Imagine you are an NLP researcher in an era where computational models for language have very limited predictive accuracy. You have a fixed amount of research funding. Argue for or against the proposition that the majority of this funding should be allocated to developing more sophisticated search algorithms rather than attempting to fundamentally improve the underlying language models. Justify your position by explaining the role of search in compensating for model deficiencies when trying to find the best possible output sequence.