About fifty years ago, linguistics played a central role in cognitive science and its insights were highly influential for developments in models and applications of natural language processing. Today, language is still seen as a major issue, but all recent breakthroughs in language studies – particularly in the fields of computational linguistics and artificial intelligence – have been achieved without influence from developments in linguistics. That is unfortunate, because the most powerful language technologies today are still incapable of understanding natural language, and they would greatly benefit from more linguistic sophistication. In this presentation, I will present how “constructional approaches” to language can put linguistics back on the map of cognitive science and how it can help linguistics to make claim to the position of the science of natural language processing. More specifically, I will present our work on Fluid Construction Grammar, the world’s most advanced computational platform for constructional language processing, which intends to achieve both deep semantic parsing and adequate production using the same linguistic inventories.