CRFppTxtModelTest.java

package org.ansj.app.crf.model;

import java.io.BufferedReader;
import java.io.File;
import java.io.FileInputStream;
import java.io.FileNotFoundException;
import java.io.IOException;
import java.io.InputStreamReader;
import java.util.List;

import org.ansj.app.crf.Check;
import org.ansj.app.crf.Model;
import org.ansj.app.crf.SplitWord;
import org.junit.Before;
import org.junit.Test;
import org.nlpcn.commons.lang.util.StringUtil;

public class CRFppTxtModelTest {

	private String modelPath = "src/test/resources/crf_txt.model";

	private String testPath = "src/test/resources/corpus.txt";

	private Model model = new CRFppTxtModel();

	@Before
	public void before() throws Exception {
		if (!Check.checkFileExit(modelPath)) {
			return;
		}
		model.loadModel(modelPath);
	}

	@Test
	public void savePathTest() throws FileNotFoundException, IOException {
		if (!Check.checkFileExit(modelPath)) {
			return;
		}
		model.writeModel("crf.model");
		new File("crf.model").delete() ;
	}

	@Test
	public void cute() throws Exception {
		if (!Check.checkFileExit(modelPath)){
			return ;
		}
		SplitWord sw = new SplitWord(model);

		System.out.println(sw.cut("瓦西里斯的船只中有４０％驶向远东，每个月几乎都有两三条船停靠中国港口。"));

		model.writeModel("crf.model");

		new File("crf.model").delete() ;
	}

	@Test
	public void test() throws Exception {
		if (!Check.checkFileExit(modelPath)){
			return ;
		}
		BufferedReader br = new BufferedReader(new InputStreamReader(new FileInputStream(testPath)));

		SplitWord sw = new SplitWord(model);

		String temp_str = null;

		int line_number = 0;// 记录行数
		int ansj_term_number = 0;// 记录ansj中分出的term数量
		int result_num = 0;

		double P = 0.0;
		double R = 0.0;
		double F = 0.0;

		int allError = 0;
		int allSuccess = 0;

		String[] had_words_array = null;// 按split分开后的数组
		String body = null;
		while ((temp_str = br.readLine()) != null) {

			if (StringUtil.isBlank(temp_str)) {
				continue;
			}

			int error = 0;
			int success = 0;
			temp_str = temp_str.trim();
			body = temp_str.replaceAll("\t", "");
			had_words_array = new String[body.length()];
			int offe = 0;

			List<String> paser = sw.cut(body);

			// 填充result
			String[] result = temp_str.split("\t");
			for (int i = 0; i < result.length; i++) {
					had_words_array[offe] = result[i];
					offe += result[i].length();
			}

			offe = 0;
			for (String word : paser) {
				if (had_words_array[offe] == null) {
					error++;
				} else if (had_words_array[offe].equalsIgnoreCase(word)) {
					success++;
				} else {
					success++;
				}
				offe += word.length();
			}

			// ansj分出的个数
			ansj_term_number += paser.size();
			// 词语的个数
			result_num += result.length;
			// 累计错误数
			allError += error;
			// 累计正确数
			allSuccess += success;

			if (error > 0) {
				System.out.println("example:" + temp_str);
				System.out.println(" result:" + paser.toString().replace("[", "").replace("]", "").replace(", ", "\t"));
			}
			System.out.println("[" + line_number + "]---准确率P:--" + ((double) success / paser.size()));
			line_number++;
		}
		// 正确数/总词数
		P = allSuccess / (double) ansj_term_number;
		// 正确数/标注文本中的词数
		R = allSuccess / (double) result_num;

		F = (2 * P * R) / (P + R);
		System.out.println("P:" + P);
		System.out.println("R:" + R);
		System.out.println("全文平均准确率--" + F);
		br.close();
	}

}