Work

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

Year: 2008

Type: conference-paper

Abstract: The 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.

Source: Language Resources and Evaluation Conference (LREC)

DOI: 10.63317/4k7dzf67acvm

Author: Beatrice Alex

Institution: University of Edinburgh

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funder: Economic and Social Research Council

OpenAlex ID: W1522653827