使用 CLI 和 Java API 使用 openNLP 進行句子檢測

使用 CLI：

$ opennlp SentenceDetector ./en-sent.bin < ./input.txt > output.txt

使用 API​​：

import static java.nio.file.Files.readAllBytes;
import static java.nio.file.Paths.get;

import java.io.IOException;
import java.util.Objects;

public class FileUtils {
/**
 * Get file data as string
 * 
 * @param fileName
 * @return
 */
    public static String getFileDataAsString(String fileName) {
        Objects.nonNull(fileName);
        try {
            String data = new String(readAllBytes(get(fileName)));
            return data;
        } catch (IOException e) {
            System.out.println(e.getMessage());
            return null;
        }
    }
}

class sentecedetectorutil：

import java.io.FileInputStream;
import java.io.FileNotFoundException;
import java.io.IOException;
import java.io.InputStream;
import java.util.Objects;

import opennlp.tools.sentdetect.SentenceDetectorME;
import opennlp.tools.sentdetect.SentenceModel;

public class SentenceDetectorUtil {
    private SentenceModel model = null;
    SentenceDetectorME sentenceDetector = null;

    public SentenceDetectorUtil(String modelFile) {
        Objects.nonNull(modelFile);
        initSentenceModel(modelFile);
        initSentenceDetectorME();
    }

    private void initSentenceDetectorME() {
        sentenceDetector = new SentenceDetectorME(model);
    }

    private SentenceModel initSentenceModel(String file) {
        InputStream modelIn;
        try {
            modelIn = new FileInputStream(file);
        } catch (FileNotFoundException e) {
            System.out.println(e.getMessage());
            return null;
        }

        try {
            model = new SentenceModel(modelIn);
        } catch (IOException e) {
            e.printStackTrace();
        } finally {
            if (modelIn != null) {
                try {
                    modelIn.close();
                } catch (IOException e) {
                }
            }
        }
        return model;
    }

    public String[] getSentencesFromFile(String inputFile) {
        String data = FileUtils.getFileDataAsString(inputFile);
        return sentenceDetector.sentDetect(data);
    }

    public String[] getSentences(String data) {
        return sentenceDetector.sentDetect(data);
    }

}
}

主要類：

public class Main {
 public static void main(String args[]) {
  SentenceDetectorUtil util = new SentenceDetectorUtil(
    "path//to//your//en-sent.bin");

  String data = "Welcome to Stackoverflow Documentation.This is the first example in OenNLP.";

  String[] sentences = util.getSentences(data);

  for (String s : sentences)
   System.out.println(s +"\n");
 }
}

輸出將是：

歡迎使用 Stackoverflow 文件。

這是 OpenNLP 中的第一個示例。