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Advances in Cross-Lingual Syntactic Transfer

Advances in Cross-Lingual Syntactic Transfer

This video was recorded at NIPS Workshops, Lake Tahoe 2012. The idea to use annotated resources from one language to learn models for another has been around for at least a decade. Typically these models have relied on access to parallel data. However, recent approaches have focused on "direct" cross-lingual transfer, and in particular, delexicalized transfer. Delexicalized parsing models are conditioned only on properties of the input that are available across languages, typically induced tags or clusters. Since these properties are universally available, it is possible to directly use a parser trained on English for every other language. This simple method has shown itself to be surprisingly effective and outperforms the best weakly-supervised models by a significant margin. However, the... Show More

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