• Divya Paikaray

So far, many systems have been suggested to integrate machines in the solving of mathematical problems in a variety of disciplines, including algebra, geometry, physics, and mechanics. This letter provides an up-to-date technical overview of these systems and methods offered by a number of research organizations. The differences between the systems are highlighted, and a unifying design is found that has been used in the majority of these methods. The main achievements of each approach are emphasized. The main advantages and drawbacks of the methods are also addressed. This article addresses the difficulty of understanding mathematics expressed in plain language. This paper examines the role of ad mathematics in the algorithmic workings of natural language. So far, many methods for solving mathematical problems in a variety of fields, including as algebra, geometry, physics, and mechanics, have been described. This communication includes state-of-the-art technical evaluations on various systems and methods from different research organizations.

Algorithm, Automated Reasoning, Knowledge Engineering, Mathematical Problems, Natural Language Processing.

"Mathematical Algorithms in Natural Language Processing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.527-531, March-2019, Available :http://www.jetir.org/papers/JETIRFT06100.pdf

"Mathematical Algorithms in Natural Language Processing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp527-531, March-2019, Available at : http://www.jetir.org/papers/JETIRFT06100.pdf