Korpusbasierte Exploration der Variation der nominalen Genitivmarkierung

Autor:	Bubenhofer, Noah, Hansen-Morath, Sandra, Konopka, Marek
Jazyk:	němčina
Rok vydání:	2014
Předmět:	Variation des Genitiv-Markers maschineller Lernansatz für statistische Auswertung Korpusdaten variation of the genitive marker machine learning approach for statistical analysis corpus data info:eu-repo/classification/ddc/830 ddc:830 info:eu-repo/classification/ddc/400 ddc:400
Druh dokumentu:	Článek
ISSN:	0301-3294 1613-0626
DOI:	10.1515/zgl-2014-0024
Popis:	The variation of the strong genitive marker of the singular noun has been treated by diverse accounts. Still there is a consensus that it is to a large extent systematic but can be approached appropriately only if many heterogeneous factors are taken into account. Over thirty variables influencing this variation have been proposed. However, it is actually unclear how effective they can be, and above all, how they interact. In this paper, the potential influencing variables are evaluated statistically in a machine learning approach and modelled in decision trees in order to predict the genitive marking variants. Working with decision trees based exclusively on statistically significant data enables us to determine what combination of factors is decisive in the choice of a marking variant of a given noun. Consequently the variation factors can be assessed with respect to their explanatory power for corpus data and put in a hierarchized order.
Databáze:	Networked Digital Library of Theses & Dissertations
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