Automatic classification of Russian texts for didactic purposes
Birzer, Sandra; Zinsmeister, Heike; Batinić, Dolores (2017): Automatic classification of Russian texts for didactic purposes, in: Trudy meždunarodnoj konferencii „Korpusnaja lingvistika - 2017“. 27-30 ijunja 2017 g., Sankt-Peterburg, 1. Auflage Sankt-Peterburg: Izdatel´stvo Sankt-Peterburgskogo gosudarstvennogo universiteta, S. 9–15, doi: 10.5167/uzh-186960.
Faculty/Chair:
Author:
 ;  ; 
Title of the compilation:
Trudy meždunarodnoj konferencii „Korpusnaja lingvistika - 2017“. 27-30 ijunja 2017 g., Sankt-Peterburg
Publisher Information:
Year of publication:
2017
Pages:
Edition:
1
Language:
German
DOI:
Abstract:
In this paper we present the results of an automatic classification of Russian texts into three levels of difficulty. Our aim is to build a study corpus of Russian, in which a L2 student is able to select texts of a desired complexity. We are building on a pitot study, in which we classified Russian texts into two levels of difficulty. In the current paper, we apply the classification to an extended corpus of 577 labelled texts. The best-performing combination of features achieves an accuracy of 0. 74.within at most one level difference.
GND Keywords:
Russisch
 ; 
Fremdsprache
 ; 
Textverstehen
 ; 
Schwierigkeitsgrad
Keywords:
L2 Russian
 ; 
didactic corpus
 ; 
text complexity
 ; 
text classification
DDC Classification:
RVK Classification:
KG 1301    
International Distribution:
Yes:
Type:
Contribution to an Articlecollection
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Activation date:
November 30, 2018
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published on
February 5, 2024

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Permalink https://fis.uni-bamberg.de/handle/uniba/44877