cc.factorie.app.nlp.segment

BigramStatistics

class BigramStatistics extends AnyRef

User: apassos Date: 8/19/13 Time: 2:00 PM

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Instance Constructors

  1. new BigramStatistics()

Value Members

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

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

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  3. final def ##(): Int

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  4. final def ==(arg0: AnyRef): Boolean

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

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  6. def aggregateCounts(others: Iterable[BigramStatistics]): Unit

  7. final def asInstanceOf[T0]: T0

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  8. val bigramCounts: LinkedHashMap[(String, String), Int]

  9. def clone(): AnyRef

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    protected[java.lang]
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    @throws( ... )
  10. final def eq(arg0: AnyRef): Boolean

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  11. def equals(arg0: Any): Boolean

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  12. def finalize(): Unit

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    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )
  13. final def getClass(): Class[_]

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  14. def getLikelyPhrases(countThreshold: Int = 5, scoreThreshold: Double = 100.0): Seq[Seq[String]]

  15. def hashCode(): Int

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  16. final def isInstanceOf[T0]: Boolean

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

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  18. final def notify(): Unit

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  19. final def notifyAll(): Unit

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  20. def process(documents: Iterable[Document]): Unit

  21. def process(document: Document): Unit

  22. def processParallel(documents: Iterable[Document], nThreads: Int = ...): Unit

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

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  24. def toString(): String

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  25. def topMutualInformationBigrams(threshold: Int = 5): Seq[(String, String, Double)]

  26. var totalTokens: Int

  27. final def wait(): Unit

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    @throws( ... )
  28. final def wait(arg0: Long, arg1: Int): Unit

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

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  30. val wordCounts: LinkedHashMap[String, Int]

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