AG 4 (Kurz-AG, Gebäude B 3.1, Raum 0.12)
Encoding language and linguistic information in historical corpora
Organisatoren
Kerstin Eckart, Universität Stuttgart, eckartkn@ims.uni-stuttgart.de
Carolin Odebrecht, Humboldt-Universität zu Berlin, carolin.odebrecht@hu-berlin.de
Externe Homepage
Call for papers
Kurzbeschreibung
Historical corpora have been established as an empirical digital base for various types of linguistic studies. Annotations on these corpora have to balance between a diplomatic representation of historical text and its linguistic analysis. This requires a linguistic modelling of annotations to develop annotation guidelines and concepts, as well as assignment methods and corpus architectures. The working group thus focuses on established and new approaches which address these requirements for a structured exploration of historical corpus data.
Programm
Donnerstag, 09.03.2017
| Zeit | Veranstaltung |
| 11:15 – 12:15 | Mathilde Hennig Basic categories in multi layered grammatical annotation |
| 12:15 – 12:45 | Svetlana Petrova Particle verb constructions in historical German and what corpus studies reveal about them |
| 12:45 – 13:45 | Mittagspause |
| 13:45 – 14:15 | Lisa Dücker, Stefan Hartmann & Renata Szczepaniak Annotating a multiregional diachronic corpus of Early New High German handwritten texts |
Freitag, 10.03.2017
| Zeit | Veranstaltung |
| 11:30 – 12:00 | Maarten Janssen TEITOK: Combining language and linguistic information without compromise |
| 12:00 – 12:30 | Zarah Weiß & Gohar Schnelle Annotation of an Early New High German Corpus: The LangBank Pipeline |
| 12:30 – 13:00 | Cătălina Mărănduc, Cenel-Augusto Perez, Ludmila Malahov & Alexandru Colesnicov A diachronic corpus for Romanian (RoDia) |
| 13:00 – 13:30 | Katrin Goldschmidt Development and annotation of a newspaper corpus as part of a doctoral thesis on text structure and cohesion in news items from the 17th and 18th centuries |
| 13:30 – 14:00 | Nicoletta Puddu Encoding sociolinguistic variables in a corpus of Medieval Sardinian texts |