Packages

  • package root
    Definition Classes
    root
  • package com
    Definition Classes
    root
  • package johnsnowlabs
    Definition Classes
    com
  • package nlp
    Definition Classes
    johnsnowlabs
  • package annotators
    Definition Classes
    nlp
  • package spell
    Definition Classes
    annotators
  • package symmetric
    Definition Classes
    spell
  • class SymmetricDeleteModel extends AnnotatorModel[SymmetricDeleteModel] with HasSimpleAnnotate[SymmetricDeleteModel] with SymmetricDeleteParams

    Symmetric Delete spelling correction algorithm.

    Symmetric Delete spelling correction algorithm.

    The Symmetric Delete spelling correction algorithm reduces the complexity of edit candidate generation and dictionary lookup for a given Damerau-Levenshtein distance. It is six orders of magnitude faster (than the standard approach with deletes + transposes + replaces + inserts) and language independent.

    Inspired by SymSpell.

    Pretrained models can be loaded with pretrained of the companion object:

    val spell = SymmetricDeleteModel.pretrained()
  .setInputCols("token")
  .setOutputCol("spell")

    The default model is "spellcheck_sd", if no name is provided. For available pretrained models please see the Models Hub.

    See SymmetricDeleteModelTestSpec for further reference.

    Example

    import spark.implicits._
import com.johnsnowlabs.nlp.base.DocumentAssembler
import com.johnsnowlabs.nlp.annotators.Tokenizer
import com.johnsnowlabs.nlp.annotators.spell.symmetric.SymmetricDeleteModel
import org.apache.spark.ml.Pipeline

val documentAssembler = new DocumentAssembler()
  .setInputCol("text")
  .setOutputCol("document")

val tokenizer = new Tokenizer()
  .setInputCols("document")
  .setOutputCol("token")

val spellChecker = SymmetricDeleteModel.pretrained()
  .setInputCols("token")
  .setOutputCol("spell")

val pipeline = new Pipeline().setStages(Array(
  documentAssembler,
  tokenizer,
  spellChecker
))

val data = Seq("spmetimes i wrrite wordz erong.").toDF("text")
val result = pipeline.fit(data).transform(data)
result.select("spell.result").show(false)
+--------------------------------------+
|result                                |
+--------------------------------------+
|[sometimes, i, write, words, wrong, .]|
+--------------------------------------+
    Definition Classes
    symmetric
    See also

    NorvigSweetingModel for an alternative approach to spell checking

    ContextSpellCheckerModel for a DL based approach

  • SuggestedWord

case class SuggestedWord(correction: String, frequency: Long, distance: Int, score: Double) extends Product with Serializable

Linear Supertypes
Serializable, Serializable, Product, Equals, AnyRef, Any
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. SuggestedWord
  2. Serializable
  3. Serializable
  4. Product
  5. Equals
  6. AnyRef
  7. Any
  1. Hide All
  2. Show All
Visibility
  1. Public
  2. All

Instance Constructors

  1. new SuggestedWord(correction: String, frequency: Long, distance: Int, score: Double)

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  5. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  6. val correction: String
  7. val distance: Int
  8. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  9. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  10. val frequency: Long
  11. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  12. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  13. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  14. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  15. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  16. val score: Double
  17. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  18. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  19. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  20. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from AnyRef

Inherited from Any

Members