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com.johnsnowlabs.nlp.annotators.spell.util

Utilities

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object Utilities

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  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 cartesianProduct[T](xss: List[List[_]]): List[List[_]]

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    number of items duplicated in some text

  6. def clone(): AnyRef

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  7. def computeConfidenceValue[A](list: List[A]): Double

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  8. def computeHammingDistance(word1: String, word2: String): Long

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    distance measure between two words

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

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  10. def equals(arg0: Any): Boolean

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  11. def finalize(): Unit

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

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  13. def getFrequency(word: String, wordCount: Map[String, Long]): Long

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    retrieve frequency

  14. def getRandomValueFromList[A](list: List[A]): Option[A]

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  15. def getVowelSwaps(word: String, vowelSwapLimit: Int): List[String]

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    flattens vowel possibilities

  16. def hashCode(): Int

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  17. final def isInstanceOf[T0]: Boolean

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  18. def levenshteinDistance(s1: String, s2: String): Int

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    Computes Levenshtein distance : Metric of measuring difference between two sequences (edit distance) Source: https://rosettacode.org/wiki/Levenshtein_distance

  19. def limitDuplicates(duplicatesLimit: Int, text: String, overrideLimit: Option[Int] = None): String

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

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  21. final def notify(): Unit

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  22. final def notifyAll(): Unit

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  23. def numberOfDuplicates(text: String, id: Int): Int

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  24. def reductions(word: String, reductionsLimit: Int): List[String]

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    possible variations of the word by removing duplicate letters

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

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  26. def toString(): String

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  27. def variants(targetWord: String): List[String]

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    Possibilities analysis

  28. final def wait(): Unit

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

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

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