Logo du site
  • English
  • Français
  • Se connecter
Logo du site
  • English
  • Français
  • Se connecter
  1. Accueil
  2. Université de Neuchâtel
  3. Notices
  4. Europäisch eingestellt – Valenzforschung mit Parallelkorpora
 
  • Details
Options
Vignette d'image

Europäisch eingestellt – Valenzforschung mit Parallelkorpora

Auteur(s)
Duffner, Rolf 
Institut de langue et littérature allemandes 
Kamber, Alain 
Institut de langue et civilisation françaises 
Näf, Anton 
Institut des sciences du langage et de la communication 
Date de parution
2009
In
Linguistik online
Vol.
3
No
39
De la page
45
A la page
60
Revu par les pairs
1
Résumé
The aim of this research is to demonstrate with a case study the significance of corpus linguistics within the field of verb valency and bilingual lexicography. Specifically, we will introduce a corpus-based process that determines context-sensitive translations of polysemous word forms. Three steps are considered here in detail. First, text evidences of the verb einstellen in the monolingual Deutsches Referenzkorpus (DeReKo) will be examined with a collocation analysis. With help of the analytical instrument COSMAS II, the collocation profiles will then be summarized into a typology (senses and subsenses, valency structures and typical collocations). In a further step, the determined senses can be attributed to the corresponding translations of the word form einstellen in other languages (English, French and Italian) by means of the multilingual parallel corpus Europarl (Open Source Parallel Corpus OPUS). Finally, the results will be compared to the codifications of commonly used bilingual dictionaries.
Identifiants
https://libra.unine.ch/handle/123456789/8365
Type de publication
journal article
google-scholar
Présentation du portailGuide d'utilisationStratégie Open AccessDirective Open Access La recherche à l'UniNE Open Access ORCIDNouveautés

Service information scientifique & bibliothèques
Rue Emile-Argand 11
2000 Neuchâtel
contact.libra@unine.ch

Propulsé par DSpace, DSpace-CRIS & 4Science | v2022.02.00