public virtual TransducerGraph ProcessGraph(TransducerGraph g)
            {
                g = new TransducerGraph(g);
                ISet nodes = g.GetNodes();

                foreach (object node in nodes)
                {
                    ICollection <TransducerGraph.Arc> myArcs = null;
                    if (forward)
                    {
                        myArcs = g.GetArcsBySource(node);
                    }
                    else
                    {
                        myArcs = g.GetArcsByTarget(node);
                    }
                    // compute a total
                    double total = 0.0;
                    foreach (TransducerGraph.Arc a in myArcs)
                    {
                        total += ((double)a.GetOutput());
                    }
                    // divide each by total
                    foreach (TransducerGraph.Arc a_1 in myArcs)
                    {
                        a_1.SetOutput(Math.Log(((double)a_1.GetOutput()) / total));
                    }
                }
                return(g);
            }
Ejemplo n.º 2
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        public static void Main(string[] args)
        {
            /*
             * TransducerGraph fa = new TransducerGraph();
             * fa.addArc(fa.getStartNode(),"1","a","");
             * fa.addArc(fa.getStartNode(),"2","b","");
             * fa.addArc(fa.getStartNode(),"3","c","");
             * fa.addArc("1","4","a","");
             * fa.addArc("2","4","a","");
             * fa.addArc("3","5","c","");
             * fa.addArc("4",fa.getEndNode(),"c","");
             * fa.addArc("5",fa.getEndNode(),"c","");
             * System.out.println(fa);
             * ExactAutomatonMinimizer minimizer = new ExactAutomatonMinimizer();
             * System.out.println(minimizer.minimizeFA(fa));
             */
            System.Console.Out.WriteLine("Starting minimizer test...");
            IList           pathList = new ArrayList();
            TransducerGraph randomFA = TransducerGraph.CreateRandomGraph(5000, 5, 1.0, 5, pathList);
            IList           outputs  = randomFA.GetPathOutputs(pathList);

            TransducerGraph.IGraphProcessor quasiDeterminizer = new QuasiDeterminizer();
            IAutomatonMinimizer             minimizer         = new FastExactAutomatonMinimizer();

            TransducerGraph.INodeProcessor ntsp = new TransducerGraph.SetToStringNodeProcessor(new PennTreebankLanguagePack());
            TransducerGraph.IArcProcessor  isp  = new TransducerGraph.InputSplittingProcessor();
            TransducerGraph.IArcProcessor  ocp  = new TransducerGraph.OutputCombiningProcessor();
            TransducerGraph detGraph            = quasiDeterminizer.ProcessGraph(randomFA);
            TransducerGraph combGraph           = new TransducerGraph(detGraph, ocp);
            // combine outputs into inputs
            TransducerGraph result = minimizer.MinimizeFA(combGraph);

            // minimize the thing
            System.Console.Out.WriteLine("Minimized from " + randomFA.GetNodes().Count + " to " + result.GetNodes().Count);
            result = new TransducerGraph(result, ntsp);
            // pull out strings from sets returned by minimizer
            result = new TransducerGraph(result, isp);
            // split outputs from inputs
            IList minOutputs = result.GetPathOutputs(pathList);

            System.Console.Out.WriteLine("Equal? " + outputs.Equals(minOutputs));
        }
Ejemplo n.º 3
0
        /// <summary>Takes time linear in number of arcs.</summary>
        public static ClassicCounter ComputeLambda(TransducerGraph graph)
        {
            ArrayList      queue  = new ArrayList();
            ClassicCounter lambda = new ClassicCounter();
            ClassicCounter length = new ClassicCounter();
            IDictionary    first  = new Hashtable();
            ISet           nodes  = graph.GetNodes();

            foreach (object node in nodes)
            {
                lambda.SetCount(node, 0);
                length.SetCount(node, double.PositiveInfinity);
            }
            ISet endNodes = graph.GetEndNodes();

            foreach (object o in endNodes)
            {
                lambda.SetCount(o, 0);
                length.SetCount(o, 0);
                queue.AddLast(o);
            }
            // Breadth first search
            // get the first node from the queue
            object node_1 = null;

            try
            {
                node_1 = queue.RemoveFirst();
            }
            catch (NoSuchElementException)
            {
            }
            while (node_1 != null)
            {
                double oldLen = length.GetCount(node_1);
                ISet   arcs   = graph.GetArcsByTarget(node_1);
                if (arcs != null)
                {
                    foreach (object arc1 in arcs)
                    {
                        TransducerGraph.Arc arc = (TransducerGraph.Arc)arc1;
                        object      newNode     = arc.GetSourceNode();
                        IComparable a           = (IComparable)arc.GetInput();
                        double      k           = ((double)arc.GetOutput());
                        double      newLen      = length.GetCount(newNode);
                        if (newLen == double.PositiveInfinity)
                        {
                            // we are discovering this
                            queue.AddLast(newNode);
                        }
                        IComparable f = (IComparable)first[newNode];
                        if (newLen == double.PositiveInfinity || (newLen == oldLen + 1 && a.CompareTo(f) < 0))
                        {
                            // f can't be null, since we have a newLen
                            // we do this to this to newNode when we have new info, possibly many times
                            first[newNode] = a;
                            // ejecting old one if necessary
                            length.SetCount(newNode, oldLen + 1);
                            // this may already be the case
                            lambda.SetCount(newNode, k + lambda.GetCount(node_1));
                        }
                    }
                }
                // get a new node from the queue
                node_1 = null;
                try
                {
                    node_1 = queue.RemoveFirst();
                }
                catch (NoSuchElementException)
                {
                }
            }
            return(lambda);
        }