%0 Conference Proceedings %T Phrase-based language modelling for statistical machine translation %A Romdhane, Achraf Ben %A Jamoussi, Salma %A Hamadou, Abdelmajid Ben %A Smaïli, Kamel %Y Federico, Marcello %Y Stüker, Sebastian %Y Yvon, François %S Proceedings of the 11th International Workshop on Spoken Language Translation: Evaluation Campaign %D 2014 %8 dec 4 5 %C Lake Tahoe, California %F romdhane-etal-2014-phrase %X In this paper, we present our submitted MT system for the IWSLT2014 Evaluation Campaign. We participated in the English-French translation task. In this article we focus on one of the most important component of SMT: the language model. The idea is to use a phrase-based language model. For that, sequences from the source and the target language models are retrieved and used to calculate a phrase n-gram language model. These phrases are used to rewrite the parallel corpus which is then used to calculate a new translation model. %U https://aclanthology.org/2014.iwslt-evaluation.13 %P 96-99