@inproceedings{degaetano-ortlieb-etal-2012-feature,
title = "Feature Discovery for Diachronic Register Analysis: a Semi-Automatic Approach",
author = "Degaetano-Ortlieb, Stefania and
Lapshinova-Koltunski, Ekaterina and
Teich, Elke",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Do{\u{g}}an, Mehmet U{\u{g}}ur and
Maegaard, Bente and
Mariani, Joseph and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Eighth International Conference on Language Resources and Evaluation ({LREC}'12)",
month = may,
year = "2012",
address = "Istanbul, Turkey",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2012/pdf/268_Paper.pdf",
pages = "2786--2790",
abstract = "In this paper, we present corpus-based procedures to semi-automatically discover features relevant for the study of recent language change in scientific registers. First, linguistic features potentially adherent to recent language change are extracted from the SciTex Corpus. Second, features are assessed for their relevance for the study of recent language change in scientific registers by means of correspondence analysis. The discovered features will serve for further investigations of the linguistic evolution of newly emerged scientific registers.",
}
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%0 Conference Proceedings
%T Feature Discovery for Diachronic Register Analysis: a Semi-Automatic Approach
%A Degaetano-Ortlieb, Stefania
%A Lapshinova-Koltunski, Ekaterina
%A Teich, Elke
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Doğan, Mehmet Uğur
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC’12)
%D 2012
%8 May
%I European Language Resources Association (ELRA)
%C Istanbul, Turkey
%F degaetano-ortlieb-etal-2012-feature
%X In this paper, we present corpus-based procedures to semi-automatically discover features relevant for the study of recent language change in scientific registers. First, linguistic features potentially adherent to recent language change are extracted from the SciTex Corpus. Second, features are assessed for their relevance for the study of recent language change in scientific registers by means of correspondence analysis. The discovered features will serve for further investigations of the linguistic evolution of newly emerged scientific registers.
%U http://www.lrec-conf.org/proceedings/lrec2012/pdf/268_Paper.pdf
%P 2786-2790
Markdown (Informal)
[Feature Discovery for Diachronic Register Analysis: a Semi-Automatic Approach](http://www.lrec-conf.org/proceedings/lrec2012/pdf/268_Paper.pdf) (Degaetano-Ortlieb et al., LREC 2012)
ACL