Delexicalized transfer parsing for low-resource languages using transformed and combined treebanks
Ayan Das, Affan Zaffar, Sudeshna Sarkar · 2017
This paper describes the IIT Kharagpur dependency parsing system in CoNLL-2017 shared task on Multilingual Parsing from Raw Text to Universal Dependencies.We primarily focus on the lowresource languages (surprise languages).We have developed a framework to combine multiple treebanks to train parsers for low resource languages by a delexicalization method.We have applied transformation on the source language treebanks based on syntactic features of the low-resource language to improve performance of the parser.In the official evaluation, our system achieves macro-averaged LAS scores of 67.61 and 37.16 on the entire blind test data and the surprise language test data respectively.