| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 484192 | Procedia Computer Science | 2016 | 8 Pages |
Abstract
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
