Target-Side Context for Discriminative Models in Statistical Machine Translation

Understand

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 show that this model can be efficiently integrated directly in the decoding process.
• Our approach scales to large training data sizes and results in consistent improvements in translation quality on four language pairs.