|
|
Arabic to English Morphology Based Statistical Machine Translation System
|
|
|
Abstract: The aim of this work is to improve the translation quality of state-of-the-art statistical machine translation systems. We achieve this by optimizing the training process, which is an important phase in building SMT systems. We want to optimize the training process as much as we can to get the most out of the training data available. This can be achieved in two ways: One way requires linguistic resources such as lexicons and morphological analyzers, while the other one makes no use of any linguistic resources.
|
| Publication year |
2005
|
| Organization Name |
|
| Department |
Agricultural Expert System Development
|
| Author(s) from ARC |
|
| Agris Categories |
Documentation and information
|
| Proposed Agrovoc |
Statistical Machine Translation; Morphology; Word Alignments; Parameter Tuning;
|
| Publication Type |
Master Thesis
|