This research paper proposes work carried in machine translation. It shows the comparison of various techniques like SMT, SSER, EBMT, RBMT etc used for machine translation. After going through the result of various techniques it conclude that still better result can be gained. Thus proposes an idea of using Fuzzy logic tool to improve the natural learning process and get better result around 81.7 percentage. This work shows the implementation of the tool for refining the result in example based machine translation using fuzzy logic.
Rana, M., & Atique, M. (2016). Use of Fuzzy Tool for Example Based Machine Translation. In Procedia Computer Science (Vol. 79, pp. 199–206). Elsevier B.V. https://doi.org/10.1016/j.procs.2016.03.026