1887
Volume 20, Issue 1
  • ISSN 1384-6655
  • E-ISSN: 1569-9811
GBP
Buy:£15.00 + Taxes

Abstract

This article discusses a corpus-based method for the automatic identification of synonyms across different varieties of the same language. This method, based on the paradigm of distributional semantics, quantifies semantic similarity on the basis of contextual similarity in two comparable corpora. In two case studies for Dutch and German, we show that it automatically identifies the correct synonym for 31% and 25% of the target words, respectively. A manual error analysis moreover indicates that many additional synonyms are very close in the distributional model, while most other distributional neighbours are semantically related to the target word along other dimensions than synonymy. On the basis of these results, we argue that distributional-semantic methods can play a crucial role in the further evolution of corpus-based lexical semantics to a more quantitative discipline.

Loading

Article metrics loading...

/content/journals/10.1075/ijcl.20.1.03pei
2015-01-01
2018-10-20
Loading full text...

Full text loading...

References

http://instance.metastore.ingenta.com/content/journals/10.1075/ijcl.20.1.03pei
Loading
This is a required field
Please enter a valid email address
Approval was successful
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error