@inproceedings{bick-2014-ml,
title = "{ML}-Optimization of Ported Constraint Grammars",
author = "Bick, Eckhard",
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/24_Paper.pdf",
pages = "4483--4487",
abstract = "In this paper, we describe how a Constraint Grammar with linguist-written rules can be optimized and ported to another language using a Machine Learning technique. The effects of rule movements, sorting, grammar-sectioning and systematic rule modifications are discussed and quantitatively evaluated. Statistical information is used to provide a baseline and to enhance the core of manual rules. The best-performing parameter combinations achieved part-of-speech F-scores of over 92 for a grammar ported from English to Danish, a considerable advance over both the statistical baseline (85.7), and the raw ported grammar (86.1). When the same technique was applied to an existing native Danish CG, error reduction was 10{\%} (F=96.94).",
}
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%0 Conference Proceedings
%T ML-Optimization of Ported Constraint Grammars
%A Bick, Eckhard
%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 bick-2014-ml
%X In this paper, we describe how a Constraint Grammar with linguist-written rules can be optimized and ported to another language using a Machine Learning technique. The effects of rule movements, sorting, grammar-sectioning and systematic rule modifications are discussed and quantitatively evaluated. Statistical information is used to provide a baseline and to enhance the core of manual rules. The best-performing parameter combinations achieved part-of-speech F-scores of over 92 for a grammar ported from English to Danish, a considerable advance over both the statistical baseline (85.7), and the raw ported grammar (86.1). When the same technique was applied to an existing native Danish CG, error reduction was 10% (F=96.94).
%U http://www.lrec-conf.org/proceedings/lrec2014/pdf/24_Paper.pdf
%P 4483-4487
Markdown (Informal)
[ML-Optimization of Ported Constraint Grammars](http://www.lrec-conf.org/proceedings/lrec2014/pdf/24_Paper.pdf) (Bick, LREC 2014)
ACL
- Eckhard Bick. 2014. ML-Optimization of Ported Constraint Grammars. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 4483–4487, Reykjavik, Iceland. European Language Resources Association (ELRA).