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Decision tree-based evaluation of genitive classification. An empirical study on CMC and text corpora

  • Contemporary studies on the characteristics of natural language benefit enormously from the increasing amount of linguistic corpora. Aside from text and speech corpora, corpora of computer-mediated communication (CMC) position themselves between orality and literacy, and beyond that provide insight into the impact of “new”, mainly internet-based media on language behaviour. In this paper, we present an empirical attempt to work with annotated CMC corpora for the explanation of linguistic phenomena. In concrete terms, we implement machine learning algorithms to produce decision trees that reveal rules and tendencies about the use of genitive markers in German.

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Metadaten
Author:Sandra Hansen, Roman Schneider
DOI:https://doi.org/10.1007/978-3-642-40722-2_8
ISBN:978-3-642-40721-5
Parent Title (English):Language processing and knowledge in the web. 25th international conference, GSCL 2013, Darmstadt, Germany, September 25 - 27, 2013. Proceedings
Series (Serial Number):Lecture Notes in Computer Science (8105)
Publisher:Springer
Place of publication:Berlin [u.a.]
Editor:Iryna Gurevych, Chris Biemann, Torsten Zesch
Document Type:Part of a Book
Language:English
Year of first Publication:2013
Date of Publication (online):2015/08/12
Tag:Computer-Mediated Communication; Corpus Linguistics; Decision Trees; Genitive Classification; Grammar; Machine Leaming
Volume:2013
First Page:83
Last Page:88
Note:
Dieser Beitrag ist aus urheberrechtlichen Gründen nicht frei zugänglich.
Open Access?:Nein
Licence (German):Es gilt das UrhG