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Nowadays, most of the statistical translation systems are based on phrases (i.e. groups of words). We describe a phrase-based system using a modified method for the phrase extraction which deals …...

We describe an architecture that allows to combine statistical machine translation (SMT) with rule-based machine translation (RBMT) in a multi-engine setup. We use a variant of standard SMT technology to …...

We present an unsupervised model for joint phrase alignment and extraction using non- parametric Bayesian methods and inversion transduction grammars (ITGs). The key con- tribution is that phrases of many …...

AbstractIn order to extract meaningful phrases from corpora (e. g. in an information retrieval context) intensive knowledge of the domain in question and the respective documents is generally needed. When …...

A fully discriminative training framework for Statistical Machine Translation A major pitfall of existing statistical machine translation systems is their lack of a proper training procedure. In fact, the phrase …...

Domain adaptation for statistical machine translation is the task of altering general models to improve performance on the test domain. In this work, we suggest several novel weighting schemes based …...