MucLex: A German Lexicon for Surface Realisation

Kira Klimt, Daniel Braun, Daniela Schneider, Florian Matthes


Abstract
Language resources for languages other than English are often scarce. Rule-based surface realisers need elaborate lexica in order to be able to generate correct language, especially in languages like German, which include many irregular word forms. In this paper, we present MucLex, a German lexicon for the Natural Language Generation task of surface realisation, based on the crowd-sourced online lexicon Wiktionary. MucLex contains more than 100,000 lemmata and more than 670,000 different word forms in a well-structured XML file and is available under the Creative Commons BY-SA 3.0 license.
Anthology ID:
2020.lrec-1.572
Volume:
Proceedings of the 12th Language Resources and Evaluation Conference
Month:
May
Year:
2020
Address:
Marseille, France
Venues:
COLING | LREC
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
4653–4657
Language:
English
URL:
https://www.aclweb.org/anthology/2020.lrec-1.572
DOI:
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PDF:
http://aclanthology.lst.uni-saarland.de/2020.lrec-1.572.pdf