Our Research

Speaker: Laurent Besacier, professor at Université Joseph Fourier, Grenoble, France

This presentation will focus on two topics currently addressed in Statistical Machine Translation at LIG.

The first one is related to Confidence Estimation at word level. We investigate various types of features to circumvent this problem, including lexical, syntactic, semantic and system-based features. Our experimental results using a classifier based on conditional random fields (CRF) will be presented as well as a "Feature Selection" strategy applied to better understand the role of each type of feature. The use of Boosting to combine multiple sub-models and take advantage of their complementarity will be also presented. Read more