超级专家术语学习机

public class PhraseOMatic {
    public static void main (String [] args){
        //可以加上其他术语
        String[] wordListOne = {"24/7" , "multiTier","30,000 foot" , "B-to-B","win-win" ,"front-end","web-based" , "pervasive", "smart", "six-sigma" ,"critical-h","dynamic"};
        String[] wordListTwo = { "empowered","sticky" ,"value-added" ,"oriented", "centric" ,"distributed","clustered","branded","outside-the-box" , "posi tioned","networked" , " focused","leveraged" ,"aligned" ,"targeted","shared","cooperative" ,"accelerated"};
        String[] wordListThree = { "process","tipping-point" , "solution"," architecture" , "core competency","strategy", "mindshare" ,"portal", "space" ,"vision" ,"paradigm", "mission"};

        //计算每一组有多少个名词术语
        int ontLength = wordListOne.length;
        int twoLength = wordListTwo.length;
        int threeLength = wordListThree.length;

        //产生随机数字
        int rand1 = (int) (Math.random() * ontLength);
        int rand2 = (int) (Math.random() * twoLength);
        int rand3 = (int) (Math.random() * threeLength);

        //组合出专家术语
        String phrase = wordListOne[rand1] + " " + wordListTwo[rand2] + " " + wordListThree[rand3];

        //输出
        System.out.println(" What we need is a "+phrase);

    }
}


第一次运行结果
What we need is a multiTier aligned tipping-point

第二次运行结果
What we need is a front-end cooperative mindshare