Korpuslinguistik
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Für die spezifischen Bedürfnisse der Schreibbeobachtung wurde das Orthografische Kernkorpus (OKK) als virtuelles Korpus in DeReKo entwickelt. Mit derzeit rund 14 Mrd. Token deckt es den Schriftsprachgebrauch in den deutschsprachigen Ländern im Zeitraum von 1995 bis in die Gegenwart ab. Der Zugriff über die Korpusanalyseplattform KorAP erlaubt nicht nur die Nutzung verschiedener Annotationen, sondern über die API-Schnittstellen auch die Einbindung in diverse Auswertungsumgebungen wie RStudio über den RKorAPClient und macht es so für zahlreiche Analyse- und Visualisierungsmöglichkeiten zugänglich.
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.
Dieser Werkstattbericht zeigt anhand verschiedener korpusbasierter Ressourcen, wie Fragen zu sprachlichen Phänomenen, die für Sprachlernende nicht oder nur unzureichend dokumentiert sind, empirisch beantwortet werden können. Besonderes Augenmerk wird dabei auf OWIDplusLIVE gelegt. Hierbei handelt es sich um ein Werkzeug zur tagesaktuellen Analyse von Token (einzelne Wortformen/Lemmata) und Bi-/Trigrammen (zwei bzw. drei direkt aufeinander folgende Token). Über eine Anbindung an KorAP können zudem Belege aus dem DeReKo (Deutsches Referenzkorpus) abgerufen und analysiert werden.
The NottDeuYTSch corpus is a freely available collection of YouTube comments written under German-speaking videos by young people between 2008 and 2018. The article uses the NottDeuYTSch corpus to investigate how YouTube comments can be used to produce learning materials and how corpora of Digitally-Mediated Communication can benefit intermediate learners of German. The article details the effects of authentic communication within YouTube comments on teenage learners, examining how they can influence the psycholinguistic factors of motivation, foreign language anxiety, and willingness to communicate. The article also discusses the benefits and limitations of using authentic corpus material for the development of teaching material.
This paper introduces the Nottinghamer Korpus deutscher YouTube-Sprache (‘The Nottingham German YouTube Language Corpus’ - or NottDeuYTSch corpus). The corpus comprises over 33 million words, taken from roughly 3 million YouTube comments published between 2008 and 2018, written by a young, German-speaking demographic. The NottDeuYTSch corpus provides an authentic and representative linguistic snapshot of young German speakers and offers significant opportunities for in-depth research in several linguistic fields, such as lexis, morphology, syntax, orthography, multilingualism, and conversational and discursive analysis.
In many European languages, propositional arguments (PAs) can be realized as different types of structures. Cross-linguistically, complex structures with PAs show a systematic correlation between the strength of the semantic bond and the syntactic union (cf. Givón 2001; Wurmbrand/Lohninger 2023). Also, different languages show similarities with respect to the (lexical) licensing of different PAs (cf. Noonan 1985; Givón 2001; Cristofaro 2003 on different predicate types). However, on a more fine-grained level, a variation across languages can be observed both with respect to the syntactic-semantic properties of PAs as well as to their licensing and usage. This presentation takes a multi-contrastive view of different types of PAs as syntactic subjects and objects by looking at five European languages: EN, DE, IT, PL and HU. Our goal is to identify the parameters of variation in the clausal domain with PAs and by this to contribute to a better understanding of the individual language systems on the one hand and the nature of the linguistic variation in the clausal domain on the other hand. Phenomena and Methodology: We investigate the following types of PAs: direct object (DO) clauses (1), prepositional object (PO) clauses (2), subject clauses (3), and nominalizations (4, 5). Additionally, we discuss clause union phenomena (6, 7). The analyzed parameters include among others finiteness, linear position of the PA, (non) presence of a correlative element, (non) presence of a complementizer, lexical-semantic class of the embedding verb. The phenomena are analyzed based on corpus data (using mono- and multilingual corpora), experimental data (acceptability judgement surveys) or introspective data.
Speech islands are historically and developmentally unique and will inevitably disappear within the next decades. We urgently need to preserve their remains and exploit what is left in order to make research on language-in-contact and historical as well as current comparative language research possible.
The Archive for Spoken German (AGD) at the Institute for German Language collects, fosters and archives data from completed research projects and makes them available to the wider research community.
Besides large variation corpora and corpora of conversational speech, the archive already contains a range of collections of data on German speech minorities. The latter will be outlined in this chapter. Some speech island data is already made available through the personal service of the AGD, or the database of spoken German (DGD), e.g. data on Australian German, Unserdeutsch, or German in North America. Some corpora are still being prepared for publication, but still important to document for potentially interested research projects. We therefore also explain the current problems and efforts related to the curation of speech island data, from the digitization of recordings and the collection of metadata, to the integration of transcriptions, annotations and other ways of accessing and sharing data.
We introduce DeReKoGram, a novel frequency dataset containing lemma and part-of-speech (POS) information for 1-, 2-, and 3-grams from the German Reference Corpus. The dataset contains information based on a corpus of 43.2 billion tokens and is divided into 16 parts based on 16 corpus folds. We describe how the dataset was created and structured. By evaluating the distribution over the 16 folds, we show that it is possible to work with a subset of the folds in many use cases (e.g., to save computational resources). In a case study, we investigate the growth of vocabulary (as well as the number of hapax legomena) as an increasing number of folds are included in the analysis. We cross-combine this with the various cleaning stages of the dataset. We also give some guidance in the form of Python, R, and Stata markdown scripts on how to work with the resource.
Developments within the field of Second Language Acquisition (SLA) have meant that scholars are increasingly engaging with corpora and corpus-based resources, providing a source of “‘authentic’ language” to learners and educators (Mitchell 2020: 254), and contributing to “state-of-the-art research methodologies” (Deshors and Gries 2023: 164). However, there are areas in which progress can still be made, particularly in the area of metadata, such as information about the speaker and contexts of the language use, as well as increased variety in the text types and genres of corpora used to develop SLA materials (Paquot 2022: 36). This post discusses one such possibility for increasing the variety of text types and providing a rich source of authentic language that can be used to create engaging SLA materials, particularly for young people learning German, namely the use of the NottDeuYTSch corpus (to download the corpus in a variety of formats, see Cotgrove 2018).