Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: This work is concerned with incrementally training statistical machine translation (SMT) models when new data becomes available. That, in contrast to re-training new models based on the entire accumulated data. In- cremental training provides a way to per- form faster, more frequent model updates, en- abling keeping the SMT system up-to-date with the most recent data. Specifically,  address incrementally updating the reorder- ing model (RM), a component in phrase-based machine translation that models phrase order changes beten the source and the target languages, and for which incremental train- ing has not been proposed so far. First,  show that updating the reordering model is helpful for improving translation quality. Sec- ond,  present an algorithm for updating the reordering model within the popular Moses SMT system. Our method produces the exact same model as when training the model from scratch, but doing so much faster.
['Shachar Mirkin']
I am writing a research paper on a idea Incrementally Updating the SMT Reordering Model
[{"from": "human", "value": "I am writing a research paper on a idea Incrementally Updating the SMT Reordering Model"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: This work is concerned with incrementally training statistical machine translation (SMT) models when new data becomes available. That, in contrast to re-training new models based on the entire accumulated data. In- cremental training provides a way to per- form faster, more frequent model updates, en- abling keeping the SMT system up-to-date with the most recent data. Specifically,  address incrementally updating the reorder- ing model (RM), a component in phrase-based machine translation that models phrase order changes beten the source and the target languages, and for which incremental train- ing has not been proposed so far. First,  show that updating the reordering model is helpful for improving translation quality. Sec- ond,  present an algorithm for updating the reordering model within the popular Moses SMT system. Our method produces the exact same model as when training the model from scratch, but doing so much faster."}]