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.
Material und Templates
A template for latex beamer presentations can be found in a public git repository as well as in an overleaf-Projekt logged in users can copy.
A template for latex conference posters can as well be found in a public git repository as well as in an overleaf-Projekt logged in users can copy.
The template for submissions to REALIS is in a public git-Repository as well as in an overleaf-Projekt logged in users can copy.
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 & Presentations
Lüdeling, Anke; Hirschmann , Hagen; Shadrova, Anna; Wan, Shujun (2021) Tiefe Analyse von Lernerkorpora In: Deutsch in Europa [DOI] [ViVo] 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] Sell, Bianca Maria; Mooshammer, Christine; Lüdeling, Anke; Oliviera, Maggie Bullock; Lange, Robert (2022) Non-Native Addressee Register in German In: 11th International Conference on Language Variation in Europe - ICLaVE|11 [ViVo] Temme, Anne; Golcher, Felix (2022) Contrast Coding In: CRC/MGK Methodschool 2022 [ViVo] Temme, Anne; Renis, André (2022) Jupyter Notebooks for Linguists: Introduction to FLAIR NLP In: CRC/MGK Methodschool 2022 [ViVo] Lüdeling, Anke; Shadrova, Anna; Lukassek, Julia (2022) Variation and Productivity in German L1 and L2 Nominal Word Formation In: DGfS 2022, University of Tübingen [ViVo] Sell, Bianca Maria; Belz, Malte; Mooshammer, Christine; Lüdeling, Anke; Terada, Megumi; Lange, Robert (2022) BeDiaCo und CoNNAR – themen- und aufgabenorientierte spontansprachliche Dialoge in direkter und videobasierter Kommunikation In: IDS-Methodenmesse 2022 [ViVo] Shadrova, Anna; Lüdeling, Anke; Wan, Shujun; Lukassek, Julia (2022) Complex nouns as markers of academic register in L1-and L2-authored essays In: Word formation and discourse structure [ViVo] Temme, Anne; Renis, André (2021) Python for Linguists In: CRC/MGK Methodschool 2021 [ViVo] Golcher, Felix; Temme, Anne (2021) R Markdown In: CRC/MGK Methodschool 2021 [ViVo] Lüdeling, Anke; Lukassek, Julia (2021) Untersuchung von Registern in Texten von Lerner:innen des Deutschen als Fremdsprache In: Colloquium RWTH Aachen [ViVo] Lüdeling, Anke; Lukassek, Julia (2021) Zum Erwerb von Registerwissen bei Lerner:innen des Deutschen als Fremdsprache. Registerstudien in Lernerkorpora In: Colloquium Uni Gießen [ViVo] Lüdeling, Anke; Lukassek, Julia (2021) Registerwissen und morphologische Struktur. Eine Studie zu komplexen Wörtern bei Lerner:innen des Deutschen als Fremdsprache und Muttersprachler:innen In: SPIGL [ViVo] Golcher, Felix; Renis, André; Krause, Thomas; Temme, Anne (2020) Working with corpora and corpus data In: CRC/MGK Summerschool 2020 [ViVo]
Publications
2021
2020
Presentations
2022
2021
2020
Contact
Felix Golcher
Institut für deutsche Sprache und Linguistik030 / 2093 91330
felix.golcher@hu-berlin.de