engleski

Multilingual projection for parsing truly low-resource languages

We propose a novel approach to cross-lingual part-of- speech tagging and dependency parsing for truly low- resource languages. Our annotation projection-based approach yields tagging and parsing models for over 100 languages. All that is needed are freely available parallel texts, and taggers and parsers for resource-rich languages. The empirical evaluation across 30 test languages shows that our method consistently provides top-level accuracies, close to established upper bounds, and outperforms several competitive baselines.

dependency parsing ; cross-lingual ; low-resource languages

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