Multilingual Projection for Parsing Truly Low-Resource Languages
2016-01-01TACL 2016Unverified0· sign in to hype
{\v{Z}}eljko Agi{\'c}, Anders Johannsen, Barbara Plank, H{\'e}ctor Mart{\'\i}nez Alonso, Natalie Schluter, Anders S{\o}gaard
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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.