gistfile1.cs

using java.io;

using edu.stanford.nlp.process;
using edu.stanford.nlp.ling;
using edu.stanford.nlp.trees;
using edu.stanford.nlp.parser.lexparser;

namespace Stanford_Parser
{
    class Program
    {
        static void demoAPI(LexicalizedParser lp)
        {
            // This option shows parsing a list of correctly tokenized words
            var sent = new[] { "This", "is", "an", "easy", "sentence", "." };
            var rawWords = Sentence.toCoreLabelList(sent);
            var parse = lp.apply(rawWords);
            parse.pennPrint();

            // This option shows loading and using an explicit tokenizer
            var sent2 = "This is another sentence.";
            var tokenizerFactory = PTBTokenizer.factory(new CoreLabelTokenFactory(), "");
            var sent2Reader = new StringReader(sent2);
            var rawWords2 = tokenizerFactory.getTokenizer(sent2Reader).tokenize();
            parse = lp.apply(rawWords2);

            var tlp = new PennTreebankLanguagePack();
            var gsf = tlp.grammaticalStructureFactory();
            var gs = gsf.newGrammaticalStructure(parse);
            var tdl = gs.typedDependenciesCCprocessed();

            System.Console.WriteLine();
            for(var it=tdl.iterator(); it.hasNext();)
                System.Console.WriteLine("{0}", it.next());
            System.Console.WriteLine();

            var tp = new TreePrint("penn,typedDependenciesCollapsed");
            tp.printTree(parse);
        }

        static void Main(string[] args)
        {
            var lp = LexicalizedParser.loadModel(@"..\..\..\..\StanfordNLPLibraries\stanford-parser\stanford-parser-2.0.4-models\englishPCFG.ser.gz");
            demoAPI(lp);
        }
    }
}