Korpuslinguistik
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This paper is about the workflow for construction and dissemination of FOLK (Forschungs - und Lehrkorpus Gesprochenes Deutsch – Research and Teaching Corpus of Spoken German), a large corpus of authentic spoken interaction data, recorded on audio and video. Section 2 describes in detail the tools used in the individual steps of transcription, anonymization, orthographic normalization, lemmatization and POS tagging of the data, as well as some utilities used for corpus management. Section 3 deals with the DGD (Datenbank für Gesprochenes Deutsch - Database of Spoken German) as a tool for distributing completed data sets and making them available for qualitative and quantitative analysis. In section 4, some plans for further development are sketched.
Brown clustering has been used to help increase parsing performance for morphologically rich languages. However, much of the work has focused on using clustering techniques to replace terminal nodes or as a feature for parsing. Instead, we choose to examine how effectively Brown clustering is for unlexicalized parsing by creating data-driven POS tagsets which are then used with the Berkeley parser. We investigate cluster sizes as well as on what information (e.g. words vs. lemmas) clustering will yield the best parser performance. Our results approach the current state of the art results for the German T¨uBa-D/Z treebank when using parser internal tagging.
Präposition-Substantiv-Verbindungen mit rekurrentem Nullartikel in adverbialer Verwendung – z.B. nach Belieben, auf Knopfdruck, ohne Ende oder bei Nacht – sind ein in der Mehrwortforschung bisher eher vernachlässigter Typ. Sie sind Untersuchungsgegenstand des laufenden Forschungsprojekts „Präpositionale Wortverbindungen kontrastiv“ (beteiligte Institutionen: IDS Mannheim, Universität Santiago de Compostela, Universität Trnava), in das wir in unserem Vortrag einen Einblick vermitteln. Es wird skizziert, wie sich solche Wortverbindungen sowie abstraktere präpositionale Wortverbindungsmuster vom Typ [in + SUBX-Zeit(en) (z.B. in Echtzeit, in Krisenzeiten) aus kontrastiver Sicht (Deutsch – Spanisch – Slowakisch) korpusbasiert untersuchen und lexikografisch beschreiben lassen. Von großem Interesse – gerade auch für Fremdsprachenlerner – sind dabei insbesondere die semantisch-funktionalen Restriktionen, denen solche Entitäten unterliegen. Basierend auf den theoretischen und empirischen Grundannahmen des am IDS entwickelten Modells „Usuelle Wortverbindungen“ (vgl. Steyer 2013) werden im Projekt zunächst Kollokations- und Kotextmuster für die binären deutschen Mehrworteinheiten induktiv in sehr großen Korpora ermittelt; im Anschluss werden sie einem systematischen Vergleich mit dem Spanischen und Slowakischen unterzogen. Methodisch greifen wir – in allen drei Sprachen – u.a. auf Kookkurrenzprofile zu den Wortverbindungen sowie auf Slotanalysen zu definierten Suchmustern zurück. Ziel des Projekts ist u.a. die Entwicklung eines neuartigen Prototyps für eine multilinguale Aufbereitung des Untersuchungsgegentands (speziell für Fremdsprachenlerner).
The paper reports the results of the curation project ChatCorpus2CLARIN. The goal of the project was to develop a workflow and resources for the integration of an existing chat corpus into the CLARIN-D research infrastructure for language resources and tools in the Humanities and the Social Sciences (http://clarin-d.de). The paper presents an overview of the resources and practices developed in the project, describes the added value of the resource after its integration and discusses, as an outlook, to what extent these practices can be considered best practices which may be useful for the annotation and representation of other CMC and social media corpora.
We introduce our pipeline to integrate CMC and SM corpora into the CLARIN-D corpus infrastructure. The pipeline was developed by transforming an existing CMC corpus, the Dortmund Chat Corpus, into a resource conforming to current technical and legal standards. We describe how the resource has been prepared and restructured in terms of TEI encoding, linguistic annotations, and anonymisation. The output is a CLARIN-conformant resource integrated in the CLARIN-D research infrastructure.
Converting and Representing Social Media Corpora into TEI: Schema and best practices from CLARIN-D
(2016)
The paper presents results from a curation project within CLARIN-D, in which an existing lMWord corpus of German chat communication has been integrated into the DEREKO and DWDS corpus infrastructures of the CLARIN-D centres at the Institute for the German Language (IDS, Mannheim) and at the Berlin-Brandenburg Academy of Sciences (BBAW, Berlin). The focus is on the solutions developed for converting and representing the corpus in a TEI format.
This paper introduces the recently started DRuKoLA-project that aims at providing mechanisms to flexibly draw virtual comparable corpora from the German Reference Corpus DeReKo and the Reference Corpus of Contemporary Romanian Language CoRoLa in order to use these virtual corpora as empirical basis for contrastive linguistic research.
In this paper, we present a GOLD standard of part-of-speech tagged transcripts of spoken German. The GOLD standard data consists of four annotation layers – transcription (modified orthography), normalization (standard orthography), lemmatization and POS tags – all of which have undergone careful manual quality control. It comes with guidelines for the manual POS annotation of transcripts of German spoken data and an extended version of the STTS (Stuttgart Tübingen Tagset) which accounts for phenomena typically found in spontaneous spoken German. The GOLD standard was developed on the basis of the Research and Teaching Corpus of Spoken German, FOLK, and is, to our knowledge, the first such dataset based on a wide variety of spontaneous and authentic interaction types. It can be used as a basis for further development of language technology and corpus linguistic applications for German spoken language.
This contribution presents the background, design and results of a study of users of three oral corpus platforms in Germany. Roughly 5.000 registered users of the Database for Spoken German (DGD), the GeWiss corpus and the corpora of the Hamburg Centre for Language Corpora (HZSK) were asked to participate in a user survey. This quantitative approach was complemented by qualitative interviews with selected users. We briefly introduce the corpus resources involved in the study in section 2. Section 3 describes the methods employed in the user studies. Section 4 summarizes results of the studies focusing on selected key topics. Section 5 attempts a generalization of these results to larger contexts.