There is a lot more involved than just language. It seems possible to solve language and still not create "strong AI." See: Watson kicking ass at Jeopardy. That is pretty sophisticated language comprehension; it even got clues that involved puns and wordplay.
From that it would seem totally possible to adapt this sort of intelligence to taking an IQ test. Just provide the right corpus to search and give the algorithms time to learn and be tuned. What if Watson tests out at a 150 IQ? Is he "intelligent"? After all it is an "intelligence quotient."
I think most people would say no, the issue is the Turing Test. That involves language, but I think the real point is an artificial personality: a computer that can hold a conversation and evince a discernible will and opinion. It seems to me that to do that, the machine must have emotions. I'm no expert in the field, but from my layman's position I don't see nearly as many stories about studying and replicating emotions as I do about human language.
Which is funny because any dog owner knows that dogs, despite having almost no formal language, are clearly willful, independent, emotional living beings. Can we even simulate a dog's emotional state with a computer? How about a bug's emotional state? I haven't heard much about that. But there is a ton of heat around language.
The rapid success at first may be leading to a dead end.
Having said that, there's a lot of value in these technologies as assistance to human intelligence, but I'm skeptical they're ever going to lead to full-on autonomous intelligence.
I think that you are also getting at the _sentience_. I think this is what most people refer to when speaking about true AI. You know, having consciousness, desires, social skills, etc.
My point was, that, for example, language recognition doesn't need human intelligence, a statistical model is enough.
Or driving around a confined space only requires a particle filter, not human intelligence.