HHMMSegmenter

java.lang.Object
- org.apache.lucene.analysis.cn.smart.hhmm.HHMMSegmenter

```
public class HHMMSegmenter
extends java.lang.Object
```
Finds the optimal segmentation of a sentence into Chinese words

Field Summary

Fields
Modifier and Type Field Description

private static WordDictionary wordDict

Constructor Summary

Constructors
Constructor Description

HHMMSegmenter()

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`private SegGraph`	`createSegGraph(java.lang.String sentence)`	Create the `SegGraph` for a sentence.
`private static int[]`	`getCharTypes(java.lang.String sentence)`	Get the character types for every character in a sentence.
`java.util.List<SegToken>`	`process(java.lang.String sentence)`	Return a list of `SegToken` representing the best segmentation of a sentence

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

- Field Detail
  - wordDict
```
private static WordDictionary wordDict
```
- Constructor Detail
  - HHMMSegmenter
```
public HHMMSegmenter()
```
- Method Detail
  - createSegGraph
```
private SegGraph createSegGraph(java.lang.String sentence)
```
    Create the SegGraph for a sentence.
    
    Parameters:
    
    sentence - input sentence, without start and end markers
    
    Returns:
    
    SegGraph corresponding to the input sentence.
  - getCharTypes
```
private static int[] getCharTypes(java.lang.String sentence)
```
    Get the character types for every character in a sentence.
    
    Parameters:
    
    sentence - input sentence
    
    Returns:
    
    array of character types corresponding to character positions in the sentence
    
    See Also:
    
    Utility.getCharType(char)
  - process
```
public java.util.List<SegToken> process(java.lang.String sentence)
```
    Return a list of SegToken representing the best segmentation of a sentence
    
    Parameters:
    
    sentence - input sentence
    
    Returns:
    
    best segmentation as a List