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java.lang.Object org.apache.lucene.util.AttributeSource org.apache.lucene.analysis.TokenStream org.apache.lucene.analysis.Tokenizer org.apache.lucene.analysis.ngram.NGramTokenizer
public final class NGramTokenizer
Tokenizes the input into n-grams of the given size(s).
Nested Class Summary |
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Nested classes/interfaces inherited from class org.apache.lucene.util.AttributeSource |
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AttributeSource.AttributeFactory, AttributeSource.State |
Field Summary | |
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static int |
DEFAULT_MAX_NGRAM_SIZE
|
static int |
DEFAULT_MIN_NGRAM_SIZE
|
Fields inherited from class org.apache.lucene.analysis.Tokenizer |
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input |
Constructor Summary | |
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NGramTokenizer(AttributeSource.AttributeFactory factory,
Reader input,
int minGram,
int maxGram)
Creates NGramTokenizer with given min and max n-grams. |
|
NGramTokenizer(AttributeSource source,
Reader input,
int minGram,
int maxGram)
Creates NGramTokenizer with given min and max n-grams. |
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NGramTokenizer(Reader input)
Creates NGramTokenizer with default min and max n-grams. |
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NGramTokenizer(Reader input,
int minGram,
int maxGram)
Creates NGramTokenizer with given min and max n-grams. |
Method Summary | |
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void |
end()
This method is called by the consumer after the last token has been consumed, after TokenStream.incrementToken() returned false
(using the new TokenStream API). |
boolean |
incrementToken()
Returns the next token in the stream, or null at EOS. |
void |
reset()
Resets this stream to the beginning. |
Methods inherited from class org.apache.lucene.analysis.Tokenizer |
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close, correctOffset, reset |
Methods inherited from class org.apache.lucene.util.AttributeSource |
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addAttribute, addAttributeImpl, captureState, clearAttributes, cloneAttributes, copyTo, equals, getAttribute, getAttributeClassesIterator, getAttributeFactory, getAttributeImplsIterator, hasAttribute, hasAttributes, hashCode, reflectAsString, reflectWith, restoreState, toString |
Methods inherited from class java.lang.Object |
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clone, finalize, getClass, notify, notifyAll, wait, wait, wait |
Field Detail |
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public static final int DEFAULT_MIN_NGRAM_SIZE
public static final int DEFAULT_MAX_NGRAM_SIZE
Constructor Detail |
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public NGramTokenizer(Reader input, int minGram, int maxGram)
input
- Reader
holding the input to be tokenizedminGram
- the smallest n-gram to generatemaxGram
- the largest n-gram to generatepublic NGramTokenizer(AttributeSource source, Reader input, int minGram, int maxGram)
source
- AttributeSource
to useinput
- Reader
holding the input to be tokenizedminGram
- the smallest n-gram to generatemaxGram
- the largest n-gram to generatepublic NGramTokenizer(AttributeSource.AttributeFactory factory, Reader input, int minGram, int maxGram)
factory
- AttributeSource.AttributeFactory
to useinput
- Reader
holding the input to be tokenizedminGram
- the smallest n-gram to generatemaxGram
- the largest n-gram to generatepublic NGramTokenizer(Reader input)
input
- Reader
holding the input to be tokenizedMethod Detail |
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public boolean incrementToken() throws IOException
incrementToken
in class TokenStream
IOException
public void end()
TokenStream
TokenStream.incrementToken()
returned false
(using the new TokenStream
API). Streams implementing the old API
should upgrade to use this feature.
This method can be used to perform any end-of-stream operations, such as
setting the final offset of a stream. The final offset of a stream might
differ from the offset of the last token eg in case one or more whitespaces
followed after the last token, but a WhitespaceTokenizer
was used.
end
in class TokenStream
public void reset() throws IOException
TokenStream
TokenStream.reset()
is not needed for
the standard indexing process. However, if the tokens of a
TokenStream
are intended to be consumed more than once, it is
necessary to implement TokenStream.reset()
. Note that if your TokenStream
caches tokens and feeds them back again after a reset, it is imperative
that you clone the tokens when you store them away (on the first pass) as
well as when you return them (on future passes after TokenStream.reset()
).
reset
in class TokenStream
IOException
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