INF
Data management and statistical analysis
The INF project will support and develop data collection, processing, analysis, curation and storage to effectively turn the data collected by the projects in the CRC into useful resources. It is primarily designed as an infrastructure and service project, but the infrastructure and service needs cannot be addressed without substantial original research in the relevant areas. INF will serve this dual role, supporting and training other CRC personnel in data management and statistical analysis and actively developing and refining existing methods and tools.
Members
Project leader
Malte Dreyer
Computer und Medienservice (CMS)
Humboldt-Universität zu Berlin
Dr. Thomas Krause
Sprach- und literaturwissenschaftliche Fakultät
Humboldt-Universität zu Berlin
Prof. Dr. phil. Anke Lüdeling
Sprach- und literaturwissenschaftliche Fakultät
Humboldt-Universität zu Berlin
Members
Felix Golcher
Sprach- und literaturwissenschaftliche Fakultät
Humboldt-Universität zu Berlin
André Renis
Computer und Medienservice (CMS)
Humboldt-Universität zu Berlin
Student assistant
Arsenii Gulevich
Sprach- und literaturwissenschaftliche Fakultät
Humboldt-Universität zu Berlin
Publications
Shadrova, Anna; Lindscheid, Pia; Lukassek, Julia; Lüdeling, Anke; Schneider, Sarah (2021) A Challenge for Contrastive L1/L2 Corpus Studies: Large Inter- and Intra-Individual Variation Across Morphological, but Not Global Syntactic Categories in Task-Based Corpus Data of a Homogeneous L1 German Group In: Frontiers in Psychology [DOI] [ViVo] Guescini, Rolf Borgen; Krause, Thomas; Odebrecht, Carolin; Schulz, Konstantin (2020) Laudatio Repository - Long-term Access and Usage of Deeply Annotated Information Docker Images[DOI] [ViVo] Oikonomou, Despina; Golcher, Felix; Alexiadou, Artemis (2020) Quantifier scope and information structure in Greek In: Glossa: a journal of general linguistics [DOI] [ViVo]
2021
2020
Contact
Felix Golcher
Institut für deutsche Sprache und Linguistik030 / 2093 91330
felix.golcher@hu-berlin.de