I'm not sure. I rarely have to do that explicitly in my head. Well I can't prove it but I strongly believe that our brains use part of speech too, unconsciously

I'm not sure. I rarely have to do that explicitly in my head. Well I can't prove it but I strongly believe that our brains use part of speech too, unconsciously. Perhaps a model should learn to infer/guess them implicitly, from data. That's exactly what deep learning POS tagger do, they are far better than hard coded algorithms. SOTA has 97.96% of accuracy. In my opinion, having a world model (for common sense) and situational awareness (e.g. through sensor fusion, or from prior conversational history, or using some externally supplied conditioning) would be far more important. Haha you basically want a general intelligence (AGI), I want it too! And not enough persons works on "architecting" such a thing. Opencog may interest you a lot then. But the reality is many other "simpler" tasks are needed to make this happen. having a world model (for common sense) is an NLP task There are some interesting results https://github.com/sebastianruder/NLP-progress/blob/master/english/common_sense.md https://github.com/sebastianruder/NLP-progress/blob/master/e... OpenAI does not work on this task sadly, at least for now. You think adding POS tags would help it generate meaningful sentences? I would be clearly insufficient yet necessary. I believe they already use internally a POS tagger and a dependency parser.