MucLex: A German Lexicon for Surface Realisation
2020-05-01LREC 2020Code Available0· sign in to hype
Kira Klimt, Daniel Braun, Daniela Schneider, Florian Matthes
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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.