Comparing Corpus-based to Web-based Lookup Techniques for Automatic English Inclusion Detection

9731

Authors

nan

Abstract

AbstractThe influence of English as a global language continues to grow to an extent that its words and expressions permeate the original forms of other languages. This paper evaluates a modular Web-based sub-component of an existing English inclusion classifier and compares it to a corpus-based lookup technique. Both approaches are evaluated on a German gold standard data set. It is demonstrated to what extent the Web-based approach benefits from the amount of data available online and the fact that this data is constantly updated.

Keywords

nan

Full Content

nan

Labeled Text

AbstractThe influence of English as a global language continues to grow to an extent that its words and expressions permeate the original forms of other languages. This paper evaluates a modular Web-based sub-component of an existing English inclusion classifier and compares it to a corpus-based lookup technique. Both approaches are evaluated on a German gold standard data set. It is demonstrated to what extent the Web-based approach benefits from the amount of data available online and the fact that this data is constantly updated.

Publication Details

Paper ID:
9731
Year:
2008
Publication:
TIPSTER
Publication Type:
conf
DOI:
nan