/// <summary>
/// Returns a representation of the nt productions that is efficient for CYK
/// </summary>
// TODO: can maybe improve this by using an array of arrays; keep a separate array for each LHS
private IEnumerable <LocalCykProduction> BuildLocalCYKProductionList(Dictionary <Nonterminal, int> RToJ)
{
var retval = new LocalCykProduction[_grammar.NonterminalProductions.Count];
for (var i = 0; i < _grammar.NonterminalProductions.Count; i++)
{
var production = _grammar.NonterminalProductions[i];
var R_A = production.Lhs;
var R_B = (Nonterminal)production.Rhs[0];
var R_C = (Nonterminal)production.Rhs[1];
var A = RToJ[R_A];
var B = RToJ[R_B];
var C = RToJ[R_C];
var probThis = _grammar.GetProbability(production);
retval[i] = new LocalCykProduction(A, B, C, probThis);
}
return(retval);
}
/// <summary>
/// Returns a representation of the nt productions that is efficient for CYK
/// </summary>
// TODO: can maybe improve this by using an array of arrays; keep a separate array for each LHS
private IEnumerable<LocalCykProduction> BuildLocalCYKProductionList(Dictionary<Nonterminal, int> RToJ) {
var retval = new LocalCykProduction[_grammar.NonterminalProductions.Count];
for (var i = 0; i < _grammar.NonterminalProductions.Count; i++) {
var production = _grammar.NonterminalProductions[i];
var R_A = production.Lhs;
var R_B = (Nonterminal)production.Rhs[0];
var R_C = (Nonterminal)production.Rhs[1];
var A = RToJ[R_A];
var B = RToJ[R_B];
var C = RToJ[R_C];
var probThis = _grammar.GetProbability(production);
retval[i] = new LocalCykProduction(A, B, C, probThis);
}
return retval;
}