Cross-lingual Inflection as a Data Augmentation Method for Parsing

被引：0
|
作者：
Munoz-Ortiz, Alberto [1 ]
Gomez-Rodriguez, Carlos [1 ]
Vilares, David [1 ]
机构：
[1] Univ A Coruna, CITIC, Dept Ciencias Comp & Tecnol Informac, Campus Elvina S-N, La Coruna 15071, Spain
来源：
PROCEEDINGS OF THE THIRD WORKSHOP ON INSIGHTS FROM NEGATIVE RESULTS IN NLP (INSIGHTS 2022) | 2022年
基金：
欧洲研究理事会;
关键词：
D O I：
暂无
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
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.
引用
收藏
页码：54 / 61
页数：8
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