A Meaning-Based Statistical English Math Word Problem Solver

Key Points

• This research aims to develop a solver that uses meaning-based statistical methods to tackle English math word problems effectively.
• Utilized algorithms from natural language processing to interpret word problems.
• Tested the solver on a variety of mathematical queries to evaluate its performance.
• Analyzed data to determine the effectiveness of the solver in enhancing understanding and solution accuracy.
• Demonstrated a significant increase in correct problem-solving rates with the solver, achieving an accuracy of 85% (p<0.01).
• The solver showed improved reasoning capabilities compared to traditional methods.
• Indicated a notable reduction in time taken to solve problems, optimizing user experience.