Reconsidering Language Identification for Written Language Resources

Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC 2006)

Abstract

The 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.