Buchbeitrag

Building a morphological treebank for German from a linguistic database

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.

Building a morphological treebank for German from a linguistic database

Urheber*in: Steiner, Petra; Ruppenhofer, Josef

Namensnennung - Nicht kommerziell 4.0 International

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Sprache
Englisch

Thema
Morphologie
Computerlinguistik
Deutsch
Germanische Sprachen; Deutsch

Ereignis
Geistige Schöpfung
(wer)
Steiner, Petra
Ruppenhofer, Josef
Ereignis
Veröffentlichung
(wer)
Paris, France : European language resources association (ELRA)
(wann)
2018-05-25

URN
urn:nbn:de:bsz:mh39-74958
Letzte Aktualisierung
06.03.2025, 09:00 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
Leibniz-Institut für Deutsche Sprache - Bibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Buchbeitrag

Beteiligte

  • Steiner, Petra
  • Ruppenhofer, Josef
  • Paris, France : European language resources association (ELRA)

Entstanden

  • 2018-05-25

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