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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