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arXiv · 2205.09350

Cross-lingual Inflection as a Data Augmentation Method for Parsing

Alberto Muñoz-Ortiz·Carlos Gómez-Rodríguez·David Vilares
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Abstract

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.

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Alberto Muñoz-Ortiz, Carlos Gómez-Rodríguez, David Vilares. 2022-05-19. Cross-lingual Inflection as a Data Augmentation Method for Parsing. https://arxiv.org/abs/2205.09350

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