问题
I am trying tokenize strings into ngrams. Strangely in the documentation for the NGramTokenizer I do not see a method that will return the individual ngrams that were tokenized. In fact I only see two methods in the NGramTokenizer class that return String Objects.
Here is the code that I have:
Reader reader = new StringReader("This is a test string");
NGramTokenizer gramTokenizer = new NGramTokenizer(reader, 1, 3);
- Where are the ngrams that were tokenized?
- How can I get the output in Strings/Words?
I want my output to be like: This, is, a, test, string, This is, is a, a test, test string, This is a, is a test, a test string.
回答1:
I don't think you'll find what you're looking for trying to find methods returning String. You'll need to deal with Attributes.
Should work something like:
Reader reader = new StringReader("This is a test string");
NGramTokenizer gramTokenizer = new NGramTokenizer(reader, 1, 3);
CharTermAttribute charTermAttribute = gramTokenizer.addAttribute(CharTermAttribute.class);
gramTokenizer.reset();
while (gramTokenizer.incrementToken()) {
String token = charTermAttribute.toString();
//Do something
}
gramTokenizer.end();
gramTokenizer.close();
Be sure to reset() the Tokenizer it if it needs to be reused after that, though.
Tokenizing grouping of words, rather than chars, per comments:
Reader reader = new StringReader("This is a test string");
TokenStream tokenizer = new StandardTokenizer(Version.LUCENE_36, reader);
tokenizer = new ShingleFilter(tokenizer, 1, 3);
CharTermAttribute charTermAttribute = tokenizer.addAttribute(CharTermAttribute.class);
while (tokenizer.incrementToken()) {
String token = charTermAttribute.toString();
//Do something
}
回答2:
For recent version of Lucene (4.2.1), this is a clean code which works. Before executing this code, you have to import 2 jar files:
- lucene-core-4.2.1.jar
- lucene-analuzers-common-4.2.1.jar
Find these files at http://www.apache.org/dyn/closer.cgi/lucene/java/4.2.1
//LUCENE 4.2.1
Reader reader = new StringReader("This is a test string");
NGramTokenizer gramTokenizer = new NGramTokenizer(reader, 1, 3);
CharTermAttribute charTermAttribute = gramTokenizer.addAttribute(CharTermAttribute.class);
while (gramTokenizer.incrementToken()) {
String token = charTermAttribute.toString();
System.out.println(token);
}
回答3:
Without creating a test program, I would guess that incrementToken() returns the next token which will be one of the ngrams.
For example, using ngram lengths of 1-3 with the string 'a b c d', NGramTokenizer could return:
a
a b
a b c
b
b c
b c d
c
c d
d
where 'a', 'a b', etc. are the resulting ngrams.
[Edit]
You might also want to look at Querying lucene tokens without indexing, as it talks about peeking into the token stream.
回答4:
package ngramalgoimpl;
import java.util.*;
public class ngr {
public static List<String> n_grams(int n, String str) {
List<String> n_grams = new ArrayList<String>();
String[] words = str.split(" ");
for (int i = 0; i < words.length - n + 1; i++)
n_grams.add(concatination(words, i, i+n));
return n_grams;
}
/*stringBuilder is used to cancatinate mutable sequence of characters*/
public static String concatination(String[] words, int start, int end) {
StringBuilder sb = new StringBuilder();
for (int i = start; i < end; i++)
sb.append((i > start ? " " : "") + words[i]);
return sb.toString();
}
public static void main(String[] args) {
for (int n = 1; n <= 3; n++) {
for (String ngram : n_grams(n, "This is my car."))
System.out.println(ngram);
System.out.println();
}
}
}
来源:https://stackoverflow.com/questions/13433670/java-lucene-ngramtokenizer