Rapid Deployment of Phrase Structure Parsing for Related Languages: A Case Study of Insular Scandinavian

Anton Karl Ingason, Hrafn Loftsson, Eiríkur Rögnvaldsson, Einar Freyr Sigurðsson, Joel C. Wallenberg

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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%.
Anthology ID:
L14-1661
Volume:
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)
Month:
May
Year:
2014
Address:
Reykjavik, Iceland
Editors:
Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Hrafn Loftsson, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
91–95
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/855_Paper.pdf
DOI:
Bibkey:
Cite (ACL):
Anton Karl Ingason, Hrafn Loftsson, Eiríkur Rögnvaldsson, Einar Freyr Sigurðsson, and Joel C. Wallenberg. 2014. Rapid Deployment of Phrase Structure Parsing for Related Languages: A Case Study of Insular Scandinavian. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 91–95, Reykjavik, Iceland. European Language Resources Association (ELRA).
Cite (Informal):
Rapid Deployment of Phrase Structure Parsing for Related Languages: A Case Study of Insular Scandinavian (Ingason et al., LREC 2014)
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http://www.lrec-conf.org/proceedings/lrec2014/pdf/855_Paper.pdf
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