ShingleMatrixFilter (Lucene 2.4.1 API)
Keywords: org.apache.lucene.analysis.shingle.ShingleMatrixFilter class

Overview | Package | Class | Use | Tree | Deprecated | Index | Help
PREV CLASS NEXT CLASS | FRAMES NO FRAMES
SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD

## org.apache.lucene.analysis.shingle
Class ShingleMatrixFilter

    java.lang.Object
      org.apache.lucene.analysis.TokenStream
          org.apache.lucene.analysis.shingle.ShingleMatrixFilter

    public class ShingleMatrixFilter

extends TokenStream

A ShingleMatrixFilter constructs shingles (token n-grams) from a token stream. In other words, it creates combinations of tokens as a single token.

For example, the sentence "please divide this sentence into shingles" might be tokenized into shingles "please divide", "divide this", "this sentence", "sentence into", and "into shingles".

Using a shingle filter at index and query time can in some instances be used to replace phrase queries, especially them with 0 slop.

Without a spacer character it can be used to handle composition and decomposion of words such as searching for "multi dimensional" instead of "multidimensional". It is a rather common human problem at query time in several languages, notebly the northern Germanic branch.

Shingles are amongst many things also known to solve problems in spell checking, language detection and document clustering.

This filter is backed by a three dimensional column oriented matrix used to create permutations of the second dimension, the rows, and leaves the third, the z-axis, for for multi token synonyms.

In order to use this filter you need to define a way of positioning the input stream tokens in the matrix. This is done using a `ShingleMatrixFilter.TokenSettingsCodec`. There are three simple implementations for demonstrational purposes, see `ShingleMatrixFilter.OneDimensionalNonWeightedTokenSettingsCodec`, `ShingleMatrixFilter.TwoDimensionalNonWeightedSynonymTokenSettingsCodec` and `ShingleMatrixFilter.SimpleThreeDimensionalTokenSettingsCodec`.

Consider this token matrix:

      Token[column][row][z-axis]{
        {{hello}, {greetings, and, salutations}},
        {{world}, {earth}, {tellus}}
      };

It would produce the following 2-3 gram sized shingles:

     "hello_world"
     "greetings_and"
     "greetings_and_salutations"
     "and_salutations"
     "and_salutations_world"
     "salutations_world"
     "hello_earth"
     "and_salutations_earth"
     "salutations_earth"
     "hello_tellus"
     "and_salutations_tellus"
     "salutations_tellus"

This implementation can be rather heap demanding if (maximum shingle size - minimum shingle size) is a great number and the stream contains many columns, or if each column contains a great number of rows.

The problem is that in order avoid producing duplicates the filter needs to keep track of any shingle already produced and returned to the consumer. There is a bit of resource management to handle this but it would of course be much better if the filter was written so it never created the same shingle more than once in the first place.

The filter also has basic support for calculating weights for the shingles based on the weights of the tokens from the input stream, output shingle size, et c. See `calculateShingleWeight(org.apache.lucene.analysis.Token, java.util.List, int, java.util.List, java.util.List)`.

Nested Class Summary
`static class` | `ShingleMatrixFilter.Matrix` A column focused matrix in three dimensions:
`static class` | `ShingleMatrixFilter.OneDimensionalNonWeightedTokenSettingsCodec` Using this codec makes a `ShingleMatrixFilter` act like `ShingleFilter`.
`static class` | `ShingleMatrixFilter.SimpleThreeDimensionalTokenSettingsCodec` A full featured codec not to be used for something serious.
`static class` | `ShingleMatrixFilter.TokenPositioner` Used to describe how a `Token` is to be inserted to a `ShingleMatrixFilter.Matrix`.
`static class` | `ShingleMatrixFilter.TokenSettingsCodec` Strategy used to code and decode meta data of the tokens from the input stream regarding how to position the tokens in the matrix, set and retreive weight, et c.
`static class` | `ShingleMatrixFilter.TwoDimensionalNonWeightedSynonymTokenSettingsCodec` A codec that creates a two dimensional matrix by treating tokens from the input stream with 0 position increment as new rows to the current column.

Field Summary
`static ShingleMatrixFilter.TokenSettingsCodec` | `defaultSettingsCodec`
`static Character` | `defaultSpacerCharacter`
`static boolean` | `ignoringSinglePrefixOrSuffixShingleByDefault`

Constructor Summary
`ShingleMatrixFilter(ShingleMatrixFilter.Matrix matrix, int minimumShingleSize, int maximumShingleSize, Character spacerCharacter, boolean ignoringSinglePrefixOrSuffixShingle, ShingleMatrixFilter.TokenSettingsCodec settingsCodec)` Creates a shingle filter based on a user defined matrix.
`ShingleMatrixFilter(TokenStream input, int minimumShingleSize, int maximumShingleSize)` Creates a shingle filter using default settings.
`ShingleMatrixFilter(TokenStream input, int minimumShingleSize, int maximumShingleSize, Character spacerCharacter)` Creates a shingle filter using default settings.
`ShingleMatrixFilter(TokenStream input, int minimumShingleSize, int maximumShingleSize, Character spacerCharacter, boolean ignoringSinglePrefixOrSuffixShingle)` Creates a shingle filter using the default `ShingleMatrixFilter.TokenSettingsCodec`.
`ShingleMatrixFilter(TokenStream input, int minimumShingleSize, int maximumShingleSize, Character spacerCharacter, boolean ignoringSinglePrefixOrSuffixShingle, ShingleMatrixFilter.TokenSettingsCodec settingsCodec)` Creates a shingle filter with ad hoc parameter settings.

Method Summary
`float` | `calculateShingleWeight(Token shingleToken, List shingle, int currentPermutationStartOffset, List currentPermutationRows, List currentPermuationTokens)` Evaluates the new shingle token weight.
`ShingleMatrixFilter.Matrix` | `getMatrix()`
`int` | `getMaximumShingleSize()`
`int` | `getMinimumShingleSize()`
`Character` | `getSpacerCharacter()`
`boolean` | `isIgnoringSinglePrefixOrSuffixShingle()`
`Token` | `next(Token reusableToken)`
`void` | `reset()`
`void` | `setIgnoringSinglePrefixOrSuffixShingle(boolean ignoringSinglePrefixOrSuffixShingle)`
`void` | `setMatrix(ShingleMatrixFilter.Matrix matrix)`
`void` | `setMaximumShingleSize(int maximumShingleSize)`
`void` | `setMinimumShingleSize(int minimumShingleSize)`
`void` | `setSpacerCharacter(Character spacerCharacter)`
`void` | `updateToken(Token token, List shingle, int currentPermutationStartOffset, List currentPermutationRows, List currentPermuationTokens)` Final touch of a shingle token before it is passed on to the consumer from method `next(org.apache.lucene.analysis.Token)`.

Methods inherited from class org.apache.lucene.analysis.TokenStream
`close, next`

Methods inherited from class java.lang.Object
`clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait`

Field Detail

### defaultSpacerCharacter

    public static Character defaultSpacerCharacter

### defaultSettingsCodec

    public static ShingleMatrixFilter.TokenSettingsCodec defaultSettingsCodec

### ignoringSinglePrefixOrSuffixShingleByDefault

    public static boolean ignoringSinglePrefixOrSuffixShingleByDefault

Constructor Detail

### ShingleMatrixFilter

    public ShingleMatrixFilter(ShingleMatrixFilter.Matrix matrix,
                               int minimumShingleSize,
                               int maximumShingleSize,
                               Character spacerCharacter,
                               boolean ignoringSinglePrefixOrSuffixShingle,
                               ShingleMatrixFilter.TokenSettingsCodec settingsCodec)

  Creates a shingle filter based on a user defined matrix. The filter /will/ delete columns from the input matrix! You will not be able to reset the filter if you used this constructor. todo: don't touch the matrix! use a boolean, set the input stream to null or something, and keep track of where in the matrix we are at.

  Parameters:
    `matrix` - the input based for creating shingles. Does not need to contain any information until `next(org.apache.lucene.analysis.Token)` is called the first time.
    `minimumShingleSize` - minimum number of tokens in any shingle.
    `maximumShingleSize` - maximum number of tokens in any shingle.
    `spacerCharacter` - character to use between texts of the token parts in a shingle. null for none.
    `ignoringSinglePrefixOrSuffixShingle` - if true, shingles that only contains permutation of the first of the last column will not be produced as shingles. Useful when adding boundary marker tokens such as '^' and '$'.
    `settingsCodec` - codec used to read input token weight and matrix positioning.

### ShingleMatrixFilter

    public ShingleMatrixFilter(TokenStream input,
                               int minimumShingleSize,
                               int maximumShingleSize)

  Creates a shingle filter using default settings.

  Parameters:
    `input` - stream from wich to construct the matrix
    `minimumShingleSize` - minimum number of tokens in any shingle.
    `maximumShingleSize` - maximum number of tokens in any shingle.
  See Also:
    `defaultSpacerCharacter`, `ignoringSinglePrefixOrSuffixShingleByDefault`, `defaultSettingsCodec`

### ShingleMatrixFilter

    public ShingleMatrixFilter(TokenStream input,
                               int minimumShingleSize,
                               int maximumShingleSize,
                               Character spacerCharacter)

  Creates a shingle filter using default settings.

  Parameters:
    `input` - stream from wich to construct the matrix
    `minimumShingleSize` - minimum number of tokens in any shingle.
    `maximumShingleSize` - maximum number of tokens in any shingle.
    `spacerCharacter` - character to use between texts of the token parts in a shingle. null for none.
  See Also:
    `ignoringSinglePrefixOrSuffixShingleByDefault`, `defaultSettingsCodec`

### ShingleMatrixFilter

    public ShingleMatrixFilter(TokenStream input,
                               int minimumShingleSize,
                               int maximumShingleSize,
                               Character spacerCharacter,
                               boolean ignoringSinglePrefixOrSuffixShingle)

  Creates a shingle filter using the default `ShingleMatrixFilter.TokenSettingsCodec`.

  Parameters:
    `input` - stream from wich to construct the matrix
    `minimumShingleSize` - minimum number of tokens in any shingle.
    `maximumShingleSize` - maximum number of tokens in any shingle.
    `spacerCharacter` - character to use between texts of the token parts in a shingle. null for none.
    `ignoringSinglePrefixOrSuffixShingle` - if true, shingles that only contains permutation of the first of the last column will not be produced as shingles. Useful when adding boundary marker tokens such as '^' and '$'.
  See Also:
    `defaultSettingsCodec`

### ShingleMatrixFilter

    public ShingleMatrixFilter(TokenStream input,
                               int minimumShingleSize,
                               int maximumShingleSize,
                               Character spacerCharacter,
                               boolean ignoringSinglePrefixOrSuffixShingle,
                               ShingleMatrixFilter.TokenSettingsCodec settingsCodec)

  Creates a shingle filter with ad hoc parameter settings.

  Parameters:
    `input` - stream from wich to construct the matrix
    `minimumShingleSize` - minimum number of tokens in any shingle.
    `maximumShingleSize` - maximum number of tokens in any shingle.
    `spacerCharacter` - character to use between texts of the token parts in a shingle. null for none.
    `ignoringSinglePrefixOrSuffixShingle` - if true, shingles that only contains permutation of the first of the last column will not be produced as shingles. Useful when adding boundary marker tokens such as '^' and '$'.
    `settingsCodec` - codec used to read input token weight and matrix positioning.

Method Detail

### reset

    public void reset()
               throws IOException

  Overrides:
    `reset` in class `TokenStream`
  Throws:
    `IOException`

### next

    public Token next(Token reusableToken)
               throws IOException

  Overrides:
    `next` in class `TokenStream`
  Throws:
    `IOException`

### updateToken

    public void updateToken(Token token,
                            List shingle,
                            int currentPermutationStartOffset,
                            List currentPermutationRows,
                            List currentPermuationTokens)

  Final touch of a shingle token before it is passed on to the consumer from method `next(org.apache.lucene.analysis.Token)`. Calculates and sets type, flags, position increment, start/end offsets and weight.

  Parameters:
    `token` - Shingle token
    `shingle` - Tokens used to produce the shingle token.
    `currentPermutationStartOffset` - Start offset in parameter currentPermutationTokens
    `currentPermutationRows` - index to Matrix.Column.Row from the position of tokens in parameter currentPermutationTokens
    `currentPermuationTokens` - tokens of the current permutation of rows in the matrix.

### calculateShingleWeight

    public float calculateShingleWeight(Token shingleToken,
                                        List shingle,
                                        int currentPermutationStartOffset,
                                        List currentPermutationRows,
                                        List currentPermuationTokens)

  Evaluates the new shingle token weight. for (shingle part token in shingle) weight += shingle part token weight * (1 / sqrt(all shingle part token weights summed)) This algorithm gives a slightly greater score for longer shingles and is rather penalising to great shingle token part weights.

  Parameters:
    `shingleToken` - token returned to consumer
    `shingle` - tokens the tokens used to produce the shingle token.
    `currentPermutationStartOffset` - start offset in parameter currentPermutationRows and currentPermutationTokens.
    `currentPermutationRows` - an index to what matrix row a token in parameter currentPermutationTokens exist.
    `currentPermuationTokens` - all tokens in the current row permutation of the matrix. A sub list (parameter offset, parameter shingle.size) equals parameter shingle.
  Returns:
    weight to be set for parameter shingleToken

### getMinimumShingleSize

    public int getMinimumShingleSize()

### setMinimumShingleSize

    public void setMinimumShingleSize(int minimumShingleSize)

### getMaximumShingleSize

    public int getMaximumShingleSize()

### setMaximumShingleSize

    public void setMaximumShingleSize(int maximumShingleSize)

### getMatrix

    public ShingleMatrixFilter.Matrix getMatrix()

### setMatrix

    public void setMatrix(ShingleMatrixFilter.Matrix matrix)

### getSpacerCharacter

    public Character getSpacerCharacter()

### setSpacerCharacter

    public void setSpacerCharacter(Character spacerCharacter)

### isIgnoringSinglePrefixOrSuffixShingle

    public boolean isIgnoringSinglePrefixOrSuffixShingle()

### setIgnoringSinglePrefixOrSuffixShingle

    public void setIgnoringSinglePrefixOrSuffixShingle(boolean ignoringSinglePrefixOrSuffixShingle)

Overview | Package | Class | Use | Tree | Deprecated | Index | Help
PREV CLASS NEXT CLASS | FRAMES NO FRAMES
SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD

Copyright © 2000-2009 Apache Software Foundation. All Rights Reserved.