Two-stage Approach for Hindi Dependency Parsing Using MaltParser
Naman Jain, Karan Singla, Aniruddha Tammewar, Sambhav Jain · 2012
In this paper, we present our approach towards dependency parsing of Hindi language as a part of Hindi Shared Task on Parsing, COLING 2012. Our approach includes the effect of using different settings available in Malt Parser following the two-step parsing strategy i.e. splitting the data into interChunks and intraChunks to obtain the best possible LAS 1 , UAS 2 and LA 3 accuracy. Our system achieved best LAS of 90.99% for Gold Standard track and second best LAS of 83.91% for Automated data.