DeRiK: A German reference corpus of computer-mediated communication

Beißwenger, Michael; Ermakova, Maria; Geyken, Alexander; Lemnitzer, Lothar; Störrer, Angelika

doi:10.1093/llc/fqt038

Cited by 11 publications

(11 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In particular, a <post> element to model the basic building block of CMC communication, along with several attributes such as @replyTo, and @in-dentLevel, was introduced by the TEI CMC SIG. The French and German projects that contributed to the TEI CMC SIG and in which CMC-specific TEI customisations were developed, were concerned with building CMC corpora of multiple genres (Beißwenger et al 2012, Lüngen et al 2016.…”

Section: Tei -Text Encoding Initiativementioning

confidence: 99%

Types and annotation of reply relations in computer-mediated communication

Lüngen

Herzberg

2019

European Journal of Applied Linguistics

View full text Add to dashboard Cite

This paper presents types and annotation layers of reply relations in computer-mediated communication (CMC). Reply relations hold between post units in CMC interactions and describe references from one given post to a previous post. We classify three types of reply relations in CMC interactions: first, technical replies, i. e. the possibility to reply directly to a previous post by clicking a 'reply' button; second, indentations, e. g. in wiki talk pages in which users insert their contributions in the existing talk page by indenting them and third, interpretative reply relations, i. e. the reply action is not realised formally but signalled by other structural or linguistics means such as address markers '@', greetings, citations and/or Q-A structures. We take a look at existing practices in the description and representation of such relations in corpora and examples of chat, Wikipedia talk pages, Twitter and blogs. We then provide an annotation proposal that combines the different levels of description and representation of reply relations and which adheres to the schemas and practices for encoding CMC corpus documents within the TEI framework as defined by the TEI CMC SIG. It constitutes a prerequisite for correctly identifying higher levels of interactional relations such as dialogue acts or discussion trees.Zusammenfassung: Der vorliegende Artikel stellt Typen und Annotationsebenen von Antwortrelationen in der internetbasierten Kommunikation (IBK) vor. Antwortrelationen bestehen zwischen Posts in IBK-Interaktionen und beschreiben Referenzen, die zwischen einem Initialbeitrag und einem Folgebeitrag bestehen. Wir klassifizieren drei Arten von Antwortrelationen in IBK-Interaktionen: erstens, technische Antwortrelationen, welche dadurch gekennzeichnet sind, dass durch das Betätigen einer "Antwort"-Schaltfläche eine Antwort initiiert wird, bspw. in Blogs; zweitens,

show abstract

Section: Tei -Text Encoding Initiativementioning

confidence: 99%

Types and annotation of reply relations in computer-mediated communication

Lüngen

Herzberg

2019

European Journal of Applied Linguistics

View full text Add to dashboard Cite

show abstract

“…8 According to an informal and otherwise unpublished description on the ClueWeb09 web page, it was crawled with Nutch and "best-first search, using the OPIC metric", which is biased toward documents which are relevant to search engine applications. 9 Finally, there are completely different kinds of web corpus projects, which use stratified non-random sampling as mentioned in Section 2.1, such as the German DeRiK corpus project of computer-mediated communication [16]. Such corpora are designed with a specific purpose in mind, and they are orders of magnitude smaller than the large crawled web corpora we discuss in this paper.…”

Section: Strategies Used By Existing Web Corpus Projectsmentioning

confidence: 99%

“…In the first pipeline step, those different input formats are read and split into parts that can be processed in parallel. For ARC/WARC, this is done by reading input archives using the open-source library JWAT 16 and generating a split for each archive record. Although web archives can contain text documents in virtually any format such as PDF, word processor, presentations, or even images, only HTML documents are used for processing.…”

Section: Webcorpus Projectmentioning

confidence: 99%

Scalable Construction of High-Quality Web Corpora

Biemann¹,

Bildhauer²,

Evert³

et al. 2013

JLCL

View full text Add to dashboard Cite

In this article, we give an overview about the necessary steps to construct high-quality corpora from web texts. We first focus on web crawling and the pros and cons of the existing crawling strategies. Then, we describe how the crawled data can be linguistically pre-processed in a parallelized way that allows the processing of web-scale input data. As we are working with web data, controlling the quality of the resulting corpus is an important issue, which we address by showing how corpus statistics and a linguistic evaluation can be used to assess the quality of corpora. Finally, we show how the availability of extremely large, high-quality corpora opens up new directions for research in various fields of linguistics, computational linguistics, and natural language processing.

show abstract

“…European Computer-Mediated Communication (CMC) and Mediated Digital Discourse (MDD) corpora initiatives are becoming more visible: Belgian sms4science, Vos Pouces, (Fairon et al, 2006;Cougnon, 2015;Cougnon and Fairon, 2014;Cougnon et al, 2017); Dutch SoNaR, (Oostdijk et al, 2008); French CoMeRe, (Chanier et al, 2014); German DeRik, (Beißwenger et al, 2013); Swiss What's up Switzerland?, (Ueberwasser and Stark, 2017;Frey et al, 2016). These data types are often difficult to process, standardize, analyze, owing to their complex nature, including 'noisy' content (Frey et al, 2019;Poudat et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

An Internationally Fair Mediated Digital Discourse Corpus

Panckhurst¹,

Frontini²

2021

Linköping Electronic Conference Proceedings

View full text Add to dashboard Cite

In this paper, the authors present a French Mediated Digital Discourse corpus, (88milSMS http://88milsms.huma-num.fr https://hdl.handle.net/11403/comere/ cmr-88milsms). Efforts were undertaken over the years to ensure its publication according to the best practices and standards of the community, thus guaranteeing compliance with FAIR principles and CLARIN recommendations with pertinent scientific and pedagogical reuse. Since knowledge on how resources are reused is sometimes difficult to obtain, ways of improving this are also envisaged.

show abstract

DeRiK: A German reference corpus of computer-mediated communication

Cited by 11 publications

References 1 publication

Types and annotation of reply relations in computer-mediated communication

Types and annotation of reply relations in computer-mediated communication

Scalable Construction of High-Quality Web Corpora

An Internationally Fair Mediated Digital Discourse Corpus

Contact Info

Product

Resources

About