Refine
Year of publication
Document Type
- Other (151) (remove)
Language
- German (130)
- English (18)
- Multiple languages (3)
Keywords
- Deutsch (68)
- Korpus <Linguistik> (31)
- Grammatik (25)
- Sprachpolitik (12)
- Sprachwandel (11)
- COVID-19 (9)
- Geschlechtergerechte Sprache (9)
- Kommunikation (9)
- Wörterbuch (9)
- Interaktion (8)
Publicationstate
- Veröffentlichungsversion (100)
- Zweitveröffentlichung (6)
- Postprint (2)
Reviewstate
Publisher
- Institut für Deutsche Sprache (34)
- Leibniz-Institut für Deutsche Sprache (21)
- Spektrum der Wissenschaft Verlagsgesellschaft (15)
- Leibniz-Institut für Deutsche Sprache (IDS) (12)
- Goethe-Institut (6)
- Zenodo (5)
- LINDAT/CLARIAH-CZ (3)
- Wissenschaft im Dialog gGmbH / Museum für Naturkunde - Leibniz-Institut für Evolutions- und Biodiversitätsforschung (3)
- TU Dresden, Institut für Germanistik (2)
- University of Oulu (2)
This contribution summarizes the lessons learned from the organization of a joint conference on text analytics research by the Business, Economic, and Related Data (BERD@NFDI) and Text+ consortia within the National Research Data Infrastructure (NFDI) in Germany. The collaboration aimed to identify common ground and foster interdisciplinary dialogue between scholars in the humanities and in the business domain. The lessons learned include the importance of presenting research questions using textual data to establish common ground, similarities in methodology for processing textual data between the consortia, similarities in research data management, and the need for regular interconsortial discussions on textual analysis methods and data. The collaboration proved valuable for interdisciplinary dialogue within the NFDI, and further collaboration between the consortia is planned.
"Reproducibility crisis" and "empirical turn" are only two keywords when it comes to providing reasons for research data management. Research data is omnipresent and with the more and more automatic data processing procedures, they become even more important. However, just because new methods require data and produce data, this does not mean that data are easily accessible, reusable or even make a difference in the CV of a researcher, even if a large portion of research goes into data creation, acquisition, preparation, and analysis. In this talk I will present where we find data in the research process, where we may find appropriate support for data management and advocate for a procedure for including it in research publications and resumes.
This presentation relies on work within the BMBF-funded project CLARIN-D. It also builds on work within the German National Research Data Infrastructure (NFDI) consortium Text+, DFG project number 460033370.
Allusion
(2023)
Assessment
(2023)
Most broadly, an assessment is a type of social action by which an interactant expresses an evaluative stance towards someone or something (e.g., an object, an event, an action, an experience, a state of affairs, a place, a circumstance, etc.). The target of an assessment is typically called the ‘assessable’.
Retro-sequence
(2023)
Modular pivot
(2023)
A modular pivot is a type of turn-constructional pivot. It is built from syntactically entirely optional items (i.e. linguistic adjuncts) that can occur in both turn-initial and turn-final position and can therefore be used to patch a wide range of otherwise discrete turn-constructional units (TCUs) together (Clayman & Raymond 2015). A prime example of an item that lends itself to be deployed as a modular pivot are address terms (Clayman 2012).