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Towards a gold standard corpus for detecting valencies of Zulu verbs

  • We report on a new project building a Natural Language Processing resource for Zulu by making use of resources already available. Combining tagging results with the results of morphological analysis semi-automatically, we expect to reduce the amount of manual work when generating a finely-grained gold standard corpus usable for training a tagger. From the tagged corpus, we plan to extract verb-argument pairs with the aim of compiling a verb valency lexicon for Zulu.

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Metadaten
Author:Getrud FaaßORCiD, Sonja Bosch
URN:urn:nbn:de:bsz:mh39-116069
URL:https://corpora.linguistik.uni-erlangen.de/data/konvens/proceedings/papers/KONVENS2019_paper_12.pdf
Parent Title (English):Preliminary proceedings of the 15th Conference on Natural Language Processing (KONVENS 2019), October 9 - 11, 2019 at Friedrich-Alexander-Universität Erlangen-Nürnberg
Publisher:German Society for Computational Linguistics & Language Technology und Friedrich-Alexander-Universität Erlangen-Nürnberg
Place of publication:München [u.a.]
Document Type:Conference Proceeding
Language:English
Year of first Publication:2019
Date of Publication (online):2023/04/13
Publishing Institution:Leibniz-Institut für Deutsche Sprache (IDS)
Publicationstate:Veröffentlichungsversion
Reviewstate:Peer-Review
GND Keyword:Korpus <Linguistik>; Morphologie <Linguistik>; Sprachverarbeitung; Wortschatz; Zulu-Sprache
First Page:223
Last Page:228
DDC classes:400 Sprache / 400 Sprache, Linguistik
Open Access?:ja
Linguistics-Classification:Soziolinguistik
Licence (German):License LogoCreative Commons - CC BY-NC-SA - Namensnennung - Nicht kommerziell - Weitergabe unter gleichen Bedingungen 4.0 International