Article | Proceedings of the NoDaLiDa 2017 Workshop on Universal Dependencies, 22 May, Gothenburg Sweden | Cross-lingual Parser Selection for Low-resource Languages
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Title:
Cross-lingual Parser Selection for Low-resource Languages
Author:
Željko Agic: Department of Computer Science, IT University of Copenhagen, Denmark
Download:
Full text (pdf)
Year:
2017
Conference:
Proceedings of the NoDaLiDa 2017 Workshop on Universal Dependencies, 22 May, Gothenburg Sweden
Issue:
135
Article no.:
001
Pages:
1-10
No. of pages:
10
Publication type:
Abstract and Fulltext
Published:
2017-05-29
ISBN:
978-91-7685-501-0
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Series:
NEALT Proceedings Series
Publisher:
Linköping University Electronic Press, Linköpings universitet


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In multilingual dependency parsing, transferring delexicalized models provides unmatched language coverage and competitive scores, with minimal requirements. Still, selecting the single best parser for any target language poses a challenge. Here, we propose a lean method for parser selection. It offers top performance, and it does so without disadvantaging the truly low-resource languages. We consistently select appropriate source parsers for our target languages in a realistic cross-lingual parsing experiment.

Proceedings of the NoDaLiDa 2017 Workshop on Universal Dependencies, 22 May, Gothenburg Sweden

Author:
Željko Agic
Title:
Cross-lingual Parser Selection for Low-resource Languages
References:

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Proceedings of the NoDaLiDa 2017 Workshop on Universal Dependencies, 22 May, Gothenburg Sweden

Author:
Željko Agic
Title:
Cross-lingual Parser Selection for Low-resource Languages
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Last updated: 2017-02-21