public final class StandardTokenizer extends Tokenizer
This class implements the Word Break rules from the Unicode Text Segmentation algorithm, as specified in Unicode Standard Annex #29.
Many applications have specific tokenizer needs. If this tokenizer does not suit your application, please consider copying this source code directory to your project and maintaining your own grammar-based tokenizer.
AttributeSource.State| Modifier and Type | Field and Description | 
|---|---|
static int | 
ALPHANUM
Alpha/numeric token type 
 | 
static int | 
EMOJI
Emoji token type. 
 | 
static int | 
HANGUL
Hangul token type 
 | 
static int | 
HIRAGANA
Hiragana token type 
 | 
static int | 
IDEOGRAPHIC
Ideographic token type 
 | 
static int | 
KATAKANA
Katakana token type 
 | 
static int | 
MAX_TOKEN_LENGTH_LIMIT
Absolute maximum sized token 
 | 
static int | 
NUM
Numeric token type 
 | 
static int | 
SOUTHEAST_ASIAN
Southeast Asian token type 
 | 
static String[] | 
TOKEN_TYPES
String token types that correspond to token type int constants 
 | 
DEFAULT_TOKEN_ATTRIBUTE_FACTORY| Constructor and Description | 
|---|
StandardTokenizer()
Creates a new instance of the  
StandardTokenizer. | 
StandardTokenizer(AttributeFactory factory)
Creates a new StandardTokenizer with a given  
AttributeFactory | 
| Modifier and Type | Method and Description | 
|---|---|
void | 
close()
Releases resources associated with this stream. 
 | 
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). | 
int | 
getMaxTokenLength()
Returns the current maximum token length 
 | 
boolean | 
incrementToken()
Consumers (i.e.,  
IndexWriter) use this method to advance the stream to
 the next token. | 
void | 
reset()
This method is called by a consumer before it begins consumption using
  
TokenStream.incrementToken(). | 
void | 
setMaxTokenLength(int length)
Set the max allowed token length. 
 | 
correctOffset, setReaderaddAttribute, addAttributeImpl, captureState, clearAttributes, cloneAttributes, copyTo, endAttributes, equals, getAttribute, getAttributeClassesIterator, getAttributeFactory, getAttributeImplsIterator, hasAttribute, hasAttributes, hashCode, reflectAsString, reflectWith, removeAllAttributes, restoreState, toStringpublic static final int ALPHANUM
public static final int NUM
public static final int SOUTHEAST_ASIAN
public static final int IDEOGRAPHIC
public static final int HIRAGANA
public static final int KATAKANA
public static final int HANGUL
public static final int EMOJI
public static final String[] TOKEN_TYPES
public static final int MAX_TOKEN_LENGTH_LIMIT
public StandardTokenizer()
StandardTokenizer.  Attaches
 the input to the newly created JFlex scanner.
 See http://issues.apache.org/jira/browse/LUCENE-1068public StandardTokenizer(AttributeFactory factory)
AttributeFactorypublic void setMaxTokenLength(int length)
LengthFilter to remove long tokens.  The default is
 StandardAnalyzer.DEFAULT_MAX_TOKEN_LENGTH.IllegalArgumentException - if the given length is outside of the
  range [1, 1048576].public int getMaxTokenLength()
setMaxTokenLength(int)public final boolean incrementToken()
                             throws IOException
TokenStreamIndexWriter) use this method to advance the stream to
 the next token. Implementing classes must implement this method and update
 the appropriate AttributeImpls with the attributes of the next
 token.
 
 The producer must make no assumptions about the attributes after the method
 has been returned: the caller may arbitrarily change it. If the producer
 needs to preserve the state for subsequent calls, it can use
 AttributeSource.captureState() to create a copy of the current attribute state.
 
 This method is called for every token of a document, so an efficient
 implementation is crucial for good performance. To avoid calls to
 AttributeSource.addAttribute(Class) and AttributeSource.getAttribute(Class),
 references to all AttributeImpls that this stream uses should be
 retrieved during instantiation.
 
 To ensure that filters and consumers know which attributes are available,
 the attributes must be added during instantiation. Filters and consumers
 are not required to check for availability of attributes in
 TokenStream.incrementToken().
incrementToken in class TokenStreamIOExceptionpublic final void end()
               throws IOException
TokenStreamTokenStream.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.
Additionally any skipped positions (such as those removed by a stopfilter) can be applied to the position increment, or any adjustment of other attributes where the end-of-stream value may be important.
 If you override this method, always call super.end().
end in class TokenStreamIOException - If an I/O error occurspublic void close()
           throws IOException
Tokenizer
 If you override this method, always call super.close(), otherwise
 some internal state will not be correctly reset (e.g., Tokenizer will
 throw IllegalStateException on reuse).
 
 NOTE: 
 The default implementation closes the input Reader, so
 be sure to call super.close() when overriding this method.
close in interface Closeableclose in interface AutoCloseableclose in class TokenizerIOExceptionpublic void reset()
           throws IOException
TokenStreamTokenStream.incrementToken().
 Resets this stream to a clean state. Stateful implementations must implement this method so that they can be reused, just as if they had been created fresh.
 If you override this method, always call super.reset(), otherwise
 some internal state will not be correctly reset (e.g., Tokenizer will
 throw IllegalStateException on further usage).
reset in class TokenizerIOExceptionCopyright © 2000-2021 Apache Software Foundation. All Rights Reserved.