@inproceedings{vor-der-bruck-etal-2014-collex,
title = "{C}ol{L}ex.en: Automatically Generating and Evaluating a Full-form Lexicon for {E}nglish",
author = {vor der Br{\"u}ck, Tim and
Mehler, Alexander and
Islam, Zahurul},
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Loftsson, Hrafn and
Maegaard, Bente and
Mariani, Joseph and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Ninth International Conference on Language Resources and Evaluation ({LREC}'14)",
month = may,
year = "2014",
address = "Reykjavik, Iceland",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2014/pdf/1099_Paper.pdf",
pages = "3756--3760",
abstract = "The paper describes a procedure for the automatic generation of a large full-form lexicon of English. We put emphasis on two statistical methods to lexicon extension and adjustment: in terms of a letter-based HMM and in terms of a detector of spelling variants and misspellings. The resulting resource, {\textbackslash}collexen, is evaluated with respect to two tasks: text categorization and lexical coverage by example of the SUSANNE corpus and the {\textbackslash}openanc.",
}
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%0 Conference Proceedings
%T ColLex.en: Automatically Generating and Evaluating a Full-form Lexicon for English
%A vor der Brück, Tim
%A Mehler, Alexander
%A Islam, Zahurul
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Loftsson, Hrafn
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC’14)
%D 2014
%8 May
%I European Language Resources Association (ELRA)
%C Reykjavik, Iceland
%F vor-der-bruck-etal-2014-collex
%X The paper describes a procedure for the automatic generation of a large full-form lexicon of English. We put emphasis on two statistical methods to lexicon extension and adjustment: in terms of a letter-based HMM and in terms of a detector of spelling variants and misspellings. The resulting resource, \textbackslashcollexen, is evaluated with respect to two tasks: text categorization and lexical coverage by example of the SUSANNE corpus and the \textbackslashopenanc.
%U http://www.lrec-conf.org/proceedings/lrec2014/pdf/1099_Paper.pdf
%P 3756-3760
Markdown (Informal)
[ColLex.en: Automatically Generating and Evaluating a Full-form Lexicon for English](http://www.lrec-conf.org/proceedings/lrec2014/pdf/1099_Paper.pdf) (vor der Brück et al., LREC 2014)
ACL