PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Explicit Length Modelling for Statistical Machine Translation
Joan Albert Silvestre-Cerda, Jesús Andrés-Ferrer and Jorge Civera
In: IbPRIA 2011(2011).


Explicit length modelling has been previously explored in statistical pattern recognition with successful results. In this paper, two length models along with two parameter estimation methods for statis- tical machine translation (SMT) are presented. More precisely, we in- corporate explicit length modelling in a state-of-the-art log-linear SMT system as an additional feature function in order to prove the contribu- tion of length information. Finally, promising experimental results are reported on a reference SMT task.

EPrint Type:Conference or Workshop Item (Talk)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Learning/Statistics & Optimisation
Natural Language Processing
ID Code:8796
Deposited By:Alfons Juan
Deposited On:21 February 2012