In this paper, we propose a method for automatic clause boundary annotation in the Hindi Dependency Treebank. We show that the clausal information implicitly encoded in a dependency structure can be made explicit with no or less human intervention. We exercised the proposed approach on 16,000 sentences of Hindi Dependency Treebank. Our approach gives an accuracy of 94.44% for clause boundary identification evaluated over 238 clauses. The resultant corpus has varied usages and can be utilized for developing a statistical clause boundary identifier.
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