A finite-state framework for log-linear models in machine translation
Jorge González, Francisco Casacuberta · 2008
Abstract. Log-linear models represent nowadays the state-of-the-art in statistical machine translation. There, several models are combined altogether into a whole statistical approach. Finite-state transducers constitute a special type of statistical translation model whose interest has been proved in different translation tasks. The goal of this work is to introduce a finite-state framework for a log-linear modelling approach in statistical machine translation. Results for a French-English technical translation task show the convenience of the proposed methods. 1