  We propose a morphology-based method for low-resource (LR) dependency
parsing. We train a morphological inflector for target LR languages, and apply
it to related rich-resource (RR) treebanks to create cross-lingual
(x-inflected) treebanks that resemble the target LR language. We use such
inflected treebanks to train parsers in zero- (training on x-inflected
treebanks) and few-shot (training on x-inflected and target language treebanks)
setups. The results show that the method sometimes improves the baselines, but
not consistently.
