Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Discriminative translation models utilizing source context have been shown to help statistical machine translation performance.  propose a novel extension of this work using target context information. Surprisingly,  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.  also provide an analysis comparing the strengths of the baseline source-context model with our extended source-context and target-context model and  show that our extension allows us to better capture morphological coherence. Our work is freely available as part of Moses.
['Aleš Tamchyna', 'Alexander M. Fraser', 'Ondrej Bojar', 'Marcin Junczys-Dowmunt']
I am writing a research paper on a idea Target-Side Context for Discriminative Models in Statistical Machine Translation
[{"from": "human", "value": "I am writing a research paper on a idea Target-Side Context for Discriminative Models in Statistical Machine Translation"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Discriminative translation models utilizing source context have been shown to help statistical machine translation performance.  propose a novel extension of this work using target context information. Surprisingly,  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.  also provide an analysis comparing the strengths of the baseline source-context model with our extended source-context and target-context model and  show that our extension allows us to better capture morphological coherence. Our work is freely available as part of Moses."}]