Refine
Year of publication
Document Type
- Conference Proceeding (40)
- Part of a Book (13)
- Book (7)
- Article (5)
Has Fulltext
- yes (65)
Keywords
- Korpus <Linguistik> (53)
- Corpus linguistics (15)
- Corpus technology (12)
- corpus linguistics (11)
- Annotation (8)
- Computerlinguistik (8)
- Datenmanagement (8)
- Deutsch (8)
- Large corpora (7)
- Standardisierung (7)
Publicationstate
- Veröffentlichungsversion (52)
- Zweitveröffentlichung (3)
- Postprint (1)
Reviewstate
- Peer-Review (46)
- (Verlags)-Lektorat (6)
Publisher
- Institut für Deutsche Sprache (20)
- Leibniz-Institut für Deutsche Sprache (11)
- European Language Resources Association (ELRA) (8)
- European Language Resources Association (4)
- European language resources association (ELRA) (4)
- ELRA (2)
- de Gruyter (2)
- Gesellschaft für Sprachtechnologie and Computerlinguistik e.V. (1)
- IDS-Verlag (1)
- Instytut Podstaw Informatyki Polskiej Akademii Nauk (1)
The paper presents an XML schema for the representation of genres of computer-mediated communication (CMC) that is compliant with the encoding framework defined by the TEI. It was designed for the annotation of CMC documents in the project Deutsches Referenzkorpus zur internetbasierten Kommunikation (DeRiK), which aims at building a corpus on language use in the most popular CMC genres on the German-speaking Internet. The focus of the schema is on those CMC genres which are written and dialogic―such as forums, bulletin boards, chats, instant messaging, wiki and weblog discussions, microblogging on Twitter, and conversation on “social network” sites.
The schema provides a representation format for the main structural features of CMC discourse as well as elements for the annotation of those units regarded as “typical” for language use on the Internet. The schema introduces an element <posting>, which describes stretches of text that are sent to the server by a user at a certain point in time. Postings are the main constituting elements of threads and logfiles, which, in our schema, are the two main types of CMC macrostructures. For the microlevel of CMC documents (that is, the structure of the <posting> content), the schema introduces elements for selected features of Internet jargon such as emoticons, interaction words and addressing terms. It allows for easy anonymization of CMC data for purposes in which the annotated data are made publicly available and includes metadata which are necessary for referencing random excerpts from the data as references in dictionary entries or as results of corpus queries.
Documentation of the schema as well as encoding examples can be retrieved from the web at http://www.empirikom.net/bin/view/Themen/CmcTEI. The schema is meant to be a core model for representing CMC that can be modified and extended by others according to their own specific perspectives on CMC data. It could be a first step towards an integration of features for the representation of CMC genres into a future new version of the TEI Guidelines.
The Manatee corpus management system on which the Sketch Engine is built is efficient, but unable to harness the power of today’s multiprocessor machines. We describe a new, compatible implementation of Manatee which we develop in the Go language and report on the performance gains that we obtained.
We present an approach to an aspect of managing complex access scenarios to large and heterogeneous corpora that involves handling user queries that, intentionally or due to the complexity of the queried resource, target texts or annotations outside of the given user’s permissions. We first outline the overall architecture of the corpus analysis platform KorAP, devoting some attention to the way in which it handles multiple query languages, by implementing ISO CQLF (Corpus Query Lingua Franca), which in turn constitutes a component crucial for the functionality discussed here. Next, we look at query rewriting as it is used by KorAP and zoom in on one kind of this procedure, namely the rewriting of queries that is forced by data access restrictions.
This paper addresses long-term archival for large corpora. Three aspects specific to language resources are focused, namely (1) the removal of resources for legal reasons, (2) versioning of (unchanged) objects in constantly growing resources, especially where objects can be part of multiple releases but also part of different collections, and (3) the conversion of data to new formats for digital preservation. It is motivated why language resources may have to be changed, and why formats may need to be converted. As a solution, the use of an intermediate proxy object called a signpost is suggested. The approach will be exemplified with respect to the corpora of the Leibniz Institute for the German Language in Mannheim, namely the German Reference Corpus (DeReKo) and the Archive for Spoken German (AGD).
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).
Our paper describes an experiment aimed to assessment of lexical coverage in web corpora in comparison with the traditional ones for two closely related Slavic languages from the lexicographers’ perspective. The preliminary results show that web corpora should not be considered ― inferior, but rather ― different.
Common Crawl is a considerably large, heterogeneous multilingual corpus comprised of crawled documents from the internet, surpassing 20TB of data and distributed as a set of more than 50 thousand plain text files where each contains many documents written in a wide variety of languages. Even though each document has a metadata block associated to it, this data lacks any information about the language in which each document is written, making it extremely difficult to use Common Crawl for monolingual applications. We propose a general, highly parallel, multithreaded pipeline to clean and classify Common Crawl by language; we specifically design it so that it runs efficiently on medium to low resource infrastructures where I/O speeds are the main constraint. We develop the pipeline so that it can be easily reapplied to any kind of heterogeneous corpus and so that it can be parameterised to a wide range of infrastructures. We also distribute a 6.3TB version of Common Crawl, filtered, classified by language, shuffled at line level in order to avoid copyright issues, and ready to be used for NLP applications.
The present submission reports on a pilot project conducted at the Institute for the German Language (IDS), aiming at strengthening the connection between ISO TC37SC4 “Language Resource Management” and the CLARIN infrastructure. In terminology management, attempts have recently been made to use graph-theoretical analyses to get a better understanding of the structure of terminology resources. The project described here aims at applying some of these methods to potentially incomplete concept fields produced over years by numerous researchers serving as experts and editors of ISO standards. The main results of the project are twofold. On the one hand, they comprise concept networks dynamically generated from a relational database and browsable by the user. On the other, the project has yielded significant qualitative feedback that will be offered to ISO. We provide the institutional context of this endeavour, its theoretical background, and an overview of data preparation and tools used. Finally, we discuss the results and illustrate some of them.
The present contribution addresses an infrastructural issue of universal relevance, addressed in the specific context of the TEI. We describe a combination of open-source tools and an open-access approach to creating knowledge repositories that have been employed in building a bibliographic reference library for the “TEI for Linguists” special interest group (LingSIG). The authors argue that, for an initiative such as the TEI, it is important to choose open, freely available solutions. If these solutions have the advantage of attracting new users and promoting the initiative itself, so much the better, especially if it is done in a non-committal way: no one using the LingSIG bibliographic repository has to be a member of the LingSIG or a “TEI-er” in general.