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c

com.johnsnowlabs.nlp.annotators.er

AhoCorasickAutomatonInternal

class AhoCorasickAutomatonInternal extends Serializable

Aho-Corasick Algorithm: https://dl.acm.org/doi/10.1145/360825.360855 A simple, efficient algorithm to locate all occurrences of any of a finite number of keywords in a string of text. The algorithm consists of constructing a finite state pattern matching machine from the keywords and then using the pattern matching machine to process the text string in a single pass. The complexity of constructing a pattern matching machine and searching the text is linear to the total length of given patterns and the length of a text, respectively.

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Instance Constructors

  1. new AhoCorasickAutomatonInternal(alphabet: String, patterns: Array[EntityPattern], caseSensitive: Boolean = false)

Type Members

  1. class Node extends Serializable

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
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  2. final def ##(): Int
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  3. final def ==(arg0: Any): Boolean
    Definition Classes
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  4. var alphabet: String
  5. final def asInstanceOf[T0]: T0
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  6. def buildAnnotation(chunk: ArrayBuffer[(Char, Int)], entity: String, id: String, sentence: Sentence, extraMetadata: Map[String, String] = Map.empty): Annotation
  7. def clone(): AnyRef
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    protected[lang]
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    @throws( ... ) @native()
  8. final def eq(arg0: AnyRef): Boolean
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  9. def equals(arg0: Any): Boolean
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  10. def finalize(): Unit
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    protected[lang]
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    @throws( classOf[java.lang.Throwable] )
  11. final def getClass(): Class[_]
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    Annotations
    @native()
  12. def hashCode(): Int
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    Annotations
    @native()
  13. final def isInstanceOf[T0]: Boolean
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  14. final def ne(arg0: AnyRef): Boolean
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    AnyRef
  15. var nodeCount: Int
  16. var nodes: Array[Option[Node]]
  17. final def notify(): Unit
    Definition Classes
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    Annotations
    @native()
  18. final def notifyAll(): Unit
    Definition Classes
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    Annotations
    @native()
  19. def searchPatternsInText(sentence: Sentence, extraMetadata: Map[String, String] = Map.empty): Seq[Annotation]

    Second step of Aho-Corasick algorithm: The algorithm starts at the input text’s beginning and in the root state during searching for patterns.

    Second step of Aho-Corasick algorithm: The algorithm starts at the input text’s beginning and in the root state during searching for patterns. It processes the input string in a single pass, and all occurrences of keywords are found, even if they overlap each other.

  20. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
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  21. def toString(): String
    Definition Classes
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  22. final def wait(): Unit
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    Annotations
    @throws( ... )
  23. final def wait(arg0: Long, arg1: Int): Unit
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    @throws( ... )
  24. final def wait(arg0: Long): Unit
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