LIUM's SMT Machine Translation Systems for WMT 2011
Résumé
This paper describes the development of French–English and English–French statistical machine translation systems for the 2011 WMT shared task evaluation. Our main systems were standard phrase-based statistical systems based on the Moses decoder, trained on the provided data only, but we also performed initial experiments with hierarchical systems. Additional, new features this year include improved translation model adaptation using monolingual data, a continuous space language model and the treatment of unknown words.
Domaines
| Origine | Fichiers éditeurs autorisés sur une archive ouverte |
|---|---|
| Licence |
![]()
Fait partie de hal-00625481 Objet présenté à une conférence Patrik Lambert, Holger Schwenk, Christophe Servan, Sadaf Abdul-Rauf. Investigations on Translation Model Adaptation Using Monolingual Data. Sixth Workshop on Statistical Machine Translation, Jul 2011, Edinburgh, United Kingdom. pp.284-293. ⟨hal-00625481⟩