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Die durch die Covid-19-Pandemie bedingte Umstellung der Präsenzlehre auf digitale Lehr- und Lernformate stellte Lehrende und Studierende gleichermaßen vor eine Herausforderung. Innerhalb kürzester Zeit musste die Nutzung von Plattformen und digitalen Tools erlernt und getestet werden. Der Beitrag stellt exemplarisch Dienste und Werkzeuge von CLARIAH-DE vor und erläutert, wie die digitale Forschungsinfrastruktur Lehrende und Studierende auch im Rahmen der digitalen Lehre unterstützen kann.
The newest generation of speech technology caused a huge increase of audio-visual data nowadays being enhanced with orthographic transcripts such as in automatic subtitling in online platforms. Research data centers and archives contain a range of new and historical data, which are currently only partially transcribed and therefore only partially accessible for systematic querying. Automatic Speech Recognition (ASR) is one option of making that data accessible. This paper tests the usability of a state-of-the-art ASR-System on a historical (from the 1960s), but regionally balanced corpus of spoken German, and a relatively new corpus (from 2012) recorded in a narrow area. We observed a regional bias of the ASR-System with higher recognition scores for the north of Germany vs. lower scores for the south. A detailed analysis of the narrow region data revealed – despite relatively high ASR-confidence – some specific word errors due to a lack of regional adaptation. These findings need to be considered in decisions on further data processing and the curation of corpora, e.g. correcting transcripts or transcribing from scratch. Such geography-dependent analyses can also have the potential for ASR-development to make targeted data selection for training/adaptation and to increase the sensitivity towards varieties of pluricentric languages.
Der Beitrag beschreibt ein mehrfach annotiertes Korpus deutschsprachiger Songtexte als Datenbasis für interdisziplinäre Untersuchungsszenarien. Die Ressource erlaubt empirisch begründete Analysen sprachlicher Phänomene, systemischstruktureller Wechselbeziehungen und Tendenzen in den Texten moderner Popmusik. Vorgestellt werden Design und Annotationen des in thematische und autorenspezifische Archive stratifizierten Korpus sowie deskriptive Statistiken am Beispiel des Udo-Lindenberg-Archivs.
Both for psychology and linguistics, emotion concepts are a continuing challenge for analysis in several respects. In this contribution, we take up the language of emotion as an object of study from several angles. First, we consider how frame semantic analyses of this domain by the FrameNet project have been developing over time, due to theory-internal as well as application-oriented goals, towards ever more fine-grained distinctions and greater within-frame consistency. Second, we compare how FrameNet’s linguistically oriented analysis of lexical items in the emotion domain compares to the analysis by domain experts of the experiences that give rise (directly or indirectly) to the lexical items. And finally, we consider to what extent frame semantic analysis can capture phenomena such as connotation and inference about attitudes, which are important in the field of sentiment analysis and opinion mining, even if they do not involve the direct evocation of emotion.
This abstract discusses the possibility to adopt a CLARIN Data Protection Code of Conduct pursuant art. 40 of the General Data Protection Regulation. Such a code of conduct would have important benefits for the entire language research community. The final section of this abstract proposes a roadmap to the CLARIN Data Protection Code of Conduct, listing various stages of its drafting and approval procedures.
New exceptions for Text and Data Mining and their possible impact on the CLARIN infrastructure
(2018)
The proposed paper discusses new exceptions for Text and Data Mining that have recently been adopted in some EU Member States, and probably will soon be adopted also at the EU level. These exceptions are of great significance for language scientists, as they exempt those who compile corpora from the obligation to obtain authorisation from rightholders. However, corpora compiled on the basis of such exceptions cannot be freely shared, which in a long run may have serious consequences for Open Science and the functioning of research infrastructure such as CLARIN ERIC.