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📄 abstractngram.java

📁 Boosting算法软件包
💻 JAVA
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package jboost.examples.ngram;import java.util.Enumeration;import java.util.NoSuchElementException;import java.util.StringTokenizer;/** * This is the abstract class for all ngrams.  The constructor and * nextElement methods (used for all ngrams) are defined. * * @author Rob Schapire (rewritten by Aaron Arvey) */abstract class AbstractNgram implements Enumeration {    /** The stream of ngrams */    Enumeration enumer;       /** The words in the original string */      String[] words;           /**     * The constructor simply sets up the array of words.     */    AbstractNgram(String s) {	StringTokenizer st = new StringTokenizer(s);	words = new String[st.countTokens()];	int i = 0;	while(st.hasMoreElements()) {	    words[i] = st.nextToken();	    i += 1;	}    }    /**     * @return true if there are more elements     */    abstract public boolean hasMoreElements();    /**     * @return next element     */    public Object nextElement() {	if (!hasMoreElements())	    throw new NoSuchElementException();	return ((String) enumer.nextElement());    }    /** a main for testing     public static void main(String[] argv) {	int size = Integer.parseInt(argv[0]);	String ngram_type = argv[1];	java.io.BufferedReader in = new java.io.BufferedReader(new	    java.io.InputStreamReader(System.in));	String line;	try {	    while ((line = in.readLine()) != null) {		Enumeration st;		if (ngram_type.equals("sparse"))		    st = new SparseNgram(line, size);		else if (ngram_type.equals("full"))		    st = new FullNgram(line, size);		else // fixed ngram		    st = new FixedNgram(line, size);		while(st.hasMoreElements()) {		    System.out.println((String) st.nextElement());		}	    }	}	catch (java.io.IOException e) {	    e.printStackTrace();	}    }    */}

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