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>The meaning of a sentence is formed both by the grammar, which is nearly combinatorial, and by the meanings and connotations of the words used, which are hardl
by osipov 18y ago
>The meaning of a sentence is formed both by the grammar, which is nearly combinatorial, and by the meanings and connotations of the words used, which are hardly combinatorial at all. I doubt that this sort of thing will just fall out from bayesian networks, or from any simple development based on bayesian networks.
The most effective existing approaches to natural language understanding are purely statistics based. This works fairly well (about 85% error rate) in narrow domains. Most approaches aren't even bayesian network based, but use Markov chains/models which can be called a precursor to bayesian networks.
- andreyf 18y agoThe most effective existing approaches to natural language understanding are purely statistics based. This is where practicality and idealism ought to diverge. Sure, with enough data, we might be able to find spelling mistakes or figure out what pictures someone is looking for. But the techniques we are looking for don't address understanding, (granted they never set out to). Most interesting would be to define meaning and understanding, using strict mathematical models. As McCarty said, language is just the froth on those waves.