A mathematical word problem solver for addition and subtraction problems

Thesis Type: Postgraduate

Institution Of The Thesis: Middle East Technical University, Turkey

Approval Date: 2020

Student: Mustafa Erolcan Er



Mathematical Word Problems are mathematical problems written in natural languages. These problems are crucial for mathematics education. This thesis aims to develop a model to solve addition and subtraction math word problems automatically. At first, an intermediate representation is introduced to mimic the human representation computationally. Dependency structures and part-of-speech tags are used to provide the auxiliary linguistic information about the problem. Circumscription idea is used to fill the blanks in intermediate representation. Then, an automata-based system has been designed to generate the equations for given problems with the help of domain specific verb categories. The model has been developed and evaluated with different datasets. In conclusion chapter, possible future studies that may use our system were discussed.