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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).
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.
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.
In diesem Beitrag stellen wir die Ergebnisse einer Studie über die Intonation von Frageaktivitäten in deutschen Alltagsgesprächen vor. Unsere Untersuchung erforscht, inwieweit die Intonation zur Kontextualisierung von konversationellen Fragen beiträgt. In der Analyse stützen wir uns auf das autosegmental-metrische Modell von Peters und das taxonomische Modell der interaktionalen Prosodieforschung von Selting. Diese Modelle beschreiben jeweils phonologische oder pragmatische Aspekte der Frageintonation, zwei Dimensionen, die für sich genommen, keine vollständige Beschreibung liefern können. Auf der Grundlage authentischer Gesprächsdaten aus dem Korpus FOLK argumentieren wir für die Kompatibilität des autosegmental-metrischen Modells von Peters und des taxonomischen Modells der Frageintonation von Selting. Die Merkmale aus beiden Modellen lassen sich zu Bündeln kombinieren, die es erlauben, die Intonation von Fragen zu erfassen.
Content
1 Substituto - A Synchronous Educational Language Game for Simultaneous Teaching and Crowdsourcing
Marianne Grace Araneta, Gülsen Eryigit, Alexander König, Ji-Ung Lee, Ana Luís, Verena Lyding, Lionel Nicolas, Christos Rodosthenous and Federico Sangati
2 The Teacher-Student Chatroom Corpus
Andrew Caines, Helen Yannakoudakis, Helena Edmondson, Helen Allen, Pascual Pérez-Paredes, Bill Byrne and Paula Buttery
3 Polygloss - A conversational agent for language practice
Etiene da Cruz Dalcol and Massimo Poesio
4 Show, Don’t Tell: Visualising Finnish Word Formation in a Browser-Based Reading Assistant
Frankie Robertson
Twenty-two historical encyclopedias encoded in TEI: a new resource for the Digital Humanities
(2020)
This paper accompanies the corpus publication of EncycNet, a novel XML/TEI annotated corpus of 22 historical German encyclopedias from the early 18th to early 20th century. We describe the creation and annotation of the corpus, including the rationale for its development, suggested methodology for TEI annotation, possible use cases and future work. While many well-developed annotation standards for lexical resources exist, none can adequately model the encyclopedias at hand, and we therefore suggest how the TEI Lex-0 standard may be modified with additional guidelines for the annotation of historical encyclopedias. As the digitization and annotation of historical encyclopedias are settling on TEI as the de facto standard, our methodology may inform similar projects.
Im Beitrag steht das LeGeDe-Drittmittelprojekt und der im Laufe der Projektzeit entwickelte korpusbasierte lexikografische Prototyp zu Besonderheiten des gesprochenen Deutsch in der Interaktion im Zentrum der Betrachtung. Die Entwicklung einer lexikografischen Ressource dieser Art knüpft an die vielfältigen Erfahrungen in der Erstellung von korpusbasierten Onlinewörterbüchern (insbesondere am Leibniz-Institut für Deutsche Sprache, Mannheim) und an aktuelle Methoden der korpusbasierten Lexikologie sowie der Interaktionsanalyse an und nimmt als multimedialer Prototyp für die korpusbasierte lexikografische Behandlung von gesprochensprachlichen Phänomenen eine innovative Position in der modernen Onlinelexikografie ein. Der Beitrag befasst sich im Abschnitt zur LeGeDe-Projektpräsentation ausführlich mit projektrelevanten Forschungsfragen, Projektzielen, der empirischen Datengrundlage und empirisch erhobenen Erwartungshaltungen an eine Ressource zum gesprochenen Deutsch. Die Darstellung der komplexen Struktur des LeGeDe-Prototyps wird mit zahlreichen Beispielen illustriert. In Verbindung mit der zentralen Information zur Makro- und Mikrostruktur und den lexikografischen Umtexten werden die vielfältigen Vernetzungs- und Zugriffsstrukturen aufgezeigt. Ergänzend zum abschließenden Fazit liefert der Beitrag in einem Ausblick umfangreiche Vorschläge für die zukünftige lexikografische Arbeit mit gesprochensprachlichen Korpusdaten.