如何在我的 Java 程序中集成 stanford 解析器软件？

How can I integrate stanford parser software in my java program?

提问by Vishnu Kumar

I have to develop a project in java that uses a Stanford parser to separate the sentences and has to generate a graph that shows the relation between the words in a sentence. for example: Ohio is located in America. Output:

我必须在 java 中开发一个项目，该项目使用斯坦福解析器来分隔句子，并且必须生成一个图表来显示句子中单词之间的关系。例如：俄亥俄州位于美国。输出：

the image shows the graph. But the output need not be the same but it has to show relation between the words in graph form. The graph can be generated using Jgraph, Jung. But initially I have to integrate the parser software into my program. So how can I integrate a parser??

图像显示了图表。但输出不必相同，但必须以图形形式显示单词之间的关系。该图可以使用 Jgraph, Jung 生成。但最初我必须将解析器软件集成到我的程序中。那么如何集成解析器呢？

采纳答案by user278064

• Download the Stanford Parser zip:
• Add jarsto the build pathof your project (include the model files)

• Use the following snippet to parse sentences and return the constituency trees:(dependency trees can be built by inspecting the structure of the tree)

  import java.io.StringReader;
  import java.util.List;
  
  import edu.stanford.nlp.ling.CoreLabel;
  import edu.stanford.nlp.process.TokenizerFactory;
  import edu.stanford.nlp.parser.lexparser.LexicalizedParser;
  import edu.stanford.nlp.process.CoreLabelTokenFactory;
  import edu.stanford.nlp.process.PTBTokenizer;
  import edu.stanford.nlp.process.Tokenizer;
  import edu.stanford.nlp.trees.Tree;
  
  class Parser {
  
      private final static String PCG_MODEL = "edu/stanford/nlp/models/lexparser/englishPCFG.ser.gz";        
  
      private final TokenizerFactory<CoreLabel> tokenizerFactory = PTBTokenizer.factory(new CoreLabelTokenFactory(), "invertible=true");
  
      private final LexicalizedParser parser = LexicalizedParser.loadModel(PCG_MODEL);
  
      public Tree parse(String str) {                
          List<CoreLabel> tokens = tokenize(str);
          Tree tree = parser.apply(tokens);
          return tree;
      }
  
      private List<CoreLabel> tokenize(String str) {
          Tokenizer<CoreLabel> tokenizer =
              tokenizerFactory.getTokenizer(
                  new StringReader(str));    
          return tokenizer.tokenize();
      }
  
      public static void main(String[] args) { 
          String str = "My dog also likes eating sausage.";
          Parser parser = new Parser(); 
          Tree tree = parser.parse(str);  
  
          List<Tree> leaves = tree.getLeaves();
          // Print words and Pos Tags
          for (Tree leaf : leaves) { 
              Tree parent = leaf.parent(tree);
              System.out.print(leaf.label().value() + "-" + parent.label().value() + " ");
          }
          System.out.println();               
      }
  }
  

• 下载斯坦福解析器 zip：
• 将jars添加到项目的构建路径中（包括模型文件）

• 使用以下片段解析句子并返回选区树：（可以通过检查树的结构来构建依赖树）

  import java.io.StringReader;
  import java.util.List;
  
  import edu.stanford.nlp.ling.CoreLabel;
  import edu.stanford.nlp.process.TokenizerFactory;
  import edu.stanford.nlp.parser.lexparser.LexicalizedParser;
  import edu.stanford.nlp.process.CoreLabelTokenFactory;
  import edu.stanford.nlp.process.PTBTokenizer;
  import edu.stanford.nlp.process.Tokenizer;
  import edu.stanford.nlp.trees.Tree;
  
  class Parser {
  
      private final static String PCG_MODEL = "edu/stanford/nlp/models/lexparser/englishPCFG.ser.gz";        
  
      private final TokenizerFactory<CoreLabel> tokenizerFactory = PTBTokenizer.factory(new CoreLabelTokenFactory(), "invertible=true");
  
      private final LexicalizedParser parser = LexicalizedParser.loadModel(PCG_MODEL);
  
      public Tree parse(String str) {                
          List<CoreLabel> tokens = tokenize(str);
          Tree tree = parser.apply(tokens);
          return tree;
      }
  
      private List<CoreLabel> tokenize(String str) {
          Tokenizer<CoreLabel> tokenizer =
              tokenizerFactory.getTokenizer(
                  new StringReader(str));    
          return tokenizer.tokenize();
      }
  
      public static void main(String[] args) { 
          String str = "My dog also likes eating sausage.";
          Parser parser = new Parser(); 
          Tree tree = parser.parse(str);  
  
          List<Tree> leaves = tree.getLeaves();
          // Print words and Pos Tags
          for (Tree leaf : leaves) { 
              Tree parent = leaf.parent(tree);
              System.out.print(leaf.label().value() + "-" + parent.label().value() + " ");
          }
          System.out.println();               
      }
  }