In this work, the creation of a large-scale Arabic to French statistical machine translation system is presented. We introduce all necessary steps from corpus aquisition, preprocessing the data to training and optimizing the system and eventual evaluation. Since no corpora existed previously, we collected large amounts of data from the web. Arabic word segmentation was crucial to reduce the ove...

The SDTS has been applied in the field of compiler and in transfer-based machine translation. After the parsing step, the syntactic structure of a sentence is identified. The parse tree will be analyzed, augmented, and transformed by later phases in the SMT system. Those phases are controlled by syntax. We use the stochastic SDTS to model such kind of translation process for phrase-based SMT. T...

In this article, we present a novel machine translation model, the Operation Sequence Model (OSM), that combines the benefits of phrase-based and N-gram-based SMT and remedies their drawbacks. The model represents the translation process as a linear sequence of operations. The sequence includes not only translation operations but also reordering operations. As in Ngram-based SMT, the model is: ...

OBJECTIVE To provide an overview of the science and practice of knowledge translation. STUDY DESIGN Narrative review outlining what knowledge translation is and a framework for its use. RESULTS Knowledge translation is defined as the use of knowledge in practice and decision making by the public, patients, health care professionals, managers, and policy makers. Failures to use research evid...

Despite calls over several decades for theory development, there remains no overarching knowledge-translation theory. However, a range of models and theoretical perspectives focused on narrower and related areas have been available for some time. We provide an overview of selected perspectives that we believe are particularly useful for developing testable and useful knowledge-translation inter...