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EnglishWe propose a pre-reordering scheme to improve the quality of machine translation by permuting the words of a source sentence to a target-like order. This is accomplished as a transition-based system that walks on the dependency parse tree of the sentence and emits words in target-like order, driven by a classifier trained on a parallel corpus. Our system is capable of generating arbitrary permutations up to flexible constraints determined by the choice of the classifier algorithm and input features.
| Titolo: | Pre-reordering for machine translation using transition-based walks on dependency parse trees |
| Autori interni: | |
| Anno del prodotto: | 2013 |
| Abstract: | We propose a pre-reordering scheme to improve the quality of machine translation by permuting the words of a source sentence to a target-like order. This is accomplished as a transition-based system that walks on the dependency parse tree of the sentence and emits words in target-like order, driven by a classifier trained on a parallel corpus. Our system is capable of generating arbitrary permutations up to flexible constraints determined by the choice of the classifier algorithm and input features. |
| Handle: | http://hdl.handle.net/11568/238561 |
| Appare nelle tipologie: | 4.3 Poster |
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