A research lab developed a machine translation system a decade ago. It paired a moderately effective neural network with a highly complex and computationally expensive search algorithm to achieve acceptable translation quality. The lab now has the resources for a major upgrade and is considering two options:

• Option A: Dedicate all resources to designing an even more sophisticated and intricate search algorithm, keeping the original neural network.
• Option B: Dedicate all resources to training a new, exceptionally powerful and large neural network, but replace the complex search algorithm with a much simpler, computationally cheaper one.

Which option represents a more modern and effective strategy for significantly improving the system's performance? Justify your choice by explaining the relationship between the capabilities of the neural network and the requirements of the search component.