Some Thoughts about Lojban

Oh i see what you mean now.

For controlling devices using spoken languages… i think lojban would offer not much more benefit than natural languages.

The task of having computers understanding natural languages at parsing level is basically solved. For example, today there are lots of online translation softwares from and to many natural languages and they do manage. To go beyond translation to real understanding as to generate a proper response, involves AI that is still pure science fiction.

in sort, today we already have the machinery to parse natural languages for the most part and lojban's regularity and formal spec wouldn't make much difference.

Further, as appliances taking spoken commands from people in the near future, it would probably be a subset of spoken phrases. So, it makes no difference of using lojban or English. (and of course we are discoursing imagined scenarios, because in reality no manufacture would ever implement lojban)

I don't think lojban will befit as a language for human communication. Suppose if we have a region to speak lojban from now on, and lojban being the first language of all newborns. I believe in a few generations lojban will quickly loss all its design premises of regularity and mathematical properties. This i believe because humans do not process information as a logical machine, even if all their thoughts are in a logical language.

The need to create new words and other daily communication will very quickly blow away any math properties of lojban.

as to the worf(sp?) hypothesis that language effects thought, it is obviously true. I think it is moronic to believe otherwise.

I think the way for lojban to prosper is for it to remain in the hands of logic community, as it is today. Lojban is a great tool in studying the relation of meaning, logic, and natural languages. It is a aid in the field of philosophy of languages or analytic philosophy. I imagine the utmost achievement for lojban is for example having mathematical treaties in lojban, and for it to be heavily used in AI research, machine to machine or human to machine.