Web: http://arxiv.org/abs/2201.11374

Jan. 28, 2022, 2:10 a.m. | Jivnesh Sandhan, Laxmidhar Behera, Pawan Goyal

cs.CL updates on arXiv.org arxiv.org

Existing state of the art approaches for Sanskrit Dependency Parsing (SDP),
are hybrid in nature, and rely on a lexicon-driven shallow parser for
linguistically motivated feature engineering. However, these methods fail to
handle out of vocabulary (OOV) words, which limits their applicability in
realistic scenarios. On the other hand, purely data-driven approaches do not
match the performance of hybrid approaches due to the labelled data sparsity.
Thus, in this work, we investigate the following question: How far can we push …

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