplus – lexikographisch-lexikologische Online-Informationssysteme des IDS Mannheim
(2023)
Lexikographische und lexikalische Ressourcen zum Deutschen werden an vielen unterschiedlichen Institutionen erarbeitet, z. B. an Akademien der Wissenschaften oder in privatwirtschaftlichen Verlagen. Auch am Leibniz-Institut für Deutsche Sprache (IDS) in Mannheim werden solche Materialien erstellt und der (Fach-)Öffentlichkeit unter dem Dach von OWID, dem „Online-Wortschatz-Informationssystem Deutsch“ (owid.de), präsentiert.
In a recent article, Meylan and Griffiths (Meylan & Griffiths, 2021, henceforth, M&G) focus their attention on the significant methodological challenges that can arise when using large-scale linguistic corpora. To this end, M&G revisit a well-known result of Piantadosi, Tily, and Gibson (2011, henceforth, PT&G) who argue that average information content is a better predictor of word length than word frequency. We applaud M&G who conducted a very important study that should be read by any researcher interested in working with large-scale corpora. The fact that M&G mostly failed to find clear evidence in favor of PT&G's main finding motivated us to test PT&G's idea on a subset of the largest archive of German language texts designed for linguistic research, the German Reference Corpus consisting of ∼43 billion words. We only find very little support for the primary data point reported by PT&G.
Gesprochene Lernerkorpora: Methodisch-technische Aspekte der Erhebung, Erschließung und Nutzung
(2022)
This article provides an overview of methodological and technical issues that arise in the collection, indexing and use of spoken learner corpora, i. e. corpora containing spoken utterances of learners of a target language. After an introductory discussion of the most important special features of this type of corpus that distinguish it from written language learner corpora and spoken corpora with L1 speakers, we will go into more detail on questions of corpus design. The main part of the paper is then an overview of the methodological and technical procedures of the individual steps of collecting, indexing, providing and using spoken learner corpora. The main aim of this overview is to highlight practices that can be considered best practices according to the current state of research. Finally, we outline the challenges that still exist for this type of corpus.
This paper investigates the long-term diachronic development of the perfect and preterite tenses in German and provides a novel analysis by supplementing Reichenbach’s (1947) classical theory of tense by the notion of underspecification. Based on a newly compiled parallel corpus spanning the entire documented history of German, we show that the development in question is cyclic: It starts out with only one tense form (preterite) compatible with both current relevance and narrative past readings in (early) Old High German and, via three intermediate stages, arrives at only one tense form again (perfect) compatible with the same readings in modern Upper German dialects. We propose that in order to capture all attested stages we must allow tenses to be unspecified for R (reference time), with R merely being inferred pragmatically. We then propose that the transitions between the different stages can be explained by the interplay between semantics and pragmatics.
In this paper, we present an overview of freely available web applications providing online access to spoken language corpora. We explore and discuss various solutions with which the corpus providers and corpus platform developers address the needs of researchers who are working with spoken language. The paper aims to contribute to the long-overdue exchange and discussion of methods and best practices in the design of online access to spoken language corpora.
This paper investigates the use of linking adverbs in adversative constructions in German and Italian. In Italian those constructions are very frequently formulated with adverbs such as invece, while wordings without a lexical connective are more typical of German. Corpus data show that the syntactic und semantic conditions favouring the use of adversative adverbs are by and large the same in both languages. Lexical connectives can increase explicitness when the intended adversative interpretation is not obvious on other grounds. The higher frequency of adversative adverbs in Italian is shown to be a consequence of the more restrictive rules of the placement of prosodic accent.
Are borrowed neologisms accepted more slowly into the German language than German words resulting from the application of wrd formation rules? This study addresses this question by focusing on two possible indicators for the acceptance of neologisms: a) frequency development of 239 German neologisms from the 1990s (loanwords as well as new words resulting from the application of word formation rules) in the German reference corpus DEREKO and b) frequency development in the use of pragmatic markers (‘flags’, namely quotation marks and phrases such as sogenannt ‘so-called’) with these words. In the second part of the article, a psycholinguistic approach to evaluating the (psychological) status of different neologisms and non-words in an experimentally controlled study and plans to carry out interviews in a field test to collect speakers’ opinions on the acceptance of the analysed neologisms are outlined. Finally, implications for the lexicographic treatment of both types of neologisms are discussed.
Distributional models of word use constitute an indispensable tool in corpus based lexicological research for discovering paradigmatic relations and syntagmatic patterns (Belica et al. 2010). Recently, word embeddings (Mikolov et al. 2013) have revived the field by allowing to construct and analyze distributional models on very large corpora. This is accomplished by reducing the very high dimensionality of word cooccurrence contexts, the size of the vocabulary, to few dimensions, such as 100-200. However, word use and meaning can vary widely along dimensions such as domain, register, and time, and word embeddings tend to represent only the most prevalent meaning. In this paper we thus construct domain specific word embeddings to allow for systematically analyzing variations in word use. Moreover, we also demonstrate how to reconstruct domain specific co-occurrence contexts from the dense word embeddings.