So my question is: what is needed to extend language models to the level of compound sentences? More training data? Different training data? A new theory of language acquisition? More hardware? How much?
What is needed is: A better training approach, involving presentation of compound sentences in conjunction with real-world (or sim-world) situations ... A better theory of language acquisition, more fully explaining the impact of semantics and pragmatics on syntax learning. I like Tomassello's language acquisition theory BTW (see his book "Constructing a Language"), but connecting his ideas with pragmatic AI algorithms and structures is a lot of work (as I know for I have done it in the context of Novamente). Also Calvin and Bickerton, in Lingua ex Machina, have some interesting things to say, though they don't dig as deep as Tomassello -- Ben G ----- This list is sponsored by AGIRI: http://www.agiri.org/email To unsubscribe or change your options, please go to: http://v2.listbox.com/member/[EMAIL PROTECTED]
