Abstract
The distance phrase reordering (DPR) model mainly focuses on the application of machine learning (ML) techniques to a specific problem in machine translation: learning the grammatical rules and content dependent changes, which are simplified as phrase reorderings. It models the mentioned problem with a classification framework and aims at improving the fluency of machine translation.
| Translated title of the contribution | Distance phrase reordering for MOSES |
|---|---|
| Original language | English |
| Edition | 1.0 |
| Publication status | Published - 2010 |