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.

翻译：文字题求解是一项具有挑战性的自然语言处理任务，旨在解决以自然语言描述的数学问题。近年来，针对印度语言的文字题求解器研究重新受到关注。本文构建了一个基于动词的印地语算术文字题求解器，并创建了印地语动词分类数据。在涉及加减运算的文字题中，动词对识别解题所需操作集合起着关键作用。我们提出一种基于规则的求解器，通过动词分类识别文字题中的操作并生成答案。为完成动词分类，我们探索了多种方法并进行了对比研究。