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Solving Directly-Stated Arithmetic Word Problems in Chinese

This paper addresses the problem of solving arithmetic word problems that are directly stated in Chinese without any implicit quantity relations. This problem relates with the multiple challenging problems in artificial intelligent area. This paper proposes multiple new methods to overcome the challenges of the problem and forms a four-step algorithm. The first step is to parse the input math problem into phrases with property annotation. The second one is to use a pool of the semantic models to convert a math problem into a set of high-order equations. The third one is a procedure to solve the set of equations. The last step is to convert the machine solution into a humanoid solution. The experimental results on 140 arithmetic word problems from the text books show that the proposed method has a very good potential.