Discontinuous Statistical Machine Translation with Target-Side Dependency Syntax

Improving the Performance of English-Tamil Statistical Machine Translation System using Source-Side Pre-Processing

Machine Translation is one of the major oldest and the most active research area in Natural Language Processing. Currently, Statistical Machine Translation (SMT) dominates the Machine Translation research. Statistical Ma…

Improving Statistical Machine Translation with Selectional Preferences

Long-distance semantic dependencies are crucial for lexical choice in statistical machine translation. In this paper, we study semantic dependencies between verbs and their arguments by modeling selectional preferences i…

Target-Side Context for Discriminative Models in Statistical Machine Translation

Discriminative translation models utilizing source context have been shown to help statistical machine translation performance. We propose a novel extension of this work using target context information. Surprisingly, we…

Hierarchical Machine Translation With Discontinuous Phrases

Statistical Machine Translation without Source-side Parallel Corpus Using Word Lattice and Phrase Extension

Statistical machine translation (SMT) requires a parallel corpus between the source and target languages. Although a pivot-translation approach can be applied to a language pair that does not have a parallel corpus direc…