Phrase-based Language Modelling for Statistical Machine Translation - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2014

Phrase-based Language Modelling for Statistical Machine Translation

Résumé

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 par-allel corpus which is then used to calculate a new translation model.
Fichier principal
Vignette du fichier
iwslt2014-submission1.pdf (122.76 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01112760 , version 1 (03-02-2015)

Identifiants

  • HAL Id : hal-01112760 , version 1

Citer

Achraf Ben Romdhane, Salma Jamoussi, Abdelmajid Ben Hamadou, Kamel Smaïli. Phrase-based Language Modelling for Statistical Machine Translation. 11th International Workshop on Spoken Language, Dec 2014, Lake Tahoe, United States. ⟨hal-01112760⟩
212 Consultations
246 Téléchargements

Partager

Gmail Facebook X LinkedIn More