LanguageModel (predict4all-core 1.2.0 API)

All Known Implementing Classes:

AbstractLanguageModel, FrenchLanguageModel
```
public interface LanguageModel
```
Represent a model specific to the input language.
This model is useful to better perform on NLP task by using specific parameters from a language.
E.G. getAverageWordLength() is useful to optimize tokenizer.

Method Summary

All Methods Instance Methods Abstract Methods
Modifier and Type	Method	Description
`int`	`getAverageVocabularySize()`	Average total vocabulary size (different existing words)
`int`	`getAverageWordLength()`
`BaseWordDictionary`	`getBaseWordDictionary(TrainingConfiguration configuration)`
`String`	`getId()`
`StopWordDictionary`	`getStopWordDictionary(TrainingConfiguration configuration)`
`TokenMatcher[]`	`getTokenMatchersForNGram()`
`TokenMatcher[]`	`getTokenMatchersForSemanticAnalysis()`
`Set<String>`	`getValidOneCharWords()`

- Method Detail
  - getId
```
String getId()
```
    Returns:
    
    identifier for this language model (e.g. ISO code)
  - getAverageWordLength
```
int getAverageWordLength()
```
    Returns:
    
    the average word length for this language (can be round to the upper value)
  - getAverageVocabularySize
```
int getAverageVocabularySize()
```
    Average total vocabulary size (different existing words)
    
    Returns:
    
    the average vocabulary size for this language.
  - getValidOneCharWords
```
Set<String> getValidOneCharWords()
```
  - getTokenMatchersForSemanticAnalysis
```
TokenMatcher[] getTokenMatchersForSemanticAnalysis()
```
  - getTokenMatchersForNGram
```
TokenMatcher[] getTokenMatchersForNGram()
```
  - getStopWordDictionary
```
StopWordDictionary getStopWordDictionary(TrainingConfiguration configuration)
```
  - getBaseWordDictionary
```
BaseWordDictionary getBaseWordDictionary(TrainingConfiguration configuration)
```