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Reconstruction of separable particle verbs in a corpus of spoken German

  • We present a method for detecting and reconstructing separated particle verbs in a corpus of spoken German by following an approach suggested for written language. Our study shows that the method can be applied successfully to spoken language, compares different ways of dealing with structures that are specific to spoken language corpora, analyses some remaining problems, and discusses ways of optimising precision or recall for the method. The outlook sketches some possibilities for further work in related areas.

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Metadaten
Author:Dolores Batinić, Thomas Schmidt
URN:urn:nbn:de:bsz:mh39-69024
DOI:https://doi.org/10.1007/978-3-319-73706-5
DOI:https://doi.org/0.1007/978-3-319-73706-5_1
ISBN:978-3-319-73705-8
Parent Title (English):Language technologies for the challenges of the digital age. 27th International Conference, GSCL 2017 Berlin, Germany, September 13 – 14, 2017. Proceedings
Series (Serial Number):Lecture Notes in Artificial Intelligence (10713)
Publisher:Springer
Place of publication:Cham, Switzerland
Editor:Georg Rehm, Thierry Declerck
Document Type:Part of a Book
Language:English
Year of first Publication:2018
Date of Publication (online):2018/01/09
Publicationstate:Veröffentlichungsversion
Reviewstate:Peer-Review
GND Keyword:Deutsch; Gesprochene Sprache; Korpus <Linguistik>; Partikelverb
First Page:3
Last Page:10
Dewey Decimal Classification:400 Sprache / 430 Deutsch
BDSL-Classification:Grammatik
Leibniz-Classification:Sprache, Linguistik
Linguistics-Classification:Grammatikforschung
Open Access?:Ja
Licence (English):License LogoCreative Commons - Attribution 4.0 International