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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Cross-lingual Parser Selection for Low-resource Languages
Željko Agic: Department of Computer Science, IT University of Copenhagen, Denmark
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Proceedings of the NoDaLiDa 2017 Workshop on Universal Dependencies, 22 May, Gothenburg Sweden
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NEALT Proceedings Series
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

Željko Agic
Cross-lingual Parser Selection for Low-resource Languages

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

Željko Agic
Cross-lingual Parser Selection for Low-resource Languages
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