  Word problem Solving is a challenging NLP task that deals with solving
mathematical problems described in natural language. Recently, there has been
renewed interest in developing word problem solvers for Indian languages. As
part of this paper, we have built a Hindi arithmetic word problem solver which
makes use of verbs. Additionally, we have created verb categorization data for
Hindi. Verbs are very important for solving word problems with
addition/subtraction operations as they help us identify the set of operations
required to solve the word problems. We propose a rule-based solver that uses
verb categorisation to identify operations in a word problem and generate
answers for it. To perform verb categorisation, we explore several approaches
and present a comparative study.
