Question

我正在撰写与smarterChild类似的内容（当天后来自动化AOL Instant Messenger聊天程序），并对我确定句子结构和响应的方法感到好奇。

目前，裸骨设计是使用5种主要方法，根据用户输入共同确定适当的响应：

    1) Read(): initially accepts user input, then calls first of many methods: sentenceType()
    2) getSentenceType(): User sentence type: Question, statement, directive, suggestion, etc…
    3) getWho(): If question is about the computer, or about someone else…
    4) getCategory(): What category the question is about (weather, sports…)
    5) getResponse(): finally, form a response

这些方法将查询数据库以确定用户输入是否包含关键字...

getSentenceType()的示例：

public String getSentenceType(String sentence) {
    String type = null;

    for (String s : db.getQuestions()) {
        if (sentence.contains(s)) {
            type = "question";
            break;
        }
        else {
            type = "statement";
        }
    }
    return getWho(type, sentence);
}

返回句子结构的最终方法示例：

//final call... 
public String getResponse(String cat, String who, String type) {
    String response = new String();     
    String auxVerb, subject, mainVerb, noun; 

    auxVerb = "do";
    subject = who;
    mainVerb = "like";
    noun = cat;

    //question structure: auxiliary verb + subject + main verb + noun/pronoun
    //                      DO              YOU         LIKE        MARY?

    if (type.equals("question")) {
        response = subject + " " + auxVerb + " " + mainVerb + " " + noun +  ". "; 
    }
    else {
        response = auxVerb + " " + subject + " " + mainVerb + " " + noun  + "?";
    }

    return response;
}

示例数据库方法：

public String[] getQuestions() {
    String[] questions = new String[] {"why", "?"}; 
    return questions;
}

public String[] getWeather() {
    String[] weather = new String[] {"cold", "hot", "rainy", "weather"};    
    return weather;
}

然后逐步将所有方法结果连接成一个连贯的响应...然后将结果发送回Read（），将结果打印出来给用户......

这是一种效率低下的方法吗？我知道，如果我继续沿着这条路走下去......建立一个强大的系统，它将需要大量的if else检查和一个庞大的数据库来确定用户输入的每种可能的响应类型。

有没有建议的方法？

谢谢

确定英语句子结构和适当的反应

0 个答案: