Salut Amirouche, What you describe was/is the goal of the language-learning project. It is stalled, because there is no easy way to evaluate if it is making forward progress, and is learning a good grammar, or learning junk.
The proposed solution to this is to create "random" grammars, and thus compare what the system learned to the precise, exactly-known grammar. The only problem here is that generating a corpus of sentences drawn from a given grammar is surprisingly hard. (i.e. is not an afternoon project, or even a one-week project). I would love to work on this, but well, good old capitalistic considerations are currently blocking my efforts. --linas On Tue, Feb 11, 2020 at 9:16 AM Amirouche Boubekki < amirouche.boube...@gmail.com> wrote: > I am wondering whether there is existing material about how to > bootstrap a LG-like dictionary using a seed of natural language > elements: grammar, words, punctuation.... > > The idea is to use such a seed to teach the program more about the > full grammar using almost natural conversations. > > -- > You received this message because you are subscribed to the Google Groups > "opencog" group. > To unsubscribe from this group and stop receiving emails from it, send an > email to opencog+unsubscr...@googlegroups.com. > To view this discussion on the web visit > https://groups.google.com/d/msgid/opencog/CAL7_Mo-Lb_c_1i8uhMWCnXkeOtBPkJtqqwosBp0V2398TUhcfA%40mail.gmail.com > . > -- cassette tapes - analog TV - film cameras - you -- You received this message because you are subscribed to the Google Groups "opencog" group. To unsubscribe from this group and stop receiving emails from it, send an email to opencog+unsubscr...@googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/opencog/CAHrUA35ed%3DPb4SRJUiqJTGkVPUTxWXO75PK5deyPxC4Gz2yCKA%40mail.gmail.com.
