Reconsidering Language Identification for Written Language Resources

10325

Authors

nan

Abstract

AbstractThe task of identifying the language in which a given document (ranging from a sentence to thousands of pages) is written has been relatively well studied over several decades. Automated approachesto written language identification are used widely throughout research and industrial contexts, over both oral and written source materials. Despite this widespread acceptance, a review of previous research in written language identification reveals a number of questions which remain openand ripe for further investigation.

Keywords

nan

Full Content

nan

Labeled Text

AbstractThe task of identifying the language in which a given document (ranging from a sentence to thousands of pages) is written has been relatively well studied over several decades. Automated approachesto written language identification are used widely throughout research and industrial contexts, over both oral and written source materials. Despite this widespread acceptance, a review of previous research in written language identification reveals a number of questions which remain openand ripe for further investigation.

Publication Details

Paper ID:
10325
Year:
2006
Publication:
TIPSTER
Publication Type:
conf
DOI:
nan