Abstract:
"Natural Language Processing(NLP) has given the opportunity of letting the machines
understand and preform various tasks over text and speech data involving different languages.
The research is also based on Natural Language Processing. Generating answers for Sinhala
Arithmetic Problems that contains multiplication and division. Sinhala language is only used
in Sri Lanka as the first language. Sinhala arithmetic problems have a different way of
expressing the characteristics of the problem comparing to other languages. Sinhala domain is
a less explored area since it’s a less resource domain. Answer generation for arithmetic
problems that contains multiplication and division is the research area that would be discussed
in this research.
As for the approach of the system MathQ has used Logistic regression for the question
classification part. With that the related work the research will build the solution for generating
answers for Sinhala arithmetic problems that contains multiplication and division. From
identifying the keywords in the problem after identifying the operator then for the calculation
of the answer using the NLP model. The NLP model will be trained and tested with the suitable
data sets to get better accuracy and to get better performance.
The solution has an improvement comparing to the related work that has made in the same
domain. The system has been tested over many times and have shown great results and have
been optimized to get the better performance and higher accuracy. The model can optimize for
further developments that may increase the scope of the system. "