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- W2251372011 abstract "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." @default.
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- W2251372011 date "2012-12-01" @default.
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- W2251372011 title "Two-stage Approach for Hindi Dependency Parsing Using MaltParser" @default.
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