org.allenai.nlpstack.core

Tokenizer

Related Docs: trait Tokenizer | package core

object Tokenizer

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  1. class stringFormat extends Format[Seq[Token], String]

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

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  2. final def ##(): Int

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  6. def computeOffsets(strings: TraversableOnce[String], sentence: String): Seq[Token]

    This method takes tokenized strings and the source sentence.

    This method takes tokenized strings and the source sentence. It adds offset information to the strings by tracing through the source sentence and skipping whitespace.

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

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  8. def equals(arg0: Any): Boolean

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  9. def finalize(): Unit

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

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  11. def hashCode(): Int

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  12. final def isInstanceOf[T0]: Boolean

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  13. object multilineStringFormat extends stringFormat

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

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  15. final def notify(): Unit

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  16. final def notifyAll(): Unit

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  17. def originalText(tokens: TraversableOnce[Token], startOffset: Int = 0): String

    Rebuild the original text from tokens.

    Rebuild the original text from tokens. This will maintain the original spacing, although different forms of spacing such as tabs will become standard spaces. Optional argument startOffset specifies offset at which the original text began, which is useful for controlling whitespace at beginning of the rebuilt original text string.

  18. object stringFormat extends stringFormat

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

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  20. def toString(): String

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  21. final def wait(): Unit

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

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

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