Article ID Journal Published Year Pages File Type
6902057 Procedia Computer Science 2017 8 Pages PDF
Abstract
This paper shows that, by detecting more linguistic patterns and integrating them into En-Ar SMT system, translation quality could be improved with other integration methods. Yet, the results show which path is worth to follow and clarifies the perspective that linguistic features are not handled properly in the statistically learned models.
Related Topics
Physical Sciences and Engineering Computer Science Computer Science (General)
Authors
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