Converting a Database of Complex German Word Formation for Linked Data

gwll (LREC) 2022  ·  Petra Steiner ·

This work combines two lexical resources with morphological information on German word formation, CELEX for German and the latest release of GermaNet, for extracting and building complex word structures. This yields a database of over 100,000 German wordtrees. A definition for sequential morphological analyses leads to a Ontolex-Lemon type model. By using GermaNet sense information, the data can be linked to other semantic resources. An alignment to the CIDOC Conceptual Reference Model (CIDOC-CRM) is also provided. The scripts for the data generation are publicly available on GitHub.

PDF Abstract
No code implementations yet. Submit your code now

Tasks


Datasets


Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods


No methods listed for this paper. Add relevant methods here