trait
Segmenter[Tag] extends StringAnalysisFunction[Sentence with Token, Tag] with (IndexedSeq[String]) ⇒ IndexedSeq[(Tag, Span)]
Abstract Value Members
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abstract
def
apply(v1: IndexedSeq[String]): IndexedSeq[(Tag, Span)]
Concrete Value Members
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final
def
!=(arg0: AnyRef): Boolean
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final
def
!=(arg0: Any): Boolean
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final
def
##(): Int
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final
def
==(arg0: AnyRef): Boolean
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final
def
==(arg0: Any): Boolean
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def
andThen[A](g: (IndexedSeq[(Tag, Span)]) ⇒ A): (IndexedSeq[String]) ⇒ A
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final
def
asInstanceOf[T0]: T0
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def
clone(): AnyRef
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def
compose[A](g: (A) ⇒ IndexedSeq[String]): (A) ⇒ IndexedSeq[(Tag, Span)]
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final
def
eq(arg0: AnyRef): Boolean
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def
equals(arg0: Any): Boolean
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def
finalize(): Unit
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final
def
getClass(): Class[_]
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def
hashCode(): Int
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final
def
isInstanceOf[T0]: Boolean
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final
def
ne(arg0: AnyRef): Boolean
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final
def
notify(): Unit
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final
def
notifyAll(): Unit
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final
def
synchronized[T0](arg0: ⇒ T0): T0
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def
toString(): String
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final
def
wait(): Unit
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final
def
wait(arg0: Long, arg1: Int): Unit
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final
def
wait(arg0: Long): Unit
Inherited from (IndexedSeq[String]) ⇒ IndexedSeq[(Tag, Span)]
Inherited from AnyRef
Inherited from Any
A epic.sequences.Segmenter splits up a sentence into labeled segments. For instance, it might find all the people, places and things (Named Entity Recognition) in a document.
the type of tag that is annotated