Cross-lingual Inflection as a Data Augmentation Method for Parsing
Alberto Muñoz-Ortiz, Carlos Gómez‐Rodríguez, David Vilares · 2022
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 (xinflected) 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.