Cross-Lingual Dependency Parsing with Late Decoding for Truly Low-Resource Languages

EACL 2017  ·  Michael Schlichtkrull, Anders S{\o}gaard ·

In cross-lingual dependency annotation projection, information is often lost during transfer because of early decoding. We present an end-to-end graph-based neural network dependency parser that can be trained to reproduce matrices of edge scores, which can be directly projected across word alignments. We show that our approach to cross-lingual dependency parsing is not only simpler, but also achieves an absolute improvement of 2.25{\%} averaged across 10 languages compared to the previous state of the art.

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