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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.EdgeNGramTokenizer
public final class EdgeNGramTokenizer
Tokenizes the input from an edge into n-grams of given size(s).
This Tokenizer
create n-grams from the beginning edge or ending edge of a input token.
MaxGram can't be larger than 1024 because of limitation.
Nested Class Summary | |
---|---|
static class |
EdgeNGramTokenizer.Side
Specifies which side of the input the n-gram should be generated from |
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_GRAM_SIZE
|
static int |
DEFAULT_MIN_GRAM_SIZE
|
static EdgeNGramTokenizer.Side |
DEFAULT_SIDE
|
Fields inherited from class org.apache.lucene.analysis.Tokenizer |
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input |
Constructor Summary | |
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EdgeNGramTokenizer(AttributeSource.AttributeFactory factory,
Reader input,
EdgeNGramTokenizer.Side side,
int minGram,
int maxGram)
Creates EdgeNGramTokenizer that can generate n-grams in the sizes of the given range |
|
EdgeNGramTokenizer(AttributeSource.AttributeFactory factory,
Reader input,
String sideLabel,
int minGram,
int maxGram)
Creates EdgeNGramTokenizer that can generate n-grams in the sizes of the given range |
|
EdgeNGramTokenizer(AttributeSource source,
Reader input,
EdgeNGramTokenizer.Side side,
int minGram,
int maxGram)
Creates EdgeNGramTokenizer that can generate n-grams in the sizes of the given range |
|
EdgeNGramTokenizer(AttributeSource source,
Reader input,
String sideLabel,
int minGram,
int maxGram)
Creates EdgeNGramTokenizer that can generate n-grams in the sizes of the given range |
|
EdgeNGramTokenizer(Reader input,
EdgeNGramTokenizer.Side side,
int minGram,
int maxGram)
Creates EdgeNGramTokenizer that can generate n-grams in the sizes of the given range |
|
EdgeNGramTokenizer(Reader input,
String sideLabel,
int minGram,
int maxGram)
Creates EdgeNGramTokenizer that can generate n-grams in the sizes of the given range |
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. |
void |
reset(Reader input)
Expert: Reset the tokenizer to a new reader. |
Methods inherited from class org.apache.lucene.analysis.Tokenizer |
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close, correctOffset |
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 EdgeNGramTokenizer.Side DEFAULT_SIDE
public static final int DEFAULT_MAX_GRAM_SIZE
public static final int DEFAULT_MIN_GRAM_SIZE
Constructor Detail |
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public EdgeNGramTokenizer(Reader input, EdgeNGramTokenizer.Side side, int minGram, int maxGram)
input
- Reader
holding the input to be tokenizedside
- the EdgeNGramTokenizer.Side
from which to chop off an n-gramminGram
- the smallest n-gram to generatemaxGram
- the largest n-gram to generatepublic EdgeNGramTokenizer(AttributeSource source, Reader input, EdgeNGramTokenizer.Side side, int minGram, int maxGram)
source
- AttributeSource
to useinput
- Reader
holding the input to be tokenizedside
- the EdgeNGramTokenizer.Side
from which to chop off an n-gramminGram
- the smallest n-gram to generatemaxGram
- the largest n-gram to generatepublic EdgeNGramTokenizer(AttributeSource.AttributeFactory factory, Reader input, EdgeNGramTokenizer.Side side, int minGram, int maxGram)
factory
- AttributeSource.AttributeFactory
to useinput
- Reader
holding the input to be tokenizedside
- the EdgeNGramTokenizer.Side
from which to chop off an n-gramminGram
- the smallest n-gram to generatemaxGram
- the largest n-gram to generatepublic EdgeNGramTokenizer(Reader input, String sideLabel, int minGram, int maxGram)
input
- Reader
holding the input to be tokenizedsideLabel
- the name of the EdgeNGramTokenizer.Side
from which to chop off an n-gramminGram
- the smallest n-gram to generatemaxGram
- the largest n-gram to generatepublic EdgeNGramTokenizer(AttributeSource source, Reader input, String sideLabel, int minGram, int maxGram)
source
- AttributeSource
to useinput
- Reader
holding the input to be tokenizedsideLabel
- the name of the EdgeNGramTokenizer.Side
from which to chop off an n-gramminGram
- the smallest n-gram to generatemaxGram
- the largest n-gram to generatepublic EdgeNGramTokenizer(AttributeSource.AttributeFactory factory, Reader input, String sideLabel, int minGram, int maxGram)
factory
- AttributeSource.AttributeFactory
to useinput
- Reader
holding the input to be tokenizedsideLabel
- the name of the EdgeNGramTokenizer.Side
from which to chop off an n-gramminGram
- the smallest n-gram to generatemaxGram
- the largest n-gram to generateMethod Detail |
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public final boolean incrementToken() throws IOException
incrementToken
in class TokenStream
IOException
public final 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(Reader input) throws IOException
Tokenizer
reset
in class Tokenizer
IOException
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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