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In diesem Beitrag werden Komposita mit den relationalen Zweitgliedern Gatte und Gattin aus genderlinguistischer Perspektive untersucht, basierend auf manuell annotiertem zeitungssprachlichen Korpusmaterial. Frauen werden im analysierten Korpus ca. 12-mal häufiger in ihrer ehelichen Rolle versprachlicht als Männer. Statistische Analysen zeigen, dass sie dabei systematisch in ein possessives Verhältnis zum Ehemann gesetzt werden (Arztgattin = Gattin eines Arztes), während Ehemänner in den untersuchten Komposita tendenziell doppelt individualisiert werden (Arztgatte = Gatte, der Arzt ist). Neben den Zweitgliedern geben auch die Genera der beiden Konstituenten Aufschluss über die kodierte Bedeutungsrelation: Genusgleichheit (Kanzlergatte) führt zu einer qualifizierenden, Genusdivergenz (Kanzleringatte) zu einer possessiven Lesart. Die Analyse belegt außerdem die Existenz movierter Kompositumserstglieder – diese sind sogar die häufigste Form zur Benennung weiblicher Personen im Erstglied. Trotzdem herrscht bei der Bezugnahme auf Frauen eine größere Formenvarianz als bei Männern, welche fast ausschließlich mit maskulinen Erstgliedern versprachlicht werden. Damit zeigt die Studie, wie genderlinguistische Perspektiven auch im Bereich der Wortbildung einen neuen Analysezugang bilden.
This contribution explores the relationship between the English CEFR (Common European Framework of Reference for Languages) vocabulary levels and user interest in English Wiktionary entries. User interest was operationalized through the number of views of these entries in Wikimedia server logs covering a period of four years (2019–2022). Our findings reveal a significant relationship between CEFR levels and user interest: entries classified at lower CEFR levels tend to attract more views, which suggests a greater user interest in more basic vocabulary. A multiple regression model controlling for other known or potential factors affecting interest: corpus frequency, polysemy, word prevalence, and age of acquisition confirmed that lower CEFR levels attract significantly more views even after taking into account the other predictors. These findings highlight the importance of CEFR levels in predicting which words users are likely to look up, with implications for lexicography and the development of language learning materials.
Funktionsverbgefüge stehen seit jeher in der Sprachkritik, die sich nun auch auf digitale Räume ausbreitet. Vertreten wird dort die These, Funktionsverbgefüge und ihre entsprechenden Basisverben seien äquivalent und könnten in allen Kontexten durch die verbalen Entsprechungen ersetzt werden. Dies kann durch die vorliegende korpusbasierte und textlinguistische Studie am Beispiel des Gefüges Frage stellen widerlegt werden. Anhand eines extensiven Datenmaterials aus den Wikipedia-Artikel-Korpora des IDS zeige ich die semantischen, grammatischen und textlinguistischen Unterschiede zwischen dem Basisverb und dem Funktionsverbgefüge im Gebrauch auf, die sich in der Anreicherung, Verdichtung, Perspektivierung, Gewichtung und Wiederaufnahme von Informationen im Text manifestieren.
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.
It is well known that the distribution of lexical and grammatical patterns is size- and register-sensitive (Biber 1986, and later publications). This fact alone presents a challenge to many corpus-oriented linguistic studies focusing on a single language. When it comes to cross-linguistic studies using corpora, the challenge becomes even greater due to the lack of high-quality multilingual corpora (Kupietz et al. 2020; Kupietz/Trawiński 2022), which are comparable with respect to the size and the register. That was the motivation for the creation of the European Reference Corpus EuReCo, an initiative started in 2013 at the Leibniz Institute for the German Language (IDS) together with several European partners (Kupietz et al. 2020). EuReCo is an emerging federated corpus, with large virtual comparable corpora across various languages and with an infrastructure supporting contrastive research. The core of the infrastructure is KorAP (Diewald et al. 2016), a scalable open-source platform supporting the analysis and visualisation of properties of texts annotated by multiple and potentially conflicting information layers, and supporting several corpus query languages. Until recently, EuReCo consisted of three monolingual subparts: the German Reference Corpus DeReKo (Kupietz et al. 2018), the Reference Corpus of Contemporary Romanian Language (Barbu Mititelu/Tufiş/Irimia 2018), and the Hungarian National Corpus (Váradi 2002). The goal of the present submission is twofold. On the one hand, it reports about the new component of EuReCo: a sample of the National Corpus of Polish (Przepiórkowski et al. 2010). On the other hand, it presents the results of a new pilot study using the newly extended EuReCo. This pilot study investigates selected Polish collocations involving light verbs and their prepositional / nominal complements (Fig. 1) and extends the collocation analyses of German, Romanian and Hungarian (Fig. 2) discussed in Kupietz/Trawiński (2022).
In many countries of the world, perspectives on gender equality and racism have changed in recent decades. One result has been more attention being devoted to traces of androcentric and racist language in society. This also affects dictionaries. In lexicography there are discussions about whether or to what extent social asymmetries are inscribed in dictionaries and if this is still acceptable. The issue of the nature of description plays an important role in this discussion. If sexist usages are often found in language use, i.e. in the corpus data on which the dictionary is based, does the dictionary also have to show them? How is this, in turn, compatible with the normative power of dictionaries? Do dictionaries contribute to the perpetuation of gender stereotypes by showcasing them under the banner of descriptive principles? And what roles do lexicographers play in this process? The article deals with these questions on the basis of individual lexicographical examples and current discussions in the lexicographic and public community.
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.
Poster des Text+ Partners Leibniz-Institut für Deutsche Sprache Mannheim präsentiert beim Workshop "Wohin damit? Storing and reusing my language data" am 22. Juni 2023 in Mannheim. Das Poster wurde im Kontext der Arbeit des Vereins Nationale Forschungsdateninfrastruktur (NFDI) e.V. verfasst. NFDI wird von der Bundesrepublik Deutschland und den 16 Bundesländern finanziert, und das Konsortium Text+ wird gefördert durch die Deutsche Forschungsgemeinschaft (DFG) – Projektnummer 460033370. Die Autor:innen bedanken sich für die Förderung sowie Unterstützung. Ein Dank geht außerdem an alle Einrichtungen und Akteur:innen, die sich für den Verein und dessen Ziele engagieren.
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.
Computational language models (LMs), most notably exemplified by the widespread success of OpenAI's ChatGPT chatbot, show impressive performance on a wide range of linguistic tasks, thus providing cognitive science and linguistics with a computational working model to empirically study different aspects of human language. Here, we use LMs to test the hypothesis that languages with more speakers tend to be easier to learn. In two experiments, we train several LMs—ranging from very simple n-gram models to state-of-the-art deep neural networks—on written cross-linguistic corpus data covering 1293 different languages and statistically estimate learning difficulty. Using a variety of quantitative methods and machine learning techniques to account for phylogenetic relatedness and geographical proximity of languages, we show that there is robust evidence for a relationship between learning difficulty and speaker population size. However, contrary to expectations derived from previous research, our results suggest that languages with more speakers tend to be harder to learn.
For many reasons, Mennonite Low German is a language whose documentation and investigation is of great importance for linguistics. To date, most research projects that deal with this language and/ or its speakers have had a relatively narrow focus, with many of the data cited being of limited relevance beyond the projects for which they were collected. In order to create a resource for a broad range of researchers, especially those working on Mennonite Low German, the dataset presented here has been transformed into a structured and searchable corpus that is accessible online. The translations of 46 English, Spanish, or Portuguese stimulus sentences into Mennonite Low German by 321 consultants form the core of the MEND-corpus (Mennonite Low German in North and South America) in the Archive for Spoken German. In addition to describing the origin of this corpus and discussing possibilities and limitations for further research, we discuss the technical structure and search possibilities of the Database for Spoken German. Among other things, this database allows for a structured search of metadata, a context-sensitive token search, and the generation of virtual corpora that can be shared with others. Moreover, thanks to its text-sound alignment, one can easily switch from a particular text section of the corpus to the corresponding audio section. Aside from the desire to equip the reader with the technical knowledge necessary to use this corpus, a further goal of this paper is to demonstrate that the corpus still offers many possibilities for future research.
We present a collection of (currently) about 5.500 commands directed to voice-controlled virtual assistants (VAs) by sixteen initial users of a VA system in their homes. The collection comprises recordings captured by the VA itself and with a conditional voice recorder (CVR) selectively capturing recordings including the VA-directed commands plus some surrounding context. Next to a description of the collection, we present initial findings on the patterns of use of the VA systems during the first weeks after installation, including usage timing, the development of usage frequency, distributions of sentence structures across commands, and (the development of) command success rates. We discuss the advantages and disadvantages of the applied collection-specific recording approach and describe potential research questions that can be investigated in the future, based on the collection, as well as the merit of combining quantitative corpus linguistic approaches with qualitative in-depth analyses of single cases.
Linguistische Studien arbeiten häufig mit einer Differenzierung zwischen gesprochener und geschriebener Sprache bzw. zwischen Kommunikation der Nähe und Distanz. Die Annahme eines Kontinuums zwischen diesen Polen bietet sich für eine Verortung unterschiedlichster Äußerungsformen an, inklusive unkonventioneller Textsorten wie etwa Popsongs. Wir konzipieren, implementieren und evaluieren ein automatisiertes Verfahren, das mithilfe unkorrelierter Entscheidungsbäume entsprechende Vorhersagen auf Textebene durchführt. Für die Identifizierung der Pole definieren wir einen Merkmalskatalog aus Sprachphänomenen, die als Markierer für Nähe/Mündlichkeit bzw. Distanz/Schriftlichkeit diskutiert werden, und wenden diesen auf prototypische Nähe-/Mündlichkeitstexte sowie prototypische Distanz-/Schrifttexte an. Basierend auf der sehr guten Klassifikationsgüte verorten wir anschließend eine Reihe weiterer Textsorten mithilfe der trainierten Klassifikatoren. Dabei erscheinen Popsongs als „mittige Textsorte“, die linguistisch motivierte Merkmale unterschiedlicher Kontinuumsstufen vereint. Weiterhin weisen wir nach, dass unsere Modelle mündlich kommunizierte, aber vorab oder nachträglich verschriftlichte Äußerungen wie Reden oder Interviews vollkommen anders verorten als prototypische Gesprächsdaten und decken Klassifikationsunterschiede für Social-Media-Varianten auf. Ziel ist dabei nicht eine systematisch-verbindliche Einordung im Kontinuum, sondern eine empirische Annäherung an die Frage, welche maschinell vergleichsweise einfach bestimmbaren Merkmale („shallow features“) nachweisbar Einfluss auf die Verortung haben.
"Das im Januar 2022 gestartete Projekt "Sprachanfragen" (https://www.ids-mannheim.de/gra/projekte2/sprachanfragen/) verfolgt erstmalig das Ziel, Sprachanfragedaten zu erfassen, aufzubereiten und ein wissenschaftsöffentliches Monitorkorpus aus ihnen zu erstellen. Dazukommend wird eine Rechercheschnittstelle entwickelt, mit der die Sprachanfragen systematisch wissenschaftlich analysierbar gemacht werden. Das Poster gibt einen Überblick über das Projekt, zeigt erste Ergebnisse und bietet einen Ausblick auf Überlegungen zur Konzeption eines Chatbots zur automatisierten Beantwortung von Sprachanfragen." Ein Beitrag zur 9. Tagung des Verbands "Digital Humanities im deutschsprachigen Raum" - DHd 2023 Open Humanities Open Culture.
This paper presents an extended annotation and analysis of interpretative reply relations focusing on a comparison of reply relation types and targets between conflictual pages and neutral pages of German Wikipedia (WP) talk pages. We briefly present the different categories identified for interpretative reply relations to analyze the relationship between WP postings as well as linguistic cues for each category. We investigate referencing strategies of WP authors in discussion page postings, illustrated by means of reply relation types and targets taking into account the degree of disagreement displayed on a WP talk page. We provide richly annotated data that can be used for further analyses such as the identification of interactional relations on higher levels, or for training tasks in machine learning algorithms.
This paper describes general requirements for evaluating and documenting NLP tools with a focus on morphological analysers and the design of a Gold Standard. It is argued that any evaluation must be measurable and documentation thereof must be made accessible for any user of the tool. The documentation must be of a kind that it enables the user to compare different tools offering the same service, hence the descriptions must contain measurable values. A Gold Standard presents a vital part of any measurable evaluation process, therefore, the corpus-based design of a Gold Standard, its creation and problems that occur are reported upon here. Our project concentrates on SMOR, a morphological analyser for German that is to be offered as a web-service. We not only utilize this analyser for designing the Gold Standard, but also evaluate the tool itself at the same time. Note that the project is ongoing, therefore, we cannot present final results.
Corpus-based identification and disambiguation of reading indicators for German nominalizations
(2010)
Corpus data is often structurally and lexically ambiguous; corpus extraction methodologies thus must be made aware of ambiguities. Therefore, given an extraction task, all relevant ambiguities must be identified. To resolve these ambiguities, contextual data responsible for one or another reading is to be considered. In the context of our present work, German -ung-nominalizations and their sortal readings are under examination. A number of these nominalizations may be read as an event or a result, depending on the semantic group they belong to. Here, we concentrate on nominalizations of verbs of saying (henceforth: "verba dicendi"), identify their context partners and their influence on the sortal reading of the nominalizations in question. We present a tool which calculates the sortal reading of such nominalizations and thus may improve not only corpus extraction, but also e.g. machine translation. Lastly, we describe successful attempts to identify the correct sortal reading, conclusions and future work.
This paper analyses intensification in German digitally-mediated communication (DMC) using a corpus of YouTube comments written by young people (the NottDeuYTSch corpus). Research on intensification in written language has traditionally focused on two grammatical aspects: syntactic intensification, i.e. the use of particles and other lexical items and morphological intensification, i.e. the use of compounding. Using a wide variety og examples from the corpus, the paper identifies novel ways that have been used for intensification in DMC, and suggests a new taxonomy of classification for future analysis of intensification.
Als Teil der NFDI vernetzt Text+ ortsverteilt verschiedenste Daten und Dienste für die geisteswissenschaftliche Forschung und stellt sie der wissenschaftlichen Gemeinschaft FAIR zur Verfügung. In diesem Beitrag beschreiben wir die Umsetzung beispielhaft im Bereich der Text+ Datendomäne Sammlungen anhand von Korpora, die in verschiedenen Disziplinen Verwendung finden. Die Infrastruktur ist auf Erweiterbarkeit ausgelegt, so dass auch weitere Ressourcen über Text+ verfügbar gemacht werden können. Enthalten ist auch ein Ausblick auf weitere zu erwartende Entwicklungen. Ein Beitrag zur 9. Tagung des Verbands "Digital Humanities im deutschsprachigen Raum" - DHd 2023 Open Humanities Open Culture.
One of the fundamental questions about human language is whether all languages are equally complex. Here, we approach this question from an information-theoretic perspective. We present a large scale quantitative cross-linguistic analysis of written language by training a language model on more than 6500 different documents as represented in 41 multilingual text collections consisting of ~ 3.5 billion words or ~ 9.0 billion characters and covering 2069 different languages that are spoken as a native language by more than 90% of the world population. We statistically infer the entropy of each language model as an index of what we call average prediction complexity. We compare complexity rankings across corpora and show that a language that tends to be more complex than another language in one corpus also tends to be more complex in another corpus. In addition, we show that speaker population size predicts entropy. We argue that both results constitute evidence against the equi-complexity hypothesis from an information-theoretic perspective.
Die Darstellung von und Arbeit mit Transkripten spielt in vielen forschungs- und anwendungsbezogenen Arbeiten mit Daten gesprochener Sprache eine wichtige Rolle. Der im ZuMult-Projekt entwickelte Prototyp ZuViel (Zugang zu Visualisierung von Transkripten) knüpft an etablierte Verfahren zur Transkriptdarstellung an und erweitert diese durch neue Möglichkeiten des interaktiven Arbeitens mit Transkripten im digitalen Medium. Der Beitrag führt in diese neuen Möglichkeiten ein und erklärt, wie sie in didaktischen DaF/DaZ-Kontexten aber auch hinsichtlich forschungsbezogener Perspektiven angewendet werden können
Im vorliegenden Artikel wird ein Überblick über das von der DFG geförderte Projekt Zugänge zu multimodalen Korpora gesprochener Sprache – Vernetzung und zielgruppenspezifische Ausdifferenzierung (ZuMult) gegeben. Dabei wird zunächst auf die Sprachdaten und auf die technische Basis der Applikationen eingegangen, die dem Projekt zugrunde liegen. Im Anschluss werden die weiteren Beiträge in diesem Themenheft von KorDaF kurz vorgestellt. Übergeordnetes Thema von ZuMult ist die Verbesserung der Zugänglichkeit von digitalen mündlichen Sprachdaten für verschiedene Anwendungen und Zielgruppen, wobei der Fokus dieses Themenhefts auf Applikationen und Anwender:innen aus der Fremdsprachendidaktik und der DaF-/DaZ-Forschung und -Lehre liegt. Die einzelnen Beiträge beleuchten zentrale methodische und/oder technische Aspekte dieses Themas und beschreiben die Architektur und verschiedene prototypische Anwendungen, die das Projekt entwickelt hat.
Das Forschungs- und Lehrkorpus für GesprochenesDeutsch (FOLK) ist ein Korpus des gesprochenen Deutsch in natürlichen sozialen Interaktionen, das seit 2008 in der Abteilung Pragmatik am Leibniz-Institut für Deutsche Sprache in Mannheim aufgebaut wird. FOLK besteht aus Audio- und Videoaufzeichnungen natürlicher Gespräche aus verschiedensten gesellschaftlichen Bereichen (private, institutionelle und öffentliche Interaktionsdomäne), die durch Transkription, weitere Annotationen und Metadaten-Dokumentation für korpusgestützte Analysen erschlossen und zur wissenschaftlichen Nutzung bereitgestellt werden. FOLK wird auf vielfältige Weise für Untersuchungen zum gesprochenen Deutsch genutzt, insbesondere in der Gesprächsforschung, der Korpuslinguistik und anwendungsorientierten Zweigen der Linguistik.
Projektvorstellung – Redewiedergabe. Eine literatur- und sprachwissenschaftliche Korpusanalyse
(2018)
Das laufende DFG-Projekt „Redewiedergabe“ stellt einen Anwendungsfall quantitativer Sprach-und Literaturwissenschaft dar und beschäftigt sich mit dem Phänomen „Redewiedergabe“ auf der Grundlage großer Datenmengen. Zu diesem Zweck wird zum einen ein Korpus manuell mit Redewiedergabeformen annotiert, zum anderen werden Verfahren zur automatischen Erkennung des Phänomens entwickelt. Ziel ist es, Forschungsfragen nach der Entwicklung von Redewiedergabe vor allem im 19. Jahrhundert zu beantworten.
ZuRecht steht für Zugang zur Recherche in Transkripten. Es handelt sich um eine prototypische Implementierung einer webbasierten grafischen Benutzeroberfläche, welche Zugriff auf Transkripte gesprochener Sprache aus dem Archiv für Gesprochenes Deutsch (AGD) des Leibniz-Instituts für Deutsche Sprache (IDS) bietet. Der Zugriff erfolgt über die neue, im Projekt „ZuMult“ entwickelte Schnittstelle zur Suche in mündlichen Korpora. ZuRecht dient einerseits der Demonstration der Möglichkeiten der neuen Schnittstelle, indem es komplexe Suchanfragen mit der speziell für die Korpusrecherche entwickelten Anfragesprache CQP auf Transkriptionen gesprochener Sprache erlaubt. Andererseits kommt ZuRecht als Erweiterung der Datenbank für Gesprochenes Deutsch (DGD) zum Einsatz und eröffnet den DGD-Nutzer:innen viele neue Forschungsmöglichkeiten, insbesondere auf den Gebieten der Gesprächsanalyse und der DaF/DaZ-bezogenen Forschung. Im Beitrag werden die Funktionalitäten von ZuRecht ausführlich vorgestellt und ihre Einsatzmöglichkeiten in den genannten Disziplinen exemplarisch vorgeführt.
Neologisms, i.e., new words or meanings, are finding their way into everyday language use all the time. In the process, already existing elements of a language are recombined or linguistic material from other languages is borrowed. But are borrowed neologisms accepted similarly well by the speech community as neologisms that were formed from “native” material? We investigate this question based on neologisms in German. Building on the corresponding results of a corpus study, we test the hypothesis of whether “native” neologisms are more readily accepted than those borrowed from English. To do so, we use a psycholinguistic experimental paradigm that allows us to estimate the degree of uncertainty of the participants based on the mouse trajectories of their responses. Unexpectedly, our results suggest that the neologisms borrowed from English are accepted more frequently, more quickly, and more easily than the “native” ones. These effects, however, are restricted to people born after 1980, the so-called millenials. We propose potential explanations for this mismatch between corpus results and experimental data and argue, among other things, for a reinterpretation of previous corpus studies.
Following the successes of the ninth conference in 2022 held in the wonderful Santiago de Compostela, Spain, we are pleased to present the proceedings of the 10th edition of International Conference on CMC and Social Media Corpora for the Humanities (CMC-2023). The focal point of
the conference is to investigate the collection, annotation, processing, and analysis of corpora of computer-mediated communication (CMC) and social media.
Our goal is to serve as the meeting place for a wide variety of language-oriented investigations into CMC and social media from the fields of linguistics, philology, communication sciences, media
studies, and social sciences, as well as corpus and computational linguistics, language technology, textual technology, and machine learning.
This year’s event is the largest so far with 45 accepted submissions: 32 papers and 13 poster presentations, each of which were reviewed by members of our ever-growing scientific committee. The contributions were presented in five sessions of two or three streams, and a single poster session. The talks in these proceedings cover a wide range of topics, including the corpora construction, digital identities, digital knowledge-building, digitally-mediated interaction, features
of digitally-mediated communication, and multimodality in digital spaces.
As part of the conference, we were delighted to include two invited talks: an international keynote speech by Unn Røyneland from the University of Oslo, Norway, on the practices and perceptions of
researching dialect writing in social media, and a national keynote speech by Tatjana Scheffler from the Ruhr-University of Bochum on analysing individual linguistic variability in social media and
constructing corpora from this data. Additionally, participants could take part in a workshop on processing audio data for corpus linguistic analysis. This volume contains abstracts of the invited talks, short papers of oral presentations, and abstracts of posters presented at the conference.
This paper reports on recent developments within the European Reference Corpus EuReCo, an open initiative that aims at providing and using virtual and dynamically definable comparable corpora based on existing national, reference or other large corpora. Given the well-known shortcomings of other types of multilingual corpora such as parallel/translation corpora (shining-through effects, over-normalization, simplification, etc.) or web-based comparable corpora (covering only web material), EuReCo provides a unique linguistic resource offering new perspectives for fine-grained contrastive research on authentic cross-linguistic data, applications in translation studies and foreign language teaching and learning.
The 12th Web as Corpus workshop (WAC-XII) looks at the past, present, and future of web corpora given the fact that large web corpora are nowadays provided mostly by a few major initiatives and companies, and the diversity of the early years appears to have faded slightly. Also, we acknowledge the fact that alternative sources of data (such as data from Twitter and similar platforms) have emerged, some of them only available to large companies and their affiliates, such as linguistic data from social media and other forms of the deep web. At the same time, gathering interesting and relevant web data (web crawling) is becoming an ever more intricate task as the nature of the data offered on the web changes (for example the death of forums in favour of more closed platforms).
Der vorliegende Beitrag vergleicht die Verwendung der anglizistischen Nomination old school und der nativen Entsprechung Alte Schule im Hip-Hop-Subkorpus des Songkorpus (Schneider 2020). Dieser Vergleich erfolgt auf zwei Ebenen: Zum einen wird die diskurs-spezifische Verwendung anhand eines adaptierten Analyse-Frameworks für Hip-Hop-Texte von Androutsopoulos und Scholz (2002) untersucht, zum anderen wird der syntaktische und morphologische Gebrauch in den Deutschraptexten analysiert. Dabei zeigt sich, dass es jeweils spezifische Verwendungstendenzen auf diskursiver Ebene gibt, die wesentlichsten Unterschiede aber in der syntaktischen und morphologischen Verwendung auftreten, allen voran in der höheren Produktivität der anglizistischen Nomination. Es wird dafür argumentiert, dass sich dies unter anderem auf sprachstrukturelle bzw. wortformale Spezifika des Englischen zurückführen lässt, wie den nicht vorhandenen Flexionssuffixen der Adjektive. Damit werden die in der Anglizismenforschung etablierten Überlegungen zu Verwendungsgründen um eine simple, aber gegebenenfalls folgenreiche Beobachtung ergänzt, die sich vor allem bei den sprachökonomischen Ansätzen einordnen lässt. Schließlich wird darüber auf diskursiver Ebene wiederum auch ein Bezug zu terminologischen Vorteilen hergeleitet: Trotz flexibler Verwendung wird das schriftliche Abbild bei Wortbildungen geschont (Oldschoolstyle, Oldschool-Aufnahmen, Oldschooler), was für die Wiedererkennbarkeit des Diskurselements – neben der zusätzlichen Auszeichnung durch die Eigenschaft ‚fremdsprachig‘ – zuträglich sein könnte.
We investigate the optional omission of the infinitival marker in a Swedish future tense construction. During the last two decades the frequency of omission has been rapidly increasing, and this process has received considerable attention in the literature. We test whether the knowledge which has been accumulated can yield accurate predictions of language variation and change. We extracted all occurrences of the construction from a very large collection of corpora. The dataset was automatically annotated with language-internal predictors which have previously been shown or hypothesized to affect the variation. We trained several models in order to make two kinds of predictions: whether the marker will be omitted in a specific utterance and how large the proportion of omissions will be for a given time period. For most of the approaches we tried, we were not able to achieve a better-than-baseline performance. The only exception was predicting the proportion of omissions using autoregressive integrated moving average models for one-step-ahead forecast, and in this case time was the only predictor that mattered. Our data suggest that most of the language-internal predictors do have some effect on the variation, but the effect is not strong enough to yield reliable predictions.
We report on a new project building a Natural Language Processing resource for Zulu by making use of resources already available. Combining tagging results with the results of morphological analysis semi-automatically, we expect to reduce the amount of manual work when generating a finely-grained gold standard corpus usable for training a tagger. From the tagged corpus, we plan to extract verb-argument pairs with the aim of compiling a verb valency lexicon for Zulu.
So far, Sepedi negations have been considered more from the point of view of lexicographical treatment. Theoretical works on Sepedi have been used for this purpose, setting as an objective a neat description of these negations in a (paper) dictionary. This paper is from a different perspective: instead of theoretical works, corpus linguistic methods are used: (1) a Sepedi corpus is examined on the basis of existing descriptions of the occurrences of a relevant verb, looking at its negated forms from a purely prescriptive point of view; (2) a "corpus-driven" strategy is employed, looking only for sequences of negation particles (or morphemes) in order to list occurring constructions, without taking into account the verbs occurring in them, apart from their endings. The approach in (2) is only intended to show a possible methodology to extend existing theories on occurring negations. We would also like to try to help lexicographers to establish a frequency-based order of entries of possible negation forms in their dictionaries by showing them the number of respective occurrences. As with all corpus linguistic work, however, we must regard corpus evidence not as representative, but as tendencies of language use that can be detected and described. This is especially true for Sepedi, for which only few and small corpora exist. This paper also describes the resources and tools used to create the necessary corpus and also how it was annotated with part of speech and lemmas. Exploring the quality of available Sepedi part-of-speech taggers concerning verbs, negation morphemes and subject concords may be a positive side result.
This paper describes the application of probabilistic part of speech taggers to the Dzongkha language. A tag set containing 66 tags is designed, which is based on the Penn Treebank. A training corpus of 40,247 tokens is utilized to train the model. Using the lexicon extracted from the training corpus and lexicon from the available word list, we used two statistical taggers for comparison reasons. The best result achieved was 93.1% accuracy in a 10-fold cross validation on the training set. The winning tagger was thereafter applied to annotate a 570,247 token corpus.
In this article, we examine the current situation of data dissemination and provision for CMC corpora. By that we aim to give a guiding grid for future projects that will improve the transparency and replicability of research results as well as the reusability of the created resources. Based on the FAIR guiding principles for research data management, we evaluate the 20 European CMC corpora listed in the CLARIN CMC Resource family, individuate successful strategies among the existing corpora and establish best practices for future projects. We give an overview of existing approaches to data referencing, dissemination and provision in European CMC corpora, and discuss the methods, formats and strategies used. Furthermore, we discuss the need for community standards and offer recommendations for best practices when creating a new CMC corpus.
In this Paper, we describe a schema and models which have been developed for the representation of corpora of computer-mediated communicatin (CMC corpora) using the representation framework provided by the Text Encoding Initiative (TEI). We characterise CMC discourse as dialogic, sequentially organised interchange between humans and point out that many features of CMC are not adequately handled by current corpus encoding schemas and tools. We formulate desiderata for a representation of CMC in encoding schemes and argue why the TEI is a suitable framework for the encoding of CMC corpora. We propose a model of basic CMC units (utterances, posts, and nonverbal activities) and the macro- and micro-level structures of interactions in CMC environments. Based on these models, we introduce CMC-core, a TEI customisation for the encoding of CMC corpora, which defines CMC-specific encoding features on the four levels of elements, model classes, attribute classes, and modules of the TEI infrastructure. The description of our customisation is illustrated by encoding examples from corpora by researchers of the TEI SIG CMC, representing a variety of CMC genres, i.e. chat, wiki talk, twitter, blog, and Second Life interactions. The material described, i.e. schemata, encoding examples, and documentation, is available from the of the TEI CMC SIG Wiki and will accompany a feature request to the TEI council in late 2019.
Learning from students. On the design and usability of an e-dictionary of mathematical graph theory
(2022)
We created a prototype of an electronic dictionary for the mathematical domain of graph theory. We evaluate our prototype and compare its effectiveness in task-based tests with that of Wikipedia. Our dictionary is based on a corpus; the terms and their definitions were automatically extracted and annotated by experts (cf. Kruse/Heid 2020). The dictionary is bilingual, covering German and English; it gives equivalents, definitions and semantically related terms. For the implementation of the dictionary, we used LexO (Bellandi et al. 2017). The target group of the dictionary are students of mathematics who attend lectures in German and work with English resources. We carried out tests to understand which items the students search for when they work on graph-theoretical tasks. We ran the same test twice, with comparable student groups, either allowing Wikipedia as an information source or our dictionary. The dictionary seems to be especially helpful for students who already have a vague idea of a term because they can use the resource to check if their idea is right.
This paper describes the results of an empirical investigation carried out within the project Lessico Multilingue dei Beni Culturali (LBC), whose aim is to create a multilingual online dictionary of the lexicon of the Italian artistic heritage. The dictionary, whose lexicographic process has already started, is intended for linguists and specialist translators as well as for professionals in the tourism sector and students of Foreign Languages and Literatures. The investigation conducted through a questionnaire submitted to undergraduate students at the University of Milan and at the University of Florence has a double aim: to research the habits in the use of lexicographic tools by possible users of the dictionary (Italian Learners of German Language), and to identify preferences regarding macro-, medio- and microstructural features of the future LBC-dictionary to realize a user-friendly tool. After a brief introduction on the state of the art of the survey in the field of Dictionary Users Studies, the article describes the questionnaire and the results obtained from the pilot study. A summary and a discussion on the future developments of the project conclude the work.
This paper gives an insight into a cross-media publishing process on different stages: from a printed bilingual syntagmatic dictionary for GFL to an online learner’s dictionary of German collocations to a German learner’s dictionary portal. On the basis of an sql database specially developed for a corpus-guided dictionary of German collocations, the bilingual syntagmatic learner’s dictionary KolleX was published in 2014. The first part of the article describes this lexicographic process, focusing the most relevant aspects of the dictionary concept, e. g. dictionary type, subject matter, corpus guided data selection and microstructure. The second part introduces the first online version of KolleX from 2016 and the profound changes in the editing system – from a desktop version (2005) to a web-based editing system (2016) –, which resulted successively in a prototype of a German learner’s dictionary portal, called E-KolleX DaF (2018–). Focusing on the aspects of dynamism and integration of different resources from a learner’s perspective the paper shows the innovative features of this new online reference work. The contribution presents the solutions for the integration of new datatypes in the database of KolleX and the linking to different data in German monolingual dictionary platforms. The paper outlines the web design, functioning and technical improvements of E-KolleX DaF. The conclusions provide an outlook to the forthcoming challenges.
Individuals with Autism Spectrum Disorder (ASD) experience a variety of symptoms sometimes including atypicalities in language use. The study explored diferences in semantic network organisation of adults with ASD without intellectual impairment. We assessed clusters and switches in verbal fuency tasks (‘animals’, ‘human feature’, ‘verbs’, ‘r-words’) via curve ftting in combination with corpus-driven analysis of semantic relatedness and evaluated socio-emotional and motor action related content. Compared to participants without ASD (n=39), participants with ASD (n=32) tended to produce smaller clusters, longer switches, and fewer words in semantic conditions (no p values survived Bonferroni-correction), whereas relatedness and content were similar. In ASD, semantic networks underlying cluster formation appeared comparably small without afecting strength of associations or content.
Dieser Beitrag beschreibt die Motivation und Ziele hinter der Initiative Europäisches Referenzkorpus EuReCo. Ausgehend von den Desiderata, die sich aufgrund der Defizite verfügbarer Forschungsdaten wie monolinguale Korpora, Parallelkorpora und Vergleichskorpora für den Sprachvergleich ergeben, werden die bisherigen und die laufenden Arbeiten im Rahmen von EuReCo präsentiert und anhand vergleichender deutsch-rumänischer Kookkurrenzanalysen neue Perspektiven für kontrastive Korpuslinguistik, die die EuReCo-Initiative öffnet, skizziert.
Kontrastive Korpuslinguistik versteht sich als eine Bezeichnung für sprachvergleichende Studien, deren Ergebnisse mit Analysen sprachlicher Daten erreicht und empirisch fundiert sind. Die Bezeichnung contrastive corpus linguistics für eine neue, sich entwickelnde Disziplin wurde 1996 von Karin Aijmer und Bengt Altenberg (Schmied 2009: 1142) eingeführt. Der Einsatz der sprachlichen Korpora bei der Beschreibung kontrastiver Studien bedeutet in den 1990er-Jahren für die kontrastive Linguistik eine Wiederbelebung, nachdem die weit gesteckten Ziele und Hoffnungen in den 50er- und 60er-Jahren, die mit der Fremdsprachendidaktik zusammenhingen, vor etwa 50 Jahren aufgegeben wurden.
Kontrastive Korpuslinguistik
(2022)