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Decision Tree-Based Evaluation of Genitive Classification – An Empirical Study on CMC and Text Corpora. Language Processing and Knowledge in the Web

  • 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 in- sight into the impact of "new", mainly intemet-based media on language beha- viour. 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 leaming 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 SchneiderGND
URN:urn:nbn:de:bsz:mh39-48115
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/Heidelberg
Editor:Gurevych Iryna, Chris Biemann, Torsten Zesch
Document Type:Part of a Book
Language:English
Year of first Publication:2013
Date of Publication (online):2016/04/26
Publicationstate:Postprint
Reviewstate:(Verlags)-Lektorat
Tag:Computer-Mediated Communication; Corpus Linguistics; Decision Trees; Genitive Classification; Grammar; Machine Leaming
First Page:83
Last Page:88
Note:
The final publication is available at Springer via http://www.springer.com/de/book/9783642407215
DDC classes:400 Sprache / 410 Linguistik
Open Access?:ja
Leibniz-Classification:Sprache, Linguistik
Linguistics-Classification:Grammatikforschung
Linguistics-Classification:Korpuslinguistik
Licence (German):License LogoUrheberrechtlich geschützt