主要实现将英文文本拆分，调用有道词典查询接口查询重点名词，动词，形容词，副词的功能。对重点单词的界定比较有待商榷，这里只是将小于5个字符长度的单词去除，但实际中肯定不是这样的。
package com.utopian.thankyou.end;import org.apache.http.client.HttpClient;import java.io.IOException;import java.util.List;import org.apache.http.HttpEntity;import org.apache.http.HttpResponse;import org.apache.http.client.ClientProtocolException;import org.apache.http.client.methods.HttpGet;import org.apache.http.impl.client.HttpClients;import org.apache.http.util.EntityUtils;import org.dom4j.DocumentException;import org.dom4j.DocumentHelper;import org.dom4j.Element;/*** Created by Mrs.Utopian on /1/3.*/public class CommonUtil {/*** 空格逗号句号分号拆分字符串*/public String [] wordArray(String str){String [] arr = str.split("(\\,|\\.|\\;)*[\\s+]");for(String ss : arr){System.out.println(ss);}return arr;}/*** 查询词义*/public static String [] getMeansByYouDao(String [] words){String word = null;int i = 0;HttpClient client = HttpClients.createDefault();String [] means = new String[words.length];int meansCount = -1; //用来控制需要查询的单词的个数while (i<words.length) {if(words[i].length()<5){//设定长度小于5个字符的单词为简单词 不查简单词i++;continue;}word = words[i++];meansCount++;HttpGet get = new HttpGet("/openapi.do?keyfrom=youdao111&key=60638690&type=data&doctype=xml&version=1.1&q="+ word);try {HttpResponse response = client.execute(get);HttpEntity entity = response.getEntity();String str = EntityUtils.toString(entity, "UTF-8");Element root = DocumentHelper.parseText(str).getRootElement();Element query = root.element("query");List clist = root.elements();Element paragraph = (Element) root.element("translation").element("paragraph");//用来判断返回的是翻译，还是单词if (clist.size() > 3) {means[meansCount] = word+":";List<Element> exlists = root.element("basic").element("explains").elements();for (Element e : exlists) {means[meansCount] = means[meansCount]+e.getText();}}else {means[meansCount] = word+":"+paragraph.getText();}} catch (ClientProtocolException e) {i = words.length;e.printStackTrace();} catch (IOException e) {i = words.length;e.printStackTrace();} catch (DocumentException e1) {i = words.length;e1.printStackTrace();}}return means;}public static void main(String args[]){//System.out.print(isSubject("Chinese"));CommonUtil commonUtil = new CommonUtil();String text="Cherish all your happy moments; they make a fine cushion for old age.";//原文String words[] = commonUtil.wordArray(text);String means[] = commonUtil.getMeansByYouDao(words);String nouns[] = new String[means.length]; //名词String verbs[] = new String[means.length]; //动词String ads[] = new String[means.length]; //形容词或副词int nounsCount=0;int verbsCount=0;int adsCount=0;for(int i = 0; i < means.length&&means[i]!=null;i++){//System.out.println(means[i]);//整理出名词n. 动词vt./vi./v. 形容词/副词 adj./adv.if(means[i].contains("n.")){nouns[nounsCount++] = means[i];}if(means[i].contains("vt.")||means[i].contains("vi.")||means[i].contains("v.")){verbs[verbsCount++] = means[i];}if(means[i].contains("adj.")||means[i].contains("adv.")){ads[adsCount++] = means[i];}}System.out.println("原文" + text);System.out.println("输出所有的名词");for(int i = 0;i<nounsCount;i++){System.out.println(nouns[i]);}System.out.println("输出所有的动词");for(int i = 0;i<verbsCount;i++){System.out.println(verbs[i]);}System.out.println("输出所有的形容词、副词");for(int i = 0;i<adsCount;i++){System.out.println(ads[i]);}}}
输出的结果如下：
