TY  - CHAP
U1  - Buchbeitrag
A1  - Steiner, Petra
A1  - Ruppenhofer, Josef
ED  - Calzolari, Nicoletta
ED  - Choukri, Khalid
ED  - Cieri, Christopher
ED  - Declerck, Thierry
ED  - Goggi, Sara
ED  - Hasida, Koiti
ED  - Isahara, Hitoshi
ED  - Maegaard, Bente
ED  - Mariani, Joseph
ED  - Mazo, Hélène
ED  - Moreno, Asuncion
ED  - Odijk, Jan
ED  - Piperidis, Stelios
ED  - Tokunaga, Takenobu
T1  - Building a morphological treebank for German from a linguistic database
T2  - Proceedings of the eleventh international conference on language resources and evaluation (LREC 2018), 7-12 May 2018, Miyazaki, Japan
N2  - German is a language with complex morphological processes. Its long and often ambiguous word forms present a bottleneck problem in natural language processing. As a step towards morphological analyses of high quality, this paper introduces a morphological treebank for German. It is derived from the linguistic database CELEX which is a standard resource for German morphology. We build on its refurbished, modernized and partially revised version. The derivation of the morphological trees is not trivial, especially for such cases of conversions which are morpho-semantically opaque and merely of diachronic interest. We develop solutions and present exemplary analyses. The resulting database comprises about 40,000 morphological trees of a German base vocabulary whose format and grade of detail can be chosen according to the requirements of the applications. The Perl scripts for the generation of the treebank are publicly available on github. In our discussion, we show some future directions for morphological treebanks. In particular, we aim at the combination with other reliable lexical resources such as GermaNet.
KW  - treebank
KW  - morphology
KW  - word structure
KW  - deep-level morphological analyses
KW  - CELEX
KW  - Morphologie
KW  - Computerlinguistik
KW  - Deutsch
Y1  - 2018
U6  - https://nbn-resolving.org/urn:nbn:de:bsz:mh39-74958
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:mh39-74958
UR  - http://www.lrec-conf.org/proceedings/lrec2018/summaries/1077.html
SN  - 979-10-95546-00-9
SB  - 979-10-95546-00-9
SP  - 3882
EP  - 3889
PB  - European language resources association (ELRA)
CY  - Paris, France
ER  -