Header

UZH-Logo

Maintenance Infos

Differences between Swiss High German and German German via data-driven methods


Schneider, Gerold (2018). Differences between Swiss High German and German German via data-driven methods. In: SwissText 2018: 3rd Swiss Text Analytics Conference, Winterthur, 12 June 2018 - 13 June 2018, Epub ahead of print.

Abstract

This study uses data-driven methods to detect and interpret differences between the High German used as standard language of written communication in Switzerland, and German High German. The comparison is based on a comparable web corpus of two million sentences, one million from Switzerland and one million from Germany. We describe differences at the levels of lexis, morphosyntax, and syntax, and compare to previously described differences. We show that data-driven methods manage to detect a wide range of differences.

Abstract

This study uses data-driven methods to detect and interpret differences between the High German used as standard language of written communication in Switzerland, and German High German. The comparison is based on a comparable web corpus of two million sentences, one million from Switzerland and one million from Germany. We describe differences at the levels of lexis, morphosyntax, and syntax, and compare to previously described differences. We show that data-driven methods manage to detect a wide range of differences.

Statistics

Downloads

6 downloads since deposited on 24 May 2018
6 downloads since 12 months
Detailed statistics

Additional indexing

Item Type:Conference or Workshop Item (Other), not_refereed, original work
Communities & Collections:06 Faculty of Arts > Institute of German Studies
06 Faculty of Arts > English Department
06 Faculty of Arts > Institute of Computational Linguistics
06 Faculty of Arts > Center for Linguistics
Dewey Decimal Classification:820 English & Old English literatures
Language:English, German
Event End Date:13 June 2018
Deposited On:24 May 2018 06:50
Last Modified:22 Jun 2018 10:35
OA Status:Closed
Related URLs:https://www.swisstext.org/accepted.html#scientific (Organisation)

Download