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EMNLP2021Top-tier venue

On the Relation between Syntactic Divergence and Zero-Shot Performance

Ofir Arviv, Dmitry Nikolaev, Taelin Karidi, Omri Abend

2021Year
3Citations
1Top-tier citations

Abstract

We explore the link between the extent to which syntactic relations are preserved in translation and the ease of correctly constructing a parse tree in a zero-shot setting. While previous work suggests such a relation, it tends to focus on the macro level and not on the level of individual edges-a gap we aim to address. As a test case, we take the transfer of Universal Dependencies (UD) parsing from English to a diverse set of languages and conduct two sets of experiments. In one, we analyze zero-shot performance based on the extent to which English source edges are preserved in translation. In another, we apply three linguistically motivated transformations to UD, creating more cross-lingually stable versions of it, and assess their zero-shot parsability. In order to compare parsing performance across different schemes, we perform extrinsic evaluation on the downstream task of cross-lingual relation extraction (RE) using a subset of a popular English RE benchmark translated to Russian and Korean. 1 In both sets of experiments, our results suggest a strong relation between cross-lingual stability and zero-shot parsing performance.

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