Class

com.johnsnowlabs.nlp.annotators.sbd.pragmatic

PragmaticSentenceExtractor

Related Doc: package pragmatic

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class PragmaticSentenceExtractor extends AnyRef

Reads through symbolized data, and computes the bounds based on regex rules following symbol meaning

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Instance Constructors

  1. new PragmaticSentenceExtractor(text: String, sourceText: String)

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    text

    symbolized text

Value Members

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

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  2. final def ##(): Int

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

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  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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    Attributes
    protected[java.lang]
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  6. final def eq(arg0: AnyRef): Boolean

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  7. def equals(arg0: Any): Boolean

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  8. def finalize(): Unit

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

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

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  10. def hashCode(): Int

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  11. final def isInstanceOf[T0]: Boolean

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

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  13. final def notify(): Unit

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  14. final def notifyAll(): Unit

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  15. def pull: Array[Sentence]

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    1.

    1. Splits the text by boundary symbol that are not within a protection marker 2. replaces all ignore marker symbols with nothing 3. Clean all sentences that ended up being empty between boundaries 4. Puts back all replacement symbols with their original meaning 5. Collects sentence information

    returns

    final sentence structure

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

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  17. def toString(): String

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  18. final def wait(): Unit

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

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

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