org.apache.lucene.analysis.icu
Class ICUNormalizer2Filter
java.lang.Object
org.apache.lucene.util.AttributeSource
org.apache.lucene.analysis.TokenStream
org.apache.lucene.analysis.TokenFilter
org.apache.lucene.analysis.icu.ICUNormalizer2Filter
- All Implemented Interfaces:
- Closeable
- Direct Known Subclasses:
- ICUFoldingFilter
public class ICUNormalizer2Filter
- extends TokenFilter
Normalize token text with ICU's Normalizer2
With this filter, you can normalize text in the following ways:
- NFKC Normalization, Case Folding, and removing Ignorables (the default)
- Using a standard Normalization mode (NFC, NFD, NFKC, NFKD)
- Based on rules from a custom normalization mapping.
If you use the defaults, this filter is a simple way to standardize Unicode text
in a language-independent way for search:
- The case folding that it does can be seen as a replacement for
LowerCaseFilter: For example, it handles cases such as the Greek sigma, so that
"Μάϊος" and "ΜΆΪΟΣ" will match correctly.
- The normalization will standardizes different forms of the same
character in Unicode. For example, CJK full-width numbers will be standardized
to their ASCII forms.
- Ignorables such as Zero-Width Joiner and Variation Selectors are removed.
These are typically modifier characters that affect display.
- See Also:
Normalizer2
,
FilteredNormalizer2
Constructor Summary |
ICUNormalizer2Filter(TokenStream input)
Create a new Normalizer2Filter that combines NFKC normalization, Case
Folding, and removes Default Ignorables (NFKC_Casefold) |
ICUNormalizer2Filter(TokenStream input,
com.ibm.icu.text.Normalizer2 normalizer)
Create a new Normalizer2Filter with the specified Normalizer2 |
Method Summary |
boolean |
incrementToken()
Consumers (i.e., IndexWriter ) use this method to advance the stream to
the next token. |
Methods inherited from class org.apache.lucene.util.AttributeSource |
addAttribute, addAttributeImpl, captureState, clearAttributes, cloneAttributes, copyTo, equals, getAttribute, getAttributeClassesIterator, getAttributeFactory, getAttributeImplsIterator, hasAttribute, hasAttributes, hashCode, reflectAsString, reflectWith, restoreState, toString |
ICUNormalizer2Filter
public ICUNormalizer2Filter(TokenStream input)
- Create a new Normalizer2Filter that combines NFKC normalization, Case
Folding, and removes Default Ignorables (NFKC_Casefold)
ICUNormalizer2Filter
public ICUNormalizer2Filter(TokenStream input,
com.ibm.icu.text.Normalizer2 normalizer)
- Create a new Normalizer2Filter with the specified Normalizer2
- Parameters:
input
- streamnormalizer
- normalizer to use
incrementToken
public final boolean incrementToken()
throws IOException
- Description copied from class:
TokenStream
- Consumers (i.e.,
IndexWriter
) use this method to advance the stream to
the next token. Implementing classes must implement this method and update
the appropriate AttributeImpl
s 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 AttributeImpl
s 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()
.
- Specified by:
incrementToken
in class TokenStream
- Returns:
- false for end of stream; true otherwise
- Throws:
IOException
Copyright © 2000-2011 Apache Software Foundation. All Rights Reserved.