Cross-lingual Parser Selection for Low-resource Languages

Željko Agic
Department of Computer Science, IT University of Copenhagen, Denmark

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

Linköping Electronic Conference Proceedings 135:1, s. 1-10

NEALT Proceedings Series 31:1, p. 1-10

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Publicerad: 2017-05-29

ISBN: 978-91-7685-501-0

ISSN: 1650-3686 (tryckt), 1650-3740 (online)


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.


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