@inproceedings{klimt-etal-2020-muclex,
title = "{M}uc{L}ex: A {G}erman Lexicon for Surface Realisation",
author = "Klimt, Kira and
Braun, Daniel and
Schneider, Daniela and
Matthes, Florian",
editor = "Calzolari, Nicoletta and
B{\'e}chet, Fr{\'e}d{\'e}ric and
Blache, Philippe and
Choukri, Khalid and
Cieri, Christopher and
Declerck, Thierry and
Goggi, Sara and
Isahara, Hitoshi and
Maegaard, Bente and
Mariani, Joseph and
Mazo, H{\'e}l{\`e}ne and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Twelfth Language Resources and Evaluation Conference",
month = may,
year = "2020",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2020.lrec-1.572/",
pages = "4653--4657",
language = "eng",
ISBN = "979-10-95546-34-4",
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."
}
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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.</abstract>
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%0 Conference Proceedings
%T MucLex: A German Lexicon for Surface Realisation
%A Klimt, Kira
%A Braun, Daniel
%A Schneider, Daniela
%A Matthes, Florian
%Y Calzolari, Nicoletta
%Y Béchet, Frédéric
%Y Blache, Philippe
%Y Choukri, Khalid
%Y Cieri, Christopher
%Y Declerck, Thierry
%Y Goggi, Sara
%Y Isahara, Hitoshi
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Mazo, Hélène
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Twelfth Language Resources and Evaluation Conference
%D 2020
%8 May
%I European Language Resources Association
%C Marseille, France
%@ 979-10-95546-34-4
%G eng
%F klimt-etal-2020-muclex
%X 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.
%U https://aclanthology.org/2020.lrec-1.572/
%P 4653-4657
Markdown (Informal)
[MucLex: A German Lexicon for Surface Realisation](https://aclanthology.org/2020.lrec-1.572/) (Klimt et al., LREC 2020)
ACL
- Kira Klimt, Daniel Braun, Daniela Schneider, and Florian Matthes. 2020. MucLex: A German Lexicon for Surface Realisation. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 4653–4657, Marseille, France. European Language Resources Association.