Reconsidering language identification for written language resources

Baden Hughes; Timothy Baldwin; Steven Bird; Jeremy Nicholson; Andrew MacKinlay

Reconsidering language identification for written language resources

Baden Hughes, Timothy Baldwin, Steven Bird, Jeremy Nicholson, Andrew MacKinlay

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper published in Proceedings › peer-review

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 approaches to 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 open and ripe for further investigation.

Original language	English
Title of host publication	Proceedings, 5th International Conference on Language Resources and Evaluation (LREC2006)
Publisher	European Language Resources Association (ELRA)
Pages	485-488
Number of pages	4
Publication status	Published - 2006
Externally published	Yes
Event	5th International Conference on Language Resources and Evaluation, LREC 2006 - Genoa, Italy Duration: 22 May 2006 → 28 May 2006

Conference

Conference	5th International Conference on Language Resources and Evaluation, LREC 2006
Country/Territory	Italy
City	Genoa
Period	22/05/06 → 28/05/06

Access to Document

http://hdl.handle.net/11343/34159

Cite this

@inproceedings{03e2e229670846978c65b8bddc5637e8,

title = "Reconsidering language identification for written language resources",

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 approaches to 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 open and ripe for further investigation.",

author = "Baden Hughes and Timothy Baldwin and Steven Bird and Jeremy Nicholson and Andrew MacKinlay",

year = "2006",

language = "English",

pages = "485--488",

booktitle = "Proceedings, 5th International Conference on Language Resources and Evaluation (LREC2006)",

publisher = "European Language Resources Association (ELRA)",

note = "5th International Conference on Language Resources and Evaluation, LREC 2006 ; Conference date: 22-05-2006 Through 28-05-2006",

}

Hughes, B, Baldwin, T, Bird, S, Nicholson, J & MacKinlay, A 2006, Reconsidering language identification for written language resources. in Proceedings, 5th International Conference on Language Resources and Evaluation (LREC2006). European Language Resources Association (ELRA), pp. 485-488, 5th International Conference on Language Resources and Evaluation, LREC 2006, Genoa, Italy, 22/05/06. <http://hdl.handle.net/11343/34159>

Reconsidering language identification for written language resources. / Hughes, Baden; Baldwin, Timothy; Bird, Steven et al.
Proceedings, 5th International Conference on Language Resources and Evaluation (LREC2006). European Language Resources Association (ELRA), 2006. p. 485-488.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper published in Proceedings › peer-review

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T1 - Reconsidering language identification for written language resources

AU - Hughes, Baden

AU - Baldwin, Timothy

AU - Bird, Steven

AU - Nicholson, Jeremy

AU - MacKinlay, Andrew

PY - 2006

Y1 - 2006

N2 - 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 approaches to 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 open and ripe for further investigation.

AB - 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 approaches to 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 open and ripe for further investigation.

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M3 - Conference Paper published in Proceedings

AN - SCOPUS:85039912916

SP - 485

EP - 488

BT - Proceedings, 5th International Conference on Language Resources and Evaluation (LREC2006)

PB - European Language Resources Association (ELRA)

T2 - 5th International Conference on Language Resources and Evaluation, LREC 2006

Y2 - 22 May 2006 through 28 May 2006

ER -

Reconsidering language identification for written language resources

Abstract

Conference

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Cite this