@inproceedings{ingason-etal-2014-rapid,
title = "Rapid Deployment of Phrase Structure Parsing for Related Languages: A Case Study of {I}nsular {S}candinavian",
author = {Ingason, Anton Karl and
Loftsson, Hrafn and
R{\"o}gnvaldsson, Eir{\'\i}kur and
Sigur{\dh}sson, Einar Freyr and
Wallenberg, Joel C.},
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/855_Paper.pdf",
pages = "91--95",
abstract = "This paper presents ongoing work that aims to improve machine parsing of Faroese using a combination of Faroese and Icelandic training data. We show that even if we only have a relatively small parsed corpus of one language, namely 53,000 words of Faroese, we can obtain better results by adding information about phrase structure from a closely related language which has a similar syntax. Our experiment uses the Berkeley parser. We demonstrate that the addition of Icelandic data without any other modification to the experimental setup results in an f-measure improvement from 75.44{\%} to 78.05{\%} in Faroese and an improvement in part-of-speech tagging accuracy from 88.86{\%} to 90.40{\%}.",
}
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<abstract>This paper presents ongoing work that aims to improve machine parsing of Faroese using a combination of Faroese and Icelandic training data. We show that even if we only have a relatively small parsed corpus of one language, namely 53,000 words of Faroese, we can obtain better results by adding information about phrase structure from a closely related language which has a similar syntax. Our experiment uses the Berkeley parser. We demonstrate that the addition of Icelandic data without any other modification to the experimental setup results in an f-measure improvement from 75.44% to 78.05% in Faroese and an improvement in part-of-speech tagging accuracy from 88.86% to 90.40%.</abstract>
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%0 Conference Proceedings
%T Rapid Deployment of Phrase Structure Parsing for Related Languages: A Case Study of Insular Scandinavian
%A Ingason, Anton Karl
%A Loftsson, Hrafn
%A Rögnvaldsson, Eiríkur
%A Sigur\dhsson, Einar Freyr
%A Wallenberg, Joel C.
%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 ingason-etal-2014-rapid
%X This paper presents ongoing work that aims to improve machine parsing of Faroese using a combination of Faroese and Icelandic training data. We show that even if we only have a relatively small parsed corpus of one language, namely 53,000 words of Faroese, we can obtain better results by adding information about phrase structure from a closely related language which has a similar syntax. Our experiment uses the Berkeley parser. We demonstrate that the addition of Icelandic data without any other modification to the experimental setup results in an f-measure improvement from 75.44% to 78.05% in Faroese and an improvement in part-of-speech tagging accuracy from 88.86% to 90.40%.
%U http://www.lrec-conf.org/proceedings/lrec2014/pdf/855_Paper.pdf
%P 91-95
Markdown (Informal)
[Rapid Deployment of Phrase Structure Parsing for Related Languages: A Case Study of Insular Scandinavian](http://www.lrec-conf.org/proceedings/lrec2014/pdf/855_Paper.pdf) (Ingason et al., LREC 2014)
ACL