BrownClusters

Value Members

1. final def !=(arg0: Any): Boolean

   

   Definition Classes

   AnyRef → Any

2. final def ##(): Int

   

   Definition Classes

   AnyRef → Any

3. final def ==(arg0: Any): Boolean

   

   Definition Classes

   AnyRef → Any

4. final def asInstanceOf[T0]: T0

   

   Definition Classes

   Any

5. implicit val brownClustersFormat: JsonFormat[BrownClusters]

   

6. def clone(): AnyRef

   

   Attributes

   protected[java.lang]

   Definition Classes

   AnyRef

   Annotations

   @throws( ... )

7. final def eq(arg0: AnyRef): Boolean

   

   Definition Classes

   AnyRef

8. def equals(arg0: Any): Boolean

   

   Definition Classes

   AnyRef → Any

9. def finalize(): Unit

   

   Attributes

   protected[java.lang]

   Definition Classes

   AnyRef

   Annotations

   @throws( classOf[java.lang.Throwable] )

10. def fromLiangFormat(filename: String): BrownClusters

    

    Reads a trained set of Brown clusters from a file in Percy Liang's format.

    Reads a trained set of Brown clusters from a file in Percy Liang's format.

    Each line of this file corresponds to a token, and has three tab-separated fields:

    CLUSTER <tab> TOKEN <tab> COUNT

    where CLUSTER is the bitstring representation of TOKEN's cluster, and COUNT is the token's count in the source corpus (from which the Brown clusters were trained)

    filename

    name of file in Liang format

    returns

    a BrownClusters object

11. def fromStringMap(wordsToBitstrings: Map[String, String], wordsToFrequency: Map[String, Int]): BrownClusters

    

    Initializes a BrownClusters object from two maps, one that maps words to their Brown cluster (bitstring representation), another that maps words to their frequency in the source corpus (from which the Brown clusters were trained).

    Initializes a BrownClusters object from two maps, one that maps words to their Brown cluster (bitstring representation), another that maps words to their frequency in the source corpus (from which the Brown clusters were trained).

    wordsToBitstrings

    maps words to the bitstring representation of their Brown cluster

    wordsToFrequency

    maps words to their frequency in the source corpus

    returns

    a BrownClusters object

12. final def getClass(): Class[_]

    

    Definition Classes

    AnyRef → Any

13. def hashCode(): Int

    

    Definition Classes

    AnyRef → Any

14. final def isInstanceOf[T0]: Boolean

    

    Definition Classes

    Any

15. final def ne(arg0: AnyRef): Boolean

    

    Definition Classes

    AnyRef

16. final def notify(): Unit

    

    Definition Classes

    AnyRef

17. final def notifyAll(): Unit

    

    Definition Classes

    AnyRef

18. final def synchronized[T0](arg0: ⇒ T0): T0

    

    Definition Classes

    AnyRef

19. def toString(): String

    

    Definition Classes

    AnyRef → Any

20. final def wait(): Unit

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

21. final def wait(arg0: Long, arg1: Int): Unit

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

22. final def wait(arg0: Long): Unit

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )