Segmentation

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

def asBIOSequence[LL >: L](outsideLabel: LL): TaggedSequence[BIOETag[L], W]

def asFlatTaggedSequence[LL >: L]: TaggedSequence[Option[LL], W]

final def asInstanceOf[T0]: T0

def clone(): AnyRef

final def eq(arg0: AnyRef): Boolean

def features: IndexedSeq[W]

def filterLabels(f: (L) ⇒ Boolean): Segmentation[L, W]

def filterWords(f: (W) ⇒ Boolean): Segmentation[L, W]

final def getClass(): Class[_]

val id: String

final def isInstanceOf[T0]: Boolean

def label: IndexedSeq[(L, Span)]

def length: Int

def map[U](f: (IndexedSeq[W]) ⇒ U): Example[IndexedSeq[(L, Span)], U]

Converts the features in this example to a different one while still preserving label and id.

def mapWords[W2](f: (W) ⇒ W2): Segmentation[L, W2]

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

def relabel[L2](f: (IndexedSeq[(L, Span)]) ⇒ L2): Example[L2, IndexedSeq[W]]

Converts the label in this example to a different one while still preserving features and id.

def render: String

val segments: IndexedSeq[(L, Span)]

def segmentsWithOutside: Iterator[(Option[L], Span)]

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

def toString(): String

def toTree[LL >: L](outsideLabel: LL): Tree[LL]

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

final def wait(arg0: Long): Unit

final def wait(): Unit

val words: IndexedSeq[W]

def finalize(): Unit