public static void main(String[] args) { TransducerGraph.GraphProcessor qd = new QuasiDeterminizer(); List pathList = new ArrayList(); TransducerGraph graph = TransducerGraph.createRandomGraph(1000, 10, 1.0, 10, pathList); StringBuilder b = new StringBuilder(); graph.depthFirstSearch(true, b); System.out.println(b.toString()); System.out.println("Done creating random graph"); // TransducerGraph.printPathOutputs(pathList, graph, false); //System.out.println("Depth first search from start node"); //TransducerGraph.depthFirstSearch(graph, TransducerGraph.END_NODE, new HashSet(), 0, false); TransducerGraph newGraph = qd.processGraph(graph); System.out.println("Done quasi-determinizing"); //TransducerGraph.printPathOutputs(pathList, newGraph, false); //System.out.println("Depth first search from start node"); //TransducerGraph.depthFirstSearch(newGraph, TransducerGraph.END_NODE, new HashSet(), 0, false); TransducerGraph.testGraphPaths(graph, newGraph, 1000); }
public TransducerGraph processGraph(TransducerGraph graph) { // compute lambda function ClassicCounter lambda = computeLambda(graph); // not destructive // do the pushing TransducerGraph result = pushLambdas(graph, lambda); // creates a new one return result; }
public TransducerGraph processGraph(TransducerGraph graph) { // compute lambda function ClassicCounter lambda = computeLambda(graph); // not destructive // do the pushing TransducerGraph result = pushLambdas(graph, lambda); // creates a new one return result; }
List outputs = randomFA.getPathOutputs(pathList); TransducerGraph.GraphProcessor quasiDeterminizer = new QuasiDeterminizer(); AutomatonMinimizer minimizer = new FastExactAutomatonMinimizer(); TransducerGraph.NodeProcessor ntsp = new TransducerGraph.SetToStringNodeProcessor(new PennTreebankLanguagePack());
public TransducerGraph processGraph(TransducerGraph graph) { // compute lambda function ClassicCounter lambda = computeLambda(graph); // not destructive // do the pushing TransducerGraph result = pushLambdas(graph, lambda); // creates a new one return result; }
TransducerGraph.ArcProcessor ocp = new TransducerGraph.OutputCombiningProcessor(); TransducerGraph.GraphProcessor normalizer = new TransducerGraph.NormalizingGraphProcessor(false); TransducerGraph.GraphProcessor quasiDeterminizer = new QuasiDeterminizer(); AutomatonMinimizer exactMinimizer = new FastExactAutomatonMinimizer(); for (String key : allTrainPaths.keySet()) {
public TransducerGraph processGraph(TransducerGraph graph) { // compute lambda function ClassicCounter lambda = computeLambda(graph); // not destructive // do the pushing TransducerGraph result = pushLambdas(graph, lambda); // creates a new one return result; }
public static void main(String[] args) { TransducerGraph.GraphProcessor qd = new QuasiDeterminizer(); List pathList = new ArrayList(); TransducerGraph graph = TransducerGraph.createRandomGraph(1000, 10, 1.0, 10, pathList); StringBuilder b = new StringBuilder(); graph.depthFirstSearch(true, b); System.out.println(b.toString()); System.out.println("Done creating random graph"); // TransducerGraph.printPathOutputs(pathList, graph, false); //System.out.println("Depth first search from start node"); //TransducerGraph.depthFirstSearch(graph, TransducerGraph.END_NODE, new HashSet(), 0, false); TransducerGraph newGraph = qd.processGraph(graph); System.out.println("Done quasi-determinizing"); //TransducerGraph.printPathOutputs(pathList, newGraph, false); //System.out.println("Depth first search from start node"); //TransducerGraph.depthFirstSearch(newGraph, TransducerGraph.END_NODE, new HashSet(), 0, false); TransducerGraph.testGraphPaths(graph, newGraph, 1000); }
public TransducerGraph processGraph(TransducerGraph graph) { // compute lambda function ClassicCounter lambda = computeLambda(graph); // not destructive // do the pushing TransducerGraph result = pushLambdas(graph, lambda); // creates a new one return result; }
public static void main(String[] args) { TransducerGraph.GraphProcessor qd = new QuasiDeterminizer(); List pathList = new ArrayList(); TransducerGraph graph = TransducerGraph.createRandomGraph(1000, 10, 1.0, 10, pathList); StringBuilder b = new StringBuilder(); graph.depthFirstSearch(true, b); System.out.println(b.toString()); System.out.println("Done creating random graph"); // TransducerGraph.printPathOutputs(pathList, graph, false); //System.out.println("Depth first search from start node"); //TransducerGraph.depthFirstSearch(graph, TransducerGraph.END_NODE, new HashSet(), 0, false); TransducerGraph newGraph = qd.processGraph(graph); System.out.println("Done quasi-determinizing"); //TransducerGraph.printPathOutputs(pathList, newGraph, false); //System.out.println("Depth first search from start node"); //TransducerGraph.depthFirstSearch(newGraph, TransducerGraph.END_NODE, new HashSet(), 0, false); TransducerGraph.testGraphPaths(graph, newGraph, 1000); }
public static void main(String[] args) { TransducerGraph.GraphProcessor qd = new QuasiDeterminizer(); List pathList = new ArrayList(); TransducerGraph graph = TransducerGraph.createRandomGraph(1000, 10, 1.0, 10, pathList); StringBuffer b = new StringBuffer(); graph.depthFirstSearch(true, b); System.out.println(b.toString()); System.out.println("Done creating random graph"); // TransducerGraph.printPathOutputs(pathList, graph, false); //System.out.println("Depth first search from start node"); //TransducerGraph.depthFirstSearch(graph, TransducerGraph.END_NODE, new HashSet(), 0, false); TransducerGraph newGraph = qd.processGraph(graph); System.out.println("Done quasi-determinizing"); //TransducerGraph.printPathOutputs(pathList, newGraph, false); //System.out.println("Depth first search from start node"); //TransducerGraph.depthFirstSearch(newGraph, TransducerGraph.END_NODE, new HashSet(), 0, false); TransducerGraph.testGraphPaths(graph, newGraph, 1000); }
public static void main(String[] args) { TransducerGraph.GraphProcessor qd = new QuasiDeterminizer(); List pathList = new ArrayList(); TransducerGraph graph = TransducerGraph.createRandomGraph(1000, 10, 1.0, 10, pathList); StringBuilder b = new StringBuilder(); graph.depthFirstSearch(true, b); System.out.println(b.toString()); System.out.println("Done creating random graph"); // TransducerGraph.printPathOutputs(pathList, graph, false); //System.out.println("Depth first search from start node"); //TransducerGraph.depthFirstSearch(graph, TransducerGraph.END_NODE, new HashSet(), 0, false); TransducerGraph newGraph = qd.processGraph(graph); System.out.println("Done quasi-determinizing"); //TransducerGraph.printPathOutputs(pathList, newGraph, false); //System.out.println("Depth first search from start node"); //TransducerGraph.depthFirstSearch(newGraph, TransducerGraph.END_NODE, new HashSet(), 0, false); TransducerGraph.testGraphPaths(graph, newGraph, 1000); }
List outputs = randomFA.getPathOutputs(pathList); TransducerGraph.GraphProcessor quasiDeterminizer = new QuasiDeterminizer(); AutomatonMinimizer minimizer = new FastExactAutomatonMinimizer(); TransducerGraph.NodeProcessor ntsp = new TransducerGraph.SetToStringNodeProcessor(new PennTreebankLanguagePack());
List outputs = randomFA.getPathOutputs(pathList); TransducerGraph.GraphProcessor quasiDeterminizer = new QuasiDeterminizer(); AutomatonMinimizer minimizer = new FastExactAutomatonMinimizer(); TransducerGraph.NodeProcessor ntsp = new TransducerGraph.SetToStringNodeProcessor(new PennTreebankLanguagePack());
List outputs = randomFA.getPathOutputs(pathList); TransducerGraph.GraphProcessor quasiDeterminizer = new QuasiDeterminizer(); AutomatonMinimizer minimizer = new FastExactAutomatonMinimizer(); TransducerGraph.NodeProcessor ntsp = new TransducerGraph.SetToStringNodeProcessor(new PennTreebankLanguagePack());
List outputs = randomFA.getPathOutputs(pathList); TransducerGraph.GraphProcessor quasiDeterminizer = new QuasiDeterminizer(); AutomatonMinimizer minimizer = new FastExactAutomatonMinimizer(); TransducerGraph.NodeProcessor ntsp = new TransducerGraph.SetToStringNodeProcessor(new PennTreebankLanguagePack());